Optimum Hybrid Renewable Energy Systems Suitable For Remote Area

Mohammad Fathi, Atieh Mehrabipour, Amin Mahmoudi, Abdullah Asuhaimi Bin Mohd Zin, Makbul A.M. Ramli

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

An optimum hybrid renewable energy system (HRES) includes diesel as main sources combine with wind and solar energy as intermittent renewable energy sources with a battery bank storage is proposed to achieve the load demand of a remote village, Kiyalo, in west of Iran. The optimized system is based on the feasibility, load profile, and environmental consideration of this village. The aim is to have an environment-friendly energy system, reasonably priced over the long-term, with high sustainability and reliability. To explore suitability of the proposal system, a diesel-based power system as an eco-unfriendly system is balanced with the proposal eco-friendly system. National Renewable Energy Laboratory’s (NREL) HOMER software is applied to assess and contrast the best possible configuration of green energy system with the diesel-based power system in terms of sensitivity analysis, greenhouse gas emission, and net present cost. The optimization of the eco-friendly energy system is fulfilled through unit sizing to discover the optimum power management with minimum cost of the system. The HRES can handle the entire load consumption at a much lower cost and greenhouse gas emission and with much more reliability and sustainability as compare to that of standalone diesel energy system.

Original languageEnglish
Pages (from-to)147-159
Number of pages13
JournalSmart Science
Volume7
Issue number2
DOIs
Publication statusPublished - 8 Apr 2019

Keywords

  • Diesel energy system
  • environmentally-friendly energy system
  • green energy system
  • hybrid PV/wind/battery system
  • hybrid renewable energy systems (HRESs)
  • optimal energy system

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  • Cite this

    Fathi, M., Mehrabipour, A., Mahmoudi, A., Mohd Zin, A. A. B., & Ramli, M. A. M. (2019). Optimum Hybrid Renewable Energy Systems Suitable For Remote Area. Smart Science, 7(2), 147-159. https://doi.org/10.1080/23080477.2019.1600111