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Using Coupled Models to Evaluate Cli...

Perla, Joseph M.

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Using Coupled Models to Evaluate Climate Policy and Resilience.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using Coupled Models to Evaluate Climate Policy and Resilience./
作者:	Perla, Joseph M.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	234 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Contained By:	Dissertations Abstracts International85-03B.
標題:	Regions. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30551208
ISBN:	9798380257831

Using Coupled Models to Evaluate Climate Policy and Resilience.
Perla, Joseph M.

Using Coupled Models to Evaluate Climate Policy and Resilience. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 234 p.

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

Thesis (Ph.D.)--The Pennsylvania State University, 2023.

This dissertation explores the resiliency and policy impacts of the United States' electricity system from climate change. First, we analyze the resiliency of excess generation capacity and the transmission network of the power grid to climate-induced stressors. Second, we explore a large-scale climate change-related policy to understand distributional and efficient trade-offs of bureaucratic decision-making.In Chapter 1, we develop a state-level and dynamic economic extension of the coupled waterpower-economy model in Webster et al. (2022). We also integrate an electricity demand response emulator of mid-century electricity demand to understand how climate change induced supply-side stressors on generation, water temperature and retirements, and demand-side stressors erode excess generation capacity in the western United States. Using this model, we find that existing excess capacity can absorb generator retirement and demand stressors. Adding water stress, however, will eliminate excess electricity capacity during the summer months leading to unmet electricity demand and increases in transmission utilization in the southwest states. Thus, while the western United States has excess capacity, compounding climate change-induced stressors are likely to require additional capacity in the form of additional generation or transmission lines.In Chapter 2, we explore the tipping point vulnerability of the western United States electricity transmission network. We expand on the supply-side scenario set established in Chapter 1 by including three levels of intensity for the climate-induced water temperature stress and two spatially distinct coal retirement scenarios. We find that the electricity demand response emulator leads to a 12.56% in the number of hours that transmission lines are fully utilized during the summer months. Times during the other months have half the increases. Conversely, the water stress scenarios present large decreases in the number of hours during the summer, -22% for the medium and high intensities, but increases in other seasons. Despite the large decrease in the summer, when these stressors are compounded, the electricity demand response emulator impacts dominate during the summer and exacerbate the tipping point hours during the other months.In Chapter 3, the final chapter of this dissertation, we study how federal bureaucracies balance efficiency and distributional trade-offs when creating new rules for regulating pollution. In particular, we focus on the Clean Power Plan (CPP), which was a rule to address greenhouse gas (GHG) emissions from the electric power sector passed by the Environmental Protection Agency under the Obama presidential administration. We develop a novel methodological approach to emulate large-scale environmental policies, such as the CPP. Using the approach, we find the EPA's preferred policy choice is neither the least cost-efficient nor the most cost-efficient outcome. Moreover, their chosen policy implicitly places different social welfare function weights on states covered by the CPP.

ISBN: 9798380257831Subjects--Topical Terms:

3560048
Regions.
Subjects--Index Terms:

Climate policy

Using Coupled Models to Evaluate Climate Policy and Resilience.
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