Seasonal pumped hydropower storage role in responding to climate change impacts on the Brazilian electrical sector

19580 6 105392 2 320568 document 105392 1-s2.0-S2352152X2400834X-main.pdf application/pdf 2b2c6efcd072d9d8943c42d36115ee3e MD5 9705100 2024-03-27 11:13:10 https://pure.iiasa.ac.at/id/eprint/19580/1/1-s2.0-S2352152X2400834X-main.pdf 19580 1 1 application/pdf text en public cc_by_4

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published 105393 2 320574 document 105393 lightbox.jpg image/png 78aa2147bc459cc505bec329be7e8bbb MD5 52131 2024-03-27 11:23:18 https://pure.iiasa.ac.at/id/eprint/19580/2/lightbox.jpg 19580 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/105392 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/105392 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/105392 archive 353 disk0/00/01/95/80 2024-03-27 11:15:02 2024-03-27 11:15:02 2024-03-27 11:15:02 article show de Assis Brasil Weber N. Hunt J. 9022 0000-0002-1840-7277 Zakeri B. 2189 0000-0001-9647-2878 Smith Schneider P. Asfor Parente F.S. Delavald Marques A. Olímpio Pereira Junior A. Seasonal pumped hydropower storage role in responding to climate change impacts on the Brazilian electrical sector pub ECE IACC S3 Renewable energy, Climate change, Energy variability, Integrated Assessment Model Since Brazil's major energy resources are renewable and directly related to climate factors, it is among the countries most likely of being affected by climate change. Given Brazil's high hydropower storage capacity and the strong seasonal patterns of its renewable resources, introducing Seasonal Pumped Hydropower Storage (SPHS) can help mitigate these challenges. To this end, a methodology is proposed that links the dynamic system-optimization model – MESSAGEix - to regional climate model simulations, called the Brazilian Electricity System MESSAGEix Model (BESMM). This model, with its detailed hydropower representation, is capable of integrating data from three climate change scenarios with the country's energy system. Climate change introduces a new dimension to this approach, as there is evidence of increasing the seasonal imbalance of variable renewable resources in Brazil. BESMM results suggest that SPHS can play a fundamental role in achieving a 100 % renewable matrix by 2100 in RCP 2.6 scenario, as well as enhancing the renewable energy endowment in scenarios RCP 4.5 and RCP 8.5. A reduction of up to 68 % of CO2 emissions is predicted in scenarios incorporating SPHS, compared to scenarios without SPHS. 2024-05-15 published Elsevier doi:10.1016/j.est.2024.111249 2936 3099 public Journal of Energy Storage 87 e111249 TRUE 2352-152X no info:eu-repo/semantics/article