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Optimal Allocation of a Hybrid Photovoltaic Biogas Energy System Using Multi-Objective Feasibility Enhanced Particle Swarm Algorithm

Author

Listed:
  • Hussein M. K. Al-Masri

    (Department of Electrical Power Engineering, Yarmouk University, Irbid 21163, Jordan)

  • Abed A. Al-Sharqi

    (Department of Electrical Power Engineering, Yarmouk University, Irbid 21163, Jordan)

  • Sharaf K. Magableh

    (Department of Electrical Power Engineering, Yarmouk University, Irbid 21163, Jordan)

  • Ali Q. Al-Shetwi

    (Electrical Engineering Department, Fahad Bin Sultan University, Tabuk 47721, Saudi Arabia)

  • Maher G. M. Abdolrasol

    (Department of Electric, Electronics and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia)

  • Taha Selim Ustun

    (Fukushima Renewable Energy Institute, AIST (FREA), National Institute of Advanced Industrial Science and Technology (AIST), Koriyama 963-0298, Japan)

Abstract

This paper aims to investigate a hybrid photovoltaic (PV) biogas on-grid energy system in Al-Ghabawi territory, Amman, Jordan. The system is accomplished by assessing the system’s reliability and economic viability. Realistic hourly measurements of solar irradiance, ambient temperature, municipal solid waste, and load demand in 2020 were obtained from Jordanian governmental entities. This helps in investigating the proposed system on a real megawatt-scale retrofitting power system. Three case scenarios were performed: loss of power supply probability (LPSP) with total net present cost (TNPC), LPSP with an annualized cost of the system (ACS), and TNPC with the index of reliability (IR). Pareto frontiers were obtained using multi-objective feasibility enhanced particle swarm optimization (MOFEPSO) algorithm. The system’s decision variables were the number of PV panels ( N pv ) and the number of biogas plant working hours per day ( t biogas ). Moreover, three non-dominant Pareto frontier solutions are discussed, including reliable, affordable, and best solutions obtained by fuzzy logic. Double-diode (DD) solar PV model was implemented to obtain an accurate sizing of the proposed system. For instance, the best solution of the third case is held at TNPC of 64.504 million USD/yr and IR of 96.048%. These findings were revealed at 33,459 panels and 12.498 h/day. Further, system emissions for each scenario have been tested. Finally, decision makers are invited to adopt to the findings and energy management strategy of this paper to find reliable and cost-effective best solutions.

Suggested Citation

  • Hussein M. K. Al-Masri & Abed A. Al-Sharqi & Sharaf K. Magableh & Ali Q. Al-Shetwi & Maher G. M. Abdolrasol & Taha Selim Ustun, 2022. "Optimal Allocation of a Hybrid Photovoltaic Biogas Energy System Using Multi-Objective Feasibility Enhanced Particle Swarm Algorithm," Sustainability, MDPI, vol. 14(2), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:685-:d:720607
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    References listed on IDEAS

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    1. Jaccard,Mark, 2006. "Sustainable Fossil Fuels," Cambridge Books, Cambridge University Press, number 9780521679794.
    2. N. Panwar, 2009. "Design and performance evaluation of energy efficient biomass gasifier based cookstove on multi fuels," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 14(7), pages 627-633, October.
    3. Ozgur Demirta, 2013. "Evaluating the Best Renewable Energy Technology for Sustainable Energy Plannin," International Journal of Energy Economics and Policy, Econjournals, vol. 3(Special), pages 23-33.
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    Cited by:

    1. Takele Ferede Agajie & Armand Fopah-Lele & Isaac Amoussou & Ahmed Ali & Baseem Khan & Emmanuel Tanyi, 2023. "Optimal Design and Mathematical Modeling of Hybrid Solar PV–Biogas Generator with Energy Storage Power Generation System in Multi-Objective Function Cases," Sustainability, MDPI, vol. 15(10), pages 1-26, May.
    2. Prashant & Anwar Shahzad Siddiqui & Md Sarwar & Ahmed Althobaiti & Sherif S. M. Ghoneim, 2022. "Optimal Location and Sizing of Distributed Generators in Power System Network with Power Quality Enhancement Using Fuzzy Logic Controlled D-STATCOM," Sustainability, MDPI, vol. 14(6), pages 1-31, March.

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