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Sizing optimization of a stand-alone street lighting system powered by a hybrid system using fuel cell, PV and battery

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  • Lagorse, Jeremy
  • Paire, Damien
  • Miraoui, Abdellatif

Abstract

Currently commercialised stand-alone street lighting systems based on the classical configuration coupling photovoltaic cells (PV) and battery cannot work all the year round in regions that are far from the equator. To improve the classical system, a hybrid system coupling a PV, a battery and a fuel cell is proposed. However, the sizing method of hybrid systems is a key issue in obtaining the cheapest system. To optimise the system, an original time-saving method is applied. Two optimization methods are used: first the genetic algorithms, then the simplex algorithms. A simulation model is used to evaluate the validity of the different hybrid configurations. After presenting the problem of stand-alone street lighting, the optimization methodology and the simulation model are detailed. Finally, an optimal configuration is obtained and shows that a 60W street light would cost 7150€ with a lifetime of 25 years. The optimised parameters are also given and analysed.

Suggested Citation

  • Lagorse, Jeremy & Paire, Damien & Miraoui, Abdellatif, 2009. "Sizing optimization of a stand-alone street lighting system powered by a hybrid system using fuel cell, PV and battery," Renewable Energy, Elsevier, vol. 34(3), pages 683-691.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:3:p:683-691
    DOI: 10.1016/j.renene.2008.05.030
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    References listed on IDEAS

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    1. Santarelli, M. & Pellegrino, D., 2005. "Mathematical optimization of a RES-H2 plant using a black box algorithm," Renewable Energy, Elsevier, vol. 30(4), pages 493-510.
    2. Maheri, Alireza & Noroozi, Siamak & Vinney, John, 2007. "Application of combined analytical/FEA coupled aero-structure simulation in design of wind turbine adaptive blades," Renewable Energy, Elsevier, vol. 32(12), pages 2011-2018.
    3. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Contreras, Javier, 2007. "Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage," Renewable Energy, Elsevier, vol. 32(7), pages 1102-1126.
    4. Grady, S.A. & Hussaini, M.Y. & Abdullah, M.M., 2005. "Placement of wind turbines using genetic algorithms," Renewable Energy, Elsevier, vol. 30(2), pages 259-270.
    5. Shaahid, S.M. & Elhadidy, M.A., 2008. "Economic analysis of hybrid photovoltaic-diesel-battery power systems for residential loads in hot regions--A step to clean future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 488-503, February.
    6. Nelson, D.B. & Nehrir, M.H. & Wang, C., 2006. "Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems," Renewable Energy, Elsevier, vol. 31(10), pages 1641-1656.
    7. Duic, Neven & da Graça Carvalho, Maria, 2004. "Increasing renewable energy sources in island energy supply: case study Porto Santo," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 383-399, August.
    8. Schjølberg, Ingrid & Østdahl, Anne B., 2008. "Security and tolerable risk for hydrogen service stations," Technology in Society, Elsevier, vol. 30(1), pages 64-70.
    Full references (including those not matched with items on IDEAS)

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