Products
menu item
Prospect
Quick estimate of PV site's solar potential
menu item
Evaluate
Time Series & TMY data for energy modelling
menu item
Monitor
Real-time PV output assessment
menu item
Forecast
Solar power output forecast for up to 14 days
menu item
Analyst
Simplified & unified solar data management
menu item
Integrations
Automate delivery of Solargis data
Use cases
menu item
Site selection
Find the right solar project location
menu item
Energy yield simulation
Analyze potential gains and risks
menu item
Optimizing power plant design
Find optimum power plant design
menu item
Real power plant performance
Discover the true output
menu item
Power output forecast
Predict solar project energy output
menu item
Ground data verification
Verify quality of solar & meteo measurements
Solar Resource & Meteo Assessment
Detailed solar resource validation and assessment
Site Adaptation of Solargis Models
Combining satellite data with on-site measurements
Quality Control of Solar & Meteo Measurements
Correction of errors in ground-measured data
Customized GIS Data
Customized Solargis GIS data for your applications
PV Energy Yield Assessment
Estimated energy uncertainties and related data inputs
PV Performance Assessment
Energy estimate for refinancing or asset acquisition
PV Variability & Storage Optimization Study
Understand output variability across wide geo regions
Regional Solar Energy Potential Study
Identification of locations for solar power plants
Our expertise
How our technology works
Methodology
How we transform science into technology
API & integration
How to integrate Solargis data via API
Product guides & documentation
Release notes
Success stories
Blog
Ebooks & Whitepapers
Webinars
Publications
Events
Free Maps & GIS Data
Solar performance maps
About Solargis
Partners
ISO Certification
Careers

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.

Regional variability management

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.

Geographical constraints and opportunities

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. 

PV electricity potential

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. 

Deliverables

  • Digital maps and GIS data layers 

  • Technical report 

  • Workshop

"We had been in touch with several meteo providers and we found that Solargis provides the most representative estimates for each site."
Matteo Riccieri
Chief Operating Officer
RTR
Logo rtr