绿色山丘与绿色账单之间：通过瑞士能源系统规划中的多目标优化揭示可持续性与负担转移的绿色侧面
Between Green Hills and Green Bills: Unveiling the Green Shades of Sustainability and Burden Shifting through Multi-Objective Optimization in Swiss Energy System Planning
AI总结：
本研究将生命周期影响评估指标整合到瑞士能源系统多目标优化中，发现优化环境经济指标可降低15%至47%的系统成本，但纯经济优化存在环境负担转移风险，为更全面的能源系统规划提供了路径。
摘要：
《巴黎协定》是有史以来第一份被普遍接受且具有法律约束力的全球气候变化协议。它是连接当今政策战略与本世纪末之前实现气候中和的桥梁。对这一努力至关重要的是能源系统建模，尽管它擅长制定具有成本效益的碳中和战略，但往往忽视了更广泛的环境和社会影响。本研究引入了一种创新方法，将生命周期影响评估指标整合到能源系统建模中，从而能够对经济和环境结果进行全面评估。以瑞士能源系统为案例研究，我们的模型揭示，优化关键的环境经济指标可以带来显著的经济优势，通过将化石技术运行产生的潜在影响最小化，以及与可再生能源基础设施建设相关的间接影响最小化，系统成本可能降低15%至47%。然而，一个仅以经济效率为优化目标的系统，尽管与2020年相比实现了63%的碳足迹减少，但我们的结果表明存在将负担转移到其他环境问题上的潜在风险。在我们的方法中采用多目标优化，细致地探索了环境经济目标与技术选择之间复杂的相互作用。我们的结果阐明了通往更全面优化的能源系统的路径，有效解决了跨环境问题的权衡，并提高了社会对这些解决方案的接受度，以应对本世纪的决定性挑战。
英文摘要：
The Paris agreement is the first-ever universally accepted and legally binding agreement on global climate change. It is a bridge between today's and climate-neutrality policies and strategies before the end of the century. Critical to this endeavor is energy system modeling, which, while adept at devising cost-effective carbon-neutral strategies, often overlooks the broader environmental and social implications. This study introduces an innovative methodology that integrates life-cycle impact assessment indicators into energy system modeling, enabling a comprehensive assessment of both economic and environmental outcomes. Focusing on Switzerland's energy system as a case study, our model reveals that optimizing key environomic indicators can lead to significant economic advantages, with system costs potentially decreasing by 15% to 47% by minimizing potential impacts from operating fossil technologies to the indirect impact related to the construction of the renewable infrastructure. However, a system optimized solely for economic efficiency, despite achieving 63% reduction in carbon footprint compared to 2020, our results show a potential risk of burden shift to other environmental issues. The adoption of multi-objective optimization in our approach nuances the exploration of the complex interplay between environomic objectives and technological choices. Our results illuminate pathways towards more holistically optimized energy systems, effectively addressing trade-offs across environmental problems and enhancing societal acceptance of the solutions to this century's defining challenge.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
