Global Atlas For Solar And Wind Energy
From Knowledge Management And Technology Cooperation
Existing maps and data collections of solar and wi...
Existing maps and data collections of solar and wind energy resources are often narrowly focused, inconsistent, incompatible and limited. Some provide only information about physical information such as insolation or wind speed. Others focus on economic and policy frameworks, such as support mechanisms. Different systems, websites and maps use various data sources, services, resolutions and geographic coverage. No existing system gives access to accurate, reliable and consistent information on renewable energy resources over the entire globe.
Data consistency is crucial to compare and develop strategies, take joint decisions, and speak a common language. The vision underlying the Global Atlas for Solar and Wind Energy is to develop a system capable of consistently addressing each geographic scale, for each renewable energy technology that will act as a host to the ongoing solar and wind energy networks and activities at a global level. The Global Solar and Wind Energy programme intends to build on existing initiatives, adapt their outcome to suit global aims, and expand their international representativeness. The potential spectrum of end-users for the Global Atlas for Solar and Wind Energy ranges from policy-makers and public authorities, investors, and developers, academics and the interested public. Each target audience has its own requirements in terms of data accuracy and services.
When completed the Global Atlas will offer different services depending on various user-group requirement. These could include, among others:
- Technical analysis of wind and solar potential at any geographic scale (e.g. global, continent, region, country);
- Display of renewable energy options using common physical units, displaying the potential synergies between different technology options, with a facility that allows users to “zoom” into the maps;
- Real-time calculation of specific indicators, e.g. CO2 reductions, total investment, market volumes, and employment volumes;
- The potentially ability to download maps in an electronic format compatible with standard GIS systems;
- Documented levels or ranges of uncertainty, and information on data quality.
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