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Lead Authors: Monika Kumar, Sarah Raposa © 2020 The World Bank Contributors: Alexis Wheeler, Victoria Insley 1818 H ST NW Washington DC 20433 All rights Reserved P a g e | i Prepared by World Bank and IFC Corporate Responsibility Programs The World Bank Group FY19 GHG Inventory Management Plan TABLE OF C ONTENTS INTRODUCTION ................................................................................................................ 3 WBG BOUNDARY CONDITIONS............................................................................................. 3 O RGANIZATIONAL BOUNDARY ..................................................................................................................................3 SCOPE...................................................................................................................................................................5 WBG BOUNDARY CONDITION A SSUMPTIONS ............................................................................................................6 EMISSIONS QUANTIFICATION .............................................................................................. 7 SCOPE 1 – DIRECT EMISSIONS..................................................................................................................................7 On-site (Stationary) Combustion – Scope 1 .........................................................................................................7 Refrigerants – Scope 1 ...........................................................................................................................................9 Mobile Sources - Scope 1.................................................................................................................................... 11 SCOPE 2 – INDIRECT EMISSIONS ............................................................................................................................ 13 Electricity Purchases – Scope 2 .......................................................................................................................... 13 Purchased Heat, Steam, and Chilled Water – Scope 2 ..................................................................................... 17 SCOPE 3 – O THER INDIRECT EMISSIONS ................................................................................................................. 19 Business Travel Emissions – Scope 3 ................................................................................................................. 19 Contractor-owned vehicles – scope 3................................................................................................................ 21 DATA MANAGEMENT ...................................................................................................... 21 A CTIVITY DATA AND DATA MANAGEMENT.............................................................................................................. 21 QUALITY ASSURANCE ........................................................................................................................................... 23 DATA GAPS ........................................................................................................................................................ 24 DATA SECURITY................................................................................................................................................... 24 CORPORATE REPORTING FREQUENCY ..................................................................................................................... 24 BASE YEAR .................................................................................................................... 25 A DJUSTMENTS TO BASE YEAR EMISSIONS – STRUCTURAL AND METHODOLOGY CHANGES ............................................. 25 MANAGEMENT TOOLS ..................................................................................................... 26 ROLES AND RESPONSIBILITIES ................................................................................................................................ 26 TRAINING ........................................................................................................................................................... 28 DOCUMENT RETENTION AND CONTROL POLICY ....................................................................................................... 28 AUDITING AND VERIFICATION............................................................................................ 29 INTERNAL A UDITING ............................................................................................................................................ 29 EXTERNAL A UDITING ............................................................................................................................................ 29 MANAGEMENT REVIEW ....................................................................................................................................... 29 CORRECTIVE A CTION............................................................................................................................................ 29 P a g e | ii Prepared by World Bank and IFC Corporate Responsibility Programs The World Bank Group FY19 GHG Inventory Management Plan APPENDIX A: STATIONARY EMISSION FACTORS ...................................................................... 30 APPENDIX B: REFRIGERANT EMISSIONS................................................................................ 31 APPENDIX C: MOBILE FUEL EMISSION FACTORS ..................................................................... 34 APPENDIX D: PURCHASED ELECTRICITY EMISSIONS FACTORS..................................................... 38 APPENDIX E: AIR TRAVEL EMISSIONS FACTORS – METHODOLOGY PRIOR TO FY19 .......................... 42 APPENDIX F: WORLD BANK GROUP FY 19 MASTER LOCATION LIST.............................................. 43 APPENDIX G: UL360 COUNTRY OFFICE SURVEY SCREENSHOTS ................................................... 58 APPENDIX H: AUTOMATIC THRESHOLDS WITHIN UL360 ........................................................... 59 APPENDIX I: REPORTED EMISSIONS..................................................................................... 62 APPENDIX J: MAJOR MEETINGS (SCOPE 3) ............................................................................ 63 APPENDIX K: BUSINESS TRAVEL EMISSIONS - SCOPE 3 – PRIOR METHODOLOGY............................... 3 FIGURES FIGURE 1. O N-SITE FUEL COMBUSTION EMISSIONS CALCULATION .....................................................................................8 FIGURE 2. PRORATING O N-SITE FUEL COMBUSTION EMISSIONS CALCULATION....................................................................8 FIGURE 3. REFRIGERANT EMISSIONS CALCULATION (PREFERRED).......................................................................................9 FIGURE 4: ESTIMATING REFRIGERANT EMISSIONS ......................................................................................................... 10 FIGURE 5. REFRIGERANT EMISSION CALCULATIONS FROM VEHICLES................................................................................ 11 FIGURE 6. MOBILE FUEL EMISSIONS CALCULATION (PREFERRED).................................................................................... 12 FIGURE 7. MOBILE FUEL EMISSIONS CALCULATION (VEHICLE TYPE AND DISTANCE)........................................................... 12 FIGURE 8. MOBILE FUEL EMISSIONS CALCULATION (FUEL COST) .................................................................................... 12 FIGURE 9. PURCHASED ELECT RICITY EMISSIONS CALCULATION (PREFERRED) .................................................................... 14 FIGURE 10 ESTIMATING COUNTRY ELECT RICITY EMISSION FACTORS: LAO PDR ................................................................ 14 FIGURE 11. PURCHASED ELECTRICITY EMISSIONS ESTIMATE (BUILDING A REA) ................................................................. 15 FIGURE 12. ESTIMATING EMISSIONS FROM PURCHASED STEAM ..................................................................................... 18 FIGURE 13. CALCULATING EMISSIONS FROM BUSINESS A IR TRAVEL ................................................................................ 20 FIGURE 14. UL360 L ANDING PAGE............................................................................................................................ 58 FIGURE 15. UL360 O FFICE UTILITY DATA FORM ......................................................................................................... 58 FIGURE 16. UL360 STATIONARY COMBUSTION DATA ENTRY ........................................................................................ 59 FIGURE 17. AIR TRAVEL EMISSIONS CALCULATION (PREFERRED) .......................................................................................3 TABLES TABLE 1. L IST OF WBG U.S. PROPERTIES IN FY19 ..........................................................................................................4 P a g e | ii Prepared by World Bank and IFC Corporate Responsibility Programs The World Bank Group FY19 GHG Inventory Management Plan TABLE 2. A SSUMPTIONS USED TO CREATE INTENSITY RATE FOR REFRIGERANT.................................................................. 10 TABLE 3 VEHICLE REFRIGERANT CHARGE FACTORS ........................................................................................................ 11 TABLE 4. ELECTRICITY A VERAGES FOR WB REGIONS (BASED ON FY08 DATA).................................................................. 15 TABLE 5. ELECTRICITY A VERAGES FOR IFC REGIONS (BASED ON FY 08 DATA).................................................................. 16 TABLE 6. ELECTRICITY A VERAGES FOR COLLOCATED O FFICES .......................................................................................... 17 TABLE 7. A SSUMPTIONS FOR CALCULATING EMISSIONS FROM STEAM ............................................................................. 18 TABLE 8. DATA O RIGINS FOR SCOPE 1 EMISSION SOURCES ............................................................................................ 22 TABLE 9. DATA O RIGINS FOR SCOPE 2 EMISSION SOURCES ............................................................................................ 23 TABLE 10. ROLES AND RESPONSIBILITIES FOR DATA REPORTING ..................................................................................... 26 ACRONYMS AND ABBREVIATIONS ▪ CBAFM Community-Based Adaptation program facilities management unit ▪ CR Corporate Responsibility Program ▪ CH4 methane ▪ CO2 carbon dioxide ▪ CO2eq carbon dioxide equivalent ▪ CESFP IFC Footprint Program ▪ CFC chlorofluorocarbon ▪ DEFRA Department for Environment, Food and Rural Affairs (UK) ▪ EIA United States Energy Information Administration ▪ EPA United States Environmental Protection Agency ▪ FTE full-time employee ▪ GHG greenhouse gas ▪ GCS Global Corporate Solutions ▪ GCSCR Global Corporate Solutions Corporate Real Estate ▪ GCSMS Global Corporate Solutions Mail and Shipping Services ▪ GCSPC Global Corporate Solutions Program Coordination ▪ GCSSC Global Corporate Solutions Corporate Security ▪ GCSTV Global Corporate Solutions Travel and Visa Services ▪ GWP global warming potential ▪ HCFC hydrochlorofluorocarbon ▪ HFC hydrofluorocarbon ▪ HVAC heating, ventilation, and air conditioning ▪ IEA International Energy Agency ▪ IFC International Finance Corporation ▪ IMP Inventory Management Plan ▪ IPCC Intergovernmental Panel on Climate Change ▪ kWh kilowatt-hour ▪ N2O nitrous oxide ▪ PFC perfluorocarbon ▪ SF6 sulfur hexafluoride ▪ WB World Bank, including the International Bank for Reconstruction and Development and the International Development Association ▪ WBCSD World Business Council for Sustainable Development ▪ WBG World Bank Group, including the International Bank for Reconstruction and Development, P a g e | ii Prepared by World Bank and IFC Corporate Responsibility Programs The World Bank Group FY19 GHG Inventory Management Plan International Development Association, International Finance Corporation, Multilateral Investment Guarantee Agency, and the International Center for Settlement of Investment Disputes ▪ WRI World Resources Institute Key Contacts Organization Name: The World Bank: IBRD/IDA Corporate Address: 1818 H St. NW, Washington, DC USA 20433 Inventory Manager: World Bank Corporate Responsibility Program: Team Lead: Nadja Bleiber, Senior Environmental Specialist Monika Kumar, Environmental Specialist Contact Information: crinfo@worldbank.org Organization Name: International Finance Corporation (IFC) Corporate Address: 2121 Pennsylvania Ave. NW, Washington, DC USA 20433 Inventory Manager: Corporate Real Estate Environmental Sustainability Officer, Victoria Insley Contact information: E-mail: vinsley@ifc.org 2|P a g e The World Bank Group FY19 GHG Inventory Management Plan INTRODUCTION This Greenhouse Gas Emissions Inventory Management Plan (IMP) provides a detailed foundation for the World Bank Group’s (WBG) comprehensive effort to measure and manage greenhouse gas emissions from its internal global business operations. The IMP does not apply to the lending or technical assistance activities that the World Bank Group provides to its public and private sector clients. This document provides organization-wide information, including corporate overview and goals, boundary conditions of the inventory, emissions quantification methods, data management methods, base year selection discussion, list of management tools, and auditing and verification processes. The World Bank Group consists of five closely associated institutions operating in over 180 countries and owned by member countries that carry ultimate decision-making power. Each institution plays a distinct role in the mission to fight poverty and improve living standards for people in the developing world. The IMP sets forth the current scope and vision of WBG’s commitment to inventory and manage greenhouse gas (GHG) emissions for its internal global business operations and contains the WBG’s greenhouse gas inventory methodology. It sets forth the WBG’s intention to create a GHG inventory that is consistent with the principles and guidance of the World Resources Institute (WRI) and the World Business Council for Sustainable Development’s (WBCSD) Greenhouse Gas Protocol Initiative (GHG Protocol) for its internal corporate GHG accounting and reporting. The inventory methodology is designed to meet the most rigorous and complete accounting and reporting standards. This IMP includes information that applies to the offices located in the United States and abides by the United States’ Environmental Protection Agency (EPA) guidance for GHG inventories. The global facilities inventory is maintained on a fiscal year basis only. Both domestic and international emissions are calculated using the same methodology to ensure consistency in the quantification process among all locations. This IMP is utilized for reporting to external stakeholders, including through CDP and the UN Climate Neutral Initiative. WBG BOUNDARY C ONDITIONS Boundary conditions serve as the foundation for the GHG inventory by defining both the inventory’s breadth and depth. To provide a rigorous and complete GHG inventory, the WBG has defined both organizational and operational boundary conditions consistent with the GHG Protocol guidance. ORGANIZATIONAL BOUNDARY GHG Protocol definition Organization boundary conditions define the breadth of the GHG inventory by identifying the locations where the WBG assumes responsibility for GHG emissions. According to the GHG Protocol, a company’s organizational boundaries can either be defined by the amount of equity a company has in an operation (“Equity Approach”) or based on a company’s operational control over a location or facility (“Control Approach”). The GHG Protocol also requires that a company select the type of organizational boundary according to which method most accurately reflects the day-to-day practices of the business. That boundary approach should then be consistently applied to define the company’s business and operations in a way that best constitutes the business’ s operations for the purpose of GHG emissions accounting and reporting. WBG Boundary The WBG has chosen to set its organizational boundaries for the GHG inventory according to the operational control approach. Consistent with this approach the WBG accounts for GHG emissions from its locations for which it has direct control over operations, and where it can influence decisions that impact GHG emissions. This includes all owned and leased facilities/vehicles operated by WBG. A portion of leased facilities o perate under full- service gross leases, where the building owner/manager pays the utilities directly and WBG does not have 3|P a g e The World Bank Group FY19 GHG Inventory Management Plan access to actual energy consumption information. The WBG includes these facilities in its definition of operational control and estimates the energy consumption as well as refrigerant use if this data is unavailable as described in the Data Management section below. WB locations have been identified by the Global Corporate Solutions Corporate Real Estate team (GCSCR), while IFC locations are from the IFC Real Estate Database managed by the IFC’s Facilities Management team . A list of all offices included in the FY19 GHG inventory can be found in Appendix F. Washington, DC Specific In the United States, the World Bank