The World Bank Group Greenhouse Gas Emissions Inventory Management Plan for Internal Business Operations 2015 Cover Image: © Adam Rubinfield This volume is a product of the staff of the World Bank Group. The World Bank Group does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of the World Bank Group concerning the legal status of any territory or the endorsement or acceptance of such boundaries. RIGHTS AND PERMISSIONS The material in this publication is copyrighted. Copying and/or transmitting portions or all of this work without permission may be a violation of applicable law. The World Bank Group encourages dissemination of its work and will normally grant permission to reproduce portions of the work promptly. 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Lead Author: Adam Rubinfield Contributors: Monika Kumar, Sarah Raposa Team Lead: Sabrina Capannola, Sr. Project Manager, GSD Institutional Services Division © 2016 The World Bank 1818 H ST NW Washington DC 20433 All rights Reserved P a g e | i Prepared by World Bank Corporate Responsibility Program and IFC Footprint Program The World Bank Group FY15 GHG Inventory Management Plan TABLE OF CONTENTS ACRONYMS AND ABBREVIATIONS ........................................................................................................... 1 INTRODUCTION........................................................................................................................................ 2 DEFINITION OF SCOPE IN GHG PROTOCOL........................................................................................................... 2 WBG BOUNDARY CONDITIONS ................................................................................................................ 3 ORGANIZATIONAL BOUNDARY ........................................................................................................................... 3 OPERATIONAL BOUNDARY AND SCOPE ................................................................................................................ 5 GHG LIST ..................................................................................................................................................... 5 WBG BOUNDARY CONDITION ASSUMPTIONS ...................................................................................................... 5 EMISSIONS QUANTIFICATION .................................................................................................................. 6 SCOPE 1 – DIRECT EMISSIONS .......................................................................................................................... 7 On-site (Stationary) Combustion – Scope 1 ................................................................................................... 7 Refrigerants – Scope 1 .................................................................................................................................... 8 Mobile Sources - Scope 1 ............................................................................................................................. 10 SCOPE 2 – INDIRECT EMISSIONS ...................................................................................................................... 12 Electricity Purchases – Scope 2 .................................................................................................................... 12 Purchased Heat, Steam, and Chilled Water – Scope 2 ................................................................................. 16 SCOPE 3 – OTHER INDIRECT EMISSIONS ............................................................................................................ 18 Business Travel Emissions – Scope 3 ............................................................................................................ 18 Contractor-owned vehicles – scope ............................................................................................................. 19 Major Meetings ............................................................................................................................................ 19 DATA MANAGEMENT............................................................................................................................. 20 ACTIVITY DATA AND DATA MANAGEMENT ........................................................................................................ 20 QUALITY ASSURANCE .................................................................................................................................... 22 DATA GAPS ................................................................................................................................................. 23 DATA SECURITY ............................................................................................................................................ 23 CORPORATE REPORTING FREQUENCY................................................................................................................ 24 BASE YEAR ............................................................................................................................................. 24 ADJUSTMENTS TO BASE YEAR EMISSIONS – STRUCTURAL AND METHODOLOGY CHANGES ........................................... 24 MANAGEMENT TOOLS ........................................................................................................................... 24 ROLES AND RESPONSIBILITIES .......................................................................................................................... 25 TRAINING .................................................................................................................................................... 26 DOCUMENT RETENTION AND CONTROL POLICY .................................................................................................. 26 AUDITING AND VERIFICATION ............................................................................................................... 26 INTERNAL AUDITING ...................................................................................................................................... 27 EXTERNAL AUDITING ..................................................................................................................................... 27 MANAGEMENT REVIEW ................................................................................................................................. 27 CORRECTIVE ACTION ..................................................................................................................................... 27 APPENDIX A: STATIONARY EMISSION FACTORS ..................................................................................... 28 APPENDIX B: REFRIGERANT EMISSIONS ................................................................................................. 29 APPENDIX C: MOBILE FUEL EMISSION FACTORS ..................................................................................... 30 APPENDIX D: PURCHASED ELECTRICITY .................................................................................................. 33 P a g e | ii Prepared by World Bank Corporate Responsibility Program and IFC Footprint Program The World Bank Group FY15 GHG Inventory Management Plan APPENDIX E: AIR TRAVEL EMISSIONS FACTORS ...................................................................................... 45 APPENDIX F: WORLD BANK GROUP FY 14 MASTER LOCATION LIST ........................................................ 45 APPENDIX G: CREDIT360 COUNTRY OFFICE SURVEY SCREENSHOTS ....................................................... 55 APPENDIX H: IMFC COUNTRIES NOT INCLUDED IN WORLD BANK GROUP ANNUAL AND SPRING MEETING INVENTORY (ACCOUNTED FOR BY IMF) .................................................................................. 56 APPENDIX I – AUTOMATIC THRESHOLDS WITHIN CREDIT360................................................................. 57 FIGURES FIGURE 1. ON-SITE FUEL COMBUSTION EMISSIONS CALCULATION ................................................................................ 7 FIGURE 2. PRORATING ON-SITE FUEL COMBUSTION EMISSIONS CALCULATION ................................................................ 8 FIGURE 3. REFRIGERANT EMISSIONS CALCULATION (PREFERRED) .................................................................................. 9 FIGURE 4. REFRIGERANT EMISSION CALCULATIONS FROM VEHICLES ............................................................................ 10 FIGURE 5. MOBILE FUEL EMISSIONS CALCULATION (PREFERRED) ................................................................................ 11 FIGURE 6. MOBILE FUEL EMISSIONS CALCULATION (VEHICLE TYPE AND DISTANCE) ........................................................ 11 FIGURE 7. MOBILE FUEL EMISSIONS CALCULATION (FUEL COST) ................................................................................ 12 FIGURE 8 ESTIMATING COUNTRY ELECTRICITY EMISSION FACTORS: LAO PDR ............................................................... 13 FIGURE 9. PURCHASED ELECTRICITY EMISSIONS CALCULATION (PREFERRED) ................................................................. 14 FIGURE 10. PURCHASED ELECTRICITY EMISSIONS ESTIMATE (BUILDING AREA) .............................................................. 14 FIGURE 11. ESTIMATING EMISSIONS FROM PURCHASED STEAM ................................................................................. 