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Direct current microgrids based on solar power systems and storage optimization, as a tool for cost-effective rural electrification

Author

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  • Gandini, Dario
  • de Almeida, Anibal T.

Abstract

Around 20% of world population lives without electricity access, most of them are concentrated in Sub-Saharan rural areas. Traditional approaches to electrify rural areas imply capital intensive infrastructures and large investments, while DC microgrids, based on renewable sources and storage systems, can be easily implementable and lead to cost effective solutions. The use of super efficient appliances can dramatically reduce the households electricity consumption, leading to smaller and cheaper systems. In this study an analysis of the use of efficient DC appliances is performed starting by essential energy services. Solar home system design optimization can be achieved by the evaluation of irradiation variation and the load requirements, finding the most cost-effective solution. Rural electrification can have a major impact to drastically improve the quality of life of millions of people through the sustainable use of solar energy.

Suggested Citation

  • Gandini, Dario & de Almeida, Anibal T., 2017. "Direct current microgrids based on solar power systems and storage optimization, as a tool for cost-effective rural electrification," Renewable Energy, Elsevier, vol. 111(C), pages 275-283.
  • Handle: RePEc:eee:renene:v:111:y:2017:i:c:p:275-283
    DOI: 10.1016/j.renene.2017.04.009
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    Citations

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    Cited by:

    1. Subramanian Vasantharaj & Vairavasundaram Indragandhi & Vairavasundaram Subramaniyaswamy & Yuvaraja Teekaraman & Ramya Kuppusamy & Srete Nikolovski, 2021. "Efficient Control of DC Microgrid with Hybrid PV—Fuel Cell and Energy Storage Systems," Energies, MDPI, vol. 14(11), pages 1-18, June.
    2. Juanpera, M. & Domenech, B. & Ferrer-Martí, L. & Garzón, A. & Pastor, R., 2021. "Renewable-based electrification for remote locations. Does short-term success endure over time? A case study in Peru," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    3. Juanpera, M. & Blechinger, P. & Ferrer-Martí, L. & Hoffmann, M.M. & Pastor, R., 2020. "Multicriteria-based methodology for the design of rural electrification systems. A case study in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    4. Bruno Domenech & Laia Ferrer‐Martí & Rafael Pastor, 2019. "Comparison of various approaches to design wind‐PV rural electrification projects in remote areas of developing countries," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(3), May.
    5. Khan, Hassan Abbas & Ahmad, Husnain Fateh & Nasir, Mashood & Nadeem, Muhammad Fatiq & Zaffar, Nauman Ahmed, 2018. "Decentralised electric power delivery for rural electrification in Pakistan," Energy Policy, Elsevier, vol. 120(C), pages 312-323.
    6. Domenech, B. & Ranaboldo, M. & Ferrer-Martí, L. & Pastor, R. & Flynn, D., 2018. "Local and regional microgrid models to optimise the design of isolated electrification projects," Renewable Energy, Elsevier, vol. 119(C), pages 795-808.
    7. Bhandari, Ramchandra & Sessa, Vittorio & Adamou, Rabani, 2020. "Rural electrification in Africa – A willingness to pay assessment in Niger," Renewable Energy, Elsevier, vol. 161(C), pages 20-29.
    8. Yohannes Biru Aemro & Pedro Moura & Aníbal T. Almeida, 2021. "Inefficient cooking systems a challenge for sustainable development: a case of rural areas of Sub-Saharan Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14697-14721, October.
    9. Pereira, Géssica Michelle dos Santos & Weigert, Gabriela Rosalee & Macedo, Pablo Lopes & Silva, Kiane Alves e & Segura Salas, Cresencio Silvio & Gonçalves, Antônio Maurício de Matos & Nascimento, Hebe, 2022. "Quasi-dynamic operation and maintenance plan for photovoltaic systems in remote areas: The framework of Pantanal-MS," Renewable Energy, Elsevier, vol. 181(C), pages 404-416.

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