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Solar resource mapping in the Maldives : solar modeling report (English)

Solar electricity offers a unique opportunity, for each country worldwide, to achieve long term sustainability goals, such as development of modern economy, healthy and educated society, clean environment, and improved geopolitical stability. Solar power plants exploit local solar resources; they do not require extensive support infrastructure and are scalable. Solar electricity supports diversification of power generation capacities, and improves electricity services also in remote islands, thus opening new potential for development. Solar resources are fuel to solar power plants, but other weather parameters may determine efficiency of their operation. Free fuel makes solar technology very attractive; however effective investment and technical decisions require detailed and validated solar and meteorological data. Such data are also needed for the cost effective operation of solar power plants. High quality solar resource and meteorological data are available today, and they are based on the use of the modern satellite, atmospheric and meteorological models and operational services. This study describes methods and outcomes of solar resource mapping and photovoltaic power potential analysis of Maldives.

Details

  • Author

    GeoModel Solar

  • Document Date

    2015/02/01

  • Document Type

    ESMAP Paper

  • Report Number

    98878

  • Volume No

    1

  • Total Volume(s)

    1

  • Country

    Maldives,

  • Region

    South Asia,

  • Disclosure Date

    2015/08/16

  • Disclosure Status

    Disclosed

  • Doc Name

    Solar resource mapping in the Maldives : solar modeling report

  • Keywords

    solar resource;solar power plant;solar radiation;short period of time;meteorological data;input data;data quality control;satellite data;amount of aerosol;variability of climate;solar radiation data;quantity of water;direct solar radiation;incident solar energy;solar energy technology;snow and ice;solar power technology;high spatial resolution;probability of occurrence;renewable energy development;flat plate collector;power generation capacity;digital map;air mass;air temperature;measuring station;seasonal variability;data format;physical model;site selection;high frequency;temporal variability;direct radiation;diffuse radiation;temporal resolution;atmospheric attenuation;performance assessment;cloud cover;liquid particles;transport model;meteorological parameters;missing data;atmospheric condition;measured value;quality assessment;photovoltaic electricity;photovoltaic module;satellite sensors;high resolution;historical data;solar electricity;limited information;file format;solar technology;photovoltaic technology;geographical difference;data needs;geographical data;short wavelengths;high concentration;reflected radiation;atmospheric data;aerosol extinction;volcanic eruption;gas molecule;atmospheric gas;measurement error;gap filling;dynamic nature;sea level;relative thickness;quality information;shaded areas;accurate assessment;solid particles;upper atmosphere;equatorial climate;average data;horizontal visibility;sensor calibration;salt bed;dry regions;spectral band;longer period;feasibility analysis;water vapor;grid model;solar development;local condition;raw data;solar irradiance;electricity service;modern economy;clean environment;support infrastructure;humid regions;solar collector;weather parameters;climatic zone;free fuel;aggregate statistic;operational service;professional development;electrical grid;measuring equipment;common problems;expert reports;large load;aggregate value;incomplete data;hybrid system;effective approach;geographical conditions;qualified personnel;weather condition;electricity output;ice crystals;environmental variable;accurate determination;regional adaptation;terrain condition;azimuth angle;measuring instrument;similar way;data loggers;empirical model;simple regression;quality check;output data;data provider;subsidiary right;global initiative;microclimate effects;power output;solar spectrum;performance rating;wind velocity;cell surface;national centre;digital image;relative humidity;wind direction;wind speed;negative value;weather data;remote sensing;meteorological stations;geostationary satellites;constant value;daily data;surface albedo;aerosol concentration;solar industry;remote area;valid data;electricity grid;legal information;seasonal changes;temporal dynamics;particle size;climate zone;arid zone;innovative feature;chemical composition;optical property;cloud properties;meteorological satellite;physical process;small area;land surface;photovoltaic cell;inter governmental organization;intergovernmental organisation;

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Citation

GeoModel Solar

Solar resource mapping in the Maldives : solar modeling report (English). Energy Sector Management Assistance Program Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/767761468190788893/Solar-resource-mapping-in-the-Maldives-solar-modeling-report