Boundary Technology Costs for Economic Viability of Long-Duration Energy Storage Systems - Dataset

This dataset presents a representation of California's power system, encompassing existing generators and projections for the year 2050. The dataset's spatial resolution is at the state level (California), with hourly temporal resolution spanning 8760 periods. The system model considers four balancing areas (BA) nodes, a reference energy matrix developed by NREL’s Cambium [1], however without the representation of transmission lines. The dataset is compiled from multiple reliable sources to offer a comprehensive view of California's projected energy matrix in 2050. Data on system load, available generation technologies, and their installed capacities are sourced from NREL's Cambium 2022 [2]. Specific parameters such as ramp rates of power plant technologies and capacity factors are extracted from Cambium 2022 documentation [1]. Fixed operation and maintenance (FO&M) costs for each generator are derived from the Regional Energy Deployment System (ReEDS) base [3], publicly available on GitHub, and supplemented by information in the 2022 Annual Technology Baseline (ATB) [4]. Fuel prices reported in the Annual Energy Outlook (AEO) 2023 [5] are incorporated in the variable operation and maintenance (VO&M) costs, and relevant investment costs associated with renewable power plants are sourced from ATB 2022. This dataset serves as a valuable resource for researchers seeking insights into the future of California's energy landscape. It provides a foundation for computational experiments and analyses, offering a detailed perspective on various aspects of the state's power generation, from technology capacities to associated costs. [1] P. Gagnon, B. Cowiestoll, and M. Schwarz, “Cambium 2022 scenario descriptions and documentation,” NREL, Tech. Rep., January 2023, NREL/TP-6A40-84916. [Online]. Available: https://nrel.gov/publications.html [2] ——. (2023) Cambium 2022 data. Accessed on May 17, 2023. [Online]. Available: https://scenarioviewer.nrel.gov [3] J. Ho, J. Becker, M. Brown, P. Brown, I. Chernyakhovskiy, S. Cohen, W. Cole, S. Corcoran, K. Eurek, W. Frazier et al., “Regional energy deployment system (ReEDS) model documentation: Version 2020,” NREL, Tech. Rep., June 2021, NREL/TP-6A20-78195. [Online]. Available: https://nrel.gov/publications.html [4] NREL. (2022) ATB electricity data 2022. Accessed on March 29, 2023. [Online]. Available: https://atb.nrel.gov/electricity/2022/data [5] U.S. Energy Information Administration. (2023, March) Annual energy outlook 2023. Accessed on July 1, 2023. [Online]. Available: https://www.eia.gov/outlooks/aeo/

搜集汇总

背景与挑战

背景概述

该数据集提供了加州电力系统在2050年的详细建模数据，包括发电机、负荷、容量因子及成本参数，以小时级时间分辨率和州级空间分辨率支持长期储能系统的经济可行性分析。数据整合自NREL、ReEDS、ATB等多个权威来源，为研究人员研究未来能源格局提供基础。