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Sustainable renewable energy resources utilization in rural areas

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  • Woldeyohannes, Abraham Debebe
  • Woldemichael, Dereje Engida
  • Baheta, Aklilu Tesfamichael

Abstract

This paper aims to address the issues related to renewable energy (RE) resources optimization in the areas where providing power from main grid is challenging. A region having ten different sub-regions has been considered for the optimization based on transportation algorithm. The partitions are made based on customer segmentation to ensure that various scattered demand for the RE is represented at the best location to enhance energy optimization by minimizing the energy loss during transmission. Three cases, i.e., when the demand and supply are equal, when there is more demand than supply, and when the supply is greater than demand are considered for the analysis. For the first case, the total energy requirement and the energy potential available from the regions is 1.26GWh/year. For this scenario, most of the regions (seven regions) received the energy requirements from single RE source; three regions received the required energy from two different RE sources. The annual optimized total cost of energy supply for this scenario is determined to be $187,961.68. Results obtained from the transportation model have been validated based on other RE studies in the area. For the similar case study considered, it is noted that the minimized total cost obtained using transportation algorithm depicts an improvement in cost over integrated renewable energy system (IRES) models. The developed optimization model could be used as a decision making support tool to evaluate and select various alternative renewable energy resources and to determine the optimal locations for developing these resources.

Suggested Citation

  • Woldeyohannes, Abraham Debebe & Woldemichael, Dereje Engida & Baheta, Aklilu Tesfamichael, 2016. "Sustainable renewable energy resources utilization in rural areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 1-9.
    • Handle: RePEc:eee:rensus:v:66:y:2016:i:c:p:1-9
    DOI: 10.1016/j.rser.2016.07.013
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    1. Moura, Pedro S. & de Almeida, Aníbal T., 2010. "Multi-objective optimization of a mixed renewable system with demand-side management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1461-1468, June.
    2. Ashouri, Araz & Fux, Samuel S. & Benz, Michael J. & Guzzella, Lino, 2013. "Optimal design and operation of building services using mixed-integer linear programming techniques," Energy, Elsevier, vol. 59(C), pages 365-376.
    3. Ong, H.C. & Mahlia, T.M.I. & Masjuki, H.H., 2011. "A review on energy scenario and sustainable energy in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 639-647, January.
    4. Iniyan, S & Sumathy, K, 2000. "An optimal renewable energy model for various end-uses," Energy, Elsevier, vol. 25(6), pages 563-575.
    5. Iniyan, S & Suganthi, L & Jagadeesan, T.R & Samuel, Anand A, 2000. "Reliability based socio economic optimal renewable energy model for India," Renewable Energy, Elsevier, vol. 19(1), pages 291-297.
    6. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    7. Sharafi, Masoud & ELMekkawy, Tarek Y., 2014. "Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach," Renewable Energy, Elsevier, vol. 68(C), pages 67-79.
    8. Buoro, D. & Casisi, M. & De Nardi, A. & Pinamonti, P. & Reini, M., 2013. "Multicriteria optimization of a distributed energy supply system for an industrial area," Energy, Elsevier, vol. 58(C), pages 128-137.
    9. Alarcon-Rodriguez, Arturo & Ault, Graham & Galloway, Stuart, 2010. "Multi-objective planning of distributed energy resources: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1353-1366, June.
    10. Shuit, S.H. & Tan, K.T. & Lee, K.T. & Kamaruddin, A.H., 2009. "Oil palm biomass as a sustainable energy source: A Malaysian case study," Energy, Elsevier, vol. 34(9), pages 1225-1235.
    11. Hamedi, Maryam & Zanjirani Farahani, Reza & Husseini, Mohammad Moattar & Esmaeilian, Gholam Reza, 2009. "A distribution planning model for natural gas supply chain: A case study," Energy Policy, Elsevier, vol. 37(3), pages 799-812, March.
    12. Akella, A.K. & Sharma, M.P. & Saini, R.P., 2007. "Optimum utilization of renewable energy sources in a remote area," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 894-908, June.
    13. Omu, Akomeno & Choudhary, Ruchi & Boies, Adam, 2013. "Distributed energy resource system optimisation using mixed integer linear programming," Energy Policy, Elsevier, vol. 61(C), pages 249-266.
    14. Antunes, Carlos Henggeler & Gomes, lvaro, 2009. "Operational research models and methods in the energy sector," European Journal of Operational Research, Elsevier, vol. 197(3), pages 997-998, September.
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    5. Alkan, Ömer & Albayrak, Özlem Karadağ, 2020. "Ranking of renewable energy sources for regions in Turkey by fuzzy entropy based fuzzy COPRAS and fuzzy MULTIMOORA," Renewable Energy, Elsevier, vol. 162(C), pages 712-726.

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