Oahu as a case study for island electricity systems relying on wind and solar generation instead of imported petroleum fuels
Abstract
A macro-scale electricity model was used to evaluate whether wind and solar generation, combined with short- and long-duration energy storage, could cost-effectively provide 100% of Oahu's electricity. A least-cost renewable electricity system was developed with 100% of hourly averaged demand met, based on 14 consecutive years of hourly wind and solar resource and electricity demand data. The system used current asset costs for wind generation, solar generation, short-duration battery storage, and long-duration hydrogen energy storage. Our results indicate that Oahu could transition to an electricity system reliant on wind and solar generation and battery and hydrogen storage with electricity costs lower than today's electricity costs. For Oahu, a least-cost wind-solar-battery electricity system that would have met 100% of hourly averaged demand would have a system cost of $0.2458 per kWh. In comparison, from October 2022 through September 2023, electricity generation costs from the petroleum-dominated electricity system on Oahu were between $0.2126/kWh and $0.2987/kWh. This wind-solar-battery system would require 332 km2 (21.4%) of Oahu's land. Moreover, including hydrogen storage as a second form of energy storage led to reductions in system cost and land use. At current asset costs, a least-cost wind-solar-battery‑hydrogen electricity system that would have met 100% of hourly averaged demand would have a system cost of $0.1673/kWh and require 265 km2 (17.1%) of Oahu's land. This case study indicates that other isolated regions with similar resource profiles and a reliance on imported petroleum fuels could realize a decrease in electricity system costs when switching to renewables in conjunction with short- and long-duration energy storage, at current asset costs, while meeting demand in full over extended periods of renewable resource variability.
Copyright and License
© 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Contributions
Dominic Covelli: Writing – original draft, Software, Methodology, Formal analysis, Conceptualization. Edgar Virgüez: Writing – original draft, Software, Formal analysis, Conceptualization. Ken Caldeira: Writing – review & editing, Conceptualization. Nathan S. Lewis: Writing – review & editing, Conceptualization.
Conflict of Interest
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Nathan S. Lewis reports financial support was provided by the Southern California Gas Company. Other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Funding
This work was supported by a fellowship at Caltech from SoCalGas in support of Low Carbon Energy Science and Policy. Edgar Virgüez was supported by a gift to Carnegie Science from Gates Ventures LLC.
Data Availability
The link to the Zenodo repository of the Github repository for the project is provided in the text of the manuscript
Additional Information
Appendix A. Supplementary data.
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Additional details
- Science and Public Policy Institute
- Gates Ventures
- Southern California Gas Company
- Publication Status
- Published