气候变化领域集成服务门户(CCPortal): Enhancing policy realism in energy system optimization models: Politically feasible decarbonization pathways for the United States

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DOI	10.1016/j.enpol.2021.112754
	Enhancing policy realism in energy system optimization models: Politically feasible decarbonization pathways for the United States
	Zhu Q.; Leibowicz B.D.; Busby J.W.; Shidore S.; Adelman D.E.; Olmstead S.M.
发表日期	2022
ISSN	0301-4215
卷号	161
英文摘要	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. © 2021 Elsevier Ltd
英文关键词	Climate change mitigation; Climate policy; Decarbonization; Energy system modeling; Greenhouse gas emissions; TIMES model
语种	英语
scopus关键词	Climate change; Climate models; Decarbonization; Electric utilities; Greenhouse gases; Industrial emissions; Climate change mitigation; Climate policy; Decarbonisation; Energy systems; Energy-system models; Greenhouse gas emissions; Organizational economics; Sectoral policies; Techno-economics; TIMES model; Gas emissions; climate change; emission control; environmental policy; greenhouse gas; optimization; policy development; politics; United States
来源期刊	Energy Policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/256386
作者单位	Operations Research and Industrial Engineering, The University of Texas at Austin, 204 E. Dean Keeton St., Stop C2200, Austin, TX 78 712, United States; Lyndon B. Johnson School of Public Affairs, The University of Texas at Austin, 2300 Red River St., Stop E2700, Austin, TX 78 712, United States; School of Law, The University of Texas at Austin, 727 E. Dean Keeton St., Austin, TX 78 712, United States; Resources for the Future, 1616 P Street, Washington, NW DC 20 036, United States
推荐引用方式 GB/T 7714	Zhu Q.,Leibowicz B.D.,Busby J.W.,et al. Enhancing policy realism in energy system optimization models: Politically feasible decarbonization pathways for the United States[J],2022,161.
APA	Zhu Q.,Leibowicz B.D.,Busby J.W.,Shidore S.,Adelman D.E.,&Olmstead S.M..(2022).Enhancing policy realism in energy system optimization models: Politically feasible decarbonization pathways for the United States.Energy Policy,161.
MLA	Zhu Q.,et al."Enhancing policy realism in energy system optimization models: Politically feasible decarbonization pathways for the United States".Energy Policy 161(2022).