A review of renewable energy development in Africa: A focus in South Africa, Egypt and Nigeria

Aliyu, Abubakar Kabir; Modu, Babagana; Tan, Chee Wei

doi:10.1016/j.rser.2017.06.055

Cited by 264 publications

(126 citation statements)

References 30 publications

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“…The country is located in West Africa, and it shares a border with Niger to the north, Benin to the west, Cameroon to the east, the Atlantic Ocean to the south, with Chad to the north-east [66]. It has a population of about 180 million and its abundant renewable energy resources are summarized in Table 3 [67][68][69].…”

Section: Microgrid Technologiesmentioning

confidence: 99%

“…Some existing studies in the literature have presented general barriers to renewable energy systems and microgrid systems development and application [19,59,66,68,85,119,124,125,169], however, this paper has proposed the STEEP framework for better insights into the issue of microgrid failure and barriers to microgrid planning, development and sustainability, how to mitigate barriers/drawbacks, and a general basis for planning localised microgrids/renewable energy systems for any location. Such a framework provides a holistic approach to capturing the issues and enabling factors of energy systems, which can aid the understanding of and future contributions in microgrids.…”

Section: Prospects Of Microgridsmentioning

confidence: 99%

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Challenges of Microgrids in Remote Communities: A STEEP Model Application

2018

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Abstract:There is a growing interest in the application of microgrids around the world because of their potential for achieving a flexible, reliable, efficient and smart electrical grid system and supplying energy to off-grid communities, including their economic benefits. Several research studies have examined the application issues of microgrids. However, a lack of in-depth considerations for the enabling planning conditions has been identified as a major reason why microgrids fail in several off-grid communities. This development requires research efforts that consider better strategies and framework for sustainable microgrids in remote communities. This paper first presents a comprehensive review of microgrid technologies and their applications. It then proposes the STEEP model to examine critically the failure factors based on the social, technical, economic, environmental and policy (STEEP) perspectives. The model details the key dimensions and actions necessary for addressing the challenge of microgrid failure in remote communities. The study uses remote communities within Nigeria, West Africa, as case studies and demonstrates the need for the STEEP approach for better understanding of microgrid planning and development. Better insights into microgrid systems are expected to address the drawbacks and improve the situation that can lead to widespread and sustainable applications in off-grid communities around the world in the future. The paper introduces the sustainable planning framework (SPF) based on the STEEP model, which can form a general basis for planning microgrids in any remote location.

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Section: Microgrid Technologiesmentioning

confidence: 99%

Section: Prospects Of Microgridsmentioning

confidence: 99%

Challenges of Microgrids in Remote Communities: A STEEP Model Application

2018

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“…However, inadequate electricity generation remains an issue (Suberu et al, 2013;Aliyu et al, 2018). The development of the RE sector has the potential of limiting harmful emissions, providing sufficient electricity for its teeming population and also promoting sustainable development objectives.…”

Section: Introductionmentioning

confidence: 99%

Determinants of renewable energy growth in Sub-Saharan Africa: Evidence from panel ARDL

Silva

Cerqueira

Ogbe

2018

Energy

241

113

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Given the importance of renewable energy in the discussion of a reliable and sustainable energy future, it is imperative to understand its main determinants and to draw result implications for energy policy. This study analyses these determinants for Sub-Saharan Africa. Using a panel data technique, namely the panel-ARDL model for a period covering 1990-2014, the results suggest that economic development (per capita GDP) and an increased use of energy aid renewable energy development while population growth impedes it. Furthermore, the study investigates the potentials and current status of renewable energy in Sub-Saharan Africa. This article shows that although the region has great potential for developing renewable energy such as wind, biomass, solar and hydropower, dispersed throughout the continent, this potential has not been fully explored, even though many resources are plentifully available, and evidence good economic potential.

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“…South Africa is a country that the energy sources are diversified, such as solar energy and wind energy [12,47,48]; however, its coal consumption represents 88.7% of the total consumption of the whole African continent. In addition, it covers 69.6% of the energy consumption of South Africa.…”

Section: Discussionmentioning

confidence: 99%

“…The MGM is different from NGM, which has no power coefficient and the specific form is shown in Equation (12). Through differentiation processing, its solution is presented in Equation (14).…”

Section: The Metabolic Grey Modelmentioning

confidence: 99%

Predicting Coal Consumption in South Africa Based on Linear (Metabolic Grey Model), Nonlinear (Non-Linear Grey Model), and Combined (Metabolic Grey Model-Autoregressive Integrated Moving Average Model) Models

et al. 2018

Sustainability

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South Africa's coal consumption accounts for 69.6% of the total energy consumption of South Africa, and this represents more than 88% of African coal consumption, taking the first place in Africa. Thus, predicting the coal demand is necessary, in order to ensure the supply and demand balance of energy, reduce carbon emissions and promote a sustainable development of economy and society. In this study, the linear (Metabolic Grey

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A review of renewable energy development in Africa: A focus in South Africa, Egypt and Nigeria

Cited by 264 publications

References 30 publications

Challenges of Microgrids in Remote Communities: A STEEP Model Application

Challenges of Microgrids in Remote Communities: A STEEP Model Application

Determinants of renewable energy growth in Sub-Saharan Africa: Evidence from panel ARDL

Predicting Coal Consumption in South Africa Based on Linear (Metabolic Grey Model), Nonlinear (Non-Linear Grey Model), and Combined (Metabolic Grey Model-Autoregressive Integrated Moving Average Model) Models

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