4.5 Article

Simulation of tropical cyclone impacts to the US power system under climate change scenarios

Journal

CLIMATIC CHANGE
Volume 127, Issue 3-4, Pages 535-546

Publisher

SPRINGER
DOI: 10.1007/s10584-014-1272-3

Keywords

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Funding

  1. National Science Foundation (NSF) CMMI Grant [1149460]
  2. NSF CBET SEES Grant [1215872]
  3. NSF SEES Grant [1331399]
  4. NSF CMMI Grant [0968711]
  5. Directorate For Engineering
  6. Div Of Chem, Bioeng, Env, & Transp Sys [1215872] Funding Source: National Science Foundation
  7. Divn Of Social and Economic Sciences
  8. Direct For Social, Behav & Economic Scie [1331399] Funding Source: National Science Foundation
  9. Div Of Civil, Mechanical, & Manufact Inn
  10. Directorate For Engineering [0968711] Funding Source: National Science Foundation
  11. Div Of Civil, Mechanical, & Manufact Inn
  12. Directorate For Engineering [1149460] Funding Source: National Science Foundation
  13. Office Of The Director
  14. Office Of Internatl Science &Engineering [1243482] Funding Source: National Science Foundation

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The links between climate change and tropical cyclone behavior are frequently studied but still uncertain. This uncertainty makes planning for climate change a difficult task. Here we focus on one area of climate-related risk: the impact of tropical cyclones on United States power systems, and we evaluate this risk through the simulation of impacts to the power system under 12 plausible scenarios in which climate change may affect tropical cyclone intensity, frequency, and location. We use a sensitivity analysis based approached grounded in the literature rather than directly simulating from specific GCM output due to the high degree of uncertainty in both the climate models and the climate-hurricane relationship. We show how changes in tropical cyclone activity influence extreme wind speeds, probability of power outages, and the proportion of people without power. While climate change and its impacts are often discussed globally, this work provides information at a much more local scale. The sensitivity of an individual area can be assessed, and the information presented here can be incorporated into planning and mitigation strategies for power systems faced with an uncertain future in a changing climate.

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