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Development of a two-layer control and management system for a residential microgrid with HT-PEMFC-based micro-CHP

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  • Xie, Peilin
  • Zhou, Fan
  • Tan, Sen
  • Liso, Vincenzo
  • Sahlin, Simon Lennart

Abstract

High-temperature Proton Exchange Membrane fuel cells (HT-PEMFC) is a convincing choice for micro-combined heat and power (micro-CHP) systems. Such system can not only meet household electrical and thermal demands but also increase the energy efficiency.

Suggested Citation

  • Xie, Peilin & Zhou, Fan & Tan, Sen & Liso, Vincenzo & Sahlin, Simon Lennart, 2025. "Development of a two-layer control and management system for a residential microgrid with HT-PEMFC-based micro-CHP," Applied Energy, Elsevier, vol. 381(C).
    • Handle: RePEc:eee:appene:v:381:y:2025:i:c:s0306261924025029
    DOI: 10.1016/j.apenergy.2024.125118
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    1. Lopez Lopez, Guadalupe & Schacht Rodriguez, Ricardo & Alvarado, Victor M. & Gomez-Aguilar, J.F. & Mota, Juan E. & Sandoval, Cinda, 2017. "Hybrid PEMFC-supercapacitor system: Modeling and energy management in energetic macroscopic representation," Applied Energy, Elsevier, vol. 205(C), pages 1478-1494.
    2. Rahaf S. Ghanem & Laura Nousch & Maria Richter, 2022. "Modeling of a Grid-Independent Set-Up of a PV/SOFC Micro-CHP System Combined with a Seasonal Energy Storage for Residential Applications," Energies, MDPI, vol. 15(4), pages 1-20, February.
    3. Jiang, Jianhua & Zhou, Renjie & Xu, Hao & Wang, Hao & Wu, Ping & Wang, Zhuo & Li, Jian, 2022. "Optimal sizing, operation strategy and case study of a grid-connected solid oxide fuel cell microgrid," Applied Energy, Elsevier, vol. 307(C).
    4. Authayanun, Suthida & Mamlouk, Mohamed & Scott, Keith & Arpornwichanop, Amornchai, 2013. "Comparison of high-temperature and low-temperature polymer electrolyte membrane fuel cell systems with glycerol reforming process for stationary applications," Applied Energy, Elsevier, vol. 109(C), pages 192-201.
    5. Fragiacomo, Petronilla & Lucarelli, Giuseppe & Genovese, Matteo & Florio, Gaetano, 2021. "Multi-objective optimization model for fuel cell-based poly-generation energy systems," Energy, Elsevier, vol. 237(C).
    6. Langer, Lissy & Volling, Thomas, 2020. "An optimal home energy management system for modulating heat pumps and photovoltaic systems," Applied Energy, Elsevier, vol. 278(C).
    7. Sorace, Marco & Gandiglio, Marta & Santarelli, Massimo, 2017. "Modeling and techno-economic analysis of the integration of a FC-based micro-CHP system for residential application with a heat pump," Energy, Elsevier, vol. 120(C), pages 262-275.
    8. Jie Liu & Sung-Chul Kim & Ki-Yeol Shin, 2021. "Feasibility Study and Economic Analysis of a Fuel-Cell-Based CHP System for a Comprehensive Sports Center with an Indoor Swimming Pool," Energies, MDPI, vol. 14(20), pages 1-21, October.
    9. Xu, Yuhao & Luo, Xiaobing & Tu, Zhengkai & Siew Hwa Chan,, 2022. "Multi-criteria assessment of solid oxide fuel cell–combined cooling, heating, and power system model for residential application," Energy, Elsevier, vol. 259(C).
    10. Zhang, Xiaoyi & Liu, Yan & Li, Yanxue & Lv, Xiaoyu & Xiao, Fu & Gao, Weijun, 2024. "Analyzing variability and coordinated demand management for various flexible integrations of residential distributed energy resources," Renewable Energy, Elsevier, vol. 237(PA).
    11. Li, Na & Cui, Xiaoti & Zhu, Jimin & Zhou, Mengfan & Liso, Vincenzo & Cinti, Giovanni & Sahlin, Simon Lennart & Araya, Samuel Simon, 2023. "A review of reformed methanol-high temperature proton exchange membrane fuel cell systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    12. Cai, Shanshan & Li, Xu & Yang, Ling & Hua, Zhipeng & Li, Song & Tu, Zhengkai, 2024. "Demand flexibility and its impact on a PEM fuel cell-based integrated energy supply system with humidity control," Renewable Energy, Elsevier, vol. 228(C).
    13. Setlhaolo, Ditiro & Sichilalu, Sam & Zhang, Jiangfeng, 2017. "Residential load management in an energy hub with heat pump water heater," Applied Energy, Elsevier, vol. 208(C), pages 551-560.
    14. Pedro Gabana & Francisco V. Tinaut & Miriam Reyes & José Ignacio Domínguez, 2023. "Performance Evaluation of a Fuel Cell mCHP System under Different Configurations of Hydrogen Origin and Heat Recovery," Energies, MDPI, vol. 16(18), pages 1-20, September.
    15. Ou, Kai & Yuan, Wei-Wei & Kim, Young-Bae, 2021. "Development of optimal energy management for a residential fuel cell hybrid power system with heat recovery," Energy, Elsevier, vol. 219(C).
    16. Xing, Yinjiao & He, Wei & Pecht, Michael & Tsui, Kwok Leung, 2014. "State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures," Applied Energy, Elsevier, vol. 113(C), pages 106-115.
    17. Cai, Shanshan & Wang, Wenli & Zou, Yuqi & Li, Song & Tu, Zhengkai, 2023. "Performance and sustainability assessment of PEMFC/solar-driven CCP systems with different energy storage devices," Energy, Elsevier, vol. 278(PB).
    18. Viviana Cigolotti & Matteo Genovese & Petronilla Fragiacomo, 2021. "Comprehensive Review on Fuel Cell Technology for Stationary Applications as Sustainable and Efficient Poly-Generation Energy Systems," Energies, MDPI, vol. 14(16), pages 1-28, August.
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