17 FIGURE 12. AIR TRAVEL EMISSIONS CALCULATION (PREFERRED) ................................................................................ 19 FIGURE 13. CREDIT360 LANDING PAGE ................................................................................................................ 55 FIGURE 14. CREDIT360 ENERGY INFORMATION TAB ................................................................................................ 55 FIGURE 15. CREDIT360 STATIONARY COMBUSTION DATA ENTRY ............................................................................... 56 TABLES TABLE 1. LIST OF WBG U.S. PROPERTIES IN FY 14.................................................................................................... 4 TABLE 2. ASSUMPTIONS USED TO CREATE INTENSITY RATE FOR REFRIGERANT................................................................. 9 TABLE 3 VEHICLE REFRIGERANT CHARGE FACTORS ................................................................................................... 10 TABLE 4. ELECTRICITY AVERAGES FOR WB REGIONS (BASED ON FY 08 DATA) .............................................................. 15 TABLE 5. ELECTRICITY AVERAGES FOR IFC REGIONS (BASED ON FY 08 DATA) ............................................................... 15 TABLE 6. ASSUMPTIONS FOR CALCULATING EMISSIONS FROM STEAM .......................................................................... 17 TABLE 7. DATA ORIGINS FOR SCOPE 1 EMISSION SOURCES ........................................................................................ 21 TABLE 8. DATA ORIGINS FOR SCOPE 2 EMISSION SOURCES ........................................................................................ 22 TABLE 9. ROLES AND RESPONSIBILITIES FOR DATA REPORTING ................................................................................... 25 ATTACHMENTS WBG Washington, DC Emissions Summary P a g e | ii Prepared by World Bank Corporate Responsibility Program and IFC Footprint Program The World Bank Group FY15 GHG Inventory Management Plan ACRONYMS AND ABBREVIATIONS  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 U.S. Energy Information Administration  EPA U.S. Environmental Protection Agency  FP Footprint Program  FTE full-time employee  GHG greenhouse gas  GSDCR General Service Department Corporate Real Estate  GSDMS General Service Department Mail and Shipping Services  GSDPC General Service Department Program Coordination  GSDSO General Service Department Corporate Security  GSDTV General Service Department 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, 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: Environmental Specialist, GSDSR, Adam Rubinfield Contact Information: Phone: 202-473-4418 E-mail: arubinfield@worldbank.org Organization Name: International Finance Corporation (IFC) Corporate Address: 2121 Pennsylvania Ave. NW, Washington, DC USA 20433 Inventory Manager: Program Manager, Footprint Program, Sarah Raposa Contact information: Phone: 202-458-7703 E-mail: sraposa@ifc.org 1|Page The World Bank Group FY15 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 located 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 greenhouse gas accounting and reporting. The inventory methodology is designed to meet the most rigorous and complete accounting and reporting standards. In 2007 the World Bank (WB) joined the EPA Climate Leaders Program and set a voluntary target for reducing its Scope 1 and 2 emissions. This IMP includes information that applies to the offices located in the United States and complies by the World Bank’s previous participation in the U.S. EPA’s Climate Leaders Program. The U.S. EPA Climate Leaders program was phased out as of 9/15/2010 and the WB is no longer required to report annual emissions information to the EPA. However, the WB will continue to abide by EPA guidance for GHG inventories, and is researching other alternatives for reporting and goal setting, including its current participation in CDP and the UN Climate Neutral Initiative. 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. DEFINITION OF SCOPE IN GHG PROTOCOL 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 2|Page The World Bank Group FY15 GHG Inventory Management Plan WBG BOUNDARY CONDITIONS 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 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. 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 operate under full-service gross leases, where the building owner/manager pays the utilities directly and WBG does not have access to actual energy consumption information. 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 General Services Department Corporate Real Estate office (GSDCR), while IFC locations are from the IFC Real Estate Database managed by the IFC’s Facilities Management team. A list of offices included the FY 14 GHG inventory can be found in Appendix F. 3|Page The World Bank Group FY15 GHG Inventory Management Plan Washington, DC Specific In the United States, the World Bank Group owns or leases facilities located in Washington, DC, Virginia, and New York. A list of these facilities is presented in Table 1. Table 1. List of WBG U.S. Properties in FY 15 Building Status Size In Address Operational Control Name (Own/Lease) (gross ft2) Inventory Archives Pennsylvania, near Pittsburgh Lease WB Non-Operating 54,000 Scope 1, 2 4120 Lafayette Center Dr. CF Lease WB Operating 54,530 Scope 1, 2 Chantilly, VA 20151 2121 Pennsylvania Ave. NW F Own IFC Owned 1,138,000 Scope 1, 2 Washington, DC 20433 1776 G St. NW G Lease WB Non-Operating 210,354 Scope 1, 2 Washington, DC 20006 1850 I St. NW I Own WB Owned 601,446 Scope 1, 2 Washington, DC 20433 701 18th St. NW Long-term J WB Operating 533,894 Scope 1, 2 Washington, DC 20433 Lease 1818 H St. NW MC Own WB Owned 2,065,507 Scope 1, 2 Washington, DC 20433 1225 Connecticut Ave NW C Own WB Owned 240,811 Scope 1, 2 Washington, DC 20036 900 19th St. NW, P Lease WB Non-Operating 10,935 Scope 1, 2 Washington, DC 20433 1800 G St. NW, U Lease WB Non-Operating 140,214 Scope 1, 2 Washington, DC 20433 1 Dag Hammarskjold Plaza, UN Liaison 885 2nd Ave., 26th Fl., Lease WB Non-Operating 4,825 Scope 1, 2 Office New York, NY 10017 VA Ware- Dulles Commerce Center, house Bldg. 100, 23760 Pebble Run Lease WB Operating 50,030 Scope 1, 2 (DCC) Dr., Sterling, VA 20166 Landover Service 3301 Pennsy Dr Lease WB Operating 54,591 Scope 1, 2 Center Landover, MD 20785 (LSC) 1900 Pennsylvania Ave NW M Building 9th Floor, Washington, DC Lease WB Non-Operating 55,300 Scope 1, 2 20433 4|Page The World Bank Group FY15 GHG Inventory Management Plan OPERATIONAL BOUNDARY AND 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 employee business air travel are included in Scope 3. Prior to 2008, our scope was limited to headquarters operations in Washington DC only, including Washington, DC and Virginia leased facilities and facilities with operational control, and only DC-based employee travel.  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 WBG employee business air travel and leased vehicles operated by other organizations. GHG LIST The WBG greenhouse gas inventory includes emissions from five of the six major GHG gases (there are no known emissions from SF6):  CO2  CH4  N2O  HFCs  PFCs 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 as follows: Assumptions: Global Inventory  Where there is 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, where available. 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.  Data for WB and IFC GHG inventories are collected and compiled separately 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.  For business travel, only employee air travel and travel by contracted car service data is collected and included because the majority of WBG business travel impacts are associated with plane travel.  If a WBG office houses five or fewer employees, it is assumed that activity data is difficult to obtain, and that the contribution of emissions is relatively insignificant. 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 5|Page The World Bank Group FY15 GHG Inventory Management Plan 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 FY2007, 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 Analytics Department (HRSAN). In FY2008 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). In FY2009 and going forward, the WBG reverted back to numbers for staff and extended-term consultants and temporaries as of the close of the fiscal year (June 30) provided by HRSAN and IFCHR in an effort to standardize measurement.  In the absence of a complete country office database, office area data for World Bank offices is entered by data owners in each of the offices and confirmed with CO Real Estate Tracking database where possible. For IFC offices, office area is extracted from the country office real estate database and uploaded into the CR360 system. Any discrepancies may then be identified by data owners in each office.  Homes owned by the World Bank Group 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 IFC and WB share archive, business continuity center, and warehouse space leased by the World Bank. Since the World Bank manages the lease, the WB 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 (located in Sterling, VA).  Emissions are estimated for buildings in Washington, DC where the WBG lacks operational control. 