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Published August 25, 2021 | Published + Supplemental Material
Journal Article Open

Opportunities for flexible electricity loads such as hydrogen production from curtailed generation

Abstract

Variable, low-cost, low-carbon electricity that would otherwise be curtailed may provide a substantial economic opportunity for entities that can flexibly adapt their electricity consumption. We used historical hourly weather data over the contiguous U.S. to model the characteristics of least-cost electricity systems dominated by variable renewable generation that powered firm and flexible electricity demands (loads). Scenarios evaluated included variable wind and solar power, battery storage, and dispatchable natural gas with carbon capture and storage, with electrolytic hydrogen representing a prototypical flexible load. When flexible loads were small, excess generation capacity was available during most hours, allowing flexible loads to operate at high capacity factors. Expanding the flexible loads allowed the least-cost systems to more fully utilize the generation capacity built to supply firm loads, and thus reduced the average cost of delivered electricity. The macro-scale energy model indicated that variable renewable electricity systems optimized to supply firm loads at current costs could supply ~25% or more additional flexible load with minimal capacity expansion, while resulting in reduced average electricity costs (~10% or less capacity expansion and ~10% to 20% reduction in costs in our modeled scenarios). These results indicate that adding flexible loads to electricity systems will likely allow more full utilization of generation assets across a wide range of system architectures, thus providing new energy services with infrastructure that is already needed to supply firm electricity loads.

Additional Information

© 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Received 20 June 2021, Revised 23 June 2021, Accepted 23 June 2021, Available online 25 June 2021. We would like to thank Lei Duan of the Carnegie Institution for Science, Department of Global Ecology for calculation of the solar and wind capacity factors used in this study. We would also like to thank Enrico Antonini of the Carnegie Institution for Science, Department of Global Ecology for performing the wind and solar resource aggregation comparison. We would also like to thank the reviewers for their thorough review and thoughtful comments that resulted in an improved manuscript. This work is funded by a gift to the Carnegie Institution for Science from Gates Ventures, Inc. This work is also supported by the Fund for Innovative Climate and Energy Research. J.A.D. acknowledges a fellowship from SoCalGas in support of Low Carbon Energy Science and Policy. Data and code availability: In the interest of transparency and reproducibility, all model code, input data, and analysis results are publicly available and documented at https://github.com/carnegie/SEM_public/tree/Ruggles_et_al_2021. CRediT authorship contribution statement: Tyler H. Ruggles: Conceptualization, Methodology, Formal analysis, Writing - original draft, Writing - review & editing. Jacqueline A. Dowling: Formal analysis, Resources, Writing - review & editing. Nathan S. Lewis: Conceptualization, Methodology, Writing - review & editing. Ken Caldeira: Conceptualization, Methodology, Writing - review & editing, Funding acquisition. The 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.

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Supplemental Material - 1-s2.0-S2666792421000433-mmc1.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023