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Heuristic indicators for the design of community off-grid electrification systems based on multiple renewable energies

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  • Ranaboldo, Matteo
  • Ferrer-Martí, Laia
  • García-Villoria, Alberto
  • Pastor Moreno, Rafael

Abstract

Off-grid rural electrification project configurations which consider hybrid generation systems based on multiple renewable sources and the implementation of micro-grids are the most promising design solutions. The efficient design of those systems is a complex task that is facing several technical issues such as limited time and resources available for the purpose, especially in developing countries. This study proposes indicators for supporting and improving the design of community off-grid electrification projects considering hybrid generation and micro-grids. A (Grid Generation Score) GGS is defined in order to identify most promising locations for being the generation point of a micro-grid. The (No-Generation Score) NGS and the (Independent Generation Score) IGS evaluate respectively if a point should be reliably connected to a micro-grid or should better be an independent generation point. All indicators could be easily and quickly calculated at a very first stage of the plan of a community project requiring as input data only demand and resource distributions in the studied area. It is shown that the utilization of proposed indictors can enhance the design of stand-alone community electrification projects based on renewable energies.

Suggested Citation

  • Ranaboldo, Matteo & Ferrer-Martí, Laia & García-Villoria, Alberto & Pastor Moreno, Rafael, 2013. "Heuristic indicators for the design of community off-grid electrification systems based on multiple renewable energies," Energy, Elsevier, vol. 50(C), pages 501-512.
    • Handle: RePEc:eee:energy:v:50:y:2013:i:c:p:501-512
    DOI: 10.1016/j.energy.2012.11.025
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    4. Komatsu, Satoru & Kaneko, Shinji & Ghosh, Partha Pratim & Morinaga, Akane, 2013. "Determinants of user satisfaction with solar home systems in rural Bangladesh," Energy, Elsevier, vol. 61(C), pages 52-58.
    5. Abdelkader, Abbassi & Rabeh, Abbassi & Mohamed Ali, Dami & Mohamed, Jemli, 2018. "Multi-objective genetic algorithm based sizing optimization of a stand-alone wind/PV power supply system with enhanced battery/supercapacitor hybrid energy storage," Energy, Elsevier, vol. 163(C), pages 351-363.
    6. Klein, Sharon J.W. & Coffey, Stephanie, 2016. "Building a sustainable energy future, one community at a time," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 867-880.
    7. Borhanazad, Hanieh & Mekhilef, Saad & Gounder Ganapathy, Velappa & Modiri-Delshad, Mostafa & Mirtaheri, Ali, 2014. "Optimization of micro-grid system using MOPSO," Renewable Energy, Elsevier, vol. 71(C), pages 295-306.
    8. Giaouris, Damian & Papadopoulos, Athanasios I. & Ziogou, Chrysovalantou & Ipsakis, Dimitris & Voutetakis, Spyros & Papadopoulou, Simira & Seferlis, Panos & Stergiopoulos, Fotis & Elmasides, Costas, 2013. "Performance investigation of a hybrid renewable power generation and storage system using systemic power management models," Energy, Elsevier, vol. 61(C), pages 621-635.
    9. Ranaboldo, Matteo & García-Villoria, Alberto & Ferrer-Martí, Laia & Pastor Moreno, Rafael, 2014. "A heuristic method to design autonomous village electrification projects with renewable energies," Energy, Elsevier, vol. 73(C), pages 96-109.
    10. Yilmaz, Saban & Dincer, Furkan, 2017. "Optimal design of hybrid PV-Diesel-Battery systems for isolated lands: A case study for Kilis, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 344-352.
    11. Ranaboldo, Matteo & García-Villoria, Alberto & Ferrer-Martí, Laia & Pastor Moreno, Rafael, 2015. "A meta-heuristic method to design off-grid community electrification projects with renewable energies," Energy, Elsevier, vol. 93(P2), pages 2467-2482.
    12. García-Villoria, Alberto & Domenech, Bruno & Ferrer-Martí, Laia & Juanpera, Marc & Pastor, Rafael, 2020. "Ad-hoc heuristic for design of wind-photovoltaic electrification systems, including management constraints," Energy, Elsevier, vol. 212(C).
    13. Mandelli, Stefano & Barbieri, Jacopo & Mereu, Riccardo & Colombo, Emanuela, 2016. "Off-grid systems for rural electrification in developing countries: Definitions, classification and a comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1621-1646.

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