Case Study: Solar Panel Soiling Forecaster

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Business Goals:

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Forecast how dirty panels on solar farms will get based on surrounding conditions

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Compute optimal time to wash the panels (which is very expensive) versus electricity lost from soiling

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Data Sets and Models:

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Particulate matter trends from EPA

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Weather history from NOAA interpolated over a grid over the entire USA

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Output and Benefits:

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Saves $MMs per year per solar farm in reduced washing costs and increased power generation

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Better for environment in terms of water usage

Bright sunlight with orange glow.
Rows of solar panels in field.
Raindrops falling on water surface.

Fused Air Quality Surface Using Downscaling

U.S. map showing spatial kriging interpolation of PM 2.5

Modeled vs Actual Soiling Loss

Chart showing modelled vs actual soiling loss.

Case Study:

Solar Panel Soiling Forecaster

Business Goals:

Diamond-shaped dark icon as bullet point.

Forecast how dirty panels on solar farms will get based on surrounding conditions

Diamond-shaped dark icon as bullet point.

Compute optimal time to wash the panels (which is very expensive) versus electricity lost from soiling

Data Sets and Models:​

Diamond-shaped dark icon as bullet point.

Particulate matter trends from EPA​

Diamond-shaped dark icon as bullet point.

Weather history from NOAA interpolated over a grid over the entire USA​

Output and Benefits:​

Diamond-shaped dark icon as bullet point.

Makes $MMs per year per solar farm in reduced washing costs and increased power generation​

Diamond-shaped dark icon as bullet point.

Better for environment in terms of water usage ​

Solar panels in a field at sunrise.