Before choosing the location for a solar power plant, you should understand the climate and solar resource of the region to ensure optimal placement. However a generic solar resource map may not show the complete picture.
In the Regional Solar Energy Potential Study, we analyze not only solar resource information but also meteorological and geographical data. The analysis considers the uncertainty of resource estimates, intermittency and seasonal variability, extreme weather, and geographical limitations on the deployment of solar power plants.
To identify regions with the highest solar potential, we use Solargis modeled solar radiation data as well as locally available ground measurements. We analyze both the short-term and seasonal variability of solar power production to help you understand how it matches demand.
For example, the study identifies sites and regions where power generation variability is lower, resulting in more stable grids. Uncertainty of our solar resource estimates is quantified, enabling technically sound analysis.
The geographical characteristics of a region or particular location create technical and environmental constraints or prerequisites for the development of solar power plants.
We analyze parameters such as terrain, population, site accessibility, energy demand centers (industry, agriculture, services), electricity grid infrastructure, and road networks.
Weather conditions define the operating environment for solar power plants. To identify the characteristics of the regional climate and improve accuracy, we use data both from meteorological models and local meteorological stations.
Different solar technologies might work better in different places. Using in-house simulation algorithms, we calculate PV power generation potential for the specific region.
PV electricity generation maps help you choose the most suitable technology.
Digital maps and GIS data layers
Technical report
Workshop