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Start exploring solar potential by clicking on the map. Select sites, draw rectangles or polygons by clicking the respective map controls. Calculate energy production for selected sites.
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Map - Global Solar Atlas
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PV study - Global Solar Atlas
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Download maps for your country or region. Solar resource and...
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Contact - Global Solar Atlas
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My bookmarks - Global Solar Atlas
- Hydro-connected Solar PV potential
Hydro-connected Solar PV potential - Global Solar Atlas
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Solar Measurement Sites - Global Solar Atlas
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Yes, the Global Solar Atlas offers the users the possibility...
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Download maps for your country or region. Solar resource and PV power potential maps and GIS data can be downloaded from this section. Maps and data are available for 200+ countries and regions. Please select a region or a country in the menu below.
How does the Global Atlas work? The Global Atlas for Renewable Energy contains over 2000 datasets from 50 partners that are available for access as layers to the user. These layers contain information on renewable resources or supporting data like roads, power lines, and substations.
The Global Solar Atlas (GSA) is a free, online, map-based application that provides information on solar resource and photovoltaic power potential globally. It features the online interactive map tools, simplified photovoltaic (PV) power calculator, reporting tools and the extensive download section.
In the past ten years, the initiative has brought together more than 50 highly skilled international research institutions to share over 700 renewable energy maps on this single and consistent platform covering solar, wind, bioenergy, geothermal, hydropower, and marine energy.
1 lis 2019 · Global Solar Atlas 2.0 : Technical Report (English) The Global Solar Atlas version 2.0 is an enhancement of the online platform, originally published in 2016 in version 1.0, that offers access to data needed for preliminary assessment of solar energy projects and sites through use of GIS data layers and maps in Download section.
18 mar 2020 · Collection of solar data layers for the assessment of solar power projects.