Comparing the Role of Long Duration Energy Storage Technologies for Zero-Carbon Electricity Systems

Sara Ashfaq; Ilyass El Myasse; Daming Zhang; Ahmed S. Musleh; Boyu Liu; Ahmad A. Telba; Usama Khaled; Mohamed Metwally Mahmoud

doi:10.1109/ACCESS.2024.3397918

IEEE Access (Jan 2024)

Comparing the Role of Long Duration Energy Storage Technologies for Zero-Carbon Electricity Systems

Sara Ashfaq,
Ilyass El Myasse,
Daming Zhang,
Ahmed S. Musleh,
Boyu Liu,
Ahmad A. Telba,
Usama Khaled,
Mohamed Metwally Mahmoud

Affiliations

Sara Ashfaq: ORCiD; Carnegie Institution, Stanford University, Stanford, CA, USA
Ilyass El Myasse: ORCiD; EEIS Laboratory, ENSET Mohammedia, Hassan II University of Casablanca, Mohammedia, Morocco
Daming Zhang: ORCiD; School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia
Ahmed S. Musleh: ORCiD; School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia
Boyu Liu: ORCiD; School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia
Ahmad A. Telba: Electrical Engineering Department Engineering, King Saud University, Riyadh, Saudi Arabia
Usama Khaled: ORCiD; Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan, Egypt
Mohamed Metwally Mahmoud: ORCiD; Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan, Egypt

DOI: https://doi.org/10.1109/ACCESS.2024.3397918
Journal volume & issue: Vol. 12
pp. 73169 – 73186

Abstract

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The successful integration of renewable energy resources into the power grid hinges on the development of energy storage technologies that are both cost-effective and reliable. These storage technologies, capable of storing energy for durations longer than 10 hours, play a crucial role in mitigating the variability inherent in wind and solar-dominant power systems. To shed light on this matter, a transparent, least-cost macro energy model with user-defined constraints has been utilized for a case study of California. The model addresses all included technologies, solving for both hourly dispatch and installed capacities. Real-world historical demand and hourly weather data have been utilized to do this analysis. A novel approach has been introduced to assess the significance of long-duration energy storage technologies (LDS) in terms of their energy and power capacity. This method explores the contributions of pumped hydropower storage (PHS), compressed air energy storage (CAES), and power-to-gas-to-power (PGP) storage toward minimizing the overall balance of system cost. Historical electricity demand, hourly weather data, and current technology costs are used to investigate high-level implications for California’s power system options. Increasing the storage capacity of each technology from 1 to 10 hours results in 29.6%, 14.4%, and 7.5% cost reduction for PHS, CAES, and PGP cases respectively. However, in studied simulations, maximum availability (maximum) of pumped hydropower storage reduces the balance of system costs by 72.3% followed by CAES (60.6%) and PGP (48.6%) and suggests that pumped hydropower storage in combination with CAES/PGP could play an important role in California’s electricity system, provided that suitable sites can be identified and constructed at reasonable costs.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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