Effects of technology assumptions on US power sector capacity, generation and emissions projections: Results from the EMF 32 Model Intercomparison Project
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DOI: 10.1016/j.eneco.2018.04.013
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Cited by:
- Leibowicz, Benjamin D. & Lanham, Christopher M. & Brozynski, Max T. & Vázquez-Canteli, José R. & Castejón, Nicolás Castillo & Nagy, Zoltan, 2018. "Optimal decarbonization pathways for urban residential building energy services," Applied Energy, Elsevier, vol. 230(C), pages 1311-1325.
- Alexander R. Barron & Allen A. Fawcett & Marc A. C. Hafstead & James R. Mcfarland & Adele C. Morris, 2018. "Policy Insights From The Emf 32 Study On U.S. Carbon Tax Scenarios," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-47, February.
- Jayadev, Gopika & Leibowicz, Benjamin D. & Kutanoglu, Erhan, 2020. "U.S. electricity infrastructure of the future: Generation and transmission pathways through 2050," Applied Energy, Elsevier, vol. 260(C).
- Yevheniia Ziabina & Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko & Yana Us, 2023. "Convergence of Energy Policies between the EU and Ukraine under the Green Deal Policy," Energies, MDPI, vol. 16(2), pages 1-19, January.
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Keywords
Technology; Electric sector; Energy-economic modeling; Model intercomparison;All these keywords.
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