SWET model data for quantifying the trade-offs in global energy transitions

This dataset contains a model for planning energy transitions that looks at the extra energy available for optional use to meet social development goals, after considering the energy costs related to building and running the energy system, along with the energy needed to support ecosystems. The model considers four significant parameters to ascertain the rising energy costs associated with the decarbonization process. • Diminishing EROI trends for both fossil fuels and renewable energy sources • The pace of establishing renewable energy infrastructure • Ecosystem Maintenance Energy (ESME) • The energy expenditure associated with carbon sequestration This dataset is cited in the paper "Quantifying the Trade-offs in Global Energy Transitions: How Economic Growth Undermines Carbon Targets and Sustainable Surplus Energy," published in the journal Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2025.116027本数据集包含一款能源转型规划模型，该模型在考量能源系统建设与运行相关能源成本、支撑生态系统所需能源的基础上，考察可用于实现社会发展目标的可用富余能源。该模型纳入四项关键参数，以研判脱碳进程中不断攀升的能源成本： • 化石燃料与可再生能源的能量返回投资比（Energy Return on Investment, EROI）递减趋势 • 可再生能源基础设施建设进度 • 生态系统维护能源（Ecosystem Maintenance Energy, ESME） • 碳封存相关能源消耗 本数据集被发表于期刊《可再生与可持续能源评论》（Renewable and Sustainable Energy Reviews）的论文《量化全球能源转型的权衡取舍：经济增长如何破坏碳目标与可持续剩余能源》（"Quantifying the Trade-offs in Global Energy Transitions: How Economic Growth Undermines Carbon Targets and Sustainable Surplus Energy"）所引用，论文DOI为https://doi.org/10.1016/j.rser.2025.116027