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Techno-Economic Comparative Analysis of Two Hybrid Renewable Energy Systems for Powering a Simulated House, including a Hydrogen Vehicle Load at Jeju Island

Author

Listed:
  • Christelle Arielle Mbouteu Megaptche

    (Department of Physics, University of Nairobi, Nairobi P.O. Box 30197-00100, Kenya
    Distributed Energy Team, Jeju Global Research Center, Korea Institute of Energy Research, 200 Haemajihaean-ro, Gujwa-eup, Jeju-si 63357, Republic of Korea)

  • Hanki Kim

    (Distributed Energy Team, Jeju Global Research Center, Korea Institute of Energy Research, 200 Haemajihaean-ro, Gujwa-eup, Jeju-si 63357, Republic of Korea)

  • Peter Moses Musau

    (Department of Electrical Electronic and Information Engineering, South Eastern Kenya University, Kitui P.O. Box 170-90200, Kenya)

  • Sebastian Waita

    (Department of Physics, University of Nairobi, Nairobi P.O. Box 30197-00100, Kenya)

  • Bernard Aduda

    (Department of Physics, University of Nairobi, Nairobi P.O. Box 30197-00100, Kenya)

Abstract

This work undertakes a techno-economic comparative analysis of the design of photovoltaic panel/wind turbine/electrolyzer-H 2 tank–fuel cell/electrolyzer-H 2 tank (configuration 1) and photovoltaic panel/wind turbine/battery/electrolyzer-H 2 tank (configuration 2) to supply electricity to a simulated house and a hydrogen-powered vehicle on Jeju Island. The aim is to find a system that will make optimum use of the excess energy produced by renewable energies to power the hydrogen vehicle while guaranteeing the reliability and cost-effectiveness of the entire system. In addition to evaluating the Loss of Power Supply Probability (LPSP) and the Levelized Cost of Energy (LCOE), the search for achieving that objective leads to the evaluation of two new performance indicators: Loss of Hydrogen Supply Probability (LHSP) and Levelized Cost of Hydrogen (LCOH). After analysis, for 0 < LPSP < 1 and 0 < LHSP < 1 used as the constraints in a multi-objective genetic algorithm, configuration 1 turns out to be the most efficient loads feeder with an LCOE of 0.3322 USD/kWh, an LPSP of 0% concerning the simulated house load, an LCOH of 11.5671 USD/kg for a 5 kg hydrogen storage, and an LHSP of 0.0043% regarding the hydrogen vehicle load.

Suggested Citation

  • Christelle Arielle Mbouteu Megaptche & Hanki Kim & Peter Moses Musau & Sebastian Waita & Bernard Aduda, 2023. "Techno-Economic Comparative Analysis of Two Hybrid Renewable Energy Systems for Powering a Simulated House, including a Hydrogen Vehicle Load at Jeju Island," Energies, MDPI, vol. 16(23), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7836-:d:1290322
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    References listed on IDEAS

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    1. Baghaee, H.R. & Mirsalim, M. & Gharehpetian, G.B. & Talebi, H.A., 2016. "Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system," Energy, Elsevier, vol. 115(P1), pages 1022-1041.
    2. Park, Joungho & Hwan Ryu, Kyung & Kim, Chang-Hee & Chul Cho, Won & Kim, MinJoong & Hun Lee, Jae & Cho, Hyun-Seok & Lee, Jay H., 2023. "Green hydrogen to tackle the power curtailment: Meteorological data-based capacity factor and techno-economic analysis," Applied Energy, Elsevier, vol. 340(C).
    3. Falama, Ruben Zieba & Saidi, Abdelaziz Salah & Soulouknga, Marcel Hamda & Salah, Chokri Ben, 2023. "A techno-economic comparative study of renewable energy systems based different storage devices," Energy, Elsevier, vol. 266(C).
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