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A statistical regression model to determine financial cash flow for wind energy based on tax structure

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  • Ritsema, Matthew Dae Joong

Abstract

A financial cash flow for wind turbines is based on an energy entity's tax structure. Using statistical regression of various wind turbines and wind maps, a theoretical model for energy output was calculated. The turbines were separated by the rated size of the turbine. With the theoretical model, financial output was generated for four different types of tax structures. A total of eight test cases were simulated. Special consideration was given to the impact of Production Tax Credits (PTC) and Renewable Energy Production Incentives (REPI). The object is to determine what type of business and tax structure would have the greatest potential impact on a local or rural community.

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  • Ritsema, Matthew Dae Joong, 2004. "A statistical regression model to determine financial cash flow for wind energy based on tax structure," ISU General Staff Papers 2004010108000018197, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genstf:2004010108000018197
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