4.7 Article

Impact of warmer weather on electricity sector emissions due to building energy use

期刊

ENVIRONMENTAL RESEARCH LETTERS
卷 12, 期 6, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1748-9326/aa6f64

关键词

air quality; electricity; buildings; climate impacts; modeling

资金

  1. National Institutes of Health [1R21ES020232-01]
  2. Vilas Mid Career Award
  3. University of Wisconsin-Madison
  4. Wisconsin Energy Institute at the University of Wisconsin-Madison
  5. Nelson Institute for Environmental Studies through the Center for Sustainability and the Global Environment (SAGE)
  6. NASA Air Quality Applied Sciences Team
  7. National Science Foundation (NSF)
  8. US Department of Energy (DoE)
  9. National Oceanic and Atmospheric Administration (NOAA)
  10. US Environmental Protection Agency Office of Research and Development (EPA)

向作者/读者索取更多资源

Most US energy consumption occurs in buildings, with cooling demands anticipated to increase net building electricity use under warmer conditions. The electricity generation units that respond to this demand are major contributors to sulfur dioxide (SO2) and nitrogen oxides (NOx), both of which have direct impacts on public health, and contribute to the formation of secondary pollutants including ozone and fine particulate matter. This study quantifies temperature-driven changes in power plant emissions due to increased use of building air conditioning. We compare an ambient temperature baseline for the Eastern US to a model-calculated mid-century scenario with summer-average temperature increases ranging from 1 C to 5 C across the domain. We find a 7% increase in summer electricity demand and a 32% increase in non-coincident peak demand. Power sector modeling, assuming only limited changes to current generation resources, calculated a 16% increase in emissions of NOx and an 18% increase in emissions of SO2. There is a high level of regional variance in the response of building energy use to climate, and the response of emissions to associated demand. The East North Central census region exhibited the greatest sensitivity of energy demand and associated emissions to climate.

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