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

Citation Author(s):
Patricia
Silva
Student Member, IEEE
Alexandre
Moreira
Member, IEEE
Miguel
Heleno
Senior Member, IEEE
Andre
Luis Marques Marcato
Senior Member, IEEE
Submitted by:
Patricia Silva
Last updated:
Thu, 01/18/2024 - 16:35
DOI:
10.21227/q2qd-5y27
Data Format:
License:
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Abstract 

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/

Instructions: 

This dataset contains several CSV files that store data related to the California system. Each file contains information specifically related to its title. For comprehensive insights into the contents and purpose of each CSV file, refer to the 'README.txt' file. This file provides a brief explanation for a better understanding of the data included in the dataset.