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 mail 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 van drivers. Because the IFC does not own any vehicles in Washington, DC, no emissions associated with vehicle refrigerant are reported. EMISSIONS QUANTIFICATION The following sections explain the GHG emissions quantification approach for each of the WBG’s emissions sources contained within the boundaries of the fiscal year 2015 (FY15) 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), U.S. Environmental Protection Agency (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 FY2009, this survey was conducted through a Web-based data management system called Credit360, found online at http://worldbank.credit360.com. See Appendix G for screenshots from the FY13 survey. When activity data is unavailable, emissions estimates are made for electricity, refrigerants, and air travel based on office area or number of employees. 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. For a summary of FY15 emissions, please see the attached report. 6|Page The World Bank Group FY15 GHG Inventory Management Plan SCOPE 1 – DIRECT EMISSIONS ON-SITE (STATIONARY) COMBUSTION – SCOPE 1 Quantifying Emissions from On-site (Stationary) Combustion On-site combustion of fossil fuels for the generation of electricity, heat, or steam is one source of direct emissions. 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. Figure 1. On-site Fuel Combustion Emissions Calculation Source: ASR Occasionally, WBG offices are able to 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. 7|Page The World Bank Group FY15 GHG Inventory Management Plan Figure 2. Prorating On-site Fuel Combustion Emissions Calculation Fuel Usage Quantity Area of Entire Prorated fuel usage – entire building X Area of WBG office / Building = quantity (energy) (energy) Fuel-Specific CO2 Metric Tons CO2 = Emissions Factor Prorated Fuel Usage Fuel-Specific CH4 CH4 Global Metric Tons CH4 Quantity (energy) X Emissions Factor X Warming Potential = Fuel-Specific N2O N2O Global Metric Tons N2O X X = Emissions Factor Warming Potential Metric Tons CO2 Metric Tons CO2-e Metric Tons CO2-e Total Metric Tons + (CH4) + (N2O ) = CO2-e from Onsite Combustion Source: ASR There is no credible methodology to estimate emissions for missing on-site fuel data. 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. REFRIGERANTS – SCOPE 1 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 8|Page The World Bank Group FY15 GHG Inventory Management Plan unit, a freezer, or a refrigeration unit. Due to activity data available, 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 Intergovernmental Panel on Climate Change (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 - Total Mtons Refrigerant X Specific Global = CO2eq from Recharge Quantity Warming Potential Refrigerants Source: AR In some cases, WBG country offices are able to 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 (1 ton of cooling per 500 ft2 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. Table 2. Assumptions Used to Create Intensity Rate for Refrigerant Amount Step Source Assumed Estimated area per ton cooling (ft2/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 ft2-year) 0.0000002 9|Page The World Bank Group FY15 GHG Inventory Management Plan Source: ASR 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. 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, 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, but they represent a small portion of the WBG’s emissions source , because its 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 minute part of the WBG’s GHG emissions from internal business operations. The WBG includes data on refrigerants from vehicles used globally. 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 8 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 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 4) Figure 4. 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) Refrigerant-specific Convert kg to mtons Total metric tons Annual Refrigerant loss (kg) X Global Warming ÷ (1000) = CO2-e 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 Airplane 6.4 MOBILE SOURCES - SCOPE 1 10 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 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. Quantifying Emissions from Mobile Sources The majority of WBG offices report the quantity of fuel used from driver logs or invoices. Direct CO2 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 CO2 emissions factors to calculate the total CO2 emissions as shown in Figure 5. Figure 5. Mobile Fuel Emissions Calculation (Preferred) Fuel-Specific CO2 Total Metric Tons Fuel Usage Quantity (volume) X Emissions Factor = CO2 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 6). 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 6. Mobile Fuel Emissions Calculation (Vehicle Type and Distance) Vehicle-Specific Fuel Estimated Fuel Total Distance Driven X Efficiency (volume of fuel/distance) = Usage Quantity Fuel-Specific CO2 Total Metric Tons Estimated Fuel Usage Quantity X Emissions Factor = CO2 from Mobile Combustion Source: TK If mileage and fuel economy are not available, data providers are provided 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 7). 11 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Figure 7. Mobile Fuel Emissions Calculation (Fuel Cost) Average Cost per Unit Estimated Fuel Total Fuel Cost / of Fuel Type = Usage Quantity Fuel-Specific CO2 Total Metric Tons Estimated Fuel Usage Quantity X Emissions Factor = CO2 from Mobile Combustion 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 FY13, 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 FY 13 was used as a proxy for FY 14 fuel use. 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 CO2, CH4, and N2O 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 N2O factors for each fuel type (gasoline, diesel, and LPG). These standards have been set in place until more accurate data is available. SCOPE 2 – INDIRECT EMISSIONS ELECTRICITY PURCHASES – SCOPE 2 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. 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 We prorate 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/ft2) established from actual data provided from Method 1. This method is explained below in more detail. 12 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Quantifying Emissions from Electricity GHG emissions from the generation of electricity include CO2, CH4, and N2O. 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 FY 14 inventory come from eGRID 2014. 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. 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 8 Estimating Country Electricity Emission Factors: Lao PDR Source: ASR 13 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Figure 9. Purchased Electricity Emissions Calculation (Preferred) Region Specific X Emissions Factor = Mtons CO2 for CO2 Region Specific kWh of Purchased CH4 Global Mtons CO2 eq X Emissions Factor X = Electricity Warming Potential (CH4 ) for CH4 Region Specific N2 O Global Mtons CO2 eq X Emissions Factor X = Warming Potential (N2 O) for N2 O Total Mtons Mtons CO2eq Mtons CO2 eq Mtons CO2 + + = CO2 eq from (CH4 ) (N2 O) Electricity Source: ASR Methodology for Estimating Electricity Use For offices that are able to 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. Figure 10. Purchased Electricity Emissions Estimate (Building Area) Estimated kWh of Average kWh / Building area X = Purchased area / yr Electricity Region Specific X Emissions Factor = Mtons CO2 for CO2 Estimated kWh of Region Specific CH4 Global Mtons CO2 eq Purchased X Emissions Factor X = Warming Potential (CH4 ) Electricity for CH4 Region Specific N2 O Global Mtons CO2 eq X Emissions Factor X = Warming Potential ( N2 O) for N2 O Total Mtons Mtons CO2 eq Mtons CO2 eq Mtons CO2 + + = CO2 eq from (CH4 ) (N2 O) 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 10). 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/ft2) intensity figure. 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 3 (WB) and 4 (IFC) show the IFC/WB country offices that were used to calculate each regional average. 14 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 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. For now, we will continue to use the FY 08 averages. Table 4. Electricity Averages for WB Regions (Based on FY 08 Data) WB Region Average Based on the Following Countries kWh/ft2 Australia, Cambodia, China, Indonesia (Jakarta), East Asia and the Pacific (EAP) 11.1 Laos, Thailand, Timor-Leste, Vietnam (Hanoi) Albania, Armenia, Belarus, Georgia, Kazakhstan (Almaty), Kosovo, Kyrgyz Republic, Macedonia, Europe and Central Asia (ECA) 14.8 Poland, Romania, Serbia, Tajikistan, Turkey, Ukraine Argentina, Bolivia, Colombia, Dominican Latin America and the Republic, Ecuador, Guatemala, Haiti, Honduras, 15.2 Caribbean (LAC) Jamaica, Peru Middle East and North Africa Egypt 15.1 (MNA) India (New Delhi–70 Lodhi, 53 Lodhi Estate, Golf South Asia (SAR) 18.2 Links, Polish Embassy), Pakistan 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: ASR Table 5. Electricity Averages for IFC Regions (Based on FY 08 Data) IFC Region Average Based on the Following Countries kWh/ft2 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 9.0 (CLA) Paulo), Colombia, Mexico, Peru Middle East & North Africa Egypt, Morocco 10.6 (CME) South Asia (CSA) Bangladesh, Sri Lanka 20.1 15 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 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 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: ASR PURCHASED HEAT, STEAM, AND CHILLED 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 should be 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 CO 2 equivalent emissions from the purchase of steam (Figure 10). 