Design Approach

How Our Models Work

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We simulate a developer’s baseline agrivoltaic system by combining the historical weather data at the site with project-specific parameters provided by the developer and landowner.

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We predict this system’s yearly solar output and agricultural production, utilizing our proprietary physics-based machine learning models that predict the irradiance, temperature, relative humidity, and biomass within the system.

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We leverage our financial model to predict the system’s Net Present Value (NPV), comprehensively modeling capital and operating expenditures as well as revenue streams specific to the project’s unique scope and geography to project yearly net cash flow.

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Using genomic optimization, we simulate millions of different system configurations, ultimately arriving at the design that conveys the highest possible NPV.

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By predicting a system’s performance before it’s even installed, Fundusol can choose the best design for any project.

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