The climatological renewable energy deviation index (credi)

Journal Article (2024)
Authors

Laurens P. Stoop (TenneT TSO B.V., Universiteit Utrecht)

Karin Van Der Wiel (Royal Netherlands Meteorological Institute (KNMI))

William Zappa (TenneT TSO B.V.)

Arno Haverkamp (TenneT TSO B.V.)

Ad J. Feelders (Universiteit Utrecht)

Machteld A. Broek (TU Delft - Energy and Industry)

Research Group
Energy and Industry
Copyright
© 2024 Laurens P. Stoop, Karin Van Der Wiel, William Zappa, Arno Haverkamp, Ad J. Feelders, M.A. van den Broek
To reference this document use:
https://doi.org/10.1088/1748-9326/ad27b9
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 Laurens P. Stoop, Karin Van Der Wiel, William Zappa, Arno Haverkamp, Ad J. Feelders, M.A. van den Broek
Research Group
Energy and Industry
Issue number
3
Volume number
19
Pages (from-to)
1-11
DOI:
https://doi.org/10.1088/1748-9326/ad27b9
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Abstract

We propose an index to quantify and analyse the impact of climatological variability on the energy system at different timescales. We define the climatological renewable energy deviation index (credi) as the cumulative anomaly of a renewable resource with respect to its climate over a specific time period of interest. For this we introduce the smooth, yet physical, hourly rolling window climatology that captures the expected hourly to yearly behaviour of renewable resources. We analyse the presented index at decadal, annual and (sub-)seasonal timescales for a sample region and discuss scientific and practical implications. credi is meant as an analytical tool for researchers and stakeholders to help them quantify, understand, and explain, the impact of energy-meteorological variability on future energy system. Improved understanding translates to better assessments of how renewable resources, and the associated risks for energy security, may fare in current and future climatological settings. The practical use of the index is in resource planning. For example transmission system operators may be able to adjust short-term planning to reduce adequacy issues before they occur or combine the index with storyline event selection for improved assessments of climate change related risks.