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Literature Review of Energy Management in Combined Heat and Power Systems Based on High-Temperature Proton Exchange Membrane Fuel Cells for Residential Comfort Applications

Author

Listed:
  • Víctor Sanz i López

    (Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 08028 Barcelona, Spain)

  • Ramon Costa-Castelló

    (Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 08028 Barcelona, Spain)

  • Carles Batlle

    (Departament de Matemàtiques, Institut d’Organització i Control, EPSEVG, UPC, 08800 Barcelona, Spain)

Abstract

Combined heat and power technologies represent an efficient way to ensure energy efficiency, as they promote usage of both electrical and thermal energy, something not done by most traditional energy sources, especially in residential environments. In this context, high-temperature proton exchange membrane fuel cells allow the implementation of combined heat and power systems. Additionally, in this environment, fuel cells are more efficient and less polluting than their traditional counterparts. We present a literature review of energy management in residential systems based on this type of fuel cell. In addition, we classify and detail the current state of fuel cell technologies, paying special attention to their characteristics, mathematical modelling and control, as well as combined heat and power systems and energy management strategies.

Suggested Citation

  • Víctor Sanz i López & Ramon Costa-Castelló & Carles Batlle, 2022. "Literature Review of Energy Management in Combined Heat and Power Systems Based on High-Temperature Proton Exchange Membrane Fuel Cells for Residential Comfort Applications," Energies, MDPI, vol. 15(17), pages 1-22, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6423-:d:905640
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    1. Petrelli, Marina & Fioriti, Davide & Berizzi, Alberto & Bovo, Cristian & Poli, Davide, 2021. "A novel multi-objective method with online Pareto pruning for multi-year optimization of rural microgrids," Applied Energy, Elsevier, vol. 299(C).
    2. De las Heras, A. & Vivas, F.J. & Segura, F. & Redondo, M.J. & Andújar, J.M., 2018. "Air-cooled fuel cells: Keys to design and build the oxidant/cooling system," Renewable Energy, Elsevier, vol. 125(C), pages 1-20.
    3. Peláez-Peláez, Sofía & Colmenar-Santos, Antonio & Pérez-Molina, Clara & Rosales, Ana-Esther & Rosales-Asensio, Enrique, 2021. "Techno-economic analysis of a heat and power combination system based on hybrid photovoltaic-fuel cell systems using hydrogen as an energy vector," Energy, Elsevier, vol. 224(C).
    4. Jaggi, Vikas & Jayanti, S., 2013. "A conceptual model of a high-efficiency, stand-alone power unit based on a fuel cell stack with an integrated auto-thermal ethanol reformer," Applied Energy, Elsevier, vol. 110(C), pages 295-303.
    5. Abdul Rasheed, Raj Kamal & Chan, Siew Hwa, 2015. "Transient carbon monoxide poisoning kinetics during warm-up period of a high-temperature PEMFC – Physical model and parametric study," Applied Energy, Elsevier, vol. 140(C), pages 44-51.
    6. 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.
    7. Haase, Patrick & Thomas, Bernd, 2021. "Test and optimization of a control algorithm for demand-oriented operation of CHP units using hardware-in-the-loop," Applied Energy, Elsevier, vol. 294(C).
    8. Efkarpidis, Nikolaos A. & Vomva, Styliani A. & Christoforidis, Georgios C. & Papagiannis, Grigoris K., 2022. "Optimal day-to-day scheduling of multiple energy assets in residential buildings equipped with variable-speed heat pumps," Applied Energy, Elsevier, vol. 312(C).
    9. Pascual, Julio & Arcos-Aviles, Diego & Ursúa, Alfredo & Sanchis, Pablo & Marroyo, Luis, 2021. "Energy management for an electro-thermal renewable–based residential microgrid with energy balance forecasting and demand side management," Applied Energy, Elsevier, vol. 295(C).
    10. Gao, Shuang & Jurasz, Jakub & Li, Hailong & Corsetti, Edoardo & Yan, Jinyue, 2022. "Potential benefits from participating in day-ahead and regulation markets for CHPs," Applied Energy, Elsevier, vol. 306(PA).
    11. Najafi, Behzad & Haghighat Mamaghani, Alireza & Rinaldi, Fabio & Casalegno, Andrea, 2015. "Long-term performance analysis of an HT-PEM fuel cell based micro-CHP system: Operational strategies," Applied Energy, Elsevier, vol. 147(C), pages 582-592.
    12. Kim, Jintae & Kim, Minjin & Kang, Taegon & Sohn, Young-Jun & Song, Taewon & Choi, Kyoung Hwan, 2014. "Degradation modeling and operational optimization for improving the lifetime of high-temperature PEM (proton exchange membrane) fuel cells," Energy, Elsevier, vol. 66(C), pages 41-49.
    13. Arsalis, Alexandros & Nielsen, Mads P. & Kær, Søren K., 2011. "Modeling and off-design performance of a 1kWe HT-PEMFC (high temperature-proton exchange membrane fuel cell)-based residential micro-CHP (combined-heat-and-power) system for Danish single-family house," Energy, Elsevier, vol. 36(2), pages 993-1002.
    14. Zhang, Yan & Meng, Fanlin & Wang, Rui & Kazemtabrizi, Behzad & Shi, Jianmai, 2019. "Uncertainty-resistant stochastic MPC approach for optimal operation of CHP microgrid," Energy, Elsevier, vol. 179(C), pages 1265-1278.
    15. Li, Dazi & Yu, Yadi & Jin, Qibing & Gao, Zhiqiang, 2014. "Maximum power efficiency operation and generalized predictive control of PEM (proton exchange membrane) fuel cell," Energy, Elsevier, vol. 68(C), pages 210-217.
    16. Jouin, Marine & Bressel, Mathieu & Morando, Simon & Gouriveau, Rafael & Hissel, Daniel & Péra, Marie-Cécile & Zerhouni, Noureddine & Jemei, Samir & Hilairet, Mickael & Ould Bouamama, Belkacem, 2016. "Estimating the end-of-life of PEM fuel cells: Guidelines and metrics," Applied Energy, Elsevier, vol. 177(C), pages 87-97.
    17. Chang, Huawei & Wan, Zhongmin & Zheng, Yao & Chen, Xi & Shu, Shuiming & Tu, Zhengkai & Chan, Siew Hwa & Chen, Rui & Wang, Xiaodong, 2017. "Energy- and exergy-based working fluid selection and performance analysis of a high-temperature PEMFC-based micro combined cooling heating and power system," Applied Energy, Elsevier, vol. 204(C), pages 446-458.
    18. Jouin, Marine & Gouriveau, Rafael & Hissel, Daniel & Péra, Marie-Cécile & Zerhouni, Noureddine, 2016. "Degradations analysis and aging modeling for health assessment and prognostics of PEMFC," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 78-95.
    19. Kazuhiro Hikima & Masaharu Tsujimoto & Mizutomo Takeuchi & Yuya Kajikawa, 2020. "Transition Analysis of Budgetary Allocation for Projects on Hydrogen-Related Technologies in Japan," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    20. Löhr, Yannik & Wolf, Daniel & Pollerberg, Clemens & Hörsting, Alexander & Mönnigmann, Martin, 2021. "Supervisory model predictive control for combined electrical and thermal supply with multiple sources and storages," Applied Energy, Elsevier, vol. 290(C).
    21. Alberto Pajares & Xavier Blasco & Juan M. Herrero & Raúl Simarro, 2020. "