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Optimal Operation of Combined Photovoltaic Electrolyzer Systems

Author

Listed:
  • Arash Khalilnejad

    (Electrical and Computer Engineering Department, Florida International University, Miami, FL 33174, USA)

  • Aditya Sundararajan

    (Electrical and Computer Engineering Department, Florida International University, Miami, FL 33174, USA)

  • Alireza Abbaspour

    (Electrical and Computer Engineering Department, Florida International University, Miami, FL 33174, USA)

  • Arif Sarwat

    (Electrical and Computer Engineering Department, Florida International University, Miami, FL 33174, USA)

Abstract

In this study, the design and simulation of a combination of a photovoltaic (PV) array with an alkaline electrolyzer is performed to maximize the production of hydrogen as a reliable power resource. Detailed electrical model of PV system, as long as thermal and electrochemical model of electrolyzer is used. Since an electrolyzer is a non-linear load, its coupling with PV systems to get the best power transfer is very important. Solar irradiation calculations were done for the region of Miami (FL, USA), giving an optimal surface slope of 25.7° for the PV array. The size of the PV array is optimized, considering maximum hydrogen production and minimum excess power production in a diurnal operation of a system using the imperialistic competitive algorithm (ICA). The results show that for a 10 kW alkaline electrolyzer, a PV array with a nominal power of 12.3 kW The results show that 12.3 kW photvoltaic system can be utilized for supplying a 10 kW electrolyzer. Hydrogen production and Faraday efficiency of the system are 697.21 mol and 0.3905 mol, respectively.

Suggested Citation

  • Arash Khalilnejad & Aditya Sundararajan & Alireza Abbaspour & Arif Sarwat, 2016. "Optimal Operation of Combined Photovoltaic Electrolyzer Systems," Energies, MDPI, vol. 9(5), pages 1-12, April.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:5:p:332-:d:69261
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    References listed on IDEAS

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    1. Torreglosa, Juan P. & García, Pablo & Fernández, Luis M. & Jurado, Francisco, 2015. "Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system," Renewable Energy, Elsevier, vol. 74(C), pages 326-336.
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    3. Rajesh, R. & Carolin Mabel, M., 2015. "A comprehensive review of photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 231-248.
    4. Singh, Sonal & Jain, Shikha & PS, Venkateswaran & Tiwari, Avanish K. & Nouni, Mansa R. & Pandey, Jitendra K. & Goel, Sanket, 2015. "Hydrogen: A sustainable fuel for future of the transport sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 623-633.
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    Cited by:

    1. Jonny Esteban Villa Londono & Andrea Mazza & Enrico Pons & Harm Lok & Ettore Bompard, 2021. "Modelling and Control of a Grid-Connected RES-Hydrogen Hybrid Microgrid," Energies, MDPI, vol. 14(6), pages 1-25, March.
    2. Weiliang Wang & Dan Wang & Hongjie Jia & Guixiong He & Qing’e Hu & Pang-Chieh Sui & Menghua Fan, 2017. "Performance Evaluation of a Hydrogen-Based Clean Energy Hub with Electrolyzers as a Self-Regulating Demand Response Management Mechanism," Energies, MDPI, vol. 10(8), pages 1-23, August.

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