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Prospect
Quick estimate of PV site's solar potential
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Evaluate
Time Series & TMY data for energy modelling
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Monitor
Real-time PV output assessment
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Solar power output forecast for up to 14 days
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Simplified & unified solar data management
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Automate delivery of Solargis data
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Find the right solar project location
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Energy yield simulation
Analyze potential gains and risks
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Find optimum power plant design
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Discover the true output
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Power output forecast
Predict solar project energy output
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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
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Solargis' Monthly Reports: A new tool for PV performance reporting and assessment

Solargis' Monthly Reports: A new tool for PV performance reporting and assessment

This innovative Solargis Monthly Report enables portfolio managers and PV site operators to optimize operations and deliver clear insights to board members, senior management teams and C-suite decision makers about the performance of their PV projects.

From Time Series to TMY: When to use each?
Best practices

From Time Series to TMY: When to use each?

All Solar industry players need to simulate their power plant designs and financial plans at some point. To do so against summarized conditions given by data products like Typical Meteorological Years has been common until recently. However, running energy simulations using more realistic conditions described by Multi-Year Time Series of data is recommended to reduce project risk and evaluate all scenarios.

How to spot solar Eclipse events in solar energy datasets
Best practices

How to spot solar Eclipse events in solar energy datasets

Solar irradiance modeling involves computing the amount of sunlight reaching the Earth's surface. During eclipses, the moon obstructs solar radiation, leading to a temporary reduction in irradiance.

Blending ERA5 reanalysis models for improving the accuracy of temperature data for PV simulations
Product updates

Blending ERA5 reanalysis models for improving the accuracy of temperature data for PV simulations

In this article, we are sharing how Solargis has improved the accuracy of air temperature datasets we provide along with other parameters affecting solar energy power simulations.

Solar power performs amid hottest year on record in 2023
Solargis news

Solar power performs amid hottest year on record in 2023

Solargis has analyzed the annual performance of solar irradiance for 2023, revealing the trends and variations of solar irradiance across the globe.

The importance of quality solar data ground measurements in tropical climates
Solargis news

The importance of quality solar data ground measurements in tropical climates

New analysis by Solargis reveals that the variance between modeled solar irradiance and actual measurements is more pronounced in tropical regions than in temperate and subtropical zones.

Lowest expected operating temperature (TLEO) & Solargis approach
Product updates

Lowest expected operating temperature (TLEO) & Solargis approach

Extreme cold conditions can lead to increased voltages in photovoltaic (PV) modules, potentially causing system overload. Learn about the critical importance of understanding the lowest expected operating temperature parameter (or TLEO in Solargis language) for optimal PV array sizing.

The pros and cons of 1-minute, 15-minute, and 60-minute solar data
Best practices

The pros and cons of 1-minute, 15-minute, and 60-minute solar data

Depending on the source and desired application, solar data can have distinctive temporal resolutions, such as sub-hourly (1-, 2-, 5-, 10-, 15-, 30-minute) or hourly intervals. But how are you supposed to know the difference, and why should you care?

Why is 1-min data essential for solar project financiers?
Best practices

Why is 1-min data essential for solar project financiers?

One of the key challenges for solar project financiers is to assess the expected energy production and revenue of a project over its lifetime, considering the uncertainties and fluctuations of the solar resource.

4 reasons why PV project designers need 1-minute data
Best practices

4 reasons why PV project designers need 1-minute data

To design optimal PV projects, designers must consult 1-minute data which paint the most accurate picture of a plants’ PV power potential and output, while providing increased financial certainty to solar investors.

IEA’s Worldwide Benchmark new study shows the highest overall GHI and DNI accuracy for Solargis model
Solargis news

IEA’s Worldwide Benchmark new study shows the highest overall GHI and DNI accuracy for Solargis model

The study summarizes the results of comparing the data provided by various institutional or commercial providers of solar irradiance models against ground measurements collected at 129 sites distributed globally. It helps solar developers navigate through all the available databases.

Solargis’ approach to 1-minute data
Best practices

Solargis’ approach to 1-minute data

An increasing number of solar PV plant developers, operators and owners require high frequency data (1-min) to make qualitative improvements throughout the entire lifecycle of a solar project.

Solargis Prospect update: Data for Scandinavia, model improvements, and more
Product updates

Solargis Prospect update: Data for Scandinavia, model improvements, and more

Solargis team has released a new version of Solargis Prospect, a solution that provides quick access to reliable solar yield estimates.