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Quantifying the impacts of climate change and extreme climate events on energy systems

Perera, A. T. D. (author)
Ecole Polytechnique Federale de Lausanne (EPFL),Swiss Federal Institute of Technology in Lausanne (EPFL),Eidgenössische Materialprüfungs- und Forschungsanstalt (Empa),Swiss Federal Laboratories for Materials Science and Technology (Empa),Swiss Federal Laboratories for Materials Science and Technology,Swiss Federal Institute of Technology
Nik, Vahid, 1979 (author)
Chalmers University of Technology,Lund University,Lunds universitet,Avdelningen för Byggnadsfysik,Institutionen för bygg- och miljöteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,Division of Building Physics,Department of Building and Environmental Technology,Departments at LTH,Faculty of Engineering, LTH,Queensland University of Technology
Chen, Deliang, 1961 (author)
Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences,University of Gothenburg
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Scartezzini, J. L. (author)
Ecole Polytechnique Federale de Lausanne (EPFL),Swiss Federal Institute of Technology in Lausanne (EPFL),Swiss Federal Institute of Technology
Hong, T. Z. (author)
Lawrence Berkeley National Laboratory
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 (creator_code:org_t)
2020-02-17
2020
English.
In: Nature Energy. - : Springer Science and Business Media LLC. - 2058-7546. ; 5, s. 150-159
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Climate change will induce not just a change in average temperature but higher frequency of extreme weather events, whose impacts are hard to quantify. Perera et al. quantify the impacts of climate induced extreme and regular weather variations on energy systems determining requirements for system reliability. Climate induced extreme weather events and weather variations will affect both the demand of energy and the resilience of energy supply systems. The specific potential impact of extreme events on energy systems has been difficult to quantify due to the unpredictability of future weather events. Here we develop a stochastic-robust optimization method to consider both low impact variations and extreme events. Applications of the method to 30 cities in Sweden, by considering 13 climate change scenarios, reveal that uncertainties in renewable energy potential and demand can lead to a significant performance gap (up to 34% for grid integration) brought by future climate variations and a drop in power supply reliability (up to 16%) due to extreme weather events. Appropriate quantification of the climate change impacts will ensure robust operation of the energy systems and enable renewable energy penetration above 30% for a majority of the cities.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Energisystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Energy Systems (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Klimatforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Climate Research (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Annan naturresursteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Other Environmental Engineering (hsv//eng)

Keyword

robust optimization
electrical hubs
decision-making
resilience
criteria
weather
design
Energy & Fuels
Materials Science

Publication and Content Type

ref (subject category)
art (subject category)

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