International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2569

Full Length Research Paper

Multi-objective optimization of hybrid PV/wind/diesel/battery systems for decentralized application by minimizing the levelized cost of energy and the CO2 emissions

B. Ould Bilal
  • B. Ould Bilal
  • Ecole des Mines de Mauritanie (EMiM), BP : 5259 Nouakchott-Mauritanie, Sénégal.
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D. Nourou
  • D. Nourou
  • Laboratoire de Recherche Appliquée aux Energies Renouvelables de l?eau et du froid (LRAER), FST- Université des Sciences de Technologies et de Médecines (USMT), BP: 5026 Nouakchott-Mauritanie, Sénégal.
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C. M. F Kébé
  • C. M. F Kébé
  • Centre International de Formation et de Recherche en Energie Solaire (C.I.F.R.E.S), ESP-UCAD, BP: 5085 Dakar Fann Sénégal.
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V. Sambou
  • V. Sambou
  • Centre International de Formation et de Recherche en Energie Solaire (C.I.F.R.E.S), ESP-UCAD, BP: 5085 Dakar Fann Sénégal.
  • Google Scholar
P. A. Ndiaye
  • P. A. Ndiaye
  • Centre International de Formation et de Recherche en Energie Solaire (C.I.F.R.E.S), ESP-UCAD, BP: 5085 Dakar Fann Sénégal.
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M. Ndongo
  • M. Ndongo
  • Laboratoire de Recherche Appliquée aux Energies Renouvelables de l?eau et du froid (LRAER), FST- Université des Sciences de Technologies et de Médecines (USMT), BP: 5026 Nouakchott-Mauritanie, Sénégal.
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  •  Received: 20 December 2014
  •  Accepted: 02 February 2015
  •  Published: 16 March 2015

Abstract

The main objective of this paper is to propose a methodology to design and optimize a stand-alone hybrid PV/wind/diesel/battery minimizing the Levelized Cost of Energy (LCE) and the CO2 emission using a Multi-Objectives Genetic Algorithm approach. The methodology developed was applied using the solar radiation, temperature and the wind speed collected on the site of Potou located in the northwestern coast of Senegal. The LCE and the CO2 emission were computed for each solution and the results were presented as a Pareto front between LCE and the CO2 emission. These results show that as the LCE increases the CO2 emission decreases. For example, the solution A (left solution on the Pareto front) presents 2.05 €/kWh and 11.89 kgCO2/year, however the solution E (right solution on the Pareto front) shows 0.77 €/kWh and 10,839.55 kgCO2 /year. It was also noted that the only PV/battery or Wind/ battery was not an optimal configuration for this application on the site of Potou with the use of the load profile and the specifications of the used devices. For all solutions, the PV generator was more adapted to supply the energy demand than the wind turbines.

 

Key words: Hybrid system, optimization, genetic algorithm, cost of energy, CO2 emission.