Group owns or leases facilities located in Washington, DC, Virginia, Maryland, Pennsylvania, and New York. A list of these facilities is presented in Table 1. Table 1. List of WBG U.S. Properties in FY19 Building Status Size In Name Address (Own/Lease) Operational Control Inventory (gross ft ) 2 Pennsylvania, near Scope 1, Archives Pittsburgh Lease WB Non-Operating 54,713 2 4120 Lafayette Center Dr. Scope 1, CF (BCC) Chantilly, VA 20151 Lease WB Operating 54,530 2 2121 Pennsylvania Ave. NW Scope 1, F Own IFC Owned 803,536 2 Washington, DC 20433 1776 G St. NW Scope 1, G Lease WB Non-Operating 210,000 Washington, DC 20006 2 1850 I St. NW Scope 1, I Washington, DC 20433 Own WB Owned 601,446 2 701 18th St. NW Scope 1, J Washington, DC 20433 Own WB Operating 533,894 2 1818 H St. NW Scope 1, MC Washington, DC 20433 Own WB Owned 2,065,507 2 1225 Connecticut Ave NW Scope 1, C Washington, DC 20036 Own WB Owned 240,811 2 1899 Pennsylvania Ave Scope 1, N NW, Washington, DC Lease WB Non-Operating 35,801 2 20433 1800 G St. NW, Scope 1, U Lease WB Non-Operating 85,500 Washington, DC 20433 2 1 Dag Hammarskjold UN Liaison Plaza, 885 2nd Ave., 26th Scope 1, Office Fl., Lease WB Non-Operating 4,822 2 New York, NY 10017 4|P a g e The World Bank Group FY19 GHG Inventory Management Plan Dulles Commerce Center, VA Ware- Bldg. 100, 23760 Pebble Scope 1, house Lease WB Operating 50,030 Run Dr., Sterling, VA 2 (DCC) 20166 Landover Service 3301 Pennsy Dr Scope 1, Center Lease WB Operating 54,595 2 Landover, MD 20785 (LSC) SCOPE GHG Protocol definition of Scope The World Bank Group segregates its emissions types by Scopes 1, 2, and 3, as defined by the GHG Protocol. The following are examples of office emissions sources from the GHG Protocol publication Working 9 to 5 on Climate Change: An Office Guide (WRI 2002). ▪ Combustion of fuel in boilers or furnaces that are owned by the reporting organization ▪ Generation of electricity, steam, or heat in equipment that is owned by the reporting organization Scope 1: Direct ▪ Business travel in vehicles that are owned by the reporting organization, such as company emissions sources cars or corporate jets ▪ Employee commuting in company-owned vehicles, such as shuttles and company cars ▪ Fugitive emissions of refrigerant from chillers or other refrigeration units owned by the reporting organization Scope 2: Indirect ▪ Generation of purchased electricity, steam, heat, or chilled water emissions sources Scope 3: Optional ▪ Business travel in non-company-owned vehicles such as rental cars, employee cars, trains, sources and commercial planes WBG Scope Since 2008, the operational boundary of the WBG’s carbon inventory has included all core direct (Scope 1) and indirect (Scope 2) emissions associated with all global WBG facilities with operational control (including headquarters operations in Washington, DC, all leased facilities, and all country offices). Emissions from global business air travel are included in Scope 3. Specifically: ▪ Direct Emissions from sources that are owned or controlled by the WBG, including emissions from on- site fuel burning equipment (for example, boilers, backup generators) and fugitive emissions from process equipment (for example, refrigerant from refrigeration and HVAC equipment). Mobile emissions from combustion of fuel in WBG-owned vehicles are also included. ▪ Indirect Emissions from electricity, steam and chilled water purchased by the WBG. ▪ Other Indirect Emissions from business air travel booked and paid for by WBG as well as leased vehicles operated by other organizations. GHG List The WBG GHG inventory includes emissions from four of the six major GHG gases (there are no known emissions from SF 6 and PFCs): 5|P a g e The World Bank Group FY19 GHG Inventory Management Plan ▪ CO2 ▪ CH4 ▪ N2O ▪ HFCs In addition, the global inventory includes emissions from CFCs and HCFCs as supplemental emissions, both of which are optional for inventory and reporting purposes according to GHG Protocol and EPA Climate Leaders guidance. WBG BOUNDARY CONDITION ASSUMPTIONS To the extent possible, this IMP attempts to standardize our inventory methodology to all WBG offices. There are, however, a few exceptions. Our boundary assumptions are outlined below. Assumptions: Global Inventory • For shared World Bank and IFC office space, emissions are apportioned between the agencies by percentage of total area as detailed in lease agreements and memoranda of understanding. When this information is not available, emissions are apportioned by percentage of area which is based on the percentage of total staff for each agency. For example, in a location where the proportion of IFC to WB space is not known, if there are an equal number of staff from each agency, then it is assumed that each agency occupies an equal amount of space in the office. • In FY19, data related to electricity use, stationary combustion, refrigerant recharge amounts, purchased steam, purchased chilled water and water usage were collected at a WBG collocated office level where appropriate. This data was then apportioned to each agency as described above. • For business travel, only air travel booked and paid for by WBG and travel by contracted car service data is collected and included because the majority of WBG business travel impacts are associated with plane travel. • While every office is provided an opportunity to report activity data where possible, WBG’s online data management system allows the data provider from an office with five or fewer employees the option to (a) default to estimated emissions for electricity use and refrigerants (methodology for estimations are provided in relevant sections below in this IMP), and (b) to exempt the office from reporting on-site fuel and mobile sources if the information is not easily accessible (estimates are not made for on-site fuel and mobiles sources given there is no credible methodology to do so). • In FY07, employee number estimates were based on numbers for staff and extended-term consultants and extended-term temporaries as of the close of the fiscal year (June 30) provided by the Human Resources department. In FY08 the WBG requested that country offices provide data on all employees located in their offices, detailing the number of contractors, consultants, and staff working from the office as of the close of the fiscal year (June 30). For FY09-FY19, the WBG reverted to numbers for staff and extended-term consultants and temporaries as of the close of the fiscal year (June 30) provided by Human Resources to standardize measurement. • Homes owned by the WBG in developing countries are not included in the inventory because the WBG does not control the operations of these buildings and activity data is difficult to obtain. Exceptions: • The WB and IFC share Archive, Business Continuity Center, and Warehouse space leased by the World Bank. Since the World Bank manages these leases, the World Bank reports 100 percent of these emissions, including the Chantilly Facility (CF; located in Chantilly, VA), the Archives (located near Pittsburgh, PA), the Landover Service Center (LSC; located in Landover, MD), and the Warehouse (DCC, located in Sterling, VA). • Emissions are estimated for buildings in Washington, DC where the WBG lacks operational control and where the building management company does not provide data. To estimate emissions, assumptions about electricity usage are made based on area. Refrigerant emissions are estimated based on the technique described below. Due to lack of access to information, estimates are not made for on-site fuel consumption. • There are shuttle vans in Washington, DC leased by the WB and used by both WB and IFC employees. The WB accounts for 100 percent of these emissions because they control the van leases and employ the 6|P a g e The World Bank Group FY19 GHG Inventory Management Plan van drivers. Because the IFC does not own any vehicles in Washington, DC, no emissions associated with vehicle refrigerant are reported. EMISSIONS Q UANTIFICATION The following sections explain the GHG emissions quantification approach for each of the WBG’s emissions sources contained within the boundaries of the FY19 GHG inventory. All methodologies are based on guidance from the GHG Protocol with emission factors taken from governmental and international organizations such as the Intergovernmental Panel on Climate Change (IPCC), EPA, and the International Energy Agency (IEA). All sources are noted in the appendices. Emissions for both country offices and Washington, DC are calculated using similar equations. An annual survey is conducted to collect activity data from WBG locations in the Master Location List (Appendix F). Beginning in FY09, this survey was conducted through a Web-based data management system called UL360 (previously CR360 and Credit360), found online. See Appendix G for screenshots from the FY19 survey. When activity data is unavailable, emissions estimates are made for electricity, refrigerants, and based on office area. Data gaps and data quality issues still exist in the WBG’s inventory that will be addressed along with data quality issues as additional and more accurate data become available over time. The primary data gaps are in country offices and predominately in smaller offices. SCOPE 1 – DIRECT EMISSIONS O N-SITE (STATIONARY) C OMBUSTION – SCOPE 1 GHG Protocol definition On-site combustion of fossil fuels for the generation of electricity, heat, or steam is one source of direct emissions. Quantifying Emissions from On-site (Stationary) Combustion To calculate the GHG emissions from on-site fuel combustion, the WBG collects the annual quantity of fuel purchased. To be conservative, the WBG assumes that all fuel purchased is also combusted in on-site operations in that same year. An appropriate emissions factor for each fuel type used is applied. Fuels used at WBG locations include diesel, gasoline, natural gas, propane, LPG, and kerosene. Emissions are determined for each fuel source by multiplying the total annual fuel quantity expressed in units of energy purchased by the appropriate emissions factors for CO2, CH4, and N2O. If fuel quantity purchased is reported in volume or mass, this quantity is converted to units of energy based on the fuel’s heat content. Heat contents for specific fuels are listed in Appendix A. Totals for CH4 and N2O are multiplied by their global warming potentials (GWPs) to calculate CO2 equivalent emissions. See Appendix A for a table detailing stationary fuel emissions factors. CO2 and CO2 equivalent emissions for all fuels combusted are summed to obtain the total CO2 equivalent (CO2eq) emissions for the year. Figure 1 shows the calculation used when data is provided. 7|P a g e The World Bank Group FY19 GHG Inventory Management Plan Figure 1. On-site Fuel Combustion Emissions Calculation Source: WB Staff Methodology for estimating emissions from onsite (stationary) combustion Occasionally, WBG offices provide activity data on total fuel use for their buildings but not for WBG occupied space. In this case, if both the total building area is known as well as the WBG occupied area, the total fuel use is prorated for WBG occupied space and then multiplied by the appropriate emissions factors ( Figure 2) to obtain the total CO2 equivalent emissions for the year. Figure 2. Prorating On-site Fuel Combustion Emissions Calculation Fuel Usage Quantity Area of WBG office Area of Entire Prorated fuel usage – entire building X / = Building quantity (energy) (energy) Fuel-Specific CO2 = Metric Tons CO2 Emissions Factor Prorated Fuel Usage Fuel-Specific CH4 CH4 Global X X = Metric Tons CH4 Quantity (energy) Emissions Factor Warming Potential X Fuel-Specific N 2O X N2O Global = Metric Tons N2O Emissions Factor Warming Potential Metric Tons CO2 Metric Tons CO2 eq Metric Tons CO2 eq Total Metric Tons + + = (CH4) (N2O ) CO2 eq from Onsite Combustion Source: WB Staff 8|P a g e The World Bank Group FY19 GHG Inventory Management Plan There is no credible methodology to estimate emissions for missing on-site fuel data. The WBG’s online data management system allows the data provider from an office with five or fewer employees the option to exempt himself/herself from reporting on-site fuel if the information is not easily accessible. The WBG anticipates this data gap will improve in years to come as data providers gain more experience in gathering the data. If an office has provided reliable fuel data in previous years but did not provide a response to the call for data this year, fuel use from the previous year is used as a proxy for this year’s fuel use. R EFRIGERANTS – SCOPE 1 GHG Protocol definition Refrigeration, freezer, and air-conditioning equipment leak refrigerants. GHGs from heating, ventilation, or air conditioning (HVAC) operations, refrigeration, and freezer units are not intentionally released, but escape into the atmosphere as fugitive emissions through varying means, including but not limited to maintenance, installation , disposal, and operational leakage. Each refrigerant CO2 equivalent (CO2eq) is calculated by multiplying the mass of refrigerant by its global warming potential (GWP). Two methods to calculate GHG emissions of refrigerants are explained in the GHG Protocol. The first (preferred) method requires the annual amount of each type of refrigerant purchased for each location (quantity-purchased method). The second method, relating to capacity and leakage characteristics by equipment type, requires the total capacity for refrigerants in each type of equipment used at a location, the corresponding manufacturer’s leakage rate for each type of equipment, and the type of refrigerant used in each type of equipment. Equipment types are distinguished by whether the equipment is a HVAC unit, a freezer, or a refrigeration unit. Due to limited information about equipment specifications, only the first method is used for the WBG inventory. Quantifying Emissions from Refrigerants Refrigerant CO2 equivalents are calculated by multiplying the weight of escaped refrigerant by the corresponding GWP. GWPs for refrigerants reported in the inventory are gathered from the IPCC or from sources referencing the IPCC. See Appendix B for details on GWPs of refrigerants and sources. If the type of refrigerant is unknown (“other” is chosen in the online survey), HFC-134a is assumed to be the refrigerant type. See Figure 3 for the preferred calculation methodology, and Table 2 for the calculation method used in cases where refrigerant data are not available. Figure 3. Refrigerant Emissions Calculation (Preferred) Refrigerant-Specific Total Mtons Refrigerant Global Warming CO2 eq from Recharge Quantity X = Potential Refrigerants Source: WB Staff Estimating Emissions from Refrigerants In some cases, WBG country offices provide the refrigerant recharge quantity for the entire building but not for WBG occupied space. In this case, if both the total building area is known as well as the WBG occupied area, the total refrigerant recharge amount is prorated for the WBG occupied space and then multiplied by the appropriate refrigerant-specific global warming potential to obtain the total CO2eq emissions for the year. In the case where activity data (refrigerant purchases) is not available for use, emissions are estimated based on the refrigerant emission rate (ton refrigerant emitted/ft2/year) based on the occupied WB/IFC building area. The method used to calculate the intensity rate is laid out in Table 2. In this method, the estimated area per ton of cooling (one ton of cooling per 500 ft 2 is commonly used in the United States and will be used globally for our purposes) is multiplied by a conversion factor of one ton of cooling per one kg of refrigerant charge and then by an assumed leakage rate of 10 percent. The resulting kilogram of refrigerant per square foot factor is multiplied by the square footage of the location that did not provide refrigeration data. This calculation results in the estimated number of kilograms of refrigerant recharge used in the IFC/WB building area. 9|P a g e The World Bank Group FY19 GHG Inventory Management Plan Table 2. Assumptions Used to Create Intensity Rate for Refrigerant Amount Step Assumed Source Estimated area per ton cooling (ft 2/ton) ) 500 HVAC rule of thumb Climate Leaders – Direct HFC and PFC Emissions Refrigerant charge per cooling ton (kg/ton) 1 from Use of Refrigeration and Air-Conditioning Equipment Climate Leaders – Direct HFC and PFC Emissions from Use of Refrigeration and Air-Conditioning Annual operating loss factor 10% Equipment Table 2: Type of Equipment – Residential and Commercial A/C Emission Rate (ton refrigerant per ft 2-year) 0.0000002 Source: WB Staff The emissions rate used (0.0000002 ton refrigerant per ft 2-year) is then multiplied by the area of the WB/IFC building area and then by the GWP of the refrigerant type specified. If the refrigerant type is unknown, the WB/IFC conservatively assumes the refrigerant type to be HFC-R134a. This number is converted to metric tons to calculate the total metric tons of CO2eq emitted (Figure 4). Figure 4: Estimating Refrigerant emissions Refrigerant-Specific Total Mtons Emissions Rate Occupied area X Global Warming - = CO 2 eq from X Refrigerants Potential 2 Source: WB Staff Refrigerant data is often one of the hardest pieces of information for offices to collect. While every office is provided an opportunity to report activity data where possible, the WBG’s online data management system allows the data provider from an office with five or fewer employees or from those offices that cannot collect the required data the option to default to estimated emissions for refrigerants. Estimates are included for completeness, however they represent a small portion of the WBG’s emissions source because WBG operations do not require a high intensity of refrigeration. The WBG anticipates this data gap will improve in years to come as data providers gain more experience in gathering the data. Quantifying Refrigerant Emissions from Vehicles Refrigerants utilized in vehicles for air conditioning are a small part of the WBG’s GHG emissions from internal business operations and estimated based on the vehicle type. The WBG includes data on refrigerants from vehicles used globally. 