16 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Figure 11. Estimating Emissions From Purchased Steam Amount of steam Boiler efficiency Amount of fuel used purchased (energy) / (80%) = for steam (energy) Fuel-specific CO2 X emission factor = Metric Tons CO2 Amount of fuel used Fuel-specific CH4 X X CH4 GWP = Metric Tons CH4 for steam (energy) emission factor Fuel-specific N2O X emission factor X N2O GWP = Metric Tons N2O Metric Tons CO2 + Metric Tons CH4 + Metric Tons N2O = Metric tons CO2-e Source: TK Table 6. 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: ASR Quantifying Emissions from Chilled Water Estimates for emissions from chilled water production are a small part of the overall World Bank Group emissions inventory. In FY 14, only a few offices responded with information 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. 17 | P a g e The World Bank Group FY15 GHG Inventory Management Plan SCOPE 3 – OTHER INDIRECT EMISSIONS BUSINESS TRAVEL EMISSIONS – SCOPE 3 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 World Bank Group. 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 12). For a list of emissions factors, see Appendix E. 18 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Figure 12. Air Travel Emissions Calculation (Preferred) S-, M- or L-Haul Total Metric Tons Distance Traveled (Passenger-km) X Emission Factor = CO2-e from Air (CO2/Passenger-km) Travel 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 greenhouse gases. 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 2.7. 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. CONTRACTOR-OWNED VEHICLES – SCOPE Emissions from vehicles owned by contractors but used for World Bank Group 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. MAJOR MEETINGS The World Bank Group and the International Monetary Fund (IMF) host two major meetings each year to discuss 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 Bank 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- Bank 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 greenhouse gases 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 19 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 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 2 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 3 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 World Bank 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 3 days, then 50,000 MWh is divided by 365 days and multiplied by 3 days to calculate the electricity 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. DATA MANAGEMENT ACTIVITY DATA AND DATA MANAGEMENT WBG Data Collection The WBG continued to centralize GHG emissions data collection and management in FY14 by using a Web- based inventory management database called 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 business travel. Data is also collected on recycling habits, volunteer hours, water use, financial donations, and energy efficiency initiatives. 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. This method also provides an audit trail, so it is clear which staff member is entering the data. Upon log-in, users are 20 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 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 5 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 estimates for when no data is entered for electricity and refrigerant use by picking “Exempt-Less than 5 employees” so that the Credit360 system is prompted to use the estimates detailed in the sections above. This was required for 21 WB offices and 10 IFC offices in FY 14. To collect GHG emissions at WBG facilities in Washington, DC, engineers, building managers, real estate experts, travel management officers, and HR analytics officers identified in the “Management Tools” section are asked to submit their respective data sets for the fiscal year. Data Sources 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 initiated from Washington, DC 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. Itineraries for global employees must also be recorded in the statement of expense system for travel to be approved and authorized. This data is combined and summarized and reported at all organizational levels, from vice presidential units (VPUs) down to the individual traveler. 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 7. Table 7. Data Origins for Scope 1 Emission Sources Source Data Tracked Data Origin Vendor Source Record Responsibility 21 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Boilers and Quantity of fuel Purchasing records Washington Gas GSDCR generators consumed and utility bills CHRFM Air conditioning Quantity of Service records Donohoe GSDCR refrigerant CHRFM replaced, removed Mobile combustion Fuel purchased Departmental fuel NA GSDSO, GSDCR, sources logs, purchasing card GSDSS, GSDMS, records CHRFM Source: TK Scope 2 emissions from electricity usage at WBG-owned buildings are assessed through electric utility bills (kWh) consumption records (Table 8). Table 8. Data Origins for Scope 2 Emission Sources Source Data Tracked Data Origin Vendor Source Record Responsibility Electricity Quantity of Utility bill PEPCO GSDCR electricity CHRFM consumed (kWh) 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 new data management system, Credit360, this whole process of data entry, returned data, omitted data, and accepted data is captured for auditing purposes. Beginning with the FY 11 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 Environmental Specialist for the World Bank 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 Env. Specialist uses the feedback modules available in Credit360 to query data points 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 Env. Specialist for approval.  Once the majority of data is submitted, the Env 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). 22 | P a g e The World Bank Group FY15 GHG Inventory Management Plan The staff members exports data from Credit360 to calculate kWh usage per square meter 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 5 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. Prior to the use WBG’s Statement of Expense (SOE) system for global air travel data, air travel data had the biggest data gaps. However, data from this new system now provides exact distances for the majority of WBG staff air travel. The exception is for city pairs entered into the SOE system that are not matched up on either the Ticketed Point Mileage (TPM) table or the Maximum Permitted Mileage (MPM) table, both of which are used to calculate distances for each city pair. It is estimated that about 25% of air travel data from the SOE statement falls under this data gap. Estimations are used to fill these gaps as explained in this IMP. 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 ch ange 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:  GSDCR 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. CHRFM 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.  GSDCR and CR will inventory each WB management–controlled facility for stationary fuel sources, including generators, boilers, and chillers. CHRFM and the FP will inventory each IFC management– controlled facility for stationary fuel sources including generators, boilers, and chillers.  GSDCR and CR will review all WB fuel records for the year to ensure that logs and invoices are consistent with reality. CHRFM and the FP will review all IFC fuel records for the year to ensure that logs and invoices are consistent with reality.  GSDCR and CHRFM will review utility bills provided by the utility company to ensure that the patterns are consistent with use. Upon changes to the bills, GSDCR will notify CR, and CHRFM 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 GSDCR, GSDSO, and GSDMS. DATA SECURITY 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. 23 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 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. BASE YEAR The WBG completed its first global GHG inventory in FY2007. The inventories in FY2007 and FY2008 were for learning and educational purposes—teaching country offices about carbon inventory data collection and identifying data gaps. The FY2009 inventory was the first using a Web-based survey, and was also used as a learning experience. The IFC has identified FY 2008 as their base year for reducing electricity use per workstation in their Washington, DC office. The World Bank has set FY 10 as their base year for reducing emissions from managed and owned offices by 10% by FY 17. 