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核动力的参数化生命周期评估:简化模型。

Parametric Life Cycle Assessment of Nuclear Power for Simplified Models.

机构信息

Luxembourg Institute of Science and Technology, 4362 Esch-sur-Alzette, Luxembourg.

Paul Scherrer Institute, 5232 Villigen, Switzerland.

出版信息

Environ Sci Technol. 2023 Sep 26;57(38):14194-14205. doi: 10.1021/acs.est.3c03190. Epub 2023 Sep 12.

DOI:10.1021/acs.est.3c03190
PMID:37698276
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10537461/
Abstract

Electrifying the global economy is accepted as a main decarbonization lever to reach the Paris Agreement targets. The IEA's 2050 Net Zero transition pathways all involve some degree of nuclear power, highlighting its potential as a low-carbon electricity source. Greenhouse gas emissions of nuclear power reported in the life cycle assessment literature vary widely, from a few grams of CO equivalents to more than 100 g/kWh, globally. The reasons for such a variation are often misunderstood when reported and used by policymakers. To fill this gap, one can make LCA models explicit, exploring the role of the most significant parameters, and develop simplified models for the scientific community, policymakers, and the public. We developed a parametric cradle-to-grave life cycle model with 20 potentially significant variables: ore grade, extraction technique, enrichment technique, and power plant construction requirements, among others. Average GHG emissions of global nuclear power in 2020 are found to be 6.1 g CO equiv/kWh, whereas pessimistic and optimistic scenarios provide extreme values of 5.4-122 g CO equiv/kWh. We also provide simplified models, one per environmental impact indicator, which can be used to estimate environmental impacts of electricity generated by a pressurized water reactor without running the full-scale model.

摘要

将全球经济电气化被认为是实现《巴黎协定》目标的主要脱碳手段。国际能源署的 2050 年净零排放途径都涉及一定程度的核能,突出了其作为低碳电力来源的潜力。生命周期评估文献中报告的核电温室气体排放量差异很大,从全球几克 CO 当量到超过 100 克/千瓦时不等。当政策制定者在报告和使用时,往往会误解造成这种差异的原因。为了填补这一空白,可以使生命周期评估模型更加明确,探索最重要参数的作用,并为科学界、政策制定者和公众开发简化模型。我们开发了一个参数化从摇篮到坟墓的生命周期模型,其中包含 20 个潜在的重要变量:矿石品位、提取技术、浓缩技术和发电厂建设要求等。发现 2020 年全球核电的平均温室气体排放量为 6.1 克 CO 当量/千瓦时,而悲观和乐观情景提供了极端值 5.4-122 克 CO 当量/千瓦时。我们还提供了简化模型,每个模型对应一个环境影响指标,可用于估计压水堆发电的环境影响,而无需运行全规模模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/a46e90ff3fe2/es3c03190_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/9f375b4c7e60/es3c03190_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/8287ea088fc9/es3c03190_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/111949f247ee/es3c03190_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/19d749a3403d/es3c03190_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/a46e90ff3fe2/es3c03190_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/9f375b4c7e60/es3c03190_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/8287ea088fc9/es3c03190_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/111949f247ee/es3c03190_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/19d749a3403d/es3c03190_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efc/10537461/a46e90ff3fe2/es3c03190_0006.jpg

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