The Effect of Clean Energy Generation Targets on the Portfolio of Electric Grid Generation Technologies
A least-cost generation and transmission expansion planning model is used to optimize the U.S. generation portfolio in 2030 under a range of Clean Energy Generation Target (CEGT) policy goals. As reference cases for comparison, the model is used to optimize the generation portfolio for the future electric grid with and without the Investment and Production Tax Credits (ITC and PTC). Next, the model is used to optimize the generation portfolio with a CEGT ranging from 10% to 70%. The results show that due to the ITC and PTC extensions by the 2022 Inflation Reduction Act, there is little additional investment in renewable energy generation assets at low CEGT levels. Significant additional installations of both renewable energy generation and energy storage systems – both batteries and pumped storage hydro – become important at CEGT levels above approximately 30%.
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- Argonne National Laboratory - Laboratory Directed Research and Development (LDRD)
- DOE Contract Number:
- AC02-06CH11357
- OSTI ID:
- 2325000
- Resource Relation:
- Conference: 15TH Annual IEEE Green Technologies Conference, 04/19/23 - 04/21/23, Denver, CO, US
- Country of Publication:
- United States
- Language:
- English
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