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 1 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 1 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. MANAGEMENT TOOLS 24 | P a g e The World Bank Group FY15 GHG Inventory Management Plan ROLES AND RESPONSIBILITIES Each WBG office is encouraged to have a chart to track roles and responsibilities (Table 9). This IMP contains detailed roles and responsibilities for Washington, DC. For contacts for our global offices, please contact the WBG. Table 9. Roles and Responsibilities for Data Reporting Department Emission Source Location Persons Responsible Responsible Robert Sensenig, Sr. Project Electricity, Manager, GSDCR boilers, Owned WB buildings GSDCR Lead Engineer, Donohoe generators, Facilities Services refrigeration 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 World Bank’s accounting system, SAP). The paper form is filed twice within GSD. The process for electricity bills and for natural gas and diesel purchases for boilers and generators is as follows: Invoice generated Invoice scanned Original invoice Duplicate paper and sent to the and filed in SAP filed with GSD invoice filed with World Bank 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 GSDCR as a hard copy. The hard copy of the bill is maintained by the World Bank. Refrigerant replacement and replenishment is recorded by the servicing company, Donohoe. Donohoe will submit an electronic report to the World Bank 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 World Bank office. The engineer for the building containing the chiller that was serviced will also maintain a copy of the file. The World Bank will maintain these records for three years as required by the EPA. Electricity, boilers, Hisao Kimura, Sr. Project Leased WB buildings GSDCR generators, Manager, GSDCR refrigeration For leased buildings, records are maintained in the following fashion: The World Bank, 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/ft2). Christopher Potkay, Contractor, Electricity, Brandywine Realty Trust boilers, Owned IFC buildings CHRFM Robert Pearlman, Sr. Facilities generators, and Administration Officer, refrigeration CHRFM 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) 25 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Department Emission Source Location Persons Responsible Responsible 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 Palma Banzon, Program Assistant, GSDCS GSDCS Alfonso Magsalin, Asst Project Mobile combustion GSDCR Owned WB vehicles Manager, GSDFR sources GSDMS Ben Moss, Project Manager, GSDMS Fuel usage records are maintained in the following fashion: 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 gives receipt (which lists number of Driver fills up Driver notes mileage gallons and mileage) to the Customer Service vehicle with p-card down on receipt Representative. GSD Resource Manager authorizes payment The Representative retains the p-card statement and maintains records for three years and receipts to fill in spreadsheet Travel booked through Ashish Gour, ITS; Touhid Business travel American Express and other GSDTV and ITS Mohammad Hanif, GSDTV agencies Records are maintained in the following fashion: This data is recorded in SAP through Statement of Expense reports by staff and reported through Business Warehouse to CR for the inventory calculation. 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 GSDCR 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 Environmental Protection Agency, and U.S. Department of Energy DOCUMENT RETENTION AND CONTROL POLICY Washington, DC specific See “Roles and Responsibilities” section for Washington, DC offices process. AUDITING AND VERIFICATION 26 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 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 Inventory Management Plan 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 FY 09 Inventory and IMP in FY 10 and the FY 11 Inventory and FY 12 IMP. Additionally, the IMP and IFC’s GHG inventory are reviewed annually as a part of the IFC annual report auditing procedures. MANAGEMENT REVIEW Annually, upon completion of the GHG inventory, the GHG inventory results will be presented to the World Bank Corporate Responsibility Oversight Committee, comprised of senior management representatives from SDN, GSD, Treasury, Corporate Finance and Risk and External Communications.. 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. 27 | P a g e The World Bank Group FY15 GHG Inventory Management Plan APPENDIX A: STATIONARY EMISSION FACTORS Stationary Emissions Factors CO2 CH4 N2O Fuel Type (kg/MMBt (kg/MMBtu (kg/MMBtu CO2eq Unit Heat Content u) ) ) 0.000105 kg CO2eq/ 52.9515 0.005275 53.1148 5 MMBtu kg CO2eq/ 5.31148 Btu/ft3 Natural Gas therm 988 HHV 1.88953 kg CO2eq/m3 2.70 kg CO2eq/kg kg CO2eq/ 78.1755 0.01055 0.00063 78.59 MMBtu MMBtu Gas/Diesel 0.13 2.6991 kg CO2eq/l /gal Oil 6 HHV kg 10.217 CO2eq/gal MMBtu Residual Fuel kg CO2eq/ 0.14 81.657 0.01055 0.00063 81.657 /gal Oil (#5 & 6) MMBtu 3 HHV kg CO2eq/ 73.1115 0.01055 0.00063 73.529 MMBtu Motor MMBtu 0.12 /gal Gasoline 4 2.3272 kg CO2eq/l HHV 0.000105 kg CO2eq/ 66.57 0.005275 66.98828 MMBtu LPG/Propan 5 MMBtu 0.08 /gal e 4 1.49979 kg CO2eq/ l HHV kg CO2eq/ 75.8545 0.01055 0.00063 76.27228 MMBtu MMBtu 0.13 Kerosene /gal 2 2.46482 kg CO2eq/l HHV Source: WRI. Calculation Tool for Direct Emissions from Stationary Combustion. Calculation worksheets. December 2007. Version 3.1 28 | P a g e The World Bank Group FY15 GHG Inventory Management Plan APPENDIX B: REFRIGERANT EMISSIONS Global Warming Potentials GHG Type GWP Source CO2 1 CH4 25 Intergovernmental Panel on Climate Change, Fourth Assessment Report N2O 298 http://www.ipcc.ch/publications_and_data/ar4/wg1/en/ch2s2-10-2.html SF6 23,900 Refrigerants HCFC Type GWP Source Only used to measure supplemental emissions R-11 4,600 GWPs drawn from Intergovernmental Panel on Climate Change, Second Assessment R-22 1,700 Report http://www.ipcc.ch/ipccreports/assessments-reports.htm HFC Type GWP Source R-23 11,700 R-41 150 R-123 120 R-125 2,800 R-134 1,000 R-134a 1,300 R-143 300 Calculating HFC and PFC Emissions from the Manufacturing, Servicing, and/or Disposal R-143a 3,800 of Refrigeration and Air-Conditioning Equipment. Calculation Worksheets. Version 1.0. R-152a 140 GWPs draw from Intergovernmental Panel on Climate Change, Second Assessment R-227ea 2,900 Report R-236fa 6,300 http://www.ipcc.ch/ipccreports/assessments-reports.htm R-245ca 560 R-R407c 1,526 HFC- 1,300 4310mee R-404a 3,260 R-410a 1,725 R-227ea 3,500 PFC Type GWP Source PFC-14 6,500 PFC-116 9,200 Calculating HFC and PFC Emissions from the Manufacturing, Servicing, and/or Disposal PFC-218 7,000 of Refrigeration and Air-Conditioning Equipment. Calculation Worksheets. Version 1.0. GWPs draw from Intergovernmental Panel on Climate Change, Second Assessment PFC-3-1-10 7,000 Report PFC-c318 8,700 http://www.ipcc.ch/ipccreports/assessments-reports.htm PFC-4-1-12 7,500 PFC-5-1-14 7,400 Vehicle Refrigerant Charge Factors Vehicle Charge Source Type Factor (kg) Passenger 0.8 Car EPA Refrigerant Guidance, 2004, Table 2 Light Truck 1.2 Aircraft 6.4 Cooling Factor Region Ft2 per Source cooling ton USA 500 Cooling intensity for region per Dan Sobrinski, WSP Energy and Environment 29 | P a g e The World Bank Group FY15 GHG Inventory Management Plan APPENDIX C: MOBILE FUEL EMISSION FACTORS CO2-equivalent Emission Factors Fuel type CO2 Units Source Gasoline 0.002327152 tCO2eq/l Gasoline 0.008809225 tCO2eq/gal WRI. CO2 Emissions from Business Travel. Version 2.0. Diesel 0.002699055 tCO2eq/l http://www.eia.doe.gov/oiaf/1605/techassist.htm Diesel 0.010217028 tCO2eq/gal l LPG 0.001499790 tCO2eq/l LPG 0.005677320 tCO2eq/gal N2O, CH4 Emission Factors – Used for Country Offices Fuel CH4 N2O CH4 N2 O Vehicle Type Type kg/gal kg/gal kg/l kg/l Gasolin 0.000330 0.000177 0.0000873 Passenger Car - Gasoline - e 75 75 7 0.0000469 Year 2005-present 2.90621E- Passenger Car - Diesel - Year Diesel 0.000011 0.000022 06 5.81242E-06 1983-present 0.000599 0.001085 LPG 4 4 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 N2O 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- passenger- passenger- passenger- /passenger mile 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 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 0.163 163.00 0.004 0.002 163.704 Subways) 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 Gasoline 1996 0.0426 0.0272 1997 0.0422 0.0268 1998 0.0393 0.0249 1999 0.0337 0.0216 30 | P a g e The World Bank Group FY15 GHG Inventory Management Plan N2O, CH4 Emission Factors – Used in U.S. Only Vehicle Type Fuel Type N2O CH4 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 1995 0.0908 0.0517 1996 0.0871 0.0452 1997 0.0871 0.0452 1998 0.0728 0.0391 Gasoline 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 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 Diesel g/mi g/mi 1960–1982 0.0017 0.0011 1983–1995 0.0014 0.0009 1996–2004 0.0015 0.001 Heavy-duty Vehicles g/mi g/mi 31 | P a g e The World Bank Group FY15 GHG Inventory Management Plan N2O, CH4 Emission Factors – Used in U.S. Only Vehicle Type Fuel Type N2O CH4 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 32 | P a g e The World Bank Group FY15 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 "CO2 Emissions from Fuel Combustion - Highlights (2013 Edition)", IEA, Paris, unless otherwise noted. 