Nuclear energy in the era of climate resilience: advancing long-term scenarios with the world-times model

Fankhauser Doyle Edenhofer, Lehtveer Loulou Parikh, S. Yu
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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
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气候适应时代的核能:用世界时间模型推进长期情景
由于气候变化影响到全球能源系统,因此需要改善气候适应能力的可持续能源路线。核能的低碳电力可以缓解气候变化。这项研究使用World-TIMES模型来评估其气候适应能力。使用数学优化模型来发现包括核电在内的最佳能源结构,以最大限度地减少温室气体排放,满足能源需求和成本限制。我们使用一个简化的数值示例来演示概念并评估核能,可再生能源和成本效益权衡。在这种情况下,风能和太阳能发电更好,可以减少温室气体排放,减缓气候变化。这个结论是特定于场景的,现实世界的困难需要更彻底的模型。因此,本研究强调区域数据、动态动态和敏感性分析。这项工作增进了我们对核能在气候适应型能源系统中的潜力的理解,并有助于决策者制定基于证据的能源战略。该报告还强调了可再生能源在实现气候目标方面的重要性,并敦促未来的研究解决现实世界的困难,并在长期能源规划中最大限度地利用核能
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