Quantifying State-Policy Incentives for the Renewable Energy Investor
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Lockheed Martin Corp., Oak Ridge, TN (United States)
In this paper, we describe an approach to quantifying renewable energy policy for a decision maker/investor. The novelty of the idea lies in the construction of a computational model - a rule-based system - to interpret state incentives and mandates and evaluate the influence of state policies on renewable energy investment. Using this analysis tool, we are able to understand the bias of some states towards certain renewable technologies and also identify profitable markets for investment - both long and short-term. We also demonstrate how our ability to estimate the expected return of a proposed project in the form of tax credits and incentives, can be leveraged while planning to invest on large renewable power generation projects.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE; ORNL work for others
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 988720
- Country of Publication:
- United States
- Language:
- English
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