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AI-optimized management of a hybrid SOFC-CAES systems with renewable integration for efficient electricity production and peak shaving

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  • Zhong, Jianlan

Abstract

This article presents a cutting-edge smart energy system that combines solid oxide fuel cells (SOFC) with compressed air energy storage (CAES) to improve electricity generation while shaving the peak demand with minimal carbon dioxide emission. The novel technology works with SOFCs under high pressures, substantially enhancing their efficiency compared to what can be achieved under normal atmospheric conditions. In addition to enhancing efficiency, the system intelligently incorporates wind turbines to meet the energy requirements of the CAES compressors. The strategic utilization of renewable energy enhances total power production and aligns with sustainable energy objectives, demonstrating a potential progression in intelligent energy management. An in-depth analysis assesses the feasibility of integrating this smart system, considering several factors such as thermodynamics, exergo-economic, sustainability, and the environment. The non-dominated sorting genetic algorithm is employed to identify an ideal design condition with the aid of an artificial neural network, guaranteeing a balanced attainment across all performance indicators. The proposed integration results in a net power, energy cost, and CO2 index of 480.6 MWh, 215.7 USD/MWh, and 460.8 kg/MWh, highlighting the value of increasing the operating pressure of SOFC through the integration of CAES and adding more wind turbines to increase renewables. The parametric assessment shows that the net power and total cost increase by 250 MWh and 4 USD/h, signifying the importance of multi-objective optimization. The scatter matrix indicates that the compressor pressure ratio is insensitive while keeping wind velocity close to the lower domain achieves the best optimal condition. The optimization achieves a higher net power of 171.8 MWh and a lower energy cost of 137.6 USD/MWh. Also, it enhances the exergy efficiency by 12.9 % and reduces the CO2 index by 57 kg/MWh when prioritizing exergo-environmental facets.

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  • Zhong, Jianlan, 2025. "AI-optimized management of a hybrid SOFC-CAES systems with renewable integration for efficient electricity production and peak shaving," Energy, Elsevier, vol. 320(C).
    • Handle: RePEc:eee:energy:v:320:y:2025:i:c:s0360544225009843
    DOI: 10.1016/j.energy.2025.135342
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    1. Ma, Weiwu & Xue, Xinpei & Liu, Gang, 2018. "Techno-economic evaluation for hybrid renewable energy system: Application and merits," Energy, Elsevier, vol. 159(C), pages 385-409.
    2. Alirahmi, Seyed Mojtaba & Behzadi, Amirmohammad & Ahmadi, Pouria & Sadrizadeh, Sasan, 2023. "An innovative four-objective dragonfly-inspired optimization algorithm for an efficient, green, and cost-effective waste heat recovery from SOFC," Energy, Elsevier, vol. 263(PA).
    3. Sadeghi, Mohsen & Chitsaz, Ata & Mahmoudi, S.M.S. & Rosen, Marc A., 2015. "Thermoeconomic optimization using an evolutionary algorithm of a trigeneration system driven by a solid oxide fuel cell," Energy, Elsevier, vol. 89(C), pages 191-204.
    4. Gao, Yang & Meng, Yangyang & Dong, Guanpeng & Ma, Shaoxiu & Miao, Changhong & Xiao, Jianhua & Mao, Shuting & Shao, Lili, 2024. "The wind-solar hybrid energy could serve as a stable power source at multiple time scale in China mainland," Energy, Elsevier, vol. 305(C).
    5. Vera, David & Jurado, Francisco & Carpio, José & Kamel, Salah, 2018. "Biomass gasification coupled to an EFGT-ORC combined system to maximize the electrical energy generation: A case applied to the olive oil industry," Energy, Elsevier, vol. 144(C), pages 41-53.
    6. Alirahmi, Seyed Mojtaba & Mousavi, Seyedeh Fateme & Ahmadi, Pouria & Arabkoohsar, Ahmad, 2021. "Soft computing analysis of a compressed air energy storage and SOFC system via different artificial neural network architecture and tri-objective grey wolf optimization," Energy, Elsevier, vol. 236(C).
    7. Shayan, E. & Zare, V. & Mirzaee, I., 2019. "On the use of different gasification agents in a biomass fueled SOFC by integrated gasifier: A comparative exergo-economic evaluation and optimization," Energy, Elsevier, vol. 171(C), pages 1126-1138.
    8. Milcarek, Ryan J. & Ahn, Jeongmin, 2019. "Micro-tubular flame-assisted fuel cells running methane, propane and butane: On soot, efficiency and power density," Energy, Elsevier, vol. 169(C), pages 776-782.
    9. Ahmed, Faraedoon & Foley, Aoife & Dowds, Carole & Johnston, Barry & Al Kez, Dlzar, 2024. "Assessing the engineering, environmental and economic aspects of repowering onshore wind energy," Energy, Elsevier, vol. 301(C).
    10. Ghorbani, Sh. & Khoshgoftar-Manesh, M.H. & Nourpour, M. & Blanco-Marigorta, A.M., 2020. "Exergoeconomic and exergoenvironmental analyses of an integrated SOFC-GT-ORC hybrid system," Energy, Elsevier, vol. 206(C).
    11. Alirahmi, Seyed Mojtaba & Razmi, Amir Reza & Arabkoohsar, Ahmad, 2021. "Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    12. Sadeghi, Saber & Askari, Ighball Baniasad, 2019. "Prefeasibility techno-economic assessment of a hybrid power plant with photovoltaic, fuel cell and Compressed Air Energy Storage (CAES)," Energy, Elsevier, vol. 168(C), pages 409-424.
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