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 N2O/ Region MWh MWh MWh Source Notes 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 Estimate' factors from Source: National Greenhouse Gas Accounts (NGA) Factors, July, 2013. "Table 41: Scope 2 and 3 emissions factors - consumption of purchased electricity by end users--EF for Scope Australia - New South 2 (column A)" - Wales 1,895.9732 0.022 0.028 New 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 33 | P a g e The World Bank Group FY15 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.mct.go v.br/index.php/con tent/view/321144. html#ancora (Year 2015 Annual Brazil 274 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 34 | P a g e The World Bank Group FY15 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://noonumeemu.blogspot. com/2012/06/grid-emission- Maldives 1,587 0.037 0.043 factors-gef-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 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 Ukraine 992 0.023 0.022 United Arab Emirates 1,323 0.027 0.003 35 | P a g e The World Bank Group FY15 GHG Inventory Management Plan UK: 2013 Guidelines to Defra / DECC's GHG Conversion Factors for Company Reporting. Year 2011 Factors, For Electricity United Kingdom 1,211 0.000 0.000 CONSUMED United States - New York 696.70 0.026 0.003 Year 2012 eGRID Subregion NYCW United States - District Subregion Emission of Columbia 858.56 0.026 0.011 Factors (Source: Subregion RFCE United States - Tenth Edition with Maryland 858.56 0.026 0.011 year 2012 data, Subregion RFCE United States - Version 1.0, Pennsylvania 858.56 0.026 0.011 Released Subregion RFCE United States - Virginia 932.87 0.024 0.015 10/08/2015) 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 Emssion 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 Emissions from CO2 Republic 1,162 0.021 0.016 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 - Highlights (2013 Gambia, The 1,162 0.021 0.016 Other Africa Edition)", IEA, Paris. Guinea 1,162 0.021 0.016 See Other Africa Guinea-Bissau 1,162 0.021 0.016 http://www.iea.org Other Africa /co2highlights/. Other non-OECD Guyana 626 0.011 0.008 Category used in Americas Kiribati 694 0.012 0.009 table found in Other Asia Lao P.D.R. 694 0.012 0.009 column to the right. Other Asia Lesotho 1,162 0.021 0.016 N2O and CH4 Other Africa Liberia 1,162 0.021 0.016 factors calculated Other Africa Madagascar 1,162 0.021 0.016 by taking US Other Africa Malawi 1,162 0.021 0.016 Average from Other Africa 36 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Mali 1,162 0.021 0.016 Egrid2012 V 1.0, Other Africa Mauritania 1,162 0.021 0.016 May 2012 ratio of Other Africa CH4 and N2O emission factor to CO2 (See cells A30:C32), then multiplying ratios by CO2 emission factor for each respective GHG. Mauritius 1,162 0.021 0.016 Other Africa 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 West Bank and Gaza 1,603 0.030 0.023 Israel CO2 Emssion 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 "CO2 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 CO lb lb 2/ CH4 N2O M / / W MW MW Region h h h Source Notes 0.00 0.00 Albania 15 6 1 1,2 0.03 0.00 Algeria 26 3 4 86 0.03 0.00 Angola 0 0 6 86 0.01 0.00 Argentina 0 3 2 27 0.02 0.00 Armenia 1 1 2 37 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Australia: 'Latest Estimate' factors from Source: National Greenho use Gas Accounts (NGA) Factors, July, 2013. "Table 41: Scope 2 and 3 emission s factors - consump tion of purchase d electricit y by end users--EF for Scope 2 (column A)" - New 1,9 0.02 0.02 South Australia - New South Wales 18 2 8 Wales 47 0.00 0.00 Austria 4 8 5 1,0 0.08 0.01 Azerbaijan 03 7 6 1,2 0.05 0.00 Bangladesh 43 2 6 97 0.05 0.00 Belarus 2 4 7 43 0.00 0.00 Belgium 2 9 6 1,5 0.02 0.02 Benin 92 2 1 95 0.01 0.00 Bolivia 5 6 3 2,1 0.02 0.03 Bosnia-Herzegovina 47 4 4 3,9 0.02 0.02 Botswana 40 2 1 38 | P a g e The World Bank Group FY15 GHG Inventory Management Plan CO2 Emis sion Factors for uses that need Brazil’s National Interconn ected System’s average emission factor, such as corporat e inventori es - Arquivos dos Fatores de Emissão: http://w ww.mct.g ov.br/ind ex.php/c ontent/vi ew/3174 02.html# ancora (Year 2012 Annual 14 0.00 0.00 Average Brazil 4 6 2 Factor) 1,3 0.02 0.03 Bulgaria 03 4 0 1,7 0.04 0.01 Cambodia 48 9 5 44 0.00 0.00 Cameroon 1 2 0 1,6 0.03 0.04 China 84 2 1 23 0.00 0.00 Colombia 8 6 4 96 0.02 0.00 Côte d'Ivoire 3 2 2 73 0.02 0.02 Croatia 6 9 9 0.00 0.00 Democratic Republic of Congo 7 0 0 39 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 1,6 0.09 0.02 Dominican Republic 38 8 3 76 0.03 0.00 Ecuador 1 4 7 1,0 0.03 0.00 Egypt 08 0 4 53 0.03 0.00 El Salvador 6 9 8 1,8 0.08 0.01 Eritrea 72 5 7 0.00 0.00 Ethiopia 15 1 0 13 0.00 0.00 France 4 3 2 83 0.02 0.00 Gabon 3 2 4 22 0.00 0.00 Georgia 5 9 1 1,0 0.01 0.01 Germany 52 4 7 47 0.01 0.00 Ghana 4 5 3 63 0.04 0.01 Guatemala 1 6 3 84 0.07 0.01 Haiti 2 5 5 81 0.03 0.00 Honduras 8 7 7 1,8 0.03 0.04 India 87 7 3 1,6 0.04 0.01 Indonesia 64 5 9 1,2 0.04 0.00 Iran 74 1 6 1,9 0.08 0.01 Iraq 91 4 7 88 0.03 0.01 Italy 6 9 1 1,3 0.08 0.01 Jamaica 67 2 6 1,0 0.01 0.01 Japan 96 9 0 1,4 0.08 0.01 Jordan 04 4 7 95 0.04 0.04 Kazakhstan 0 2 7 64 0.03 0.00 Kenya 8 0 6 2,4 0.01 0.01 Kosovo 45 5 1 1,7 0.07 0.01 Kuwait 35 3 4 40 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 0.00 0.00 Kyrgyz Republic 99 5 4 1,5 0.08 0.01 Lebanon 59 8 8 1,7 0.04 0.05 Macedonia 88 0 4 99 0.03 0.00 Mexico 2 7 5 1,0 0.02 0.02 Moldova 71 9 9 1,8 0.04 0.01 Mongolia 45 9 5 1,4 0.02 0.04 Montenegro 40 8 0 1,6 0.04 0.03 Morocco 07 1 2 0.02 0.02 Mozambique 2 2 1 0.00 0.00 Nepal 2 2 0 1,0 0.09 0.01 Nicaragua 38 3 9 95 0.03 0.00 Nigeria 5 2 4 90 0.07 0.01 Pakistan 2 0 2 78 0.03 0.00 Panama 7 6 7 0.00 0.00 Paraguay 0 0 0 65 0.01 0.00 Peru 5 2 3 1,0 0.03 0.01 Philippines 85 4 7 1,7 0.02 0.03 Poland 20 4 4 50 0.02 0.02 Republic of Congo 7 2 1 1,1 0.03 0.02 Romania 00 2 5 96 0.03 0.01 Russian Federation 3 0 5 1,1 0.02 0.01 Rwanda 62 1 6 1,6 0.05 0.01 Saudi Arabia 62 9 1 1,5 0.08 0.01 Senegal 19 4 7 1,7 0.02 0.04 Serbia-Montenegro 28 8 0 1,1 0.08 0.01 Singapore 02 8 6 41 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 44 0.00 0.00 Slovak Republic 1 8 7 1,9 0.02 0.03 South Africa 16 4 6 1,0 0.06 0.01 Sri Lanka 34 0 2 45 0.04 0.00 Sudan 0 3 9 0.00 0.00 Switzerland 66 1 0 0.00 0.00 Tajikistan 26 1 0 63 0.00 0.00 Tanzania 5 6 2 1,1 0.04 0.01 Thailand 51 3 1 45 0.02 0.02 Togo 4 2 1 1,1 0.01 0.00 Trinidad and Tobago 16 8 2 1,0 0.03 0.00 Tunisia 03 5 4 1,0 0.02 0.01 Turkey 41 5 4 2,1 0.04 0.00 Turkmenistan 67 3 4 63 0.00 0.00 Uganda 5 6 2 99 0.02 0.02 Ukraine 2 3 2 1,3 0.02 0.00 United Arab Emirates 23 7 3 UK: 2013 Guideline s to Defra / DECC's GHG Conversi on Factors for Company Reportin g. Year 2011 Factors, For Electricit y 1,0 0.00 0.02 CONSUM United Kingdom 59 0 1 ED 622 0.02 0.00 Year Subregion United States - New York .42 4 3 2010 NYCW 42 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 1,0 eGRID 01. 0.01 0.02 Subregion Subregio United States - District of Columbia 72 8 5 RFCE n 1,0 01. 0.01 0.02 Emission Subregion United States - Maryland 72 8 5 Factors RFCE 1,0 (Source: 01. 0.01 0.02 Ninth Subregion United States - Pennsylvania 72 8 5 Edition RFCE with year 2010 data, Version 1.0, 1,0 Released 73. 0.02 0.01 2/24/201 Subregion United States - Virginia 65 2 7 4) SRVC 43 0.00 0.00 Uruguay 4 6 1 1,2 0.04 0.00 Uzbekistan 32 4 8 51 0.01 0.00 Venezuela 6 4 2 94 0.02 0.00 Vietnam 6 9 9 1,3 0.11 0.02 Yemen 96 4 3 0.00 0.00 Zambia 7 0 0 78 0.02 0.02 Zimbabwe 9 2 1 CO2 Middle 1,4 0.03 0.02 Emssion East Afghanistan 86 0 3 Factors Average 69 0.01 0.00 from Bhutan 4 2 9 Year Other Asia 1,1 0.02 0.01 2011 Other Burkina Faso 62 1 6 factors Africa 1,1 0.02 0.01 from Other Burundi 62 1 6 table Africa 1,1 0.02 0.01 "CO2 Other Central African Republic 62 1 6 Emissions Africa 1,1 0.02 0.01 from CO2 Other Chad 62 1 6 emission Africa s per kWh from electricit y 1,1 0.02 0.01 generatio Other Gambia, The 62 1 6 n", page Africa 1,1 0.02 0.01 110, an Other Guinea 62 1 6 excerpt Africa 43 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 1,1 0.02 0.01 from the Other Guinea-Bissau 62 1 6 IEA Africa documen Other non- 62 0.01 0.00 t "CO2 OECD Guyana 6 1 8 Emissions Americas 69 0.01 0.00 from Fuel Lao P.D.R. 4 2 9 Combusti Other Asia 1,1 0.02 0.01 on - Other Lesotho 62 1 6 Highlight Africa 1,1 0.02 0.01 s (2013 Other Liberia 62 1 6 Edition)", Africa 1,1 0.02 0.01 IEA, Other Madagascar 62 1 6 Paris. Africa 1,1 0.02 0.01 See Other Malawi 62 1 6 http://w Africa 1,1 0.02 0.01 ww.iea.o Other Mali 62 1 6 rg/co2hig Africa 1,1 0.02 0.01 hlights/. Other Mauritania 62 1 6 Category Africa used in table found in column to the right. N2O and 1,1 0.02 0.01 CH4 Other Mauritius 62 1 6 factors Africa 1,1 0.02 0.01 calculate Other Niger 62 1 6 d by Africa 69 0.04 0.01 taking US Papua New Guinea 4 5 9 Average Other Asia 69 0.01 0.00 from Samoa 4 2 9 Egrid201 Other Asia 1,1 0.02 0.01 2 V 1.0, Other Sierra Leone 62 1 6 May Africa 69 0.01 0.00 2012 Solomon Islands 4 2 9 ratio of Other Asia 45 0.04 0.00 CH4 and South Sudan 0 3 9 N2O Sudan 69 0.01 0.00 emission Timor Leste 4 2 9 factor to Other Asia 69 0.01 0.00 CO2 (See Vanuatu 4 2 9 cells Other Asia A30:C32), then multiplyi ng ratios by CO2 emission 1,6 0.03 0.02 factor for West Bank and Gaza 03 0 3 each Israel 44 | P a g e The World Bank Group FY15 GHG Inventory Management Plan respectiv e GHG. APPENDIX E: AIR TRAVEL EMISSIONS FACTORS Air Travel Emission Factors kgCO2 gCH4/ / gN2O/ passen passe passenger- Source ger- Trip Flight nger- mile kgCO2eq / mile Type Length† mile passenger-mile Short <300 0.286 0.0083 0.0091 0.289 Source: 2011 Guidelines Haul miles to Defra / DECC's GHG 300– Conversion Factors for Medium 2,300 0.168 0.0008 0.0053 0.170 Company Reporting. Haul miles Version 1.0 FINAL Long >2,300 updated July 2011 0.193 0.0008 0.0062 0.195 Haul miles Total kg of emissions from known distance Unknown N/A 0.1902 flights divided by total Distance passenger-miles from known flights †Flight length determined from UK Defra “Guidelines to Defra/DECC’s GHG