SWET model data for quantifying the trade-offs in global energy transitions
Description
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
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Funding
Hungarian Academy of Sciences
NP2022-II-6/2022
Ministry for Innovation and Technology
TKP2021-NKTA-21