Impact of drought on hydropower generation in the Volta River basin and future projections under different climate and development pathways

IF 5.8 Q2 ENERGY & FUELS
Akwasi Adu-Poku , Ebenezer K. Siabi , Nathaniel Oppong Otchere , Francis B. Effah , Edward A. Awafo , Francis Kemausuor , Mashael Yazdanie
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Abstract

Hydropower is a major electricity source for Ghana, supplying about 28 % of the national generation capacity. Looking to the future, Ghana's vulnerability to drought may intensify with climate change projections in the Volta Basin indicating higher temperatures, more frequent extreme weather events and greater rainfall variability, which could exacerbate drought risks, alter river flow and disrupt electricity production from dams. This poses major energy security concerns for Ghana, which depends heavily on hydropower and has limited capacity to adapt. Therefore, this study evaluated the potential impacts of future droughts, measured by the Standardized Precipitation Evapotranspiration Index (SPEI), on hydropower generation and electricity pricing in Ghana under different Shared Socioeconomic Pathway (SSP) scenarios. A statistically significant Random Forest Regression model driven by SPEI projections was developed to forecast hydropower output from Ghana's largest hydropower plant, the Akosombo Dam, through 2050. Results indicate drought risks across SSPs, with more frequent hydropower generation deficits compared to optimal historical baseline averages. As generation fluctuates, electricity prices are forecast to continue rising substantially, although favourable socioeconomic pathways like SSP1 can limit price spikes. The findings underscore the importance of diversifying Ghana's electricity mix and implementing climate adaptation measures to hedge against increasing uncertainty in hydropower resources. The insights provide vital information to guide power sector planning and policies to build climate resilience.
干旱对沃尔塔河流域水力发电的影响以及不同气候和发展路径下的未来预测
水力发电是加纳的主要电力来源,约占全国发电量的 28%。展望未来,加纳易受干旱影响的程度可能会加剧,因为沃尔特河流域的气候变化预测表明,气温会升高,极端天气事件会更加频繁,降雨量的变化也会更大,这可能会加剧干旱风险,改变河流流量,干扰大坝的发电量。这给严重依赖水力发电且适应能力有限的加纳带来了重大的能源安全问题。因此,本研究评估了在不同的共享社会经济路径 (SSP) 情景下,以标准化降水蒸散指数 (SPEI) 衡量的未来干旱对加纳水力发电和电价的潜在影响。由 SPEI 预测驱动的随机森林回归模型具有统计意义,可预测加纳最大的水电站 Akosombo 大坝到 2050 年的水力发电量。结果表明,各 SSP 均存在干旱风险,与最佳历史基线平均值相比,水力发电赤字更为频繁。随着发电量的波动,预计电价将继续大幅上涨,尽管 SSP1 等有利的社会经济路径可以限制电价飙升。研究结果强调了加纳电力结构多样化和实施气候适应措施的重要性,以应对水电资源日益增加的不确定性。这些见解为指导电力部门的规划和政策提供了重要信息,以增强气候适应能力。
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来源期刊
Energy and climate change
Energy and climate change Global and Planetary Change, Renewable Energy, Sustainability and the Environment, Management, Monitoring, Policy and Law
CiteScore
7.90
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0.00%
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