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Climate change impacts and costs to U.S. electricity transmission and distribution infrastructure.
Fant, Charles; Boehlert, Brent; Strzepek, Kenneth; Larsen, Peter; White, Alisa; Gulati, Sahil; Li, Yue; Martinich, Jeremy.
Afiliação
  • Fant C; Industrial Economics, Inc., 2067 Massachusetts Ave, Cambridge, MA, 02140, USA.
  • Boehlert B; Industrial Economics, Inc., 2067 Massachusetts Ave, Cambridge, MA, 02140, USA.
  • Strzepek K; Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, USA.
  • Larsen P; Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, USA.
  • White A; Industrial Economics, Inc., 2067 Massachusetts Ave, Cambridge, MA, 02140, USA.
  • Gulati S; Carroll College, 1601 N Benton Ave., Helena, MT, 59625, USA.
  • Li Y; Industrial Economics, Inc., 2067 Massachusetts Ave, Cambridge, MA, 02140, USA.
  • Martinich J; Industrial Economics, Inc., 2067 Massachusetts Ave, Cambridge, MA, 02140, USA.
Energy (Oxf) ; 1952020 Mar 15.
Article em En | MEDLINE | ID: mdl-32055100
This study presents a screening-level analysis of the impacts of climate change on electricity transmission and distribution infrastructure of the U.S. In particular, the model identifies changes in performance and longevity of physical infrastructure such as power poles and transformers, and quantifies these impacts in economic terms. This analysis was evaluated for the contiguous U.S, using five general circulation models (GCMs) under two greenhouse gas emission scenarios, to analyze changes in damage and cost from the baseline period to the end of the century with three different adaptation strategies. Total infrastructure costs were found to rise considerably, with annual climate change expenditures increasing by as much as 25%. The results demonstrate that climate impacts will likely be substantial, though this analysis only captures a portion of the total potential impacts. A proactive adaptation strategy resulted in the expected costs of climate change being reduced by as much as 50% by 2090, compared to a scenario without adaptation. Impacts vary across the contiguous U.S. with the highest impacts in parts of the Southeast and Northwest. Improvements and extensions to this analysis would help better inform climate resiliency policies and utility-level planning for the future.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Ano de publicação: 2020 Tipo de documento: Article