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Dataset on dynamic grid emissions considering regional variations of the energy mix in electricity grids for 2024

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DataONE2025-05-15 更新2025-11-01 收录
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https://search.dataone.org/view/sha256:d05a610481045e13bcf02886d8f9b74a02261d5cc4ea0dc62c4f61c95f9cc8d3
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This dataset provides the average dynamic grid emission factors considering regional variations of the energy mix in electricity grids from multiple cities worldwide for 2024. The datasets from [1] were used to estimate the average dynamic grid emission factors in gCO2eq. Methodology from existing studies like [2,3] was used to create the table representing dynamic grid emission factors averaged by hours per day of each month. [1] Electricity Maps. (2024). Granular electricity data for scope 2 carbon accounting. Copenhagen, Denmark. version Jan. 26, 2025. [Online]. Available at: https://ww2.electricitymaps.com/. Accessed on Feb. 12, 2025. [2] Hepf, C., Bausch, K., Lauss, L., Koth, S. C., & Auer, T. (2022). Impact of dynamic emission factors of the German electricity mix on the greenhouse gas balance in building operation. Buildings, 12(12). https://doi.org/10.3390/buildings12122215. [3] Peters, J. F., Iribarren, D., Juez Martel, P., & Burguillo, M. (2022). Hourly marginal electricity mixes and their relevance for assessing the environmental performance of installations with variable load or power. Science of The Total Environment, 843, 156963. https://doi.org/10.1016/j.scitotenv.2022.156963. (2024-11-18)
创建时间:
2025-10-29
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