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 | This is a file from the
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Summary
| Description |
English: Solar energy: PHOTOVOLTAIC POWER POTENTIAL (PVOUT) - this map provides a summary of estimated solar photovoltaic (PV) power generation potential. It represents the long-term average of daily/yearly totals of electricity production from a 1 kW-peak grid-connected solar PV power plant. The PV system configuration consists of ground-based, free-standing structures with crystalline-silicon PV modules mounted at a fixed position, with optimum tilt to maximize yearly energy yield. Use of high efficiency inverters is assumed. The solar electricity calculation is based on high-resolution solar resource data and PV modeling software provided by Solargis. The calculation takes into account solar radiation, air temperature, and terrain, to simulate the energy conversion and losses in the PV modules and other components of a PV power plant. In the simulation, losses due to dirt and soiling was estimated to be 3.5%. The cumulative effect of other conversion losses (inter-row shading, mismatch, inverters, cables, transformer, etc.) is assumed to be 7.5%. The power plant availability is considered to be 100%. The underlying solar resource database is calculated from atmospheric and satellite data with a 15-minute and 30-minute time step, and a nominal spatial resolution of 1 km. Further details available at:
https://globalsolaratlas.info. |
| Date | |
| Source | https://globalsolaratlas.info/downloads |
| Author | Solargis |
| Attribution ( required by the license) | © The World Bank, Source: Global Solar Atlas 2.0, Solar resource data: Solargis / |
The World Bank Group has published this solar resource map using data from the Global Solar Atlas (GSA), to support the scale-up of solar power in our client countries. This work is funded by the Energy Sector Management Assistance Program (ESMAP), a multi-donor trust fund administered by The World Bank and supported by 18 donor partners. It is part of a global ESMAP initiative on Renewable Energy Resource Mapping that covers biomass, hydropower, solar and wind. This map has been prepared by Solargis, under contract to The World Bank, based on a solar resource database that Solargis owns and maintains. To obtain additional maps and information, please visit: http://globalsolaratlas.info.
Licensing
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 10:49, 18 March 2021 |
| 1,842 × 2,605 (1.86 MB) | SolarSoft | pattypan 20.04 |
File usage
Metadata
Original file (1,842 × 2,605 pixels, file size: 1.86 MB, MIME type: image/png)
| This is a file from the
Wikimedia Commons. Information from its
description page there is shown below. Commons is a freely licensed media file repository. You can help. |
Summary
| Description |
English: Solar energy: PHOTOVOLTAIC POWER POTENTIAL (PVOUT) - this map provides a summary of estimated solar photovoltaic (PV) power generation potential. It represents the long-term average of daily/yearly totals of electricity production from a 1 kW-peak grid-connected solar PV power plant. The PV system configuration consists of ground-based, free-standing structures with crystalline-silicon PV modules mounted at a fixed position, with optimum tilt to maximize yearly energy yield. Use of high efficiency inverters is assumed. The solar electricity calculation is based on high-resolution solar resource data and PV modeling software provided by Solargis. The calculation takes into account solar radiation, air temperature, and terrain, to simulate the energy conversion and losses in the PV modules and other components of a PV power plant. In the simulation, losses due to dirt and soiling was estimated to be 3.5%. The cumulative effect of other conversion losses (inter-row shading, mismatch, inverters, cables, transformer, etc.) is assumed to be 7.5%. The power plant availability is considered to be 100%. The underlying solar resource database is calculated from atmospheric and satellite data with a 15-minute and 30-minute time step, and a nominal spatial resolution of 1 km. Further details available at:
https://globalsolaratlas.info. |
| Date | |
| Source | https://globalsolaratlas.info/downloads |
| Author | Solargis |
| Attribution ( required by the license) | © The World Bank, Source: Global Solar Atlas 2.0, Solar resource data: Solargis / |
The World Bank Group has published this solar resource map using data from the Global Solar Atlas (GSA), to support the scale-up of solar power in our client countries. This work is funded by the Energy Sector Management Assistance Program (ESMAP), a multi-donor trust fund administered by The World Bank and supported by 18 donor partners. It is part of a global ESMAP initiative on Renewable Energy Resource Mapping that covers biomass, hydropower, solar and wind. This map has been prepared by Solargis, under contract to The World Bank, based on a solar resource database that Solargis owns and maintains. To obtain additional maps and information, please visit: http://globalsolaratlas.info.
Licensing
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 10:49, 18 March 2021 |
| 1,842 × 2,605 (1.86 MB) | SolarSoft | pattypan 20.04 |