163 number of offices report owning vehicles in FY19. In accordance with the “operational control approach” for organizational boundaries, the WBG reports data for fleet vehicles that it owns and leases. All mobile emissions from refrigerants, regardless of location, are calculated using the same methodology to ensure consistency in the quantification process. Where available, the number of vehicles, grouped by each vehicle type, is multiplied by the standard refrigerant charge per unit as outlined by the EPA. For example, all passenger cars are assumed to use R- 134a and have a charge per unit of 0.8, thus eight passenger cars will have a total charge of 6.4 kg of refrigerant. The total charge is then multiplied by the standard operating loss factor (20 percent) to arrive at 10 | P a g e The World Bank Group FY19 GHG Inventory Management Plan the annual refrigerant loss in kg. The annual refrigerant lost is multiplied by the global warming potential of that refrigerant (most A/Cs are R-134a) to obtain the total metric tons of CO2eq emitted (Figure 5). Figure 5. Refrigerant Emission Calculations from Vehicles Number of Owned Standard Refrigerant Standard operating Annual Refrigerant Vehicles X Charge per vehicle X loss factor (20%) = loss (kg) Annual Refrigerant Refrigerant-Specific Convert kg to mtons Total metric tons loss (kg) X Global Warming ÷ (1000) = CO2 eq from Potential refrigerants Source: TK Table 3 Vehicle Refrigerant Charge Factors Vehicle Type Charge Factor Source Passenger Car 0.8 EPA Refrigerant Guidance, 2004 Light Truck 1.2 Table 2 MOBILE SOURCES - SCOPE 1 GHG Protocol definition Mobile GHG emissions result from the combustion of fuel in an organization’s owned and leased vehicles. In accordance with the “operational control approach” for organizational boundaries, the WBG reports data for fleet vehicles that it owns and leases. All mobile emissions, regardless of location, are calculated using the same methodology to ensure consistency in the quantification process. In the United States, the EPA provides vehicle-specific emissions factors that are used to derive CH4 and N2O emissions from vehicles. To calculate these emissions, fuel usage quantity is multiplied by CH4 and N2O emission factors for the respective vehicle type. The CO 2, CH4, and N 2O emissions are then added to quantify CO2eq. Since collecting precise car models from all country offices is a difficult task, country office emissions calculations use one set of CH4 and N 2O factors for each fuel type (gasoline, diesel, and LPG). These standards have been set in place until more accurate data is available. Quantifying Emissions from Mobile Sources The majority of WBG offices report the quantity of fuel used from driver logs or invoices. Direct CO2eq emissions from owned mobile combustion sources are calculated based on fuel purchase records, where available. Many vehicles have fuel consumption logs to track their purchases. All transport fuel emissions factors are listed in Appendix C. The preferred approach to calculate mobile sources is to multiply the volume of fuel by the fuel-specific CO2eq emissions factors to calculate the total CO2eq emissions (Figure 6). 11 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Figure 6. Mobile Fuel Emissions Calculation (Preferred) Fuel Usage Quantity Fuel-Specific CO2eq Total Metric Tons (volume) X Emissions Factor = CO2eq from Mobile Combustion Source: TK Methodology for Estimating Emissions from Mobile Sources When no transport fuel data is provided, the WBG makes estimates based on distance driven and fuel economy of the vehicle type (Figure 7). For the purposes of calculating emissions, gasoline is assumed to be the fuel used when estimating emissions in this fashion for sedans and motorcycles, and diesel is assumed to be the fuel used when estimating emissions in this fashion for SUVs, light trucks and heavy trucks. Figure 7. Mobile Fuel Emissions Calculation (Vehicle Type and Distance) Vehicle-Specific Estimated Fuel Total Distance Driven X Fuel Efficiency = Usage Quantity (volume of fuel/distance) Estimated Fuel Usage Fuel-Specific CO2eq Total Metric Tons Quantity X Emissions Factor = CO2eq from Mobile Combustion Source: TK If mileage and fuel economy are not available, data providers are given an option to report total amount spent on fuel over the fiscal year, and the cost of fuel (in US Dollars) per gallon or liter in the city location on average over the fiscal year. Data providers are also asked to indicate the type of fuel purchased. Emissions estimates are then made based on the total fuel costs and the average cost of fuel per gallon or liter provided (Figure 8). Figure 8. Mobile Fuel Emissions Calculation (Fuel Cost) Average Cost per Estimated Fuel Total Fuel Cost / Unit of Fuel Type = Usage Quantity Estimated Fuel Usage Fuel-Specific CO2eq Total Metric Tons Quantity X Emissions Factor = CO2eq from Mobile Combustion 12 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Source: TK Not all offices report mobile fuel use. Some do not have any owned or leased vehicles. The WBG’s online data management system allows the data provider from an office with five or fewer employees the option to exempt himself/herself from reporting mobile fuel if the information is not easily accessible. In FY19, there were a few cases where offices did not reply to the survey but had done so in previous years. In these cases, data regarding fuel use in FY18 was used as a proxy for FY19 fuel use. SCOPE 2 – INDIRECT EMISSIONS ELECTRICITY PURCHASES – SCOPE 2 GHG Protocol definition The second scope of emissions under the GHG Protocol is indirect emissions from purchased electricity. These emissions are classified as indirect because the emissions do not occur at the facility, but rather at the plant where the electricity or steam is generated from fuel. These emissions are a consequence of the activities of the organization because although the organization does not own or control the sources, its actions require the generation of electricity. Organizations report emissions from the generation of purchased electricity that is used by equipment or operations controlled by them. For many organizations, purchased electricity represents one of the largest sources of GHG emissions and is the area where the most opportunities for reductions in GHG emissions exist. WBG uses the location-based methodology for calculating GHG emissions from electricity. The location-based method reflects the average emissions intensity of grids on which energy consumption occurs. WBG does not calculate GHG emissions from electricity with the market-based methodology at this time. Electricity activity data for each WB/IFC office is collected using one of three methods. The preference for reporting the data is to use method one. If this data is not available, then method two is used, and as a last resort, method three is employed. WBG methods for reporting electricity data: 1. Where possible, annual metered electricity usage (kWh) is reported for WBG offices in which the data provider was able to obtain information from electricity invoices. 2. For WBG offices without separate meters, data providers are asked to provide electricity invoice data for the entire building, total area of the entire building, and area of IFC/WB-occupied space in the building which is then prorated to the annual electricity usage based on the portion of IFC/WB-occupied area in the entire building, and the electricity use invoiced for the entire building. 3. For offices that do not provide any data, estimates are based on regional electricity intensity (kWh/ft 2) established from actual data provided from method one. This method is explained below in more detail. Quantifying Emissions from Electricity GHG emissions from the generation of electricity include CO 2, CH4, and N 2O. GHG emissions are calculated based on the amount of kWh purchased multiplied by the power plant emissions factor. WBG offices often do not have enough information about the specific plants or power pools that provide them with power and electricity. Therefore, for the WBG’s facilities, GHG emissions from electricity usage are calculated based on the amount (kWh) of electricity purchased and then multiplied by the subregion, region, or country-specific emissions factor for CO2, CH4, and N2O. For electricity purchased in the United States, each year emissions factors are taken from the most recent EPA eGRID to calculate GHG emissions. In accordance with EPA guidelines, previous years’ inventories are not retroactively updated with the most recent emission factors. The emission factors used to calculate the FY19 inventory come from eGRID 2016. 13 | P a g e The World Bank Group FY19 GHG Inventory Management Plan The WBG uses region or country-specific emissions factors from IEA or country-based analogs for all other locations. All emissions factors are listed in Appendix D. Figure 9 shows the GHG emissions calculation for WBG locations where energy use amounts are provided. Figure 9. Purchased Electricity Emissions Calculation (Preferred) Region Specific Emissions Factor Mtons CO2 X for CO2 = kWh of Region Specific CH 4 Global Emission Factor Mtons CO2 eq Purchased Warming Potential X for CH4 X = (CH4) Electricity Region Specific N2O Global Mtons CO2 eq Emission Factor Warming Potential (N2O) X For N2O X = Total Mtons Mtons CO2 eq Mtons CO2 eq Mtons CO2 (N2O) CO 2 eq from + (CH4) + = electricity Source: WB Staff For some countries, IEA country-specific emission factors do not exist. In these cases, region average CO2/kWh emissions factor are used as found in the IEA document “CO2 -highlights.xls”. To calculate CH4 and N2O emissions factors, the ratio of CH4 and N2O to CO2 emission factors is calculated, which is then multiplied by the CO2 emission factor for each respective GHG. For example: Figure 10 Estimating Country Electricity Emission Factors: Lao PDR Source: WB Staff Methodology for Estimating Electricity Use For offices that provide electricity consumption for the entire building but not for the IFC/WB-occupied area, annual electricity consumption is prorated for the IFC/WB-occupied area. This is accomplished by dividing the IFC/WB-occupied space by the size of the entire building and then multiplying this figure by the annual electricity consumption of the facility. 14 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Figure 11. Purchased Electricity Emissions Estimate (Building Area) Estimated kWh Building area Average kWh/ of purchased X area/yr = electricity Region Specific Emissions Factor Mtons CO2 X for CO2 = Estimated kWh Region Specific Mtons CO2 eq CH 4 Global of Purchased Emissions Factor X X Warming Potential = (CH4) Electricity for CH4 Region Specific N2O Global Mtons CO2 eq Emissions Factor Warming Potential X For N2O X = (N2O) Mtons CO2 eq Total Mtons Mtons CO2 Mtons CO2 eq CO2 eq from + (CH4) + (N2O) = Electricity Source: TK While every office is provided an opportunity to report activity data where possible, the WBG’s online data management system allows the data provider from an office with five or fewer employees the option to default to estimated emissions for electricity use. For WBG offices that are unable to provide electricity consumption data, an estimate of annual electricity use is calculated based on an IFC/WB regional electricity intensity figure and the area of the office occupied (Figure 11). The intensity figure is calculated for each IFC or WB region by adding the annual electricity consumption for each country office that responded within that region and dividing the sum by the sum of the area of each office to generate an electricity consumption per area (kWh/ft 2) intensity figure. For collocated offices, this intensity figure is an average of the IFC and WB regional intensity figures. This regional figure is then multiplied by the area of each non-responding country offices to calculate an estimate of electricity consumption (kWh) for each country office. Tables 4 (WB) and 5 (IFC) show the IFC/WB country offices that were used to calculate each regional average. These numbers may change in the future as more comprehensive data is collected. In this instance, we would recalculate previous years emissions for electricity based on the new electricity intensity averages. We will continue to use the FY08 averages, until stating a new base year, at which time we will recalculate these electricity intensity averages for each region. Table 4. Electricity Averages for WB Regions (Based on FY08 Data) WB Region Average Based on the Following Countries kWh/ft 2 Australia, Cambodia, China, Indonesia (Jakarta), East Asia and the Pacific (EAP) Laos, Thailand, Timor-Leste, Vietnam (Hanoi) 11.1 Albania, Armenia, Belarus, Georgia, Kazakhstan (Almaty), Kosovo, Kyrgyz Republic, Macedonia, Europe and Central Asia (ECA) Poland, Romania, Serbia, Tajikistan, Turkey, 14.8 Ukraine 15 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Argentina, Bolivia, Colombia, Dominican Republic, Latin America and the Caribbean Ecuador, Guatemala, Haiti, Honduras, Jamaica, 15.2 (LCR) Peru Middle East and North Africa (MNA) Egypt 15.1 India (New Delhi–70 Lodhi, 53 Lodhi Estate, Golf South Asia (SAR) Links, Polish Embassy), Pakistan 18.2 Benin, Burkina Faso, Eritrea, Ethiopia, Gabon, Sub-Saharan (AFR) Ghana, Malawi, Niger, Rwanda, Senegal, 10.8 Zimbabwe United States/Other United States 23.0 Locations omitted were Bangladesh, D.R. of Congo, India (New Delhi– INTACH), Iran, Liberia, Mexico, Moldova, Mozambique, Paraguay, Russian Federation (Moscow), Sudan (Juba), Uruguay. Source: WB Staff Table 5. Electricity Averages for IFC Regions (Based on FY 08 Data) IFC Region Average Based on the Following Countries kWh/ft 2 13.2 Central & Eastern Europe (CEU) Georgia, Ukraine (Kiev, Vinnytsia) Australia, China (Chengdu, Hong Kong, Beijing), East Asia & the Pacific (CEA) Indonesia (Aceh, Jakarta), Lao P.D.R., Philippines 8.6 (Manila), Vietnam (Hanoi, Ho Chi Minh City) Latin America & the Caribbean Argentina, Bolivia, Brazil (Rio de Janeiro, Sao (CLA) Paulo), Colombia, Mexico, Peru 9.0 Middle East & North Africa (CME) Egypt, Morocco 10.6 South Asia (CSA) Bangladesh, Sri Lanka 20.1 Southern Europe & Central Asia Albania, Kazakhstan, Kyrgyz Republic, 9.3 (CSE) Macedonia, Serbia and Montenegro, Turkey Sub-Saharan Africa (CAF) Cameroon, Nigeria, Senegal, South Africa 9.0 Part 1 Countries United Kingdom 34 U.S. facilities with operational-control (F) 21.6 United States 16 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Locations omitted were Algeria, Belarus, Bosnia and Herzegovina, France, India (New Delhi), Indonesia (Aceh), Jordan, Kenya (Nairobi), Laos, Romania, Mongolia, Pakistan (Karachi, Islamabad), Russian Federation (Moscow), Ukraine (Vinnytsia), Yemen. Source: WB Staff Table 6. Electricity Averages for Collocated Offices Collocated Region kWh/ft 2 9.84 East Asia and the Pacific Europe and Central Asia 14.78 Latin America & the Caribbean 12.09 Middle East & North Africa 12.84 South Asia 19.13 Sub-Saharan Africa 9.89 Other/Part 1 28.47 PURCHASED HEAT, STEAM, AND C HILLED WATER – SCOPE 2 Indirect emissions also include emissions from heat, steam, and chilled water purchased for use in WBG offices. Although the number of offices that purchase heat, steam, or chilled water is small, in the effort of completeness we have decided to include these purchases. At the WBG Washington, DC offices, heat, steam, and chilled water are not purchased. Quantifying Emissions from Steam Emissions from the purchase of steam are estimated based on the amount of steam purchased and an assumed fuel type (natural gas) and boiler efficiency (80 percent) based on the EPA Climate Leaders Guidance “Indirect Emissions from Purchases/Sales of Electricity and Steam.” Steam purchase can usually be found on utility bills or other records. If steam purchased is communicated in mass instead of energy, the mass is converted to energy based on the heat content of steam (assumed to be 1200 Btu/lb). The steam purchased (in units of energy) is divided by the boiler efficiency and then multiplied by emission factor for each GHG for natural gas. Each GHG is multiplied by its GWP and added to calculate the CO2 equivalent emissions from the purchase of steam (Figure 12). 