Prospect
Quick estimate of PV site's solar potential
The most accurate solar and weather Time Series & TMY
Solargis Evaluate offers detailed, reliable, and bankable Time Series and Typical Meteorological Year (TMY) data to help you understand the site's conditions for optimal PV plant design.
Solargis Evaluate provides bankable data widely accepted by banks, investors, and other stakeholders.
Our physical-based algorithms used in transparent and verified modeling and simulation steps leave no room for ambiguities.
This scientific, well-documented approach – along with numerous independent validation studies– has earned Solargis its reputation as the most reliable source of solar irradiance data on the market.
With our multi-year Time Series, you can assess expected year-to-year variability and seasonal or intraday PV output profiles.
In addition to solar irradiance, Solargis datasets contain critical parameters such as air temperature, wind, relative humidity, precipitation, and others.
Based on project requirements, we can calculate the Typical Meteorological Year data (TMY) at any level of confidence — from P50 up to P99 — from the multi-year Time Series.
Solargis sub-hourly Time Series comes in both 15- and 1-minute resolutions.
In contrast to hourly TMY, sub-hourly time series data provides insights into unusual weather conditions – extreme wind gusts, heavy snowfalls, and more.
This allows you to design the power plant to withstand extremes while keeping costs under control.
You can visualize and analyze both complex datasets and TMY with Solargis Analyst, a solution designed specifically for solar data analysts.
Ground albedo, once a secondary consideration in solar energy applications, has emerged as a critical factor with the rise of bifacial PV technology.
This shift underscores the need for accurate, spatially and temporally specific albedo data.
By integrating comprehensive albedo data, developers and investors can significantly mitigate uncertainties in energy simulations, ensuring more reliable and bankable energy yield assessments.
Download sample data or a report from a specific site. You can also check technical documentation or learn about the technology behind this solution.
Projects supported by our bankable solar & meteo data, software, and services every year
Years of experience with solar projects and improving industry standards
Coverage of the world’s population with 30 years of solar and meteorological data
Solargis API Typical Meteorological Year (TMY) provides access to a comprehensive solar model of TMY data for locations all over the world.
Get direct access to Solargis TMY data in your energy simulation software via API.
For larger and utility-scale solar projects, you need long-term solar and meteorological data to be regionally validated with the right uncertainty estimates.
We can provide you with a detailed solar resource validation and assessment report as an add-on alongside standard data delivery.
Combine satellite data with on-site measurements to reduce the uncertainty of estimated energy output and achieve more accurate financial estimates.
The Site Adaptation of Solargis Models service will give you locally enhanced solar and meteo parameters, enabling you to reduce uncertainty of power plant design and energy yield simulations.
For financial risk assessment, investors and developers require reports of expected energy production, including uncertainties, as well as related solar and meteorological data inputs.
We offer an independent and impartial evaluation of PV yield assessment with our proprietary simulation tools and models. These are based on 15+ years of experience working on large and medium-scale PV power plants around the world.
Data-driven insights from our PV Performance Assessment report conducted after months or years of the plant's operation will help you optimize its performance.
The report also provides a revised and more accurate long-term energy yield estimate for refinancing or new asset acquisition purposes.
The PV Variability & Storage Optimization Study delivers statistical data and insights to project developers needed for designing and managing PV-plus-storage systems.
The study provides the most realistic data on PV power generation for grid integration analysis.
