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A new improved of incorporating photovoltaic energy into the production of green hydrogen

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The integration of renewable energies, particularly photovoltaic energy, into green hydrogen production presents a highly promising prospect in the energy sector. Nonetheless, these energy sources face challenges due to their inherent instability and susceptibility to various atmospheric factors such as temperature and illumination. Therefore, it's imperative to tackle these challenges before renewable energy can be widely adopted as a primary source in hydrogen production. To address this, we propose constructing an autonomous photovoltaic system using MATLAB software. This system will employ a DC-DC boost converter to connect the PV array to the load. Furthermore, to enhance the efficiency of photovoltaic power generation, we will implement the perturbation and observation maximum power point tracking (MPPT) approach. The research endeavor extends towards integrating this optimized system with an electrolysers developed a sophisticated electrolyte model utilizing MATLAB Simulink software, paving the way for hydrogen gas production.
Czasopismo
Rocznik
Strony
art. no. 2024210
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
  • Electrical Engineering Department, University of Msila, Algeria
  • LGE Research Laboratory of M’sila, Algeria
  • Electrical Engineering Department, University of Msila, Algeria
  • Renewable Energy Department, University of Blida 1, Algeria
  • Electrical Engineering Department, University of Msila, Algeria
Bibliografia
  • 1. Büyük M, İnci M. Improved drift-free P&O MPPT method to enhance energy harvesting capability for dynamic operating conditions of fuel cells. Energy 2023; 267: 126543. https://doi.org/10.1016/j.energy.2022.126543.
  • 2. Bayoumi MA, El Tantawy ESF, Abdallah MG, Atallah AM, Hafez DM. Investigation of green hydrogen production and storage from PV arrays connected to an AC microgrid system. 2023 International Telecommunications Conference (ITCEgypt) 2023; 157-64. https://doi.org/10.1109/ITCEgypt58155.2023.10206259Ayse.
  • 3. Bilhan AK. Integrated solar-based PEMWEs for green electricity production. https://doi.org/10.1016/j.ijhydene.2024.02.137.
  • 4. Salem Elbarbary ZM, Awad M. Optimal design of photovoltaic/wind turbine systems for producing hydrogen using a PEM Electrolyzer and MPPT Controller. Plos One 2022. https://doi.org/10.1371/journal.pone.0287772.
  • 5. Zou L, Shen Q, Yang G, Li S, Huang N. Improved hydrogen production efficiency of a PhotovoltaicElectrolysis system with P&O Algorithm: A case study. Chemical Physics Letters 2023; 832: 140891. https://doi.org/10.1016/j.cplett.2023.140891.
  • 6. Abderrahim Zemmit. A New improved variable step size MPPT method for photovoltaic systems using grey wolf and whale optimization technique based PID controller. Journal Européen des Systèmes Automatisés, 2021;54(1):175-185. https://doi.org/10.18280/jesa.540120.
  • 7. Azad M, Sadhu P, Das S. Comparative study between p&o and incremental conduction MPPT techniquesA review. 2020 International Conference on Intelligent Engineering and Management (ICIEM), 2020:217-222. https://doi.org/10.1109/ICIEM48762.2020.9160316.
  • 8. Figueiredo S, Aquino RNAL. Hybrid MPPT technique PSO-P&O applied to photovoltaic systems under uniform and partial shading conditions. IEEE Latin America Transactions 2021; 19(10): 1610-7. https://10.36306/konjes.1359177.
  • 9. Yuwanda R, Prasetyono E, Eviningsih R. Constant power generation using modified MPPT P&O to overcome overvoltage on solar power plants. 020 International Seminar on Intelligent Technology and Its Applications (ISITIA), 2020:392-39. https://doi.org/10.1109/ISITIA49792.2020.9163685.
  • 10. Hussein M, Mohamed M, Ahmed N, Zahran M. Comparison between P&O and SSO techniques based MPPT algorithm for photovoltaic systems. International Journal of Electrical and Computer Engineering (IJECE) 2022; 12: 32. https://doi.org/10.11591/ijece.v12i1.pp32-40.
  • 11. Alhussain H, Yasin N. Modeling and simulation of solar PV module for comparison of two MPPT algorithms (P&O & INC) in MATLAB/Simulink. Indonesian Journal of Electrical Engineering and Computer Science 2020; 18: 666. https://doi.org/10.11591/ijeecs.v18.i2.pp666-677.
  • 12. Szemes PT, Melhem M. Analyzing and modeling PV with “P&O” MPPT Algorithm by MATLAB/SIMULINK. 2020 3rd International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS) 2020; 1-6. https://doi.org/10.1109/SIMS49386.2020.9121579.
  • 13. Abo-Khalil A, El-Sharkawy I, Radwan A, Memon S. Influence of a hybrid MPPT technique, SA-P&O, on PV system performance under partial shading conditions. Energies 2023; 16: 577. https://doi.org/10.3390/en16020577.
  • 14. Gutiérrez-Martín F, Amodio L, Pagano M. Hydrogen production by water electrolysis and off-grid solar PV. International Journal of Hydrogen Energy 2021; 46(57): 29038-48. https://doi.org/10.1016/j.ijhydene.2020.09.098.
  • 15. Patel H, Asghari Gorji S, Shahi S, Love J. Implementation of a lab-scale green hydrogen production system with solar PV emulator and energy storage system. 11th International Conference on Power and Energy Systems (ICPES), Shanghai, China, 2021:201-208. https://doi.org/10.1109/ICPES53652.2021.9683797.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2d3a50e7-d35a-4cc3-8e95-ea5a78a49eb3
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