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Solar Resource and PV Potential of the Maldives : Solar Model Validation Report (anglais)

This report describes accuracy enhancement of Solargis solar resource data for Maldives based on the ground measurements collected at four solar meteorological stations across the country. These solar meteorological stations were installed and operated by Suntrace GmbH company (Germany), and commissioned by the World Bank over the years 2015 to 2018 under the same activity. The data layers show long-term yearly and monthly averages of Direct Normal Irradiation (DNI) and Global Horizontal Irradiation (GHI), and they represent a period of the last 19 years, from 1999 to 2017. The data is calculated by aggregation of sub-hourly map-based time series calculated for the territory of Maldives with 1-km spatial resolution. The aggregated data layers are delivered in the format that is compatible with Geographical Information Systems (GIS). Additionally, printable maps are available in digital format and ready-to-use for large-format printing. The accuracy of the data layers is enhanced by the regional adaptation of the Solargis model with use of ground measurements acquired at four high-standard solar meteorological stations located in Maldives. The measurements helped to reduce systematic deviation of the data inputs to the Solargis model as driving factors of the accuracy in this region. Individual improvements of the Solargis model at the stations in Maldives are shown in the table below. As a result of the regional adaptation of the Solargis model, the calculated GHI and DNI data are more accurate and with reduced uncertainty.


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    Asie du Sud,

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  • Titre du rapport

    Solar Resource and PV Potential of the Maldives : Solar Model Validation Report

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    regional adaptation; meteorological stations; national renewable energy laboratory; solar resource; solar radiation; solar radiation data; probability of occurrence; cumulative distribution function; data quality control; digital elevation model; local climate conditions; general circulation model; national solar conference; solar power plant; solar power system; solar energy system; quality control procedure; regional model; measuring station; satellite data; input data; correction factor; standard deviation; normal distribution; spatial resolution; cloudless conditions; frequency distribution; geographical conditions; atmospheric data; primary data; visual inspection; cloud cover; optical property; performance assessment; meteorological data; atmospheric condition; spatial context; regional context; temporal resolution; model result; statistical measure; aggregate data; sea salt; high performance; meteorological condition; climatic region; successful adaptation; quality assessment; systematic pattern; observation instrument; natural conditions; meteorological satellite; surface radiation; data loggers; consultancy service; digital format; meteorological parameters; technology company; financial risk; surface albedo; historical data; solar heating; power production; terrain condition; book publication; influencing factor; positive bias; seasonal pattern; geographic condition; temporal variability; spatial mismatch; correction values; spatial distribution; air mass; regional pattern; probability distribution; data structure; solar equipment; output data; absolute change; adaptation approach; acceptable limit; quality measure; geographical knowledge; finance industry; surface type; climatic condition; relative humidity; cloud formation; short period; quantitative assessment; geophysical research; meteorological instrument; quality datum; temperature probe; atmospheric composition; wind speed; barometric pressure; data availability; measured parameters; certified company; data loss; higher uncertainty; environmental condition; high humidity; solar irradiation; liquid particles; desert sand; soil particles; seasonal variability; subsidiary right; global initiative; burning biomass; traffic pollution; copyright holder; microclimate effects; sole responsibility



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