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Reducing RES Droughts through the integration of wind and PV

Reducing RES Droughts through the integration of wind and PV

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.renene.2025.123392. This is version 2 of this Preprint.

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Authors

Boris Morin , Aina Maimó Far, Damian Flynn, Conor Sweeney

Abstract

Increasing the share of electricity produced from renewable energy sources (RES), combined with RES dependence on weather, poses a critical challenge for energy systems. This study investigates the importance of the balance between wind and solar photovoltaic (PV) capacity on periods of low renewable generation, known as RES droughts. Three different RES datasets are used to estimate the capacity factors for different scenarios of installed capacities for wind and solar PV power. The skill of the RES datasets is quantified by comparing capacity factor time series to observed hourly data and by assessing their representation of observed RES droughts. The RES datasets are used to generate a 45-year hourly time series of RES capacity factor, enabling analysis of the frequency, duration and return periods of RES droughts at a climatological scale. Results show the importance of using an accurate, validated RES dataset for RES drought risk assessment. The addition of solar PV capacity to a wind-dominated system results in a significant reduction in the frequency and duration of RES droughts, while also reducing extremes and seasonal RES drought patterns. These findings underscore the importance of diversification in RES capacity to enhance energy security and resilience.

DOI

https://doi.org/10.31223/X51437

Subjects

Environmental Indicators and Impact Assessment, Power and Energy

Keywords

RES Drought, wind power, Solar PV Power, Renewable Energy Sources

Dates

Published: 2025-02-07 16:47

Last Updated: 2025-06-05 00:18

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
The data and code required to reproduce the analysis in this article will be made available upon acceptance of the manuscript from a peer reviewed journal in a public GitHub repository.