4.5 Review

A Bibliometric Analysis of Solar Energy Forecasting Studies in Africa

期刊

ENERGIES
卷 15, 期 15, 页码 -

出版社

MDPI
DOI: 10.3390/en15155520

关键词

bibliometric review; emerging topics; current trends; low-carbon economy; thematic map analysis

资金

  1. Water Research Commission of South Africa [C2019/2020-00017, C2019/2020-00020]

向作者/读者索取更多资源

Solar energy forecasting research in Africa and southern Africa has seen steady growth over the past two decades, with South Africa leading in terms of research output. The emerging themes in this research include solar irradiance, artificial intelligence, and clear sky. This study contributes to the development of renewable energy projects and supports the transition to solar energy in Africa, as well as the pursuit of Sustainable Development Goals.
Solar energy forecasting is considered an essential scientific aspect in supporting efforts to integrate solar energy into power grids. Moreover, solar energy forecasting plays an essential role in mitigating greenhouse gas emissions and conserving energy for future use. This study conducted a bibliometric analysis to assess solar energy forecasting research studies evolution at the continental (Africa) and southern Africa levels. Key aspects of analysis included (i) scientific research trends, (ii) nature of collaboration networks, (iii) co-occurrence of keywords and (iv) emerging themes in solar energy forecasting over the last two decades, between the years 2000-2021. The results indicate that solar energy forecasting research has, on average, expanded by 6.4% and 3.3% in Africa and southern Africa, respectively. Based on the study context, solar energy forecasting research only gained momentum in 2015, peaking in 2019, but it is generally still subtle. The scientific mapping illustrated that only South Africa ranks among the leading countries that have produced high numbers of published documents and also leads in contributions to the research area in both Africa and southern Africa. Three emerging topics were identified from the thematic map analysis-namely, solar irradiance, artificial intelligence and clear sky, which implies that researchers are paying attention to solar irradiance, using modelling techniques that incorporate machine learning techniques. Overall, this study contributes to scientific information on the potential bankability of renewable energy projects that could assist power utilities, governments and policymakers in Africa to enforce the green economy through accelerated decarbonisation of the energy systems and building relationships with developed countries for support and better transitioning to solar energy. From a Water-Energy-Food nexus perspective, the results of this work could assist the scientific community in Africa to take advantage of the inherent interconnectedness of water, energy and food resources, whilst also advancing the use of integrated solutions to shape the focus of solar energy research into a more systems thinking and transdisciplinary approach involving the interconnected primary resources and stakeholders pursuit of the Sustainable Development Goals.

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