17 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Figure 12. Estimating Emissions from Purchased Steam Amount of steam / Boiler efficiency = Amount of fuel purchased (energy) (80%) used for steam (energy) Fuel-specific CO2 = Metric Tons CO2 X emission factor Amount of fuel used for steam Fuel-specific CH4 CH4 GWP Metric Tons CO2 eq (energy) X emission factor X = (CH4) Fuel-specific N2O N2O GWP Metric Tons CO2 eq X X = emission factor (N2O) Metric Tons CO2 + Metric Tons CH4 + Metric Tons N 2O = Metric tons CO2 eq Source: TK Table 7. Assumptions for Calculating Emissions from Steam Category Assumption Fuel Type Natural Gas Fuel to Steam Conversion Efficiency 80% Steam Heat Content (Btu/lb) 1200 Source: WB Staff Quantifying Emissions from Chilled Water Estimates for emissions from chilled water production are a small part of the overall WBG emissions inventory. In FY19, only offices in Singapore, Cairo (Egypt), Libreville (Gabon), Bangkok (Thailand), Phnom Penh (Cambodia), and Jakarta (Indonesia) responded with data regarding their chilled water purchases. The activity data used to calculate emissions resulting from purchases of chilled water are ton-hours and the electric grid country/regional factor. A default estimate is used in the calculation unless site-specific data is available regarding the chilled water supplier. A chiller efficiency of 0.75 kW per ton of cooling is assumed as the default, which was obtained from the 2006 Buildings Energy Data Book, 2003 stock efficiency for centrifugal chillers. This chiller efficiency is multiplied by the reported ton-hours of cooling to produce an estimate of the electricity used. The estimate of the electricity used in chilled water production is then multiplied by the country- specific emissions factors for CO2, CH4 and N2O, as is described in the estimation of electricity emissions above. 18 | P a g e The World Bank Group FY19 GHG Inventory Management Plan SCOPE 3 – OTHER INDIRECT EMISSIONS BUSINESS TRAVEL EMISSIONS – SCOPE 3 Beginning in FY19, the WBG transitioned from using the DEFRA business air travel average emission factors to the UN International Civil Aviation Organization (ICAO) Carbon Emissions Calculator to compute business air travel emissions. The ICAO methodology is considered more accurate because it takes more specific flight data into account and it is not UK-centric. The ICAO methodology applies the best publicly available industry data to account for various parameters such as aircraft type, route specific information, passenger load factor and cargo carried. Updating to factor point-point travel will bring the WBG in line with best practice. Quantifying Emissions from Business Air Travel The ICAO Carbon Emission Calculator requires that the user input the airports of origin and destination for a direct through flight (i.e. a flight which does not have a change of the flight number). This is then compared with the published scheduled flights to obtain the aircraft types used to serve the two airports concerned and the number of departures per aircraft. Each aircraft is then mapped into one of the 312 equivalent aircraft types in order to calculate the fuel consumption for the trip based on the great circle distance between the airports involved in the journey. The passenger load factors, and passenger to cargo ratios, obtained from traffic and operational data collected by ICAO, are then applied to obtain the proportion of total fuel used which can be attributed to the passengers carried. The system then calculates the average fuel consumption for the journey weighted by the frequency of departure of each equivalent aircraft type. This is then divided by the total number of economy class equivalent passengers, giving an average fuel burn per economy class passenger. The result is then multiplied by 3.16 in order to obtain the amount of CO 2 footprint attributed to each passenger travelling between those two airports. Complete methodology here. Calculating CO2 per flight leg: 1. The WBG’s business air travel data is composed of data for all flights that WBG pays for. These are booked and paid for in the AMEX system. The data comes from the AMEX travel reporting system in SAP HANA that the business travel team manages. Data for every flight leg is exported from this system for flights taken during the fiscal year. This data includes a unique trip ID, flight leg ID, “from city”, “to city”, the internal fund center(s) and VPU(s) that paid for the flight. and the percent each VPU paid for the given flight leg. 2. Before this data can be used with the ICAO carbon emissions calculator, an airport code lookup is done by the WBG ITS team against the city and airport code table provided by the ICAO focal point. Using a database table, the ITS team runs a lookup for the “to” and “from” cities from the AMEX data from SAP HANA in the ICAO city and airport code list to retrieve the airport codes. 3. The airport codes are then used “on the fly” while invoking the ICAO carbon emissions calculator API. The airport codes are used by the API to return the distance of each flight leg in km (database field = CO2_API_DIST_KM), the CO2 emissions per flight leg in kgs (CO2_API_EMISSION_KG) and the fuel burned in kgs (CO2_API_FUEL_BURN_KG). 4. In some cases, the ICAO API will return zero for the flight leg distance and CO2 emissions due to missing or insufficient data submitted. WBG labels these cases, “unknown trip” and will attempt to estimate the distance and CO2 emissions. The details of this estimation methodology is detailed below in the section, “Methodology for Estimating Business Air Travel Emissions”. 5. After the “unknown trips” estimation logic is complete, then the flight legs are checked to see if they qualify as business class flights. Any flight legs >=2,500 kms are assumed to be business class and the emissions are multiplied by a factor of 2 (as advised by ICAO during the development of this API integration) and saved in the database field, CO2_EMISSION_KG_CALCULATED. 6. The travel data includes the internal fund center and VPU that paid for the flight. However, some flights are paid for by multiple VPUs. In those cases, a flight leg will be listed more than once, one record for each VPU paying for the flight leg. In order to avoid double-counting these flight legs, the percent that each VPU paid of the flight leg is used to attribute the appropriate distance and CO2 emissions. This cost center and VPU information is important for WBG’s internal dashboard used to communicate the amount of CO2 emissions each VPU is responsible for. 19 | P a g e The World Bank Group FY19 GHG Inventory Management Plan 7. Next, the CO2 emissions in kg are divided by 1,000 to show the emissions in metric tons and saved in the database field, CO2_API_EMISSION_METRIC_TON. 8. The CO2 emissions in metric tons are then multiplied by the factor of 1.9 for radiative forcing (RF) (CO2_API_EMISSION_RADIATIVE_M), allowing the WBG to analyze and aggregate emissions with and without radiative forcing applied. a. In fiscal year 2019, WBG offset scope 3 emissions without RF applied to the business air travel scope 3 emissions. Figure 13. Calculating Emissions from Business Air Travel 1. Export AMEX 2. Use cities 3. ICAO API data from SAP 3. Returns flight 4. Check for “unknown visited to CO 2 Emissions distance and CO 2 flights” in data returned HANA with cities lookup airport Calculator (see emissions per flight from ICAO API and run visited per flight codes in data methodology) leg table leg to data table estimation methodology 5. Business Class, if flight leg distance (km) CO2 emissions (kg) CO2 emissions (kg) with business class >= 2,500 km (CO2_API_EMISSION 2 factor applied (CO2_API_DIST_KM) _KG) (CO2_EMISSION_KG_CALCULATED) 6. Flight leg distance Flight distance (km) and (km) and CO2 % of flight leg CO2 emissions (kg) with % emissions (kg) paid by VPU paid by VPU applied 7. CO2 emissions (kg) with business 1000 CO2 emissions (metric tons) with class factor applied business class applied (CO2_EMISSION_KG_CALCULATED) kg/ ton (CO2_API_EMISSION_METRIC_TON) 8. CO2 emissions (metric tons) with CO2 emissions (metric tons) with business class applied 1.9 business class and RF applied (CO2_API_EMISSIONS_METRIC_TON) (RF) (CO2_API_EMISSION_RADIATIVE_M) Source: WB Staff Methodology for Estimating Business Air Travel Emissions In some cases, the flight data from SAP HANA is insufficient to return data from the ICAO API. These cases are referred to as an “unknown trip”. Below are the cases and the solution for each case. This step is taken after the data is returned from the ICAO API and before any calculations are completed. In FY19, approximately 7% of all flight legs were “unknown trips.” Case 1: Missing CNTRY_VSTD & CITY_VSTD or NEXT_CNTRY_VSTD & NEXT_CITY_VSTD Case 1 Solution: No calculation will apply, so both trip distance and CO2 emission will be 0. Case 2: (CITY_VSTD <> NEXT_CITY_VSTD + there is no direct flight) OR (CITY_VSTD / NEXT_CITY_VSTD is missing (XXX) + CNTRY_VSTD / NEXT_CNTRY_VSTD is available)   20 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Case 2 Solution: We will get average trip distance & CO2 emission from the existing data between two countries (CNTRY_VSTD & NEXT_CNTRY_VSTD).  Case 3: If (CNTRY_VSTD = NEXT_CNTRY_VSTD & CITY_VSTD <> NEXT_CITY_VSTD), but no emission data available in CO2 API Case 3 Solution: We will get square root of country area and find the slab in which the sqrt(area) fits in with the use of existing emission values and populate the data. Case 4: If (CNTRY_VSTD <> NEXT_CNTRY_VSTD & CITY_VSTD <> NEXT_CITY_VSTD). And cannot find the airport pair from ICAO API to retrieve distance and Co2 emission. And no existing average from CNTRY_VSTD to NEXT_CNTRY_VSTD. Case 4 Solution: Distance will be 0, CO2 emission will be 0. C ONTRACTOR-OWNED VEHICLES – SCOPE 3 Emissions from vehicles owned by contractors but used for WBG business make up a small proportion of WBG’s emissions but are included as a voluntary Scope 3 emissions source in the inventory. Emissions are calculated in the same manner as those for Scope 1 mobile emissions, however as the number of vehicles is not usually available and the emissions from vehicle refrigerants is considered de minimus, emissions from vehicle refrigerants are not calculated. DATA MANAGEMENT ACTIVITY DATA AND DATA MANAGEMENT WBG Data Collection The WBG continued to centralize GHG emissions data collection and management in FY19 by using a Web- based inventory management database called UL360 (previously CR360 and Credit360). The online system, accessible to registered data owners via http://worldbank.credit360.com, allows users to input activity data via a simple online survey that collects information on energy use, refrigerant purchases, and vehicle usage. Data is also collected on water usage, waste and recycling. Data for WB and IFC GHG inventories are collected using separate forms within the data management system using the same methodology and aggregated within the same WBG inventory document. A web-based database is used to centralize and manage the data collection and reporting process. Data owners in country offices are typically resource management staff or designated “champions” who work with the appropriate staff to collect the necessary information. A notification is sent to data owners in the first quarter of each fiscal year alerting them that annual Carbon Footprint Survey is available. The system is secure and requires data providers (“Users”) to log in with a username and password. T his method also provides an audit trail, so it is clear which staff member is entering the data. Upon log-in, users are provided links to each office that they have been assigned, and answer questions in the form of an online survey. As previously mentioned, offices with five or fewer employees are provided an option to (a) default to estimated emissions for electricity use and refrigerants, and (b) to exempt the office from reporting on-site fuel and mobile sources. These options are provided assuming the difficulty in obtaining this data, probable inaccuracy, and the insignificant percentage it represents of the WBGs’ overall carbon inventory. In a few cases, offices have more than five employees but do not respond to the survey, either due to lack of staffing, neglect or other reasons. In these cases, the Sustainability Coordinator in charge of the WBG GHG inventory responds to the survey for the office, entering required information on office size, but triggering the 21 | P a g e The World Bank Group FY19 GHG Inventory Management Plan estimates for when no data is entered for electricity and refrigerant use by picking “Exempt -Less than 5 employees” so that the UL360 system is triggered to use the estimates detailed in the sections above. This was required for 27 WB offices and 12 IFC offices in FY19. To collect GHG emissions at WBG facilities in Washington, DC, engineers, building managers, real estate experts, travel management officers, and Human Resources analytics officers identified in the “Management Tools” section are asked to submit their respective data sets for the fiscal year. Data Sources • Office area data for World Bank offices is sourced through the International Real Estate Database and confirmed by data owners in each of the offices possible. For IFC offices, office area is extracted from t he country office real estate database and uploaded into the UL360 system. Any discrepancies may then be identified by data owners in each office. • Scope 1 direct emissions data from on-site fuel use typically comes from fuel-purchase receipts or records maintained by facility managers of owned buildings and from building managers or landlords for leased buildings. • Scope 1 emissions data for mobile sources typically come from fuel-purchase receipts. Where fuel purchase data is not available, typically driver log information on fuel purchases or mileage is used. • Scope 1 emissions data from fugitive refrigerant emissions come from service records from the landlord or facility manager and are submitted to WBG data owners on an as-needed basis. • Scope 2 emissions from electricity usage typically come from landlords for leased buildings and from monthly electric utility bills for owned buildings. • Scope 3 optional emissions data for business travel paid for by the WBG is reported through the WBG’s Travel Office, which uses a travel management contractor, currently American Express. American Express creates itineraries for each traveler’s trip and data is recorded in SAP through a Statement of Expense system. This system also allows for trips to be approved and authorized. This travel data is exported and used to calculate the GHG emissions per flight leg. The full business travel data methodology can be found under the Business Travel Emissions – Scope 3 section above. Headquarters Specific: USA Scope 1 emissions data from fugitive refrigerant emissions come from service records from the facility contractor, Donohoe, submitted to WBG engineers on an as-needed basis. At the WB, the CR team coordinates the assignment of roles and responsibilities for GHG inventory data management, collects relevant data from assigned staff, and then calculates the GHG inventory. At the IFC, the Footprint Program Officer coordinates the assignment of roles and responsibilities for GHG inventory data management, collects the relevant data from assigned staff, and then calculates the GHG inventory. Scope 1 emissions data for all tracked emission sources are given in Table 8. Table 8. Data Origins for Scope 1 Emission Sources Source Data Tracked Data Origin Vendor Source Record Responsibility Boilers and Quantity of fuel Purchasing records Washington Gas GCSCR generators consumed and utility bills CBAFM Air conditioning Quantity of Service records Donohoe GCSCR refrigerant replaced, Brandywine Real CBAFM removed Estate 22 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Mobile combustion Fuel purchased Departmental fuel NA GCSSC, GCSCR, sources logs, purchasing card GCSMS, records CBAFM Source: TK Scope 2 emissions from electricity usage at WBG-owned buildings are assessed through electric utility bills (kWh) consumption records (Table 9). Table 9. Data Origins for Scope 2 Emission Sources Source Data Tracked Data Origin Vendor Source Record Responsibility Electricity Quantity of Utility bill PEPCO GCSCR electricity consumed (kWh) CBAFM Source: TK QUALITY ASSURANCE The WBG staff—the WB CR team and the IFC Footprint Program Officer—annually review the data collection process during the inventory development process to improve accuracy and fill data gaps. To provide a level of quality assurance with the country office activity data, all office surveys are reviewed in detail and clarifying questions are sent to key contacts. When clarifying information is not received, data is taken out of the inventory if it has a large potential for error and will skew inventory results. In these cases, an estimate is made when possible. In the data management system, UL360, this whole process of data entry, returned data, omitted data, and accepted data is captured for auditing purposes. Beginning with the FY11 inventory, automated data validation was used in the data management system. If data entered fell outside of pre-determined upper- and lower-bounds, an explanation was required by the person entering the data with information on the percentage difference compared to the previous year. If no explanation was given, the data survey could not be submitted to the approver. The thresholds for this automated data validation can be found in Appendix I. Additional steps are taken to ensure the highest level of data quality: • To submit a survey, a data owner from a country office must have responded to all required questions. • The WB Environmental Specialist reviews each response of the on-line survey once it has been submitted before it is merged into the main database. This staff member compares responses by looking at two things: 1) comparing the entry to the previous year’s response from the same office facility; 2) scanning for data points that may seem too high or too low for a particular activity data relative to the office size. If any clarifications or questions are required, the Environmental Specialist uses the feedback modules available in UL360 to query data points s/he may