Design Approach

How Our Models Work

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Defining a System

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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Simulating baseline

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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Quantifying Value

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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Optimizing Design

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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