Seasonality and trade in hydro-heavy electricity markets: A case study with the West Africa Power Pool (WAPP)
•The rainy season has a significant impact on the electricity trade across West Africa.•Soft-linked a multi-region capacity expansion model with a global hydrologic model to account for seasonal electricity trade.•Rainy-to-dry season transition reduces hydroelectricity generation by 40% every year.•...
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Veröffentlicht in: | Applied energy 2023-01, Vol.329 (C), p.120214, Article 120214 |
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Sprache: | eng |
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Zusammenfassung: | •The rainy season has a significant impact on the electricity trade across West Africa.•Soft-linked a multi-region capacity expansion model with a global hydrologic model to account for seasonal electricity trade.•Rainy-to-dry season transition reduces hydroelectricity generation by 40% every year.•This study may serve as a useful test case to inform modeling efforts in other regions.
Hydroelectric power plants account for 25% of West Africa's total installed electricity generation capacity. In general, electricity generated by these plants is seasonal, and intra-annual fluctuationshave a considerable impact on electricity supply and cross-border electricity trade. This study soft-links a global hydrologic model to a multi-region capacity expansion and planning model for the West Africa Power Pool (WAPP) to examine the effects of seasonality in hydropower electricity generation on electricity trade as well as the economic benefits of unconstrainedcross-border electricity trade. Transitioning from a rainy to a dry season decreases hydroelectricity generation by an average of 40% in a typical year. Between 2018 and 2050, satisfying the region's electricity demand will require significant capital investment; nevertheless, extending from current bilateral electricity trade agreements to a fully competitive cross-border electricitytrade will result in net annual savings of $3 billion in 2015 dollars. To achieve year-round energy security, countries should plan to diversify their energy sources to ensure that supply reliability can be maintained in the event of lower supply during the dry season. This study represents a novel examination of seasonality impacts on hydropower modeling and may serve as a test case to inform future modeling efforts in other regions. |
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ISSN: | 0306-2619 1872-9118 |
DOI: | 10.1016/j.apenergy.2022.120214 |