have a question about. The query is then sent to the data owner, who must address the query before re-submitting the data to the Environmental Specialist for approval. • Once the majority of data is submitted, the Environmental Specialist does a second level of quality assurance for electricity usage data since this is the second largest source of emissions (second to air travel). The Environmental Specialist exports data from UL360 to calculate kWh usage per square meter 23 | P a g e The World Bank Group FY19 GHG Inventory Management Plan for each office, and checks intensity figures for each office looking for any figures that are well above or below the average range for the region in which the office is located. • If any are found, these data owners are contacted for supporting documentation and clarification. If the supporting documentation is not available or no real data can be found, the electricity consumption for the office is instead estimated based on the regional intensity figure. • The electricity intensity report is then sent to the IFC Footprint Program Manager for further review to ensure all outlier figures have been identified and resolved. DATA GAPS Currently, data gaps exist for all emissions sources. The biggest gaps are for on-site fuel and refrigerant leakage data from developing country offices; however, both of these represent a very small percentage of the overall WBG GHG inventory (estimated less than five percent). Estimations are used to fill refrigerant data gaps, and previous years data, where available, is used to fill on-site fuel use gaps, as explained in this IMP. Data gaps that exist in the business air travel data are documented as “unknown trips” and estimations are used where possible. This is detailed in the Methodology for Estimating Business Air Travel Emissions section within the Business Travel Emissions – Scope 3 section of this document. If a major known data gap is revealed, such as the reporting of a large amount of stationary fuel combustion for one fiscal year in an office but a lack of data in the next, the data gap will be filled by first making every effort possible to determine the activity data, and if this is not available, using the previous year’s data. However, if it is known that there has been a major change in the size of the office, and actual data is not available, the activity data will be estimated as detailed above. Washington, DC specific At the WBG Headquarters in Washington, DC, the following actions are undertaken to prevent errors: • GCSCR and CR will assess the list of WB management–controlled properties to ensure that the inventory includes all leased and owned facilities, as well as to confirm the area where possible. CBAFM and FP will assess the list of IFC management –controlled properties to ensure that the inventory includes all leased and owned facilities, as well as to confirm the area of all existing space. • GCSCR and CR will inventory each WB management –controlled facility for stationary fuel sources, including generators, boilers, and chillers. CBAFM and the FP will inventory each IFC management – controlled facility for stationary fuel sources including generators, boilers, and chillers. • GCSCR and CR will review all WB fuel records for the year to ensure that logs and invoices are consistent with reality. CBAFM and the FP will review all IFC fuel records for the year to ensure that logs and invoices are consistent with reality. • GCSCR and CBAFM will review utility bills provided by the utility company to ensure that the patterns are consistent with use. Upon changes to the bills, GCSCR will notify CR, and CBAFM will notify the FP, to update the inventory. • All “owners” of WBG vehicles will be responsible for their own fuel logs and reporting. This includes GCSCR, GCSSC and GCSMS. DATA SECURITY UL360, previously CR360 and Credit360, is a Web-based data management program based around an industrial strength database that is scalable, fine-grained, and sophisticated. It is designed to run over standard security protocols such as SSL for Web access. Core permissions, such as read and write access, are highly controlled by WB CR and IFC FP and documented. The list of users may be available upon request. Information compiled for the purpose of the WBG GHG inventory will be maintained by WB CR and IFC FP. Both teams have file backup protection standard to the WBG’s data backup system. CORPORATE REPORTING FREQUENCY Facility data will be reported on an annual basis in time for annual inventory reporting, generally by the end of the second quarter of the fiscal year. 24 | P a g e The World Bank Group FY19 GHG Inventory Management Plan BASE Y EAR The WBG completed its first global GHG inventory in FY07. The inventories in FY07 and FY08 were for learning and educational purposes—teaching country offices about carbon inventory data collection and identifying data gaps. The FY09 inventory was the first using a Web-based survey and was also used as a learning experience. The IFC has identified FY08 as their base year for reducing electricity use per workstation in their Washington, DC office. IFC previously set and achieved its headquarters-based electricity reduction target of 20 percent kWh/workforce from fiscal year 2008 to fiscal year 2015. The WB set FY10 as the base year for reducing emissions from managed and owned offices by 10 percent by FY17. This target was met and exceeded, with the WB reducing facility-based absolute GHG emissions by 20 percent between FY10 and FY17. The WBG adopted a new global corporate carbon emissions reduction target in line with climate science - to reduce direct and indirect carbon emissions (scope 1 and 2) from our global facilities by 28 percent by 2026 from a 2016 baseline. In order to achieve this target, IFC has pledged a 20 percent reduction and the World Bank has pledged a 30 percent reduction of facility-related emissions (Scope 1 and 2) over the same period. A range of measures are being considered, including using renewable energy wherever feasible and improving energy efficiency. ADJUSTMENTS TO BASE YEAR EMISSIONS – STRUCTURAL AND METHODOLOGY CHANGES Structural changes include mergers, acquisitions, and divestments and/or outsourcing or in-sourcing of GHG emitting activities. Changes in the status of leased assets also are considered structural changes. Methodology changes include changes in activity data accuracy, changes in emission factors, changes in electricity intensity or air travel intensity figures, and/or changes to the methodology used to calculate GHG emissions. Discovery of significant errors in base year emissions calculations may necessitate a change in the base year emissions inventory. Significant structural or methodology changes in future years may necessitate an adjustment to the base year emissions to ensure that data are consistent and historically relevant. A “Significance Threshold” requiring a change in the base year emissions would be a one percent change in the total corporate-wide GHG emission inventory over or under the previous calculation (if no change were made). Changes Due to New Emission Factors If there is a change to published emission factor(s), the emission factors will be changed for each of the previous years as well as the current year, provided they meet the one percent Significance Threshold. By changing the emission factors for each of the previous reporting years, the emission calculations remain historically consistent and relevant since the same factors are used throughout. Changes Due to Errors Arithmetic and data entry mistakes can occur while recording and reporting emissions data. If errors are identified during subsequent year inventory reporting that trigger the Significance Threshold, corrections to the previous inventories will be made. Changes Due to Data Accuracy and Availability If new data are available on source emissions that were not previously available or if new methodologies result in obtaining more accurate data on source emissions, an adjustment to previous year may be required. In such cases the Significance Threshold will be evaluated to determine if adjustments to the past years’ inventories are warranted. 25 | P a g e The World Bank Group FY19 GHG Inventory Management Plan MANAGEMENT TOOLS ROLES AND RESPONSIBILITIES Each WBG office is encouraged to have a chart to track roles and responsibilities (Table 10). This IMP contains detailed roles and responsibilities for Washington, DC. For contacts for our global offices, please contact the WBG. Table 10. Roles and Responsibilities for Data Reporting Emission Source Location Department Responsible Persons Responsible John Moren, Project Manager, GCSCR Electricity, Rafa Abdalla, Customer Service Representative, boilers, Owned WB buildings GCSCR GCSFM generators, refrigeration Lead Engineer, Donohoe Facilities Services Records are maintained in the following fashion: All utility records from electricity and natural gas consumption from owned buildings are kept in two forms: paper and electronic (in the WB’s accounting system, SAP). The paper form is filed twice within GCS. The process for electricity bills and for natural gas and diesel purchases for boilers and generators is as follows: Invoice generated Invoice scanned Original Duplicate paper and sent to the and filed in SAP invoice filed invoice filed with World Bank with GCS accounting Data tracked in All Building Metrics1.xlsx Diesel purchases for generators are recorded by the generator servicing company, Griffiths, as well as the engineer of the building containing the generator that was refilled. Griffiths sends a paper invoice that is filed with GCSCR as a hard copy. The hard copy of the bill is maintained by the WB. Refrigerant replacement and replenishment is recorded by the servicing company, Donohoe. Donohoe will submit an electronic report to the WB Contract Manager of each service instance with the quantity of refrigerant replaced or replenished. A hard copy of the report will be maintained by Donohoe in their WB office. The engineer for the building containing the chiller that was serviced will also maintain a copy of the file. The WB will maintain these records for three years as required by the EPA. 26 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Emission Source Location Department Responsible Persons Responsible Alfonso Magsalin, Assistant Electricity, Project Manager, GCSCR boilers, Rafa Abdalla, Customer Leased WB buildings GCSCR Service Representative, generators, refrigeration GCSFM For leased buildings, records are maintained in the following fashion: The WB, as a leased building tenant, does not have direct access to utility bills from our leased buildings. Landlords are contacted on an as needed basis (at least annually for purposes of the carbon inventory) to seek the information. In line with standard industry practice, the utility data is provided to the World Bank on a prorated scale by square footage. This information is received by e-mail and retained indefinitely. In the absence of concrete data, estimations are made based on intensity rates (kWh/ft 2). Electricity, boilers, Christine Jones, Brandywine Owned IFC buildings CBAFM generators, Realty Trust refrigeration Records are maintained in the following fashion: All utility records from electricity and natural gas consumption from the IFC F building are kept in two forms: paper and electronic. The paper form is filed in the office of the IFC Chief Engineer, part of the Facilities Management team. The paper form is scanned, and electronic copies are stored in the shared network drive, and in the accounting software system, Avid, managed by Brandywine —IFC’s facilities management servicing company. On a monthly basis, the data is manually entered into spreadsheets organized by utility type ( stored on IFC’s shared network drive) and then imported into one footprint summary spreadsheet (also stored on IFC’s shared network drive). All these records are kept indefinitely. Refrigerant replacement and replenishment is recorded by the servicing company, Brandywine. Brandywine will submit an electronic report to the IFC Facilities Management team with the quantity of refrigerant replaced or replenished. A hard copy of the report will be maintained by Brandywine. The engineer for the building containing the chiller that was serviced will also maintain a copy of the file. Cesar Banzon, Senior Customer Service Representative, GCSSC GCSCS Ngozi Kalu-Mba, Executive Mobile combustion Owned WB vehicles GCSMS Assistant, GCSSC sources Felipe Jr. Figueroa Cardenas, Customer Service Representative, GCSSC Fuel usage records are maintained in the following fashion: 27 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Emission Source Location Department Responsible Persons Responsible Fuel usage for vehicles is maintained and reported by individual units. For the majority of vehicles, which are owned by Security, the fuel usage is tracked as follows: Driver fills up Driver gives receipt (which lists number of Driver notes mileage vehicle with p-card gallons and mileage) to the Customer Service down on receipt Representative. GCS Resource Manager authorizes The Representative retains the p-card payment and maintains records for three statement and receipts to fill in years spreadsheet Xinying Grace Ye, ITS; Travel booked through Business travel GCSTV and ITS Touhid Mohammad Hanif, American Express GCSTV Business Travel records are maintained in the following fashion: This data is pulled from the AMEX travel reporting system in SAP HANA that the business travel team manages and then ITS follows the methodology detailed in the Business Travel Emissions – Scope 3 section. Source: TK TRAINING The purpose of the WBG’s training procedure is to ensure that training that pertains to the World Bank’s CR Program, IFC’s Footprint Program, and to the GHG inventory is maintained. Each WBG office will outline their training procedure and update the IMP as necessary. Headquarters Specific: USA At the WBG Headquarters in Washington, DC the task of maintaining the inventory is limited to the WB’s CR and GCSCR and IFC FP; thus, currently, training will be targeted to the specific needs of individual CR and IFC FP staff and may entail the following: ▪ Attending relevant conferences ▪ Reviewing GHG Protocol guidance annually ▪ Attending various trainings with outside groups, such as the GHG Institute e-learning, U.S. Green Building Council, the EPA, and U.S. Department of Energy Country Offices For country office staff responsible for reporting emissions data through UL360, resources such as video tutorials, templates for sending data requests to landlords, and other material have been created and are stored on the WBG intranet for use. DOCUMENT RETENTION AND CONTROL POLICY Washington, DC specific See “Roles and Responsibilities” section for Washington, DC offices process. 28 | P a g e The World Bank Group FY19 GHG Inventory Management Plan AUDITING AND VERIFICATION INTERNAL AUDITING The WBG will conduct a desktop review of the corporate GHG inventory each year. Based on this review, any office triggering a Significance Threshold will in turn trigger the need for an internal verification review of that site. EXTERNAL AUDITING The WBG will periodically hire a third-party, outside reviewer of the IMP and the corporate GHG inventory. Should an external audit be warranted, the WBG will contract a third-party audit. ERT-Winrock conducted a verification of the WBG FY07 inventory and IMP in FY08, while WSP Environment and Energy reviewed the FY09 Inventory and IMP in FY10, the FY11 Inventory and FY12 IMP, the FY13 inventory and IMP, and the FY16 Inventory and IMP. The most recent assurance statement is available online at http://www.worldbank.org/corporateresponsibility IFC annually conducts an independent third-party audit of its GHG inventory and relevant FY data as part of IFC’s Annual Report audit. MANAGEMENT REVIEW Annually, upon completion of the GHG inventory, the GHG inventory results will be presented to the Director of Global Corporate Solutions (GCS) and the Director of Environment, Natural Resources and Blue Economy Global Practice (ENB) for review. CORRECTIVE ACTION Corrective actions will be implemented at the direction of the WB CR and IFC FP in response to a desktop review and/or an internal or external audit identifying a Significance Threshold criteria item or other significant structural or methodological issue that warrants corrective action. Such corrective actions will be documented by changes to the IMP and/or the GHG Inventories. Changes to document, inventories, plans, and so forth are subject to the IMP Document Retention and Control Policy. 