Conversion Factors for Company Reporting” Updated June, 2010. See Annex 6 “Passenger Transport Conversion Tables”, footnote 14. http://www.defra.gov.uk/environment/business/reporting/pdf/101006-guidelines-ghg-conversion- factors.pdf APPENDIX F: WORLD BANK GROUP FY 14 MASTER LOCATION LIST World Bank Offices Region Country City Address Sub-saharan Africa (AFR) Angola Luanda No. 23-25, Maculusso Route de l'Aeroport, Avenue Jean-Paul II Face Hotel Marina Benin Cotonou ex-Sheraton Time Square, Plot 134, Botswana Gaborone Independence Ave 179, Avenue du President Saye Burkina Faso Ouagadougou Zerbo Burundi Bujumbura Avenue de l'Aviation, Rohero 1 Cameroon Yaoundé Nouvelle Route Bastos rue 1.767 Central African Republic Bangui rue des Missions 45 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Avenue Charles de Gaulle et Avenue Mahamat Ali Younousmi Chad N'Djamena Jackson Cocody - Angle des rues Booker Côte d'Ivoire Abidjan Washington and Jacques Aka 49, Boulevard Tshatshi, Kinshasa- Democratic Republic of Congo Kinshasa Gombe Africa Avenue (Bole Road) Wello Sefer Kirkos Sub City Wereda 02 Ethiopia Addis Ababa House No. 676 Quartier: Derrière le Palais de Gabon Libreville Justice, P.O. Box 4027 c-o UN House, Koffi Annan Gambia, The Banjul Street, Cape Point No. 3, Independence Avenue, Ghana Accra Accra Immeuble de l'Archeveche, Face Guinea Conakry Baie des Anges Av. Francisco Mendes, C.P 214, Guinea-Bissau Bissau Bissau Codex 1124 Delta Center Building Menengai Kenya Nairobi Road, Upper Hill. UN House, 13 United Nations Lesotho Maseru Road German Embassy Compound, Liberia Monrovia Congo Town Rue Andriamifidy L. Madagascar Antananarivo Razafimanantsoa, Anosy Mulanje House, Plot 13-57 Off Malawi Lilongwe Presidential Way, City Centre AVENUE DU MALI, IMMEUBLE WALY DIAWARA; HAMDALLAYE Mali Bamako ACI -2000 Mauritania Nouakchott Lot N. 02 F Nord Liaison Ksar 3rd Floor Médine Mews, Mauritius Port-Louis Chaussee Street Mozambique Maputo Avenue Kenneth Kaunda, 1224 Niger Niamey 187, rue des Dallols 102, Yakubu Gowon Crescent, Nigeria Abuja Asokoro District Immeuble BDEAC, 2è étage, Republic of Congo Brazzaville Boulevard Denis Sassou Nguesso Blvd. de la Revolution, SORAS Rwanda Kigali building Senegal Dakar Corniche Ouest X, David Diop Africanus House, 13A Howe Sierra Leone Freetown Street 442 Rodericks Road, Corner South Africa Pretoria Lynnwood and Rodericks Roads 46 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Ministry Complex, Kololo Road, South Sudan Juba Adjacent to Ministry of Health Plot 39, Street 39, Khartoum East Sudan Khartoum (II) Tanzania Dar-es-Salaam 50 Mirambo St Cite de l'OUA (entre la Residence Ambassadeur du Ghana et la Togo Lomé Primature) Plot 1, Lumumba Ave, Rwenzori House, 1st, 4th, 5th, and 6th Uganda Kampala floors BancABC, 746B, Church Road, Zambia Lusaka Cathedral Hill, Lusaka Zimbabwe Harare 88 Nelson Mandela Avenue Block 3, Arundel Business Park 107 Norfolk Road, Mount Zimbabwe Harare Pleasant East Asia and the Pacific (EAP) Level 19, 14 Martin Place, CML Australia Sydney Building Cambodia Phnom Penh 113 Norodom Boulevard China Beijing 16th Floor, China World Tower 2 Indonesia Stock Exchange Bldg, Indonesia Jakarta Tower 2, 12th Floor Indonesia Jakarta PSF Jakarta Office c-o KAP House, Bairiki, Tarawa Kirabati Tarawa PO Box 13 Lao P.D.R. Vientiane Pathou Xay - Nehru Road 5th Floor, MCS Plaza Building, Mongolia Ulaanbaatar Seoul Street-4 No.57, Pyay Road, Corner of Shwe Hinthar Street 6 ½ miles, Myanmar Yangon Hlaing Township Level 13, Deloitte Tower, P.O. Papua New Guinea Port Moresby Box 1877 26th Floor, One Global Place, 5th Philippines Manila Avenue corner 25th street Level 6, Central Bank Building, Samoa Apia Beach Road 10 Marina Boulevard, Marina Bay Singapore Singapore Financial Center, Tower 2, #34-02 Solomon Islands Honiara Mud Alley PO Box 1744 30th Floor, Siam Tower, 989 Thailand Bangkok Rama 1 Road Timor-Leste Dili Avenida Dos Direitos Humanos The World Bank Group & ADB Vanuatu Port Vila Level 5, Reserve Bank Building, Vietnam Hanoi 63 Ly Thai To, 8th Floor 47 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Europe and Central Asia (ECA) Ibrahim Rugova Street, Vila No Albania Tirana 34, 9 Grigor Lusavorich Street, 6th Armenia Yerevan Floor Austria Vienna Praterstrasse 31 - 19-21 90A Nizami street, The Landmark Azerbaijan Baku III Business Center, 5th Floor Belarus Minsk 2A Gertsen Street, 2nd Floor UNITIC Tower B, Fra Andjela Bosnia-Herzegovina Sarajevo Zvizdovica 1 36 Dragon Tsankov Blvd. Block A, Bulgaria Sofia 5th Floor Croatia Zagreb Radnicka cesta 80-IX Georgia Tbilisi 5A, Nino Ramishvili Street Kazakhstan Almaty 41-A Kazybek bi Street, 4th Floor 12 Samal Microdistrict, 14th Kazakhstan Astana Floor Kosovo Pristina Rruga Prishtinë Fushë-Kosovë Kyrgyz Republic Bishkek 214, Moskovskaya Str. Macedonia Skopje 34 Leninova Street Moldova Chisinau 20-1, Pushkin St Montenegro Podgorica Bul. Sv. Petra Cetinjskog br. 53, Emilii Plater St, Warsaw Poland Warsaw Financial Center, 9th Floor U T I Building, 6th Floor, 31 Vasile Romania Bucharest Lascar str. Russian Federation Moscow Bolshaya Molchanovka 36-1 Serbia Belgrade Bulevar Kralja Aleksandra 86-90 48 Aini Str. Business Center Tajikistan Dushanbe "Sozidanie", block A, 3rd Floor Ugur Mumcu Caddesi No. 88, Turkey Ankara Kat: 2 Yimpash Business Center, Office Turkmenistan Ashgabat 803, Turkmenbashi Avenue, 54 Ukraine Kyiv 1, Dniprovsky Uzviz Uzbekistan Tashkent 107 B, Amir Timur str. Latin America and the Caribbean (LAC) Bouchard 547, 28th and 29th Argentina Buenos Aires Floors Edificio Victor, piso 9, Calle Fernando Guachalla #342 - Bolivia La Paz Sopocachi Setor Comercial Norte Quadra Brazil Brasilia 02, Lote A- Edificio Carrera 7 No.71-21, Torre A, piso Colombia Bogota 16 48 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Avda. Lope de Vega #29 Torre Dominican Republic Santo Domingo Novo Centro, piso 10 Calle 12 de Octubre 1830 y Ecuador Quito Cordero Edificio Torre Futura Nivel 9, El Salvador El Salvador oficinas 904-905, Colonia Escalon 13 Calle 3-40, Zona 10, Edificio Guatemala Guatemala City Atlantis, Piso 14 87 Carmichael Street, South Guyana Georgetown Cummingsburg Haiti Petion-Ville 7, rue Oge Edificio Corporativo 777, 9 Piso, Lomas del Guijarro Sur, Honduras Tegucigalpa Boulevard San Juan Bosco Jamaica Kingston 6 St. Lucia Avenue Mexico Mexico Insurgentes Sur 1605, Piso 24 Edificio Cobirsa 5to Piso, Km 6.5 Nicaragua Managua Carretera a Masaya Avenida Aquilino De La Guardia y Panama Panama Calle 47 Espana 2028 c/Braslia Urano Paraguay Asuncion Building, 5th Floor Avenida Alvarez Calderon 185, Peru Lima Piso 7, SanIsidro Uruguay Montevideo Calle Buenos Aires 570, Piso 3 Middle East and North Africa (MNA) 5 bis, Chemin Mackley, Ben Algeria Algiers Aknoun 16306 1191 Corniche El-Nil, 15th Floor, Egypt Cairo Boulaq International Zone, British Iraq Baghdad Embassy premises 10th Commercial Area, Block 10, Kuwait Safar Sahat Al-Safat Street Abdallah Bayhum Str., Bourie Lebanon Beirut Bldg, N 119, Marfaa - Downtown Morocco Rabat-Souissi 7 - Rue Larbi Ben Abdellah 1st Floor, UNDP Building, Saudi Arabia Riyadh Diplomatic Quarter Immeuble Zahrabed, Jardins du Tunisia Tunis Lac West Bank and Gaza Jerusalem P.O Box 54842 Other Belgium Brussels Avenue Marnix 17, 2nd floor France Paris 66 avenue d'Iena Germany Berlin Reichpietschufer 20 No: 11, Taramani Main Road, India Chennai Taramani 49 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Italy Rome Via Labicana 110 10th Floor, Fukoku Seimei Building, 2-2-2 Uchisaiwai-cho, Japan Tokyo Chiyoda-ku 3, chemin Louis-Dunant, Case Switzerland Geneva Postale 66 12th Floor, Millbank Tower, 21- United Kingdom London 24, Millbank South Asia (SAR) Street No. 15, House No. 19, Afghanistan Kabul opposite Palace #8 Plot E-32, Agargaon, Sher-e- Bangladesh Dhaka Bangla Nagar, Dhaka 1207 Lower Nozir Lam, BDFC Bhutan Thimphu Building,Norzam Lam,Chubabu India New Delhi 70 Lodhi Estate The Hindustan Times House, 18- 20 Kasturba Gandhi Marg, New India New Delhi Delhi 11000 9th Floor, Edhuruhiya Building, Maldives Male Falhumathee Magu, Yak & Yeti Hotel Complex, Durbar Nepal Kathmandu Marg Pakistan Islamabad 20 A Shahrah-e-Jamhuriyat 1st Floor, DFCC Building, 73-5 Sri Lanka Colombo Galle Road United States United States District of Columbia P Building - 900 19th St NW United States District of Columbia G Building - 1776 G St NW United States District of Columbia U Building - 1800 G St NW M Building - 1900 Pennsylvania United States District of Columbia Ave NW (IMF - 9th Floor) United States Maryland LSC - 3301 Pennsy Dr United States Virginia BCC - Chantilly United States Virginia Warehouse - Sterling United States District of Columbia I - 1850 I St NW United States District of Columbia J - 701 18th St NW United States District of Columbia C - 1225 Connecticut Ave NW United States District of Columbia MC - 1818 H St NW NYC - 1 Dag Hammarskjold Plaza, United States New York 885 2nd Avenue, 26th Floor United States Pennsylvania Archives - outside Pittsburgh IFC Offices Region Country City Address 50 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Sub-Saharan Africa (CAF) Burkina Faso Ouagadougou Banque Mondiale Burkina Faso, 01 BP: 622 Ouagadougou 01 Burundi Bujumbura Banque Mondiale, Avenue de L'Aviation, Rohero 1 Cameroon Douala 96 Rue Flatters, Suite 305 Chad N'Djamena Avenue Charles de Gaulle, at Avenue du Commandant Lamy, Quartier Bololo Côte d'Ivoire Abidjan Immeuble Banque Mondiale, Cocody, Angle des rues Jacques