Electrification Futures Study Flexible Load Profiles

This data set includes hourly profiles for flexible load developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand that is assumed to be flexible (i.e., can be shifted throughout a day) for various scenarios of flexibility (Base, Enhanced), electrification (Reference, Medium, High), and technology advancement (Slow, Moderate, Rapid), and were developed as inputs into the ReEDS model. The quantity of flexible load is estimated using assumptions on the level of flexibility and customer participation within each subsector modeled in the EFS. Detailed assumptions and modeling implementation will be documented in ongoing EFS analyses. Flexible load profiles are provided for a subset of years (2018, 2020, 2024, 2030, 2040, 2050) and are aggregated to the state and sector level. Total electricity load profiles can be found in a related EFS data set (https://dx.doi.org/10.7799/1593122). NOTE: Due to the file size, Mac users may experience issues decompressing the zip files using the Mac Archive Utility. In those cases, decompressing using the command line is recommended. - Mai, Trieu, Paige Jadun, Jeffrey Logan, Colin McMillan, Matteo Muratori, Daniel Steinberg, Laura Vimmerstedt, Ryan Jones, Benjamin Haley, and Brent Nelson. 2018. Electrification Futures Study: Scenarios of Electric Technology Adoption and Power Consumption for the United States. National Renewable Energy Laboratory. NREL/TP-6A20-71500. https://doi.org/10.2172/1459351. - Murphy, Caitlin, Trieu Mai, Yinong Sun, Paige Jadun, Matteo Muratori, Brent Nelson, Ryan Jones. Forthcoming. Electrification Futures Study: Scenarios of Power System Evolution and Infrastructure Development for the United States. National Renewable Energy Laboratory. - Sun, Yinong, Paige Jadun, Brent Nelson, Matteo Muratori, Caitlin Murphy, Jeffrey Logan, and Trieu Mai. Forthcoming. Electrification Futures Study: Methodological Approaches for Assessing Long-Term Power System Impacts of End-Use Electrification. National Renewable Energy Laboratory.本数据集包含为电气化未来研究（Electrification Futures Study, EFS）开发的柔性负荷逐时曲线。该负荷曲线表征了不同灵活性场景（基准、增强）、电气化场景（参考、中等、高）以及技术进步场景（缓慢、中等、快速）下的可灵活调整用电需求（即可在单日范围内进行时段转移）的预测性终端用电负荷，且已作为输入参数应用于ReEDS模型。 柔性负荷的总量基于EFS建模中各细分行业内的灵活性水平与用户参与度假设进行估算，详细假设与建模实现方案将在正在推进的EFS系列分析中予以公开说明。 本数据集提供了2018、2020、2024、2030、2040、2050共6个年份的柔性负荷曲线，且已聚合至州级与行业级维度。完整总用电负荷曲线可在相关EFS数据集（https://dx.doi.org/10.7799/1593122）中获取。 注意：由于文件体积较大，Mac用户使用Mac归档工具解压压缩包时可能出现解压异常，此类场景下建议通过命令行进行解压。 参考文献： 1. Mai, Trieu, Paige Jadun, Jeffrey Logan, Colin McMillan, Matteo Muratori, Daniel Steinberg, Laura Vimmerstedt, Ryan Jones, Benjamin Haley, and Brent Nelson. 2018. 《电气化未来研究：美国电力技术采纳与电力消费场景》. 美国国家可再生能源实验室. NREL/TP-6A20-71500. https://doi.org/10.2172/1459351. 2. Murphy, Caitlin, Trieu Mai, Yinong Sun, Paige Jadun, Matteo Muratori, Brent Nelson, Ryan Jones. Forthcoming. 《电气化未来研究：美国电力系统演进与基础设施发展场景》. 美国国家可再生能源实验室. 3. Sun, Yinong, Paige Jadun, Brent Nelson, Matteo Muratori, Caitlin Murphy, Jeffrey Logan, and Trieu Mai. Forthcoming. 《电气化未来研究：评估终端用电电气化长期电力系统影响的方法论途径》. 美国国家可再生能源实验室.