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Enhancing policy realism in energy system optimization models: Politically feasible decarbonization pathways for the United States

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  • Zhu, Qianru
  • Leibowicz, Benjamin D.
  • Busby, Joshua W.
  • Shidore, Sarang
  • Adelman, David E.
  • Olmstead, Sheila M.

Abstract

In this paper, we adopt a novel approach to integrate political-organizational and techno-economic considerations to analyze decarbonization pathways for the United States. To do so, we first construct three portfolios of granular policies that target greenhouse gas (GHG) emissions reductions in the electricity, transportation, and buildings sectors, which we deem politically feasible under different federal political contexts. We then implement sectoral policy portfolios in the US-TIMES model and compare them to a business-as-usual (BAU) scenario and an 80% system-wide decarbonization scenario that uses stylized emissions constraints to produce the least-cost decarbonization pathway. Our findings reveal that greater political alignment enables electrification to play a more significant role as a central component of decarbonization. Renewable electricity generation and light-duty vehicle electrification both expand. Moreover, if the political environment allows more ambitious climate policies, deeper decarbonization can actually be achieved at a lower average abatement cost because more economically efficient policy instruments become politically feasible. However, our results indicate that none of our sectoral policy portfolios is sufficient to reduce system-wide GHG emissions by 80% by 2050. Major emissions sources for which new technologies and policies will be needed include heavy-duty vehicles, aviation, industrial production, and natural gas use in buildings.

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  • Zhu, Qianru & Leibowicz, Benjamin D. & Busby, Joshua W. & Shidore, Sarang & Adelman, David E. & Olmstead, Sheila M., 2022. "Enhancing policy realism in energy system optimization models: Politically feasible decarbonization pathways for the United States," Energy Policy, Elsevier, vol. 161(C).
    • Handle: RePEc:eee:enepol:v:161:y:2022:i:c:s0301421521006200
    DOI: 10.1016/j.enpol.2021.112754
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    1. Shi, Jingcheng & Chen, Wenying & Yin, Xiang, 2016. "Modelling building’s decarbonization with application of China TIMES model," Applied Energy, Elsevier, vol. 162(C), pages 1303-1312.
    2. Hankey, Steve & Marshall, Julian D., 2010. "Impacts of urban form on future US passenger-vehicle greenhouse gas emissions," Energy Policy, Elsevier, vol. 38(9), pages 4880-4887, September.
    3. Vaillancourt, Kathleen & Labriet, Maryse & Loulou, Richard & Waaub, Jean-Philippe, 2008. "The role of nuclear energy in long-term climate scenarios: An analysis with the World-TIMES model," Energy Policy, Elsevier, vol. 36(7), pages 2296-2307, July.
    4. Wei Peng & Gokul Iyer & Valentina Bosetti & Vaibhav Chaturvedi & James Edmonds & Allen A. Fawcett & Stéphane Hallegatte & David G. Victor & Detlef van Vuuren & John Weyant, 2021. "Climate policy models need to get real about people — here’s how," Nature, Nature, vol. 594(7862), pages 174-176, June.
    5. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    6. McCollum, David & Yang, Christopher, 2009. "Achieving deep reductions in US transport greenhouse gas emissions: Scenario analysis and policy implications," Energy Policy, Elsevier, vol. 37(12), pages 5580-5596, December.
    7. Vaillancourt, Kathleen & Bahn, Olivier & Frenette, Erik & Sigvaldason, Oskar, 2017. "Exploring deep decarbonization pathways to 2050 for Canada using an optimization energy model framework," Applied Energy, Elsevier, vol. 195(C), pages 774-785.
    8. Yang, Christopher & Yeh, Sonia & Zakerinia, Saleh & Ramea, Kalai & McCollum, David, 2015. "Achieving California's 80% greenhouse gas reduction target in 2050: Technology, policy and scenario analysis using CA-TIMES energy economic systems model," Energy Policy, Elsevier, vol. 77(C), pages 118-130.
    9. Zhang, Hongjun & Chen, Wenying & Huang, Weilong, 2016. "TIMES modelling of transport sector in China and USA: Comparisons from a decarbonization perspective," Applied Energy, Elsevier, vol. 162(C), pages 1505-1514.
    10. Wiedenhofer, Dominik & Lenzen, Manfred & Steinberger, Julia K., 2013. "Energy requirements of consumption: Urban form, climatic and socio-economic factors, rebounds and their policy implications," Energy Policy, Elsevier, vol. 63(C), pages 696-707.
    11. Thiel, Christian & Nijs, Wouter & Simoes, Sofia & Schmidt, Johannes & van Zyl, Arnold & Schmid, Erwin, 2016. "The impact of the EU car CO2 regulation on the energy system and the role of electro-mobility to achieve transport decarbonisation," Energy Policy, Elsevier, vol. 96(C), pages 153-166.
    12. Victor, Nadejda & Nichols, Christopher & Zelek, Charles, 2018. "The U.S. power sector decarbonization: Investigating technology options with MARKAL nine-region model," Energy Economics, Elsevier, vol. 73(C), pages 410-425.
    13. Joeri Rogelj & Gunnar Luderer & Robert C. Pietzcker & Elmar Kriegler & Michiel Schaeffer & Volker Krey & Keywan Riahi, 2015. "Energy system transformations for limiting end-of-century warming to below 1.5 °C," Nature Climate Change, Nature, vol. 5(6), pages 519-527, June.
    14. Tom Mikunda & Tom Kober & Heleen de Coninck & Morgan Bazilian & Hilke R�sler & Bob van der Zwaan, 2014. "Designing policy for deployment of CCS in industry," Climate Policy, Taylor & Francis Journals, vol. 14(5), pages 665-676, September.
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    2. Anastasia Soukhov & Ahmed Foda & Moataz Mohamed, 2022. "Electric Mobility Emission Reduction Policies: A Multi-Objective Optimization Assessment Approach," Energies, MDPI, vol. 15(19), pages 1-21, September.
    3. Petkov, Ivalin & Mavromatidis, Georgios & Knoeri, Christof & Allan, James & Hoffmann, Volker H., 2022. "MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits," Applied Energy, Elsevier, vol. 314(C).

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