Aka et Booker Washington, 01 BP 1850 Abidjan01 Democratic Republic of Congo Kinshasa 4847. Avenue Wagenia Ethiopia Addis Ababa Addis Ababa, Africa Avenue, Bole Road PO Box 5515 Ghana Accra No. 3, Independence Avenue (IFC), Accra Guinea Conakry Immueble de L'Archeveche, Face Baie des Anges Kenya Nairobi Delta Center Menengai Road, Upper Hill PO Box 30557-00100, Liberia Monrovia The Villa Sangai, Sophie Community, Congo Town, Tubman Blvd. Madagascar Antananarivo Anosy, Rue Andriamifidy L. Razafimanantsoa Mali Bamako Boite Postale 1864 Mozambique Maputo Jose Craveirinha Street # 160, Caixa Postal 4053 Nigeria Lagos Maersk House, Plot 121, Louis Solomon Close, Victoria Island Rwanda Kigali Immeuble Soras, Boulevard de la Revolution, Parcelle no 4522 Senegal Dakar Bureau regional IFC Dakar Rue Aimé Césaire x Impasse FN 18 prolongee Fann Residence Sierra Leone Freetown Bishop Building, 1st Floor, 13 Lamina Sankoh Street South Africa Johannesburg No. 14 Fricker Road, Illovo Boulevard, Illovo, 2196 South Africa Johannesburg No. 4 Fricker Road, Illovo Boulevard, Illovo, 2196 South Sudan Juba The World Bank Office, Government's Ministry Complex, Kololo Road Tanzania Dar-es-Saleem 50 Mirambo Street Uganda Kampala 1 Lumumba Ave, & 4,Nakasero Rd, Zambia Lusaka Pyramid Plaza Building, Plot 746 Church Road, 2nd Floor East Asia & the Pacific (CEA) Australia Sydney Level 18, CML Building, 14 Martin Place Cambodia Phnom Penh #70, Norodom Blvd, Sangkat Chey Chumnas, PO BOX 1115 China Beijing 1501, China World Tower 2, No. 1, Jian Guo Men Wai Ave. China Hong Kong 14-F, One Pacific Place, 88 Queensway, Admiralty 51 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Indonesia Jakarta Jakarta Stock Exchange Building Tower 2, 9th floor Jl. Jend. Sudirman Kav 52-53 Lao P.D.R. Vientiane 90 Phone Xay Road, P.O.Box 9690 Mongolia Ulaanbaatar MCS Plaza Building, 4th floor, Seoul Street Myanmar Yangon 57 Pyay Road, Hlaing Township,, Yangon Papua New Guinea Port Moresby Level 13, Deloitte Tower, Douglas Street Singapore Singapore World Bank Office 10 Marina boulevard Marina Bay Financial Center, Tower 2 #34 -02, Postcode 018389, Solomon Islands Honiara Mud Alley Thailand Bangkok 28th and 30th Floor, Siam Tower, 989 Rama 1 Road, Pathumwan Timor Leste Dili Rua Dos Direitos Humanos Vanuatu Port Vila IFC Vanuatu Office, Level 4, Reserve Bank of Vanuatu Building, C/O Asian Development Bank, PO Box 3221 Vietnam Hanoi 3rd Floor, 63 Ly Thai To Street Vietnam Ho Chi Minh City Mekong Project Development Facility (MPDF) Unit 3B, 3rd Floor, Regency Chancellor Court, 21-23 Nguyen Thi Minh Khai Street, District 1 Philippines Manila 2301 & 2201 One Global Place, 5th Avenue - Corner 25th Street, Bonifacio Global City Central & Eastern Europe (CEU) Albania Tirana Advisory Services (PSD), Deshmoret e 4 Shkurtit, Sky Tower 8-1 Albania Tirana Deshmoret e 4 Shkurit, No. 34 Armenia Yerevan 9, G.Louisavorich Street Azerbaijan Baku 90A Nizami street, The Landmark III Business Center, 3rd Floor Belarus Minsk 4th floor, 6a, Partizansky Prospekt Bosnia-Herzegovina Sarajevo IFC, Zmaja od Bosne bb (RBBH-Building B/III) Bulgaria Sofia World Trade Center 36, 36 Dragan Tsankov Blvd. Croatia Zagreb Radnicka cesta , 9th Floor, HR-100000 Georgia Tbilisi 5B, Nino Ramishvili Street Kazakhstan Almaty 41-A Kazybek Bi street, 1st and 3d Floor Kosovo Pristina Str. Muje Ulqinaku, Nr. 3, 10.000 Kyrgyz Republic Bishkek 21, Erkindik Boulevard, Bishkek 720040, Kyrgyz Republic. Macedonia Skopje Vojvoda Vasil Adzilarski, b.b.; Business Center Soravia III Floor Moldova Chisinau 20-1, Pushkin St Poland Warsaw 53 Emilii Plater Street, 9th Floor Romania Bucharest 31, Vasile Lascar Str. 52 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Russian Federation Moscow 36 Bolshaya Molchanovka Street, Bld. 1, 3rd Floor Serbia-Montenegro Belgrade st:Bulevar kralja Aleksandra 86-90, 3rd and 4th floor Tajikistan Dushanbe 7 Abdullo Komandir Street Turkey Istanbul Buyukdere Cad. No: 185, Kanyon Ofis Blogu Kat 19, Levent Ukraine Kiev 1 Dniprovskyj Uzviz, 3rd floor Kyiv 01010, Ukraine Uzbekistan Tashkent PEP, 107 B Amir Timur Street, 14th and 15th Floor Latin America & the Caribbean (CLA) Argentina Buenos Aires Edificio Bouchard Plaza, Bouchard 557, 11th. Floor Bolivia La Paz Fernando Guachalla, No. 342, Piso 8, Edificio Victor Brazil Rio De Janeiro Rua Redentor, 14, Ipanema Brazil Sao Paulo Edificio Torre Sul - , Rua James Joule No. 65 - 17th, 18th and 19th floors - Cidade Monções - Colombia Bogota Cra. 7 No. 71-21 Torre A Piso 14 Dominican Republic Santo Domingo Ave. Lope de Vega #29,Torre Novocentro, 10th Floor, Ensanche Naco El Salvador San Salvador Edificio Torre Futura 90 nivel, Locales 904-905, Calle El Mirador y 87 Avenida Norte, Col. Escalon Guatemala Guatemala City 13 Calle 3-40 zona 10 Edificio Atlantis Niv. 14 Haiti Port-au-Prince 7, Rue Ogé, Pétion-Ville Honduras Tegucigalpa Centro Financiero UNO, 4to Piso, Boulevard San Juan Bosco, Colonial Payagui, Apartado Postal 3591, Tegucigalpa, Honduras Jamaica Kingston Courtleigh Corporate Centre, 6 St. Lucia Avenue, 3rd Floor Mexico Mexico City Montes Urales 715, 5th floor. Col. Lomas de Chapultepec, CP 11000 Nicaragua Managua Plaza Santo Domingo, Km. 6.5 Carretera a Masaya Edificio COBIRSA 2, 5to Piso Panama City Panama N° 2105, NIVEL 2100, Building PH Ocean Business Plaza, Calle Aquilino de la Guardia and Calle 47, Urbanización Marbella Peru Lima Edificio Punta del Este, Avenida Miguel Dasso 104 - San Isidro, 3rd., 4th and 5th floors. Trinidad and Tobago Port of Spain 5th floor, Newtown Centre, 30-36 Maraval Road, newtown Middle East & North Africa (CME) Afghanistan Kabul The World Bank, Street no. 15, House No. 19, Opposite Palace # 8, Waxir Akbar Khan Iraq Baghdad World Bank Iraq, British Embassy Premises Jordan Amman Ahmed Orabi Street, Building 38, Shimeisani, P.O. Box 930375 Lebanon Beirut Marfaa 119, Abdallah Bayhum Street, Bourie House Building, P O Box 11 - 8577 Morocco Rabat 7, rue Larbi Ben Abdellah Pakistan Islamabad 20-A, Shahrah-e-Jamhuriat, Ramna 5 (G-5-1) 53 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Pakistan Karachi 6th Floor, Bahria Complex-III, M.T. Khan Road, Karachi Saudi Arabia Riyadh Diplomatic Quarter, United Nations Building, P.O. Box 5900 Tunisia Tunis Immeuble Le Boulevard 3eme etage - Blocs A, B et C Les Berges du Lac II Tunis 1053 West Bank and Gaza Gaza PEP-MENA, P.O. Box 54842, West Bank & Gaza, Dahiet Al Barid, Near Rosary Sisters Convent, Jerusalem Yemen Sanaa Off Beirut Street, Behind Sosowa Petrol Station Egypt Cario PEP-MENA, Nile City Towers North Tower, 24th Floor & 25th Floor, 2005C, Corniche El Nil, Ramlet Boulac United Arab Emirates Dubai Level 5 & 10, West side, The Gate, D.I.F.C South Asia (CSA) Bangladesh Dhaka United House, 10 Gulshan Avenue, Gulshan 1 Bhutan Thimphu Lower Nozir Lam, BDFC Building,Norzam Lam,Chubabu India Mumbai Vibgyor Towers, 2nd and 6th Floor, G Block, C-62 Bandra Kurla Complex, Bandra East, Mumbai 400 051 India New Delhi Maruti Suzuki Building, 3 & 4th floor, Plot No. 1 Nelson Mandela Road, Vasant Kunj Nepal Kathmandu Yak and Yeti Complex , Durbar Marg Sri Lanka Colombo 15th Floor, DHPL Building, 42 Navam Mawatha Part 1 Countries Austria Vienna IFC CO - Investment Climate Dept, Galaxy 21, Praterstrasse 31- Flr 18, A-1020 The World Bank Group, Belgium Brussles Avenue Marnix, 17 France Paris 66, avenue d'Iéna Germany Frankfurt Bockenheimer Landstrasse 43 Japan Tokyo 10th Floor, Fokoku Seimei Building, 2-2-2 Uchisaiwai-cho, Chiyoda-Ku United Kingdom London 12th Floor Millbank Tower, 21-24 Millbank United States United States District of Columbia 2121 Pennsylvania Avenue, NW 54 | P a g e The World Bank Group FY15 GHG Inventory Management Plan APPENDIX G: CREDIT360 COUNTRY OFFICE SURVEY SCREENSHOTS Figure 13. Credit360 Landing Page Figure 14. Credit360 Energy Information Tab 55 | P a g e The World Bank Group FY15 GHG Inventory Management Plan Figure 15. Credit360 Stationary Combustion Data Entry APPENDIX H: IMFC COUNTRIES NOT INCLUDED IN WORLD BANK GROUP ANNUAL AND SPRING MEETING INVENTORY (ACCOUNTED FOR BY IMF) Algeria Australia Belgium Brazil Canada Chile China France Gabon Germany India Italy Japan Netherlands Nigeria Norway Russia Saudi Arabia Spain Switzerland Thailand United Arab Emirates United Kingdom United States 56 | P a g e The World Bank Group FY15 GHG Inventory Management Plan APPENDIX I – AUTOMATIC THRESHOLDS WITHIN CREDIT360 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 m2 100% 100% space is within (rentable space) 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% 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% 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 57 | P a g e The World Bank Group FY15 GHG Inventory Management Plan 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% 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% 58 | P a g e The World Bank Group FY15 GHG Inventory Management Plan WORLD BANK GROUP Organization Name: The World Bank: IBRD/IDA Corporate Address: 1818 H St. NW, Washington, DC, USA 20433 Inventory Manager: Environmental Specialist, ENV, Adam Rubinfield Contact Information: Address: 1818 H St, MSN I 3-303Washington, DC 20433 Phone: 202-473-4418 Email: arubinfield@worldbank.org Organization Name: International Finance Corporation (IFC) Corporate Address: 2121 Pennsylvania Ave., NW, Washington, DC 20433 Inventory Manager: Footprint Program Manager, Sarah Raposa Contact information: Phone: 202-458-7703 Email: sraposa@ifc.org 2|Page