Abstract
Sub-Saharan Africa (SSA) has the lowest energy access rates in the world, which poses a key barrier to power system development. Deployment of renewables, including wind and solar power, will play a key role in expanding electricity supply across SSA: distributed generation (enabling access for remote communities), cost-effectiveness and low emissions are key advantages. However, renewable generation is weather dependent; therefore, including more renewables increases the amount of meteorologically driven variability in the power system. Two countries in SSA are chosen for detailed investigation of this meteorologically driven variability: Senegal in West Africa and Kenya in East Africa. These are chosen due to being areas of dense population, where there is operational wind and solar power, and plans for regional expansion. In Senegal, solar generation is fairly consistent throughout the year, while wind generation exhibits strong seasonality, with a peak in the boreal spring. Low wind and solar power generation days during the boreal summer are found to be related to the passage of African Easterly Waves. Over Kenya, both wind and solar generation exhibit seasonal variability, with wind generation peaking during boreal autumn, and solar generation at a minimum during boreal summer. Inter-annual variability in generation is greater over Kenya than over Senegal; the El Nino Southern Oscillation is found to impact wind and solar generation over Kenya. El Nino phases are associated with lower wind and solar generation in October–December over Kenya, but higher generation in July–September. This improved understanding of variability will assist system planners in designing reliable future energy systems.
| Original language | English |
|---|---|
| Article number | e2093 |
| Number of pages | 19 |
| Journal | Meteorological Applications |
| Volume | 29 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 10 Oct 2022 |
Bibliographical note
Funding Information:While working on this project, Hannah C. Bloomfield was funded by the Engineering and Physical Sciences Research Council, UK through grant no. EP/S00078X/1 (Supergen Energy Networks hub 2018) as part of the Supergen Energy Network's CLEARHEADS project. Caroline M. Wainwright was supported by UK Research and Innovation as part of the Global Challenges Research Fund, African SWIFT programme, grant number NE/P021077/1. Nick Mitchell was funded by the Undergraduate Research Opportunities Program (UROP) scheme at the University of Reading.
Publisher Copyright:
© 2022 The Authors. Meteorological Applications published by John Wiley & Sons Ltd on behalf of Royal Meteorological Society.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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