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Design and multi-objective optimization of a multi-generation system based on PEM electrolyzer, RO unit, absorption cooling system, and ORC utilizing machine learning approaches; a case study of Australia

Author

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  • Shakibi, Hamid
  • Faal, Mehrdad Yousefi
  • Assareh, Ehsanolah
  • Agarwal, Neha
  • Yari, Mortaza
  • Latifi, Seyed Ali
  • Ghodrat, Maryam
  • Lee, Moonyong

Abstract

The geothermal systems' capability to produce various products persuades the design of a novel hybrid system, including power, cooling, freshwater, and hydrogen. Australia, with numerous geothermal sources and the tendency of hydrogen utilization as fuel, is considered a case study. The designed system is analyzed from energy, exergy, and economic viewpoints. Also, the artificial neural network is implemented to optimize the system's operation. Hence, the accuracy of four artificial neural networks in optimizing and predicting systems' performance is compared. Furthermore, four double-objective and four triple-objective optimization scenarios are considered to achieve the best optimum state from different viewpoints. The mean absolute Error value of 2.28×10−14 to predict the exergetic efficiency in the testing procedure is the best algorithm. The system provides 1263 kW net power with 39.89% exergy efficiency and 2.13 years of payback period at the base condition. The exergy efficiency-net present value scenario represents the best performance in which the net power, hydrogen, and freshwater production rates reach 3946 kW, 8.73 kg/h, and 152 kg/h, respectively. Subsequently, the exergy efficiency, payback period, and net present value are estimated at 46.27%, 1.84 years, and 19.52 M$.

Suggested Citation

  • Shakibi, Hamid & Faal, Mehrdad Yousefi & Assareh, Ehsanolah & Agarwal, Neha & Yari, Mortaza & Latifi, Seyed Ali & Ghodrat, Maryam & Lee, Moonyong, 2023. "Design and multi-objective optimization of a multi-generation system based on PEM electrolyzer, RO unit, absorption cooling system, and ORC utilizing machine learning approaches; a case study of Austr," Energy, Elsevier, vol. 278(C).
    • Handle: RePEc:eee:energy:v:278:y:2023:i:c:s0360544223011908
    DOI: 10.1016/j.energy.2023.127796
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    References listed on IDEAS

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    1. Bahadori, Alireza & Zendehboudi, Sohrab & Zahedi, Gholamreza, 2013. "A review of geothermal energy resources in Australia: Current status and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 29-34.
    2. Teng, Sin Yong & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav & Stehlík, Petr, 2021. "Debottlenecking cogeneration systems under process variations: Multi-dimensional bottleneck tree analysis with neural network ensemble," Energy, Elsevier, vol. 215(PB).
    3. Gholizadeh, Towhid & Vajdi, Mohammad & Rostamzadeh, Hadi, 2020. "A new trigeneration system for power, cooling, and freshwater production driven by a flash-binary geothermal heat source," Renewable Energy, Elsevier, vol. 148(C), pages 31-43.
    4. Farzad Hamrang & Afshar Shokri & S. M. Seyed Mahmoudi & Biuk Ehghaghi & Marc A. Rosen, 2020. "Performance Analysis of a New Electricity and Freshwater Production System Based on an Integrated Gasification Combined Cycle and Multi-Effect Desalination," Sustainability, MDPI, vol. 12(19), pages 1-29, September.
    5. Simone Carr-Cornish & Lygia Romanach, 2014. "Differences in Public Perceptions of Geothermal Energy Technology in Australia," Energies, MDPI, vol. 7(3), pages 1-21, March.
    6. Emadi, Mohammad Ali & Chitgar, Nazanin & Oyewunmi, Oyeniyi A. & Markides, Christos N., 2020. "Working-fluid selection and thermoeconomic optimisation of a combined cycle cogeneration dual-loop organic Rankine cycle (ORC) system for solid oxide fuel cell (SOFC) waste-heat recovery," Applied Energy, Elsevier, vol. 261(C).
    7. Shakibi, Hamid & Shokri, Afshar & Assareh, Ehsanolah & Yari, Mortaza & Lee, Moonyong, 2023. "Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system," Applied Energy, Elsevier, vol. 333(C).
    8. Abdolalipouradl, Mehran & Mohammadkhani, Farzad & Khalilarya, Shahram, 2020. "A comparative analysis of novel combined flash-binary cycles for Sabalan geothermal wells: Thermodynamic and exergoeconomic viewpoints," Energy, Elsevier, vol. 209(C).
    9. Tariq, Shahzeb & Safder, Usman & Yoo, ChangKyoo, 2022. "Exergy-based weighted optimization and smart decision-making for renewable energy systems considering economics, reliability, risk, and environmental assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    10. Zhou, Yuekuan, 2022. "Transition towards carbon-neutral districts based on storage techniques and spatiotemporal energy sharing with electrification and hydrogenation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    11. Ebrahimi-Moghadam, Amir & Farzaneh-Gord, Mahmood, 2022. "Optimal operation of a multi-generation district energy hub based on electrical, heating, and cooling demands and hydrogen production," Applied Energy, Elsevier, vol. 309(C).
    12. Azizi, Saeid & Shakibi, Hamid & Shokri, Afshar & Chitsaz, Ata & Yari, Mortaza, 2023. "Multi-aspect analysis and RSM-based optimization of a novel dual-source electricity and cooling cogeneration system," Applied Energy, Elsevier, vol. 332(C).
    13. Schifflechner, Christopher & Dawo, Fabian & Eyerer, Sebastian & Wieland, Christoph & Spliethoff, Hartmut, 2020. "Thermodynamic comparison of direct supercritical CO2 and indirect brine-ORC concepts for geothermal combined heat and power generation," Renewable Energy, Elsevier, vol. 161(C), pages 1292-1302.
    14. Khoshgoftar Manesh, M.H. & Mehrabian, M.J. & Nourpour, M. & Onishi, V.C., 2023. "Risk and 4E analyses and optimization of a novel solar-natural gas-driven polygeneration system based on Integration of Gas Turbine–SCO2–ORC-solar PV-PEM electrolyzer," Energy, Elsevier, vol. 263(PD).
    15. Farzad Hamrang & S. M. Seyed Mahmoudi & Marc A. Rosen, 2021. "A Novel Electricity and Freshwater Production System: Performance Analysis from Reliability and Exergoeconomic Viewpoints with Multi-Objective Optimization," Sustainability, MDPI, vol. 13(11), pages 1-30, June.
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