Resource Modeling

Estimate solar energy generation at any location at different confidence levels utilizing reanalyzed historical resource datasets. 

resource modeling
GHI at Different Probability

The need for high-resolution spatiotemporal data

The process to determine a great site for a wind or solar project is highly complex. The lack of a global harmonized geo-mapped assessment of wind and solar resources adds to this, and therefore, there is a need for a high-resolution spatiotemporal assessment. Such assessment can accurately represent the geographical variability of the built environment along with impacts of seasonal changes in wind or solar resources.

Our input datasets

Our modeling techniques

We work with a hybrid model integrating satellite and ground-based station observations. We also use advanced machine learning models to determine accurate irradiance values through the use of ERA5 data and ground-based observation data sets.

kriging
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Comprehensive modeled output for further analysis

With our resource modeling, we deliver historical data of the past 20 years for Diffused Horizontal Irradiance (GHI) [W/𝒎^𝟐], Direct Normal Irradiance (DNI)[[W/m^2], Global Horizontal Irradiance (DHI) [W/𝒎^𝟐], Albedo Analysis, Aerosol Optical Depth, Wind Speeds[m/s], Temperatures[C], and Precipitation[mm].

The specific irradiance values are available at 5km resolution for all regions as per our coverage, whereas we can generate customized resolution datasets for multiple resources.  

ALbedo
Aerosol

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