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DOI | 10.1016/j.egycc.2024.100126 |
Climate ambition, background scenario or the model? Attribution of the variance of energy-related indicators in global scenarios | |
Al Khourdajie, Alaa; Skea, Jim; Green, Richard | |
发表日期 | 2024 |
EISSN | 2666-2787 |
起始页码 | 5 |
卷号 | 5 |
英文摘要 | We attribute variations in key energy sector indicators across global climate mitigation scenarios to climate ambition, assumptions in background socioeconomic scenarios, differences between models and an unattributed portion that depends on the interaction between these. The scenarios assessed have been generated by Integrated Assessment Models (IAMs) as part of a model intercomparison project exploring the Shared Socio-economic Pathways (SSPs) used by the climate science community. Climate ambition plays the most significant role in explaining many energy-related indicators, particularly those relevant to overall energy supply, the use of fossil fuels, final energy carriers and emissions. The role of socioeconomic background scenarios is more prominent for indicators influenced by population and GDP growth, such as those relating to final energy demand and nuclear energy. Variations across some indicators, including hydro, solar and wind generation, are largely attributable to inter-model differences. Our Shapley-Owen decomposition gives an unexplained residual not due to the average effects of the other factors, highlighting some indicators (such as the use of carbon capture and storage (CCS) for fossil fuels, or adopting hydrogen as an energy carrier) with outlier results for particular ambition-scenariomodel combinations. This suggests guidance to policymakers on these indicators is the least robust. |
英文关键词 | Energy transition; Climate change mitigation; Integrated assessment models; Shapley-Owen decomposition |
语种 | 英语 |
WOS研究方向 | Energy & Fuels |
WOS类目 | Energy & Fuels |
WOS记录号 | WOS:001185775700001 |
来源期刊 | ENERGY AND CLIMATE CHANGE
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/296129 |
作者单位 | Imperial College London; International Institute for Applied Systems Analysis (IIASA); Imperial College London |
推荐引用方式 GB/T 7714 | Al Khourdajie, Alaa,Skea, Jim,Green, Richard. Climate ambition, background scenario or the model? Attribution of the variance of energy-related indicators in global scenarios[J],2024,5. |
APA | Al Khourdajie, Alaa,Skea, Jim,&Green, Richard.(2024).Climate ambition, background scenario or the model? Attribution of the variance of energy-related indicators in global scenarios.ENERGY AND CLIMATE CHANGE,5. |
MLA | Al Khourdajie, Alaa,et al."Climate ambition, background scenario or the model? Attribution of the variance of energy-related indicators in global scenarios".ENERGY AND CLIMATE CHANGE 5(2024). |
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