Fankhauser Doyle Edenhofer, Lehtveer Loulou Parikh, S. Yu
{"title":"Nuclear energy in the era of climate resilience: advancing long-term scenarios with the world-times model","authors":"Fankhauser Doyle Edenhofer, Lehtveer Loulou Parikh, S. Yu","doi":"10.35335/eeqhzn35","DOIUrl":null,"url":null,"abstract":"Sustainable energy routes that improve climate resilience are needed because climate change affects global energy systems. Nuclear energy's low-carbon electricity could mitigate climate change. This study uses the World-TIMES Model to assess its climatic resilience. A mathematical optimization model is used to discover the best energy mix, including nuclear power, to minimize greenhouse gas emissions and meet energy demand and cost limitations. We use a simplified numerical example to demonstrate the concept and assess nuclear energy, renewable sources, and cost-effectiveness trade-offs. Wind and solar electricity are better in the scenario, reducing greenhouse gas emissions and mitigating climate change. This conclusion is scenario-specific, and real-world difficulties demand more thorough models. Thus, the study emphasizes regional-specific data, dynamic dynamics, and sensitivity analysis. This work improves our understanding of nuclear energy's potential in climate-resilient energy systems and aids policymakers in developing evidence-based energy strategies. The report also emphasizes the importance of renewable energy sources in reaching climate targets and urges future research to solve real-world difficulties and maximize nuclear energy integration in long-term energy planning","PeriodicalId":75297,"journal":{"name":"Vertex (Buenos Aires, Argentina)","volume":"40 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vertex (Buenos Aires, Argentina)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35335/eeqhzn35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Sustainable energy routes that improve climate resilience are needed because climate change affects global energy systems. Nuclear energy's low-carbon electricity could mitigate climate change. This study uses the World-TIMES Model to assess its climatic resilience. A mathematical optimization model is used to discover the best energy mix, including nuclear power, to minimize greenhouse gas emissions and meet energy demand and cost limitations. We use a simplified numerical example to demonstrate the concept and assess nuclear energy, renewable sources, and cost-effectiveness trade-offs. Wind and solar electricity are better in the scenario, reducing greenhouse gas emissions and mitigating climate change. This conclusion is scenario-specific, and real-world difficulties demand more thorough models. Thus, the study emphasizes regional-specific data, dynamic dynamics, and sensitivity analysis. This work improves our understanding of nuclear energy's potential in climate-resilient energy systems and aids policymakers in developing evidence-based energy strategies. The report also emphasizes the importance of renewable energy sources in reaching climate targets and urges future research to solve real-world difficulties and maximize nuclear energy integration in long-term energy planning