Published September 2024 | Published
Journal Article Open

Planning reliable wind- and solar-based electricity systems

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Abstract

Resource adequacy, or ensuring that electricity supply reliably meets demand, is more challenging for wind- and solar-based electricity systems than fossil-fuel-based ones. Here, we investigate how the number of years of past weather data used in designing least-cost systems relying on wind, solar, and energy storage affects resource adequacy. We find that nearly 40 years of weather data are required to plan highly reliable systems (e.g., zero lost load over a decade). In comparison, this same adequacy could be attained with 15 years of weather data when additionally allowing traditional dispatchable generation to supply 5 % of electricity demand. We further observe that the marginal cost of improving resource adequacy increased as more years, and thus more weather variability, were considered for planning. Our results suggest that ensuring the reliability of wind- and solar-based systems will require using considerably more weather data in system planning than is the current practice. However, when considering the potential costs associated with unmet electricity demand, fewer planning years may suffice to balance costs against operational reliability.

Copyright and License

© 2024 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/).

 

Acknowledgement

TR is currently a Senior Analytics and Modeling Engineer at Powertech USA, Inc. TR produced most of his contributions to this work while he was affiliated full time to Carnegie Science.

Funding

TR, EV, JD, EA, and KC acknowledge the financial support from Gates Ventures through a gift provided to Carnegie Science.

Contributions

Tyler H. Ruggles: Writing – review & editing, Writing – original draft, Visualization, Methodology, Formal analysis, Data curation, Conceptualization. Edgar Virgüez: Writing – review & editing, Writing – original draft, Visualization, Methodology, Formal analysis, Conceptualization. Natasha Reich: Writing – review & editing, Visualization, Methodology, Formal analysis. Jacqueline Dowling: Writing – review & editing, Visualization, Methodology. Hannah Bloomfield: Writing – review & editing, Methodology. Enrico G.A. Antonini: Writing – review & editing. Steven J. Davis: Writing – review & editing, Writing – original draft, Visualization, Supervision, Methodology, Conceptualization. Nathan S. Lewis: Writing – review & editing, Writing – original draft, Supervision, Methodology, Conceptualization. Ken Caldeira: Writing – review & editing, Writing – original draft, Visualization, Supervision, Methodology, Funding acquisition, Formal analysis, Data curation, Conceptualization.

Data Availability

A link to the model code and data files used in this study are included in the "Data and code availability" section of this manuscript.

Code Availability

All model code, input data, and analysis results are publicly available and documented at: https://github.com/Carnegie/MEM_public/tree/Ruggles_et_al_2024.

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Additional details

Created:
September 18, 2024
Modified:
September 30, 2024