29 | P a g e The World Bank Group FY19 GHG Inventory Management Plan APPENDIX A: STATIONARY EMISSION FACTORS Stationary Emissions Factors CO2 CH4 N2O Fuel Type CO2eq Unit Heat Content (kg/MMBtu) (kg/MMBtu) (kg/MMBtu) kg CO2eq/ 52.9515 0.005275 0.0001055 53.1148 MMBtu kg CO2eq/ 5.31148 therm Btu/ft 3 Natural Gas 988 HHV 1.88953 kg CO2eq/m3 2.70 kg CO2eq/kg kg CO2eq/ 78.1755 0.01055 0.00063 78.59 MMBtu Gas/Diesel MMBtu/gal 2.6991 kg CO2eq/l 0.136 Oil HHV kg 10.217 CO2eq/gal Residual Fuel kg CO2eq/ MMBtu/gal Oil (#5 & 6) 81.657 0.01055 0.00063 81.657 MMBtu 0.143 HHV kg CO2eq/ 73.1115 0.01055 0.00063 73.529 MMBtu Motor MMBtu/gal Gasoline 0.124 HHV 2.3272 kg CO2eq/l kg CO2eq/ 66.57 0.005275 0.0001055 66.98828 MMBtu MMBtu/gal LPG/Propane 0.084 HHV 1.49979 kg CO2eq/ l kg CO2eq/ 75.8545 0.01055 0.00063 76.27228 MMBtu MMBtu/gal Kerosene 0.132 HHV 2.46482 kg CO2eq/l Source: WRI. Calculation Tool for Direct Emissions from Stationary Combustion. Calculation worksheets. December 2007. Version 3.1 30 | P a g e The World Bank Group FY19 GHG Inventory Management Plan APPENDIX B: R EFRIGERANT EMISSIONS Global Warming Potentials GHG GWP Source Type CO2 1 CH4 25 Intergovernmental Panel on Climate Change, Fourth Assessment Report N2O 298 http://www.ipcc.ch/publications_and_data/publications_and_data_reports.shtml SF6 22,800 PFC Type GWP Source PFC-14 6,500 PFC-116 9,200 Calculating HFC and PFC Emissions from the Manufacturing, Servicing, and/or PFC-218 7,000 Disposal of Refrigeration and Air-Conditioning Equipment. Calculation Worksheets. Version 1.0. GWPs draw from Intergovernmental Panel on Climate Change, Fourth PFC-3-1-10 7,000 Assessment Report http://www.ipcc.ch/publications_and_data/publications_and_data_reports.shtml PFC-c318 8,700 PFC-4-1-12 7,500 PFC-5-1-14 7,400 31 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Refrigerants HCFC Type GWP Source R-11 4,750 Only used to measure supplemental emissions GWPs drawn from Intergovernmental Panel on Climate Change, Fourth Assessment R-22 1,810 Report http://www.ipcc.ch/publications_and_data/publications_and_data_reports.shtml HFC Type GWP Source R-23 14,800 R-32 675 R-41 116 R-123 77 R-125 3,500 R-134 1,120 R-134a 1,430 R-143 328 Calculating HFC and PFC Emissions from the Manufacturing, Servicing, and/or R-143a 4,470 Disposal of Refrigeration and Air-Conditioning Equipment. Calculation Worksheets. Version 1.0. GWPs draw from Intergovernmental Panel on Climate Change, Fourth R-152a 124 Assessment Report http://www.ipcc.ch/publications_and_data/publications_and_data_reports.shtml R-227ea 3,220 R-236fa 9,810 R-245ca 1,030 R-R407c 2,107 HFC-4310mee 1,640 R-404a 3,922 R-410a 2,088 R-227ea 3,220 32 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Vehicle Refrigerant Charge Factors Vehicle Type Charge Source Factor (kg) Passenger Car 0.8 Light Truck 1.2 EPA Refrigerant Guidance, 2004, Table 2 Aircraft 6.4 Cooling Factor Region Ft 2 per cooling ton Source USA 500 Cooling intensity for region per Dan Sobrinski, WSP Energy and Environment 33 | P a g e The World Bank Group FY19 GHG Inventory Management Plan APPENDIX C: MOBILE FUEL EMISSION FACTORS CO2-equivalent Emission Factors Fuel type CO2 Units Source Gasoline 0.002327152 tCO2eq/l WRI. CO2 Emissions from Business Travel. Version 2.0. Gasoline 0.008809225 tCO2eq/gal http://www.eia.doe.gov/oiaf/1605/techassist.html Diesel 0.002699055 tCO2eq/l Diesel 0.010217028 tCO2eq/gal LPG 0.001499790 tCO2eq/l LPG 0.005677320 tCO2eq/gal N2O, CH4 Emission Factors – Used for Country Offices CH4 N2O CH4 N2O Fuel Type Vehicle Type kg/gal kg/gal kg/l kg/l 0.0003307 0.0001777 Passenger Car - Gasoline - Year Gasoline 5 5 0.00008737 0.0000469 2005-present 2.90621E- Passenger Car - Diesel - Year Diesel 0.000011 0.000022 06 5.81242E-06 1983-present LPG 0.0005994 0.0010854 0.000158 0.000286 Light Goods Vehicle – LPG Source: GHG Protocol Stationary and Mobile Emission Factors, Table 7 Note: N2O, CH4 were calculated using average vehicle fuel economy. WB/IFC only has volume (gallons or liters) of fuel consumption and the CH4 and N 2O factors are per distance (mi or km) traveled. As a result, a corporate average fuel economy was assumed to be 22 mpg. Within-city emission factors used for calculating travel for major meetings Mode of Transport kgC02/ gCO2/ gCH4/ gN2O/ gCO2-e /passenger mile passenger- passenger- passenger- passenger- mile mile mile mile Car 0.3738261 373.83 0.0147 0.0079 376.5838 Light-duty Truck 0.519 519.00 0.036 0.047 534.326 Motorcycle 0.167 167.00 0.07 0.007 170.64 34 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Bus 0.107 107.00 0.0006 0.0005 107.1676 Intercity Rail 0.185 185.00 0.002 0.001 185.352 Commuter Rail 0.172 172.00 0.002 0.001 172.352 Transit Rail (Trams and Subways) 0.163 163.00 0.004 0.002 163.704 N2O, CH4 Emission Factors – Used in U.S. Only Vehicle Type Fuel Type N2O CH4 Passenger Cars g/mi g/mi 1984– 1993 0.0647 0.0704 1994 0.056 0.0531 1995 0.0473 0.058 1996 0.0426 0.0272 1997 0.0422 0.0268 1998 0.0393 0.0249 Gasoline 1999 0.0337 0.0216 2000 0.0273 0.0178 2001 0.0158 0.011 2002 0.0153 0.0107 2003 0.0135 0.0114 2004 0.0083 0.0145 2005 0.0079 0.0147 Vans, Pickups, SUVs g/mi g/mi 1987– 1993 0.1035 0.0813 1994 0.0982 0.0646 Gasoline 1995 0.0908 0.0517 1996 0.0871 0.0452 1997 0.0871 0.0452 35 | P a g e The World Bank Group FY19 GHG Inventory Management Plan N2O, CH4 Emission Factors – Used in U.S. Only Vehicle Type Fuel Type N2O CH4 1998 0.0728 0.0391 1999 0.0564 0.0321 2000 0.0621 0.0346 2001 0.0164 0.0151 2002 0.0228 0.0178 2003 0.0114 0.0155 2004 0.0132 0.0152 2005 0.0101 0.0157 Heavy-duty Vehicles g/mi g/mi 1985– 1986 0.0515 0.409 1987 0.0849 0.3675 1988– 1989 0.0933 0.3492 1990– 1995 0.1142 0.3246 1996 0.168 0.1278 1997 0.1726 0.0924 1998 Gasoline 0.1693 0.0641 1999 0.1435 0.0578 2000 0.1092 0.0493 2001 0.1235 0.0528 2002 0.1307 0.0546 2003 0.124 0.0533 2004 0.0285 0.0341 2005 0.0177 0.0326 Other Non-highway g/gal g/gal Small Utility Gasoline 0.22 0.5 36 | P a g e The World Bank Group FY19 GHG Inventory Management Plan N2O, CH4 Emission Factors – Used in U.S. Only Vehicle Type Fuel Type N2O CH4 Large Utility Diesel 0.26 0.58 Passenger Cars g/mi g/mi 1960– 1982 0.0012 0.0006 1983– 1995 0.001 0.0005 1996– 2004 0.001 0.0005 Light Trucks g/mi g/mi 1960– 1982 0.0017 0.0011 Diesel 1983– 1995 0.0014 0.0009 1996– 2004 0.0015 0.001 Heavy-duty Vehicles g/mi g/mi 1960– 1982 0.0048 0.0051 1983– 1995 0.0048 0.0051 1996– 2004 0.0048 0.0051 Source: EPA Climate Leaders. "Direct Emissions From Mobile Combustion Sources.” May 2008 37 | P a g e The World Bank Group FY19 GHG Inventory Management Plan APPENDIX D: PURCHASED ELECTRICITY EMISSIONS FACTORS CO2 Emission Factors from Year 2011 factors from table "CO2 Emissions from CO2 emissions per kWh from electricity generation", page 110, an excerpt from the IEA document "CO 2 Emissions from Fuel Combustion - Highlights (2013 Edition)", IEA, Paris. See http://www.iea.org/co2highlights/. CH4/N2O: International Electricity Emission Factors by Country, 1999-2002.xls. International Energy Agency, as cited by EIA for 1605b. http://www.eia.doe.gov/oiaf/1605/emission_factors.html lb CO2 / lb CH4 / lb N 2O/ Source Notes Region MWh MWh MWh Albania 15 0.006 0.001 Algeria 1,226 0.033 0.004 Angola 860 0.030 0.006 Argentina 860 0.013 0.002 Armenia 271 0.021 0.002 Australia: 'Latest http://www.environ Estimate' factors ment.gov.au/climat from Source: e-change/climate- National science Greenhouse Gas Accounts (NGA) Factors, August, 2019. "Table 44: Scope 2 and 3 emissions factors - consumption of purchased electricity by end users--EF for Scope 2 (column A)" - New Australia - New South Wales 1785.744 0.022 0.028 South Wales Austria 474 0.008 0.005 Azerbaijan 1,003 0.087 0.016 Bangladesh 1,243 0.052 0.006 Belarus 972 0.054 0.007 Belgium 432 0.009 0.006 Benin 1,592 0.022 0.021 Bolivia 955 0.016 0.003 Bosnia-Herzegovina 2,147 0.024 0.034 Botswana 3,940 0.022 0.021 38 | P a g e The World Bank Group FY19 GHG Inventory Management Plan CO2 Emission Factors for uses that need Brazil’s National Interconnected System’s average emission factor, such as corporate inventories - Arquivos dos Fatores de Emissão: http://www.mctic.g ov.br/mctic/openc ms/ciencia/SEPED/ clima/textogeral/ emissao_corporati vos.html (Year 2018 Annual Brazil 163.1421 0.006 0.002 Average Factor) Bulgaria 1,303 0.024 0.030 Cambodia 1,748 0.049 0.015 Cameroon 441 0.002 0.000 China 1,684 0.032 0.041 Colombia 238 0.006 0.004 Côte d'Ivoire 963 0.022 0.002 Croatia 736 0.029 0.029 Democratic Republic of Congo 7 0.000 0.000 Dominican Republic 1,638 0.098 0.023 Ecuador 761 0.034 0.007 Egypt 1,008 0.030 0.004 El Salvador 536 0.039 0.008 Eritrea 1,872 0.085 0.017 Ethiopia 15 0.001 0.000 France 134 0.003 0.002 Gabon 833 0.022 0.004 Georgia 225 0.009 0.001 Germany 1,052 0.014 0.017 Ghana 474 0.015 0.003 Guatemala 631 0.046 0.013 Haiti 842 0.075 0.015 Honduras 818 0.037 0.007 India 1,887 0.037 0.043 Indonesia 1,664 0.045 0.019 Iran 1,274 0.041 0.006 Iraq 1,991 0.084 0.017 Italy 886 0.039 0.011 Jamaica 1,367 0.082 0.016 Japan 1,096 0.019 0.010 Jordan 1,404 0.084 0.017 Kazakhstan 950 0.042 0.047 39 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Kenya 648 0.030 0.006 Kosovo 2,445 0.015 0.011 Kuwait 1,735 0.073 0.014 Kyrgyz Republic 99 0.005 0.004 Lebanon 1,559 0.088 0.018 Macedonia 1,788 0.040 0.054 http://noonumeem u.blogspot.com/2 012/06/grid- emission-factors-gef Maldives 1,587 0.037 0.043 -in-maldives.html Mexico 992 0.037 0.005 Moldova 1,071 0.029 0.029 Mongolia 1,845 0.049 0.015 Montenegro 1,440 0.028 0.040 Morocco 1,607 0.041 0.032 Mozambique 2 0.022 0.021 Nepal 2 0.002 0.000 Nicaragua 1,038 0.093 0.019 Nigeria 955 0.032 0.004 Pakistan 902 0.070 0.012 Panama 787 0.036 0.007 Paraguay 0 0.000 0.000 Peru 655 0.012 0.003 Philippines 1,085 0.034 0.017 Poland 1,720 0.024 0.034 Republic of Congo 507 0.022 0.021 Republic of Korea 1202 0.008 0.007 Romania 1,100 0.032 0.025 Russian Federation 963 0.030 0.015 Rwanda 1,162 0.021 0.016 Saudi Arabia 1,662 0.059 0.011 Senegal 1,519 0.084 0.017 Serbia-Montenegro 1,728 0.028 0.040 Singapore 1,102 0.088 0.016 Slovak Republic 441 0.008 0.007 South Africa 1,916 0.024 0.036 Sri Lanka 1,034 0.060 0.012 Sudan 450 0.043 0.009 Switzerland 66 0.001 0.000 Tajikistan 26 0.001 0.000 Tanzania 635 0.006 0.002 Thailand 1,151 0.043 0.011 Togo 454 0.022 0.021 Trinidad and Tobago 1,116 0.018 0.002 Tunisia 1,003 0.035 0.004 Turkey 1,041 0.025 0.014 Turkmenistan 2,167 0.043 0.004 Uganda 635 0.006 0.002 40 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Ukraine 992 0.023 0.022 United Arab Emirates 1,323 0.027 0.003 UK: 2019 Guidelines https://www.gov.uk/ to Defra / DECC's government/publi GHG Conversion cations/greenhouse- Factors for gas-reporting-conv Company Reporting ersion-factors-2017 v1.2. For Electricity Generated PLUS Condensed set (for Transmission and most users) Distribution (CO2e United Kingdom 611.3418 0.000 0.000 only) United States - New York 635.8 0.022 0.003 eGRID2016 Subregion NYCW United States - District of Subregion Total Subregion RFCE Columbia 758.2 0.050 0.009 Output Emission United States - Maryland 758.2 0.050 0.009 Rates (Released Subregion RFCE United States - Pennsylvania 758.2 0.050 0.009 2/15/2018) Subregion RFCE United States - Virginia 805.3 0.067 0.011 Subregion SRVC Uruguay 434 0.006 0.001 Uzbekistan 1,232 0.044 0.008 Venezuela 516 0.014 0.002 Vietnam 946 0.029 0.009 Yemen 1,396 0.114 0.023 Zambia 7 0.000 0.000 Zimbabwe 789 0.022 0.021 Afghanistan 1,486 0.030 0.023 CO2 Emission Middle East Average Bhutan 694 0.012 0.009 Factors from Year Other Asia Burkina Faso 1,162 0.021 0.016 2011 factors from Other Africa Burundi 1,162 0.021 0.016 table "CO2 Other Africa Central African Republic 1,162 0.021 0.016 Emissions from CO2 Other Africa emissions per kWh Other Africa Chad 1,162 0.021 0.016 from electricity Other Africa generation", page 110, an excerpt from the IEA document "CO2 Emissions from Fuel Combustion - Gambia, The 1,162 0.021 0.016 Highlights (2013 Guinea 1,162 0.021 0.016 Edition)", IEA, Paris. Other Africa Guinea-Bissau 1,162 0.021 0.016 See Other Africa http://www.iea.org/ Other non-OECD Guyana 626 0.011 0.008 co2highlights/. Americas Kiribati 694 0.012 0.009 Category used in Other Asia Lao P.D.R. 694 0.012 0.009 table found in Other Asia Lesotho 1,162 0.021 0.016 column to the right. Other Africa N2O and CH4 Liberia 1,162 0.021 0.016 Other Africa factors calculated Madagascar 1,162 0.021 0.016 by taking US Other Africa Malawi 1,162 0.021 0.016 Average from Other Africa Mali 1,162 0.021 0.016 Egrid2012 V 1.0, Other Africa Mauritania 1,162 0.021 0.016 Other Africa 41 | P a g e The World Bank Group FY19 GHG Inventory Management Plan May 2012 ratio of Other Africa CH4 and N2O emission factor to CO2 (See cells A30:C32), then multiplying ratios by CO2 emission factor Mauritius 1,162 0.021 0.016 for each respective GHG. Niger 1,162 0.021 0.016 Other Africa Papua New Guinea 694 0.045 0.019 Other Asia Samoa 694 0.012 0.009 Other Asia Sierra Leone 1,162 0.021 0.016 Other Africa Solomon Islands 694 0.012 0.009 Other Asia South Sudan 450 0.043 0.009 Sudan Timor Leste 694 0.012 0.009 Other Asia Vanuatu 694 0.012 0.009 Other Asia Fiji 694 0.012 0.009 Other Asia West Bank and Gaza 1,603 0.030 0.023 Israel APPENDIX E: AIR TRAVEL EMISSIONS FACTORS – METHODOLOGY PRIOR TO FY19 Air Travel Emission Factors – used through FY18 kgCO2eq / passenger-mile Source Trip Type Flight Length† Short <300 miles 0.253906 Source: 2018 Guidelines to Defra / DECC's GHG Haul Conversion Factors for Company Reporting. Medium https://www.gov.uk/government/publications/greenho Haul 300– 2,300 miles 0.138146 use-gas-reporting-conversion-factors-2018 Long Haul >2,300 miles 0.180842 Unknown Total kg of emissions from known distance flights N/A 0.171823 Distance divided by total passenger-miles from known flights †Flight length determined from U K Defra “Guidelines to Defra/DECC’s GHG Conversion Factors for Company Reporting” Updated June, 2010. See Annex 6 “Passenger Transport Conversion Tables”, footnote 14 . https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2018 42 | P a g e The World Bank Group FY19 GHG Inventory Management Plan APPENDIX F: WORLD BANK GROUP FY 19 MASTER L OCATION L IST IFC CLA (Latin Argentina Buenos Aires Edificio Bouchard Plaza, Bouchard 557, 11th. America & the Floor Caribbean) IFC CLA (Latin Bolivia La Paz Fernando Guachalla, No. 342, Piso 8, Edificio America & the Victor Caribbean) IFC CLA (Latin Brazil Rio De Janeiro Rua Redentor, 14, Ipanema America & the Caribbean) IFC CLA (Latin Brazil Sao Paulo Edificio Torre Sul, Rua James Joule No. 65 - America & the 17th, 18th and 19th floors - Cidade Monções - Caribbean) IFC CLA (Latin Colombia Bogota Cra. 7 No. 71-21 Torre A Piso 14 America & the Caribbean) IFC CLA (Latin Dominican Santo Ave. Lope de Vega #29, Torre Novocentro, America & the Republic Domingo 10th Floor, Ensanche Naco Caribbean) IFC CLA (Latin El Salvador San Salvador Edificio Torre Futura 90 nivel, Locales 904- America & the 905, Calle El Mirador y 87 Avenida Norte, Caribbean) Col. Escalon IFC CLA (Latin Guatemala Guatemala 13 Calle 3-40 zona 10 Edificio Atlantis Niv. America & the City 14 Caribbean) IFC CLA (Latin Haiti Port-au-Prince 7, Rue Ogé, Pétion-Ville America & the Caribbean) IFC CLA (Latin Honduras Tegucigalpa Col. Lomas del Guijarro Sur, Edificio America & the Corporativo 777 Caribbean) IFC CLA (Latin Jamaica Kingston Courtleigh Corporate Centre, 6 St. Lucia America & the Avenue, 3rd Floor Caribbean) 43 | P a g e The World Bank Group FY19 GHG Inventory Management Plan IFC CLA (Latin Mexico Mexico City Paseo de La reforma 483, Cuahautemoc, 18th America & the floor, Mexico City, DF 06500 Caribbean) IFC CLA (Latin Nicaragua Managua Plaza Santo Domingo, Km. 6.5 Carretera a America & the Masaya Edificio COBIRSA 2, 5to Piso Caribbean) IFC CLA (Latin Panama City Panama N° 2105, NIVEL 2100, Building PH Ocean America & the Business Plaza, Calle Aquilino de la Guardia Caribbean) and Calle 47, Urbanización Marbella IFC CLA (Latin Peru Lima Av. Miguel Dasso 104 - Piso 5, San Isidro America & the Caribbean) IFC CAF (Sub- Burkina Faso Ouagadougou 179 Avenue of President, Saye Zerbo, Saharan Koulouba Africa) IFC CAF (Sub- Cameroon Douala 96 Rue Flatters, Suite 305 Saharan Africa) IFC CAF (Sub- Chad N'Djamena Intersection de la rue Hamit Hangata & Saharan Avenue Idriss Miskine, Quarter Biguinage Africa) IFC CAF (Sub- Côte d'Ivoire Abidjan Immeuble Banque Mondiale, Cocody, Angle Saharan des rues Jacques Aka et Booker Washington, Africa) 01 BP 1850 Abidjan01 IFC CAF (Sub- Democratic Kinshasa 49 Tshatshi Boulevard Saharan Republic of Africa) Congo IFC CAF (Sub- Ethiopia Addis Ababa Addis Ababa, Africa Avenue, Bole Road PO Saharan Box 5515 Africa) IFC CAF (Sub- Ghana Accra No. 3, Independence Avenue, Accra Saharan Africa) IFC CAF (Sub- Guinea Conakry Immueble de L'Archeveche, Face Baie des Saharan Anges Africa) IFC CAF (Sub- Kenya Nairobi Delta Center, Menengai Road, Upper Hill, PO Saharan Box 30557-0010 Africa) IFC CAF (Sub- Liberia Monrovia German Embassy Compound, Congo Town Saharan Africa) 44 | P a g e The World Bank Group FY19 GHG Inventory Management Plan IFC CAF (Sub- Madagascar Antananarivo Anosy, Rue Andriamifidy L. Razafimanantsoa Saharan Africa) IFC CAF (Sub- Mali Bamako Immeauble Waly Diawara, Avenue du Mali Saharan Africa) IFC CAF (Sub- Mozambique Maputo Jose Craveirinha Street # 160, Caixa Postal Saharan 4053 Africa) IFC CAF (Sub- Nigeria Lagos Maersk House, Plot 121, Louis Solomon Close, Saharan Victoria Island Africa) IFC CAF (Sub- Rwanda Kigali Immeuble Soras, Boulevard de la Revolution, Saharan Parcelle no 4522 Africa) IFC CAF (Sub- Senegal Dakar Bureau regional IFC Dakar Rue Aimé Césaire x Saharan Impasse FN 18 prolongee Fann Residence Africa) IFC CAF (Sub- Sierra Leone Freetown 17 Spur Road, Freetown Saharan Africa) IFC CAF (Sub- South Africa Johannesburg No. 14 Fricker Road, Illovo Boulevard, Illovo, Saharan 2196 Africa) IFC CAF (Sub- South Africa Johannesburg No. 4 Fricker Road, Illovo Boulevard, Illovo, Saharan 2196 Africa) IFC CAF (Sub- South Sudan Juba The World Bank Office, Government's Ministry Saharan Complex, Kololo Road Africa) IFC CAF (Sub- Tanzania Dar-es- 50 Mirambo Street Saharan Saleem Africa) IFC CAF (Sub- Uganda Kampala 1 Lumumba Ave, & 4, Nakasero Rd Saharan Africa) IFC CAF (Sub- Zambia Lusaka Pyramid Plaza Building, Plot 746 Church Road, Saharan 2nd Floor Africa) IFC CEA (East Asia Australia Sydney Level 18, CML Building, 14 Martin Place & the Pacific) 45 | P a g e The World Bank Group FY19 GHG Inventory Management Plan IFC CEA (East Asia Cambodia Phnom Penh Exchange Square (11th Floor), No. 