Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector. Energy Policy (2023). Supplementary Information on Assumptions and Results

This dataset supplements the article with the title "Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector", published in Energy Policy. The dataset contains the following: The Latin Hypercube Sample of the multipliers that are applied to the key input parameters of ETSAP-TIAM in order to generate 1000 different states of the world regarding economic and demographic growth, energy resources potentials, energy technology costs, climate sensitivity and radiative forcing, LULUCF CO₂ sink potential, CO₂ sequestration potential, and decoupling between energy consumption and economic development. The multipliers are sampled from the underlying probability distributions described in the article. The results (at the global scale) from four scenario families for each one of the 1000 wofld states. These scenario families are: BASE_SSP2: Describes the development of the global energy system consistent with recent trends and policies. 2C_SSP2: Introduces to the BASE_SSP2 scenario a global constraint of 2 °C as the maximum post-industrial temperature change from 2020 to 2100. 2C_SSP2_DA30: Delayed climate action. The climate change mitigation policies of 2C_SSP2 start in 2030. 1p5c_OS_SSP2: Introduces to the BASE_SSP2 scenario a global constraint of 1.5 °C as the maximum post-industrial temperature change from 2020 onwards to 2100 Key results included in the dataset are: Temperature change, Radiative Forcing, GHG concentrations, CO2 emissions, Marginal abatement cost, Electricity Supply Primary Energy Consumption, and Annual Total Global Energy System Cost. The dataset also includes sectoral results regarding energy consumption and use, such as shares of different electric uses, shares of hydrogen consumption in end-use sectors, hydrogen supply, Demand electrification by sector, Renewable energy consumption by sector, Alternative fuels consumption in transport, and Total final energy consumption by sector.本数据集补充发表于《Energy Policy》期刊、标题为《能源行业面临前所未有的不确定性时期能源系统深度脱碳路径》的学术论文。本数据集包含以下内容：针对ETSAP-TIAM模型关键输入参数的乘数拉丁超立方抽样（Latin Hypercube Sample），以此生成1000种不同的全球情景，涵盖经济与人口增长、能源资源潜力、能源技术成本、气候敏感性与辐射强迫、土地利用、土地利用变化及林业（LULUCF）二氧化碳汇潜力、二氧化碳封存潜力，以及能源消费与经济发展脱钩程度等维度。上述乘数从论文中描述的对应概率分布中抽样获取。 数据集还包含1000种世界情景下四类情景族的全球尺度模拟结果，四类情景族分别为： 1. BASE_SSP2：描述契合近期发展趋势与既有政策的全球能源系统演化路径。 2. 2C_SSP2：在BASE_SSP2情景基础上，增设2020年至2100年间工业后温升不超过2℃的全球约束。 3. 2C_SSP2_DA30：延迟气候行动情景，将2C_SSP2的气候变化减缓政策启动时间推迟至2030年。 4. 1p5c_OS_SSP2：在BASE_SSP2情景基础上，增设2020年至2100年间工业后温升不超过1.5℃的全球约束。 数据集收录的关键结果包括：温升、辐射强迫、温室气体（Greenhouse Gas，GHG）浓度、二氧化碳排放、边际减排成本、电力供应、一次能源消费、年度全球能源系统总成本。此外，数据集还包含能源消费与利用相关的部门级结果，具体包括各类电力消费占比、终端用能部门氢能消费占比、氢能供应、分部门需求电气化水平、分部门可再生能源消费、交通运输领域替代燃料消费，以及分部门终端总能源消费。