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Mid-Sized Global Consultancy

Mid-Sized Global Consultancy

CHALLENGE:

The Consulting company had been asked to determine the optimal use of land at a series of retired or soon-to-be-retired coal mines and power plants in the United States and Canada.

With the new Inflation Reduction Act incentives, some combination of solar and wind farm was thought to be developed.

The site had access to owned property, and nearby land that could be leased as well if it provided the optimal scenario.

SOLUTION:

Using the XENDEE platform, the consultants could model the optimal mix of solar and wind - and how the economics would vary based upon different sensitivities around uncertain variables - such as sale price, capital costs, wind turbine models, and financing rates.

RESULTS:

XENDEE was able to predict the project economics (including: Capex, Opex, payback period, and NPV) for a joint solar and wind farm, with the expected renewables generation for the optimal mix of solar and wind, for each location. 

Idaho National Laboratory

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Pacific Northwest National Laboratory

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