19 & 20, & the Pacific) Street 106 IFC CEA (East Asia China Beijing 1501, China World Tower 2, No. 1, Jian Guo & the Pacific) Men Wai Ave. IFC CEA (East Asia China Hong Kong 14-F, One Pacific Place, 88 Queensway, & the Pacific) Admiralty IFC CEA (East Asia Fiji Suva Level 4, Ra Marama Building, 91 Gordon & the Pacific) Street IFC CEA (East Asia Indonesia Jakarta Jakarta Stock Exchange Building Tower 2, 9th & the Pacific) floor Jl. Jend. Sudirman Kav 52-53 IFC CEA (East Asia Korea Seoul 38 Jongno, Seoul Global Center & the Pacific) IFC CEA (East Asia Lao P.D.R. Vientiane Xieng Ngeum Village, Chao Fa Ngum Road & the Pacific) IFC CEA (East Asia Mongolia Ulaanbaatar MCS Plaza Building, 4th floor, Seoul Street & the Pacific) IFC CEA (East Asia Myanmar Yangon 57 Pyay Road, Hlaing Township & the Pacific) IFC CEA (East Asia Papua New Port Moresby Level 13, Deloitte Tower, Douglas Street & the Pacific) Guinea IFC CEA (East Asia Philippines Manila 2301 & 2201 One Global Place, 5th Avenue - & the Pacific) Corner 25th Street, Bonifacio Global City IFC CEA (East Asia Singapore Singapore 10 Marina boulevard & the Pacific) Marina Bay Financial Center, Tower 2 #34 - 02, Postcode 018389 IFC CEA (East Asia Solomon Honiara Mud Alley - Heritage Park Commercial & the Pacific) Islands Building, Mendana Avenue, PO Box 1744 IFC CEA (East Asia Thailand Bangkok 28th and 30th Floor, Siam Tower, 989 Rama 1 & the Pacific) Road, Pathumwan IFC CEA (East Asia Timor Leste Dili Rua Dos Direitos Humanos, Lecidere & the Pacific) IFC CEA (East Asia Vanuatu Port Vila IFC Vanuatu Office, Level 4, Reserve Bank of & the Pacific) Vanuatu Building, C/O Asian Development Bank, PO Box 3221 IFC CEA (East Asia Vietnam Hanoi 3rd Floor, 63 Ly Thai To Street & the Pacific) IFC CEA (East Asia Vietnam Ho Chi Minh Mekong Project Development Facility (MPDF) & the Pacific) City Unit 3B, 3rd Floor, Regency Chancellor Court, 21-23 Nguyen Thi Minh Khai Street, District 1 46 | P a g e The World Bank Group FY19 GHG Inventory Management Plan IFC CEU (Central & Albania Tirana Advisory Services (PSD), Deshmoret e 4 Eastern Europe) Shkurtit, Sky Tower 8-1 IFC CEU (Central & Albania Tirana Deshmoret e 4 Shkurit, No. 34 Eastern Europe) IFC CEU (Central & Armenia Yerevan 9, G. Louisavorich Street Eastern Europe) IFC CEU (Central & Austria Vienna IFC CO - Investment Climate Dept, Galaxy 21, Eastern Europe) Praterstrasse 31- Floors 18th, 9th and 2nd, A- 1020 IFC CEU (Central & Azerbaijan Baku 90A Nizami street, The Landmark III Business Eastern Europe) Center, 3rd Floor IFC CEU (Central & Belarus Minsk 6 Rumyantsev Street Eastern Europe) IFC CEU (Central & Bosnia- Sarajevo IFC, Zmaja od Bosne bb (RBBH-Building B/III) Eastern Europe) Herzegovina IFC CEU (Central & Bulgaria Sofia World Trade Center 36, 36 Dragan Tsankov Eastern Europe) Blvd. IFC CEU (Central & Croatia Zagreb Radnicka cesta, 9th Floor, HR-100000 Eastern Europe) IFC CEU (Central & Georgia Tbilisi 5B, Nino Ramishvili Street Eastern Europe) IFC CEU (Central & Kazakhstan Almaty 41-A Kazybek Bi street, 1st and 3d Floor Eastern Europe) IFC CEU (Central & Kosovo Pristina Rruga Prishtinë – Fushë Kosovë, Rr Ali Hadri Eastern Europe) IFC CEU (Central & Kyrgyz Bishkek 21, Erkindik Boulevard Eastern Europe) Republic IFC CEU (Central & Macedonia Skopje Vojvoda Vasil Adzilarski, b.b.; Business Center Eastern Europe) Soravia III Floor IFC CEU (Central & Moldova Chisinau 20-1, Pushkin St (IFC) Eastern Europe) IFC CEU (Central & Poland Warsaw 53 Emilii Plater Street, 9th Floor Eastern Europe) IFC CEU (Central & Romania Bucharest 31, Vasile Lascar Str. Eastern Europe) IFC CEU (Central & Russian Moscow 36 Bolshaya Molchanovka Street, Bld. 1, 3rd Eastern Europe) Federation Floor 47 | P a g e The World Bank Group FY19 GHG Inventory Management Plan IFC CEU (Central & Serbia- Belgrade st:Bulevar kralja Aleksandra 86-90, 3rd and Eastern Europe) Montenegro 4th floor IFC CEU (Central & Tajikistan Dushanbe Ayni Street #48, 3rd floor (IFC) Eastern Europe) IFC CEU (Central & Turkey Istanbul Buyukdere Cad. No: 185, Kanyon Ofis Blogu Eastern Europe) Kat 19, Levent IFC CEU (Central & Ukraine Kiev 1 Dniprovskyj Uzviz, 3rd floor Kyiv 01010 Eastern Europe) IFC CEU (Central & Uzbekistan Tashkent PEP, 107 B Amir Timur Street, 14th and 15th Eastern Europe) Floor IFC CME (Middle Afghanistan Kabul Street no. 15, House No. 19, Opposite Palace East & North # 8, Waxir Akbar Khan Africa) IFC CME (Middle Egypt Cairo PEP-MENA, Nile City Towers North Tower, East & North 24th Floor & 25th Floor, 2005C, Corniche El Africa) Nil, Ramlet Boulac IFC CME (Middle Iraq Baghdad World Bank Iraq, British Embassy Premises East & North Africa) IFC CME (Middle Iraq Erbil Erbil Rotana Hotel, 2 Units East & North Africa) IFC CME (Middle Jordan Amman Ahmed Orabi Street, Building 38, Shimeisani, East & North P.O. Box 930375 Africa) IFC CME (Middle Lebanon Beirut Marfaa 119, Abdallah Bayhum Street, Bourie East & North House Building, P O Box 11 - 8577 Africa) IFC CME (Middle Morocco Rabat 7, rue Larbi Ben Abdellah East & North Africa) IFC CME (Middle Pakistan Islamabad 20-A, Shahrah-e-Jamhuriat, Ramna 5 (G-5-1) East & North Africa) IFC CME (Middle Pakistan Islamabad IFC Serena Business Complex East & North Africa) IFC CME (Middle Pakistan Karachi 6th Floor, Bahria Complex-III, M.T. Khan Road, East & North Karachi Africa) 48 | P a g e The World Bank Group FY19 GHG Inventory Management Plan IFC CME (Middle Saudi Arabia Riyadh Diplomatic Quarter, United Nations Building, East & North P.O. Box 5900 Africa) IFC CME (Middle Tunisia Tunis Immeuble Le Boulevard 3eme etage - Blocs A, East & North B et C Les Berges du Lac II Tunis 1053 Africa) IFC CME (Middle United Arab Dubai Level 5 & 10, West side, The Gate, D.I.F.C East & North Emirates Africa) IFC CME (Middle West Bank Jerusalem PEP-MENA, P.O. Box 54842, West Bank & East & North and Gaza Gaza, Dahiet Al Barid, Near Rosary Sisters Africa) Convent, Jerusalem IFC CSA (South Bangladesh Dhaka United House, 10 Gulshan Avenue, Gulshan 1 Asia) IFC CSA (South Bhutan Thimphu Lower Nozir Lam, BDFC Building,Norzam Asia) Lam,Chubabu IFC CSA (South India Chennai No: 11, Taramani Main Road, Taramani Asia) IFC CSA (South India Mumbai Vibgyor Towers, 2nd and 6th Floor, G Block, Asia) C-62 Bandra Kurla Complex, Bandra East, Mumbai 400 051 IFC CSA (South India New Delhi 6th Floor, Worldmark 3, Aerocity Asia) IFC CSA (South Nepal Kathmandu Yak and Yeti Complex , Durbar Marg Asia) IFC CSA (South Sri Lanka Colombo 15th Floor, DHPL Building, 42 Navam Asia) Mawatha IFC Part 1 Belgium Brussels Avenue Marnix, 17 Countries IFC Part 1 France Paris 66, avenue d'Iéna Countries IFC Part 1 Germany Frankfurt Bockenheimer Landstrasse 43 Countries IFC Part 1 Japan Tokyo 10th Floor, Fokoku Seimei Building, 2-2-2 Countries Uchisaiwai-cho, Chiyoda-Ku IFC Part 1 United London 12th Floor Millbank Tower, 21-24 Millbank Countries Kingdom IFC United States United States District of 2121 Pennsylvania Avenue, NW, Washington Columbia 49 | P a g e The World Bank Group FY19 GHG Inventory Management Plan IFC United States United States District of 2100 K St, NW, Washington Columbia 7th Floor, Domo Business Center, No. 86 WB AFR Angola Luanda Avenida Lenine, Ingombotas Route de l'Aeroport, Avenue Jean-Paul II Face WB AFR Benin Cotonou Hotel Marina ex-Sheraton WB AFR Botswana Gaborone Time Square, Plot 134, Independence Ave WB AFR Burkina Faso Ouagadougou 179, Avenue du President Saye Zerbo WB AFR Burundi Bujumbura Avenue de l'Aviation, Rohero 1 (IBRD) WB AFR Cameroon Yaoundé Nouvelle Route Bastos rue 1.767 Central African WB AFR Republic Bangui rue des Missions Intersection de la rue Hamit Hangata & WB AFR Chad N'Djamena Avenue Idriss Miskine, Quarter Biguinage Cocody - Angle des rues Booker Washington WB AFR Côte d'Ivoire Abidjan and Jacques Aka Democratic Republic of WB AFR Congo Kinshasa 49, Boulevard Tshatshi, Kinshasa-Gombe Africa Avenue (Bole Road) Wello Sefer Kirkos WB AFR Ethiopia Addis Ababa Sub City Wereda 02 House No. 676 Centre ville – Angle des rues Madame Pecqueur/Avenue Marquis de Compiègne et Boulevard de l’Indépendance, parcelle 156, WB AFR Gabon Libreville BP. 4027 c-o UN House, UNDP Complex, 5 Koffi Annan WB AFR Gambia, The Banjul Street, Cape Point Independence Avenue, 10th Street,Plot no. 3, WB AFR Ghana Accra Ridge Immeuble de l'Archeveche, Face Baie des WB AFR Guinea Conakry Anges Guinea- WB AFR Bissau Bissau Prédio das Naçoes Unidas, Rua Rui Djassi Delta Center Building Menengai Road, Upper WB AFR Kenya Nairobi Hill. 50 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Letseng Diamonds Building, 2nd Floor, CNR, WB AFR Lesotho Maseru Kingsway & Old School Rd German Embassy Compound, Tubman Blvd, WB AFR Liberia Monrovia Congo Town WB AFR Madagascar Antananarivo Rue Andriamifidy L. Razafimanantsoa, Anosy Mulanje House, Plot 13-57 Off Presidential WB AFR Malawi Lilongwe Way, City Centre AVENUE DU MALI, IMMEUBLE WALY WB AFR Mali Bamako DIAWARA; HAMDALLAYE ACI -2000 WB AFR Mauritania Nouakchott Lot N. 02 F Nord Liaison Ksar WB AFR Mauritius Port-Louis 3rd Floor Médine Mews, Chaussee Street WB AFR Mozambique Maputo Avenue Kenneth Kaunda, 1224 WB AFR Niger Niamey 187, rue des Dallols WB AFR Nigeria Abuja 102, Yakubu Gowon Crescent, Asokoro District Republic of Immeuble BDEAC, 2è étage, Boulevard Denis WB AFR Congo Brazzaville Sassou Nguesso WB AFR Rwanda Kigali Blvd. de la Revolution, SORAS building WB AFR Senegal Dakar Corniche Ouest X, David Diop WB AFR Sierra Leone Freetown 17 Spur Road, Freetown 442 Rodericks Road, Corner Lynnwood and WB AFR South Africa Pretoria Rodericks Roads Ministry Complex, Kololo Road, Adjacent to WB AFR South Sudan Juba Ministry of Health WB AFR Sudan Khartoum Plot 39, Street 39, Khartoum East (II) Dar-es- WB AFR Tanzania Salaam 50 Mirambo St (WB) Cite de l'OUA (entre la Residence WB AFR Togo Lomé Ambassadeur du Ghana et la Primature) Plot 1, Lumumba Ave, Rwenzori House, 1st, 4th, WB AFR Uganda Kampala 5th, and 6th floors BancABC, 746B, Church Road, Cathedral Hill, WB AFR Zambia Lusaka Lusaka Block 3, Arundel Business Park 107 Norfolk WB AFR Zimbabwe Harare Road, Mount Pleasant 51 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Level 16 and 19, 14 Martin Place, CML WB EAP Australia Sydney Building Level 10th and 11th, Exchange Square WB EAP Cambodia Phnom Penh Building, Street 106 WB EAP China Beijing 16th Floor, China World Tower 2 Level 4, Ra Marama Building, 91 Gordon WB EAP Fiji Suva Street WB EAP Fiji Suva 2nd floor, FNPF plaza building, Greig Street Indonesia Stock Exchange Bldg, Tower 2, 12th WB EAP Indonesia Jakarta Floor WB EAP Kiribati Tarawa Top Floor, Units 5 & 6 TaoTin Plaza, Bairiki Korea, 37F, POSCO E and C Tower 2,241, Incheon WB EAP Republic of Incheon tower-daero,Yeonsu-gu WB EAP Lao P.D.R. Vientiane Xieng Ngeun Village, Chanthabouly District WB EAP Malaysia Kuala Lumpur Level 3, Sasana Kijang, No. 2, Jalan Dato' Onn WB EAP Mongolia Ulaanbaatar 5th Floor, MCS Plaza Building, Seoul Street-4 No.57, Pyay Road, Corner of Shwe Hinthar WB EAP Myanmar Yangon Street 6 ½ miles, Hlaing Township 221, Level 21, Sule Square, Sule Pagoda WB EAP Myanmar Yangon Road, Yangon No. JV-001, Room 201, Building No. 3, Hilton WB EAP Myanmar Nay Pyi Daw Hotel, Taw Win Thiri Road Papua New WB EAP Guinea Port Moresby Level 13, Deloitte Tower, P.O. Box 1877 26th Floor, One Global Place, 5th Avenue WB EAP Philippines Manila corner 25th street WB EAP Samoa Apia Level 6, Central Bank Building, Beach Road 10 Marina Boulevard, Marina Bay Financial WB EAP Singapore Singapore Center, Tower 2, #34-02 Solomon Mud Alley - Heritage Park Commercial WB EAP Islands Honiara Building, Mendana Avenue 27th and 30th Floor, Siam Tower, 989 Rama 1 WB EAP Thailand Bangkok Road WB EAP Timor-Leste Dili Avenida Dos Direitos Humanos 52 | P a g e The World Bank Group FY19 GHG Inventory Management Plan The World Bank Group & ADB Level 5, WB EAP Vanuatu Port Vila Reserve Bank Building WB EAP Vietnam Hanoi 63 Ly Thai To, 8th Floor WB ECA Albania Tirana Ibrahim Rugova Street, Vila No 34, WB ECA Armenia Yerevan 9 Grigor Lusavorich Street, 6th Floor WB ECA Austria Vienna Praterstrasse 31 - 15th, 17th, 19th-21st Floors 90A Nizami street, The Landmark III Business WB ECA Azerbaijan Baku Center, 5th Floor WB ECA Belarus Minsk 6 Rumyantsev Street Bosnia- WB ECA Herzegovina Sarajevo UNITIC Tower B, Fra Andjela Zvizdovica 1 WB ECA Bulgaria Sofia 36 Dragon Tsankov Blvd. Block A, 5th Floor WB ECA Croatia Zagreb Radnicka cesta 80-IX WB ECA Georgia Tbilisi 5A, Nino Ramishvili Street WB ECA Kazakhstan Almaty 41-A Kazybek bi Street, 4th Floor WB ECA Kazakhstan Astana 12 Samal Microdistrict, 14th Floor WB ECA Kosovo Pristina Rruga Prishtinë Fushë-Kosovë Kyrgyz WB ECA Republic Bishkek 214, Moskovskaya Str. WB ECA Macedonia Skopje 34 Aminti Treti Street WB ECA Moldova Chisinau 20-1, Pushkin St Bul. Sv. Petra Cetinjskog br. 6 Bulevar SV. Petra, Cetinjskog 6 (Central Bank Bldg), WB ECA Montenegro Podgorica 81000 Bulevar Džordža Vašingtona 98 81000 WB ECA Montenegro Podgorica Podgorica 53, Emilii Plater St, Warsaw Financial Center, WB ECA Poland Warsaw 9th Floor WB ECA Romania Bucharest U T I Building, 6th Floor, 31 Vasile Lascar str. Russian Bolshaya Molchanovka 36-1, Bldg. 1, 4th & 5th WB ECA Federation Moscow Floor WB ECA Serbia Belgrade Bulevar Kralja Aleksandra 86-90 53 | P a g e The World Bank Group FY19 GHG Inventory Management Plan 48 Ayni Str. Business Center "Sozidanie", block WB ECA Tajikistan Dushanbe A, 3rd Floor WB ECA Turkey Ankara Ugur Mumcu Caddesi No. 88, Kat: 2 GOP WB ECA Turkmenistan Ashgabat UN House 21, Archabil Avenue, 744036 WB ECA Ukraine Kiev 1, Dniprovsky Uzviz, 2nd Floor WB ECA Uzbekistan Tashkent 107 B, Amir Timur str. WB LAC Argentina Buenos Aires Bouchard 547, 28th and 29th Floors Edificio Victor, piso 9, Calle Fernando WB LAC Bolivia La Paz Guachalla #342 - Sopocachi Setor Comercial Norte Quadra 02, Lote A- WB LAC Brazil Brasilia Edificio WB LAC Colombia Bogota Carrera 7 No.71-21, Torre A, piso 16 Dominican Santo Avda. Lope de Vega #29 Torre Novo Centro, WB LAC Republic Domingo piso 10 WB LAC Ecuador Quito Calle 12 de Octubre 1830 y Cordero Edificio Torre Futura Nivel 9, oficinas 904-905, WB LAC El Salvador San Salvador Colonia Escalon Guatemala 13 Calle 3-40, Zona 10, Edificio Atlantis, Piso WB LAC Guatemala City 14 WB LAC Guyana Georgetown 87 Carmichael Street, South Cummingsburg WB LAC Haiti Port-au-Prince 7, rue Ogé Edificio Corporativo 777, 9 Piso, Lomas del WB LAC Honduras Tegucigalpa Guijarro Sur, Boulevard San Juan Bosco Courtleigh Corporate Centre, 3rd Floor, 6 St. WB LAC Jamaica Kingston Lucia Avenue, Kingston 5 WB LAC Mexico Mexico City Insurgentes Sur 1605, Piso 24 Edificio Cobirsa 5to Piso, Km 6.5 Carretera a WB LAC Nicaragua Managua Masaya WB LAC Panama Panama City Avenida Aquilino De La Guardia y Calle 47 Espana 2028 c- Braslia Urano Building, 5th WB LAC Paraguay Asuncion Floor Avenida Alvarez Calderon 185, Piso 7, WB LAC Peru Lima SanIsidro 54 | P a g e The World Bank Group FY19 GHG Inventory Management Plan WB LAC Uruguay Montevideo Calle Buenos Aires 570, Piso 3 Victoria Plaza Office Tower, Plaza WB LAC Uruguay Montevideo Independencia 759 Piso 14 WB MNA Algeria Algiers 7 bis, Chemin Mackley, Ben Aknoun 16306 WB MNA Djibouti Djibouti Mezz Tower, 15th floor, Route de Venise Nile City Towers, North Tower, 29th Floor WB MNA Egypt Cairo 2005C, Cornich El Nil, Ramlet Boulac WB MNA Iraq Baghdad International Zone, British Embassy premises WB MNA Jordan Amman 5th floor of Edgo Atrium Blg, Al-Abdali district Al Shuhada Street., Al Hamra Business Tower, WB MNA Kuwait Safar Floor 32 Abdallah Bayhum Str., Bourie Bldg, N 119, WB MNA Lebanon Beirut Marfaa - Downtown WB MNA Morocco Rabat-Souissi 7, Rue Larbi Ben Abdellah, Souissi WB MNA Saudi Arabia Riyadh 1st Floor, UNDP Building, Diplomatic Quarter Immeuble Zahrabed, Immeuble le Boulvard 3 WB MNA Tunisia Tunis eme Etage Cite les Pins Les Jardins du Lac 2 WB MNA United Arab Dubai Level 5 & 10, West side, The Gate, D.I.F.C Emirates WB MNA United Arab Abu Dhabi Floor 7, Al Maqam Tower (Tower 3), Al Emirates Maryah Island, ADGM Square West Bank WB MNA and Gaza Jerusalem Al Dahieh, Beit Hanina WB Other Belgium Brussels Avenue Marnix 17, 2nd floor WB Other France Paris 66 avenue d'Iena WB Other Germany Berlin Reichpietschufer 20 WB Other India Chennai No: 11, Taramani Main Road, Taramani Block C, 11th Floor, SP Infocity , WB Other India Chennai Kandanchavadi Unit 601, Block 4B, RMZ Millenia Business Park WB Other India Chennai Kandhanchavadi Unit 602B, Block 4B, RMZ Millenia Business WB Other India Chennai Park Kandhanchavadi 55 | P a g e The World Bank Group FY19 GHG Inventory Management Plan WB Other Italy Rome Via Labicana 110 10th Floor, Fukoku Seimei Building, 2-2-2 WB Other Japan Tokyo Uchisaiwai-cho, Chiyoda-ku WB Other Switzerland Geneva 3, chemin Louis-Dunant, Case Postale 66 United WB Other Kingdom London 12th Floor, Millbank Tower, 21-24, Millbank Street No. 15, House No. 19, opposite Palace WB SAR Afghanistan Kabul #8 Office Building B - House # 141, Street # 12, WB SAR Afghanistan Kabul Wazir Akbar Khan Office Building C House # 140, Street # 12, WB SAR Afghanistan Kabul Wazir Akbar Khan Office Building D & E House # 139 Street # WB SAR Afghanistan Kabul 12, Wazir Akbar Khan WB SAR Bangladesh Dhaka Plot E-32, Agargaon, Sher-e-Bangla Nagar Lower Nozir Lam, BDFC Building,Norzam WB SAR Bhutan Thimphu Lam,Chubabu WB SAR India New Delhi 70 Lodhi Estate The Hindustan Times House, 18-20 Kasturba WB SAR India New Delhi Gandhi Marg, New Delhi 11000 9th Floor, Edhuruhiya Building, Falhumathee WB SAR Maldives Male Magu, WB SAR Nepal Kathmandu Yak & Yeti Hotel Complex, Durbar Marg WB SAR Pakistan Islamabad 20 A Shahrah-e-Jamhuriyat, Ramna 5 WB SAR Sri Lanka Colombo 1st Floor, DFCC Building, 73-5 Galle Road District of WB United States United States Columbia C - 1225 Connecticut Ave NW District of WB United States United States Columbia G -1776 G St NW District of WB United States United States Columbia I - 1850 I St NW District of WB United States United States Columbia International Square - 1825 I St NW District of WB United States United States Columbia J - 701 18th St NW 56 | P a g e The World Bank Group FY19 GHG Inventory Management Plan District of WB United States United States Columbia MC - 1818 H St NW District of WB United States United States Columbia N - 1899 Pennsylvania Ave NW District of WB United States United States Columbia U - 1800 G St NW Landover, WB United States United States Maryland LSC - 3301 Pennsy Dr New York, 1 Dag Hammarskjold Plaza, 885 2nd Avenue, WB United States United States New York 26th Floor Boyers, WB United States United States Pennsylvania Archives - near Pittsburgh Chantilly, WB United States United States Virginia BCC - Chantilly Sterling, WB United States United States Virginia Warehouse – Sterling (DCC) 57 | P a g e The World Bank Group FY19 GHG Inventory Management Plan APPENDIX G: UL360 C OUNTRY O FFICE SURVEY SCREENSHOTS Figure 14. UL360 Landing Page Figure 15. UL360 Office Utility Data Form 58 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Figure 16. UL360 Stationary Combustion Data Entry APPENDIX H: AUTOMATIC THRESHOLDS WITHIN UL360 Lower Upper Indicator Unit Threshold Threshold Office Number of months at this property out of the last 12 Months 130% months Size of entire building that World Bank/IFC's office space is within (rentable space) m2 100% 100% Size of office space that you occupy in the building m2 90% 110% Onsite Fuel Onsite Fuel Use for Building (if office amounts are unknown) Amount of Diesel (stationary - building) liters 50% 150% Amount of Gasoline (stationary - building) liters 50% 150% Amount of LPG/Propane (stationary - building) liters 50% 150% Amount of Natural Gas (stationary - building) Therms 50% 150% Onsite Fuel Use for Office Amount of Diesel (stationary) liters 50% 150% 59 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Amount of Gasoline (stationary) liters 50% 150% Amount of LPG/Propane (stationary) liters 50% 150% Amount of Natural Gas (stationary) Therms 50% 150% Refrigerants for Office Amount of HFC-125 recharged Pounds 50% 150% Amount of HFC-134 recharged Pounds 50% 150% Amount of HFC-134a recharged Pounds 50% 150% Amount of HFC-143 recharged Pounds 50% 150% Amount of HFC-143a recharged Pounds 50% 150% Amount of HFC-227ea recharged Pounds 50% 150% Amount of HFC-23 recharged Pounds 50% 150% Amount of HFC-236fa recharged Pounds 50% 150% Amount of HFC-245ca recharged Pounds 50% 150% Amount of HFC-32 recharged Pounds 50% 150% Amount of HFC-41 recharged Pounds 50% 150% Amount of HFC-R404a recharged Pounds 50% 150% Amount of Other recharged Pounds 50% 150% Amount of R-11 recharged Pounds 50% 150% Total refrigerant recharged (from building) Total amount of HFC-125 recharged Pounds 50% 150% Total amount of HFC-134 recharged Pounds 50% 150% Total amount of HFC-134a recharged Pounds 50% 150% Total amount of HFC-143 recharged Pounds 50% 150% Total amount of HFC-143a recharged Pounds 50% 150% Total amount of HFC-227ea recharged Pounds 50% 150% Total amount of HFC-23 recharged Pounds 50% 150% Total amount of HFC-236fa recharged Pounds 50% 150% Total amount of HFC-245ca recharged Pounds 50% 150% 60 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Total amount of HFC-32 recharged Pounds 50% 150% Total amount of HFC-41 recharged Pounds 50% 150% Total amount of HFC-R404a recharged Pounds 50% 150% Total amount of Other recharged Pounds 50% 150% Total amount of R-11 recharged Pounds 50% 150% Refrigerants from Vehicles Total amount of HFC-125 recharged Pounds 50% 150% Total amount of HFC-134 recharged Pounds 50% 150% Total amount of HFC-134a recharged Pounds 50% 150% Total amount of HFC-143 recharged Pounds 50% 150% Total amount of HFC-143a recharged Pounds 50% 150% Total amount of HFC-227ea recharged Pounds 50% 150% Total amount of HFC-23 recharged Pounds 50% 150% Total amount of HFC-236fa recharged Pounds 50% 150% Total amount of HFC-245ca recharged Pounds 50% 150% Total amount of HFC-32 recharged Pounds 50% 150% Total amount of HFC-41 recharged Pounds 50% 150% Total amount of HFC-R404a recharged Pounds 50% 150% Total amount of Other recharged Pounds 50% 150% Total amount of R-11 recharged Pounds 50% 150% Road Biodiesel fuel consumed Gallons 75% 125% Diesel fuel consumed Gallons 50% 150% E85 Fuel consumed Gallons 50% 150% Gasoline fuel used Gallons 50% 150% LPG (vehicle) fuel used Gallons 50% 150% Other fuel used Gallons 50% 150% Residual fuel oil use Gallons 50% 150% 61 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Distance Driven by Vehicle Type Light truck miles 50% 150% Motorcycle miles 50% 150% SUV miles 50% 150% Sedan miles 50% 150% Fuel consumption by vehicle type Heavy truck gallons 50% 150% Hybrid gallons 50% 150% Large van gallons 50% 150% Light truck gallons 50% 150% Motorcycle gallons 50% 150% SUV gallons 50% 150% Sedan gallons 50% 150% Electricity Use Electricity consumption of office space kWh 75% 125% Electricity consumption of whole building kWh 75% 125% APPENDIX I: R EPORTED EMISSIONS WBG GHG FY10 FY15 FY16 FY17 FY18 FY19 Scope Emissions in metric tons CO2e Scope 1 7,984 11,261 9,749 10,551 10,530 8,118 Scope 2 74,224 59,305 56,535 55,156 53,550 52,078 Scope 1 and 82,208 70,566 66,284 65,707 64,080 60,197 2 Scope 3 120,142 116,483 119,156 126,852 133,290 134,771 62 | P a g e The World Bank Group FY19 GHG Inventory Management Plan Total 202,350 187,049 185,440 192,559 197,370 194,967 Emissions World Bank FY10 FY15 FY16 FY17 FY18 FY19 GHG Scope Emissions in metric tons CO2e Scope 1 5,826 7,972 6,970 7,829 8,490 7,114 Scope 2 60,212 49,401 46,050 45,139 43,669 42,654 Scope 1 and 2 66,038 57,373 53,020 52,968 52,159 49,768 Scope 3 85,760 88,525 90,046 95,216 102,139 103,629 Total Emissions 151,798 145,898 143,066 148,184 154,298 153,397 IFC GHG Scope FY10 FY15 FY16 FY17 FY18 FY19 Emissions in metric tons CO2e Scope 1 2,158 3,289 2,778 2,722 2,039 1,005 Scope 2 14,012 9,904 10,485 10,017 9,881 9,424 Scope 1 and 2 16,170 13,193 13,263 12,739 11,920 10,429 Scope 3 20,826 27,958 29,111 31,636 31,151 31,142 Total Emissions 36,996 41,151 42,374 44,375 43,071 41,571 APPENDIX J: MAJOR MEETINGS (SCOPE 3) The following methodology regarding estimating emissions from the World Bank/International Monetary Fund (IMF) Spring and Annual Meetings refers to emissions calculated prior to FY15. Since then, the IMF has assumed responsibility for, and has offset through the purchase of Verified Emissions Reductions, the emissions associated with these biannual meetings for IMF and World Bank. 63 | P a g e The World Bank Group FY19 GHG Inventory Management Plan The WB/IMF Spring and Annual Meetings focus on a range of issues related to poverty reduction, international economic development, and finance. Annually, about 10,000 people attend the meetings, including on average 3,500 members of delegations from the member countries of the WBG and the IMF, roughly 1,000 representatives of the media, and more than 5,000 visitors and special guests drawn primarily from private business, the banking community, and NGOs. Because these meetings are a key aspect of the way the WBG does business, they are included in Scope 3 emissions reporting. The delegates attending the meeting, while not WBG staff, are travelling to the meeting site, staying in hotels, and using taxis to navigate around town because of the meetings, and therefore the related emissions are considered to be under our operational control. Key emissions from these meeting include air travel emissions, electricity emissions from hotel stays, and mobile combustion emissions from within city transportation. Additionally, if the meeting is hosted at a non - WBG owned facility, emissions from the venue are also calculated. Estimating Business Travel Emissions from Meetings To estimate emissions from business travel related to major meetings, a list of delegate attendees is obtained from a Conferences Officer from the Joint Secretariat for the Bank/Fund Conferences. Because the meetings are hosted by both the WBG and IMF, the GHGs assigned to delegates are divided up so that the IMF assumes responsibility for all delegates coming from IMFC countries (see Appendix H). The remaining countries are assumed to be representing WBG Member Countries. To estimate the air travel emissions associated with their flights to Washington, DC, it is assumed that each delegate is flying round trip from the capital city airport to Washington Dulles (IAD) International Airport. Flight distances are estimated using an online calculator (http://www.airrouting.com/content/TimeDistanceForm.aspx) and multiplied by two to represent a round-trip flight. Each flight leg is then grouped into the appropriate short, medium or long haul threshold (see the section on Business Travel Emissions, above), multiplied by the appropriate emission factor, and summed to calculate air travel emissions for each meeting. Estimating Emissions from Hotel Stay for Meeting Delegates The next largest source of emissions from major meetings is the electricity associated with the hotel stay from each delegate. To estimate emissions associated with these stays, it is assumed that each delegate stays in a hotel room by themselves for four nights (the meetings span three days and two nights). An average energy consumption of 69.5 kWh/room/night is assumed, (personal communication with Manager – Social Responsibility and Community Engagement for Marriott International). This total electricity consumption for the stay is then multiplied by the appropriate electricity emissions factor for the location where the meeting is hosted (in most cases this will be the emission factor for the RFC East subregion in the United States). These emissions are then summed to calculate total hotel-room related emissions for the meeting. Estimating Emissions from Delegate Travel from Airport to Meeting Venue The other source of emissions related to these major meetings is from delegate travel from the airport to the meeting venue. A conservative assumption is made that most meeting delegates will travel by themselves using taxis or other car services. For meetings hosted in Washington, DC, the distance is assumed to be 42 km, which is the distance by road from Dulles International Airport and the World Bank’s Main Complex building. This distance is multiplied by the number of attendees and by two to represent a round trip voyage. It is then converted to miles and multiplied by the appropriate emission factor for grams of CO2-e per passenger-mile (Appendix C), which are then summed to calculate total delegate travel from the airport to the meeting venue. Estimating Emissions from Meeting Venue Emissions from the meeting venue are another source of emissions related to organizing and holding a major meeting. Every Spring Meeting and two out of every three Annual Meetings are hosted at the WB and IMF premises and therefore the energy use from the meeting venue is already captured as outlined in this IMP. If a meeting is held in an external venue, the preferred methodology for estimating emissions from the energy consumed by the venue is to prorate the total annual energy use of the venue by the number of days the venue is used for the meeting. For example, if a large convention center in Tokyo has an electricity consumption of 50,000 MWh per year, and the Annual Meetings are hosted at this facility for three days, then 50,000 MWh is divided by 365 days and multiplied by three days to calculate the electricity 2|P a g e The World Bank Group FY19 GHG Inventory Management Plan consumption for the meeting. This electricity consumption is then multiplied by the regional electricity emissions factor to calculate the emissions related to the meeting venue. APPENDIX K: BUSINESS TRAVEL EMISSIONS - SCOPE 3 – PRIOR METHODOLOGY Note: Methodology used through FY18. Business air travel is representative of the WBG’s core business activities and a significant emissions source; therefore, air travel is included as a voluntary Scope 3 emissions source in the inventory. Due to difficulty in obtaining data for train and car rental, and the small proportion of associated emissions, these are excluded from the inventory. This data may be included in future inventories. Quantifying Emissions from Air Travel For the WBG’s global operations, air travel data includes air travel for all WBG employees with an identification number (UPI) —this includes contractors, consultants, and full-time staff. This data comes from entries into a statement of expense reporting system that must be completed by all employees who travel. The main purpose of this system is for staff to report all personal expenses related to a mission trip, so the system captures all legs of a trip including stop-overs using city codes (for example, WAS for Washington, DC). Each leg of the trip has an origin city code and a destination city code (for example, a round trip journey from Washington, DC to Nairobi, Kenya with a stopover in Paris would be WAS→PAR PAR→NBO, NBO→PAR, PAR→WAS). The first step to calculate distance traveled by air travel in a given fiscal year is that all city pairs from every leg of every mission trip approved and completed by WBG employees are extracted from the travel expense system along with other relevant data. To calculate flight distances between these city pairs, the city pairs are first checked against a Ticketed Point Mileage (TPM) table that contains exact distances for city code pairs and, if not found in this table, against a Maximum Permitted Mileage (MPM). The MPM table reflects the distance limit between two specified international points within which passengers can travel at the direct fare, provided that the sum of ticketed point mileage distance is not exceeded. If the city pair is not found in either of these, the trip is flagged as having a distance of 100. These unknown “100” distances are estimated in the following way: • If the travel is within the same city, the trip is assumed to not be a flight and is not included in the calculation. • If the travel is within the same country, the number of flight legs for that country is multiplied by the square root of the country area. • If the travel is not within the same country, the average known distance per flight leg originating from the country is multiplied by the number of flight legs departing from that country. Once a distance has been calculated for each trip, the air travel data is broken down by distance into three categories for each leg (short haul, medium haul, and long haul). The definitions used are from the revised “2010 Guidelines to Defra/DECC's GHG Conversion Factors for Company Reporting. Version 1.1 FINAL ”” (updated June 2010): a short-haul flight is less than 300 miles; a medium-haul flight is less than 2,300 miles; and a long-haul flight is more than or equal to 2,300 miles. The emission factor for unknown flight distances that have been estimated is calculated by taking the total kg of emissions from business air travel and dividing it by the total number of passenger-miles for the WBG. To calculate air travel emissions for each flight category, the distance traveled and the appropriate GHG emission factor is applied to obtain the emissions due to air travel (Figure 13). For a list of emissions factors, see Appendix E. Figure 17. Air Travel Emissions Calculation (Preferred) Distance Traveled S-, M- or L-Haul Total Metric Tons (Passenger-km) X Emission Factor = CO2 eq from Air (CO2 eq/Passenger-km) Travel 3|P a g e The World Bank Group FY19 GHG Inventory Management Plan Note on Integration of the Radiative Forcing Index for Medium- and Long-haul Flights Radiative forcing is the change in radiation received at the surface of the earth due to the emission of GHGs. High-flying aircraft spur radiative changes through three types of processes: direct emission of radiatively active substances, such as CO2 and water vapor; emission of chemicals that produce or destroy radiatively active substances, such as NOx; and emission of substances that generate aerosols or lead to changes in natural clouds (for example, contrails). The radiative forcing index (RFI) is a measure of the importance of these aircraft emissions on the atmosphere. The current, generally accepted RFI factor is 1.9. Neither the United Kingdom’s DEFRA, the ICAO, nor the United States’ EPA or WRI factor the RFI into air travel emissions calculations despite the recommendation of the UNFCCC. Therefore, the WBG does not currently integrate RFI into its GHG inventory for air travel. Both the WRI and the EPA are reviewing this issue and may decide to integrate RFI into air travel emissions calculations. If international consensus is reached on the appropriate application of RFI, the WBG will revisit this issue. WORLD BANK GROUP C ONTACTS Organization Name: The World Bank: IBRD/IDA Corporate Address: 1818 H St. NW, Washington, DC, USA 20433 Inventory Manager: World Bank Corporate Responsibility Program Team Lead: Nadja Bleiber, Senior Environmental Specialist Monika Kumar, Environmental Specialist Contact Information: Email: crinfo@worldbank.org Organization Name: International Finance Corporation (IFC) Corporate Address: 2121 Pennsylvania Ave., NW, Washington, DC 20433 Inventory Manager: Footprint Program Manager, Victoria Insley Contact information: Email: vinsley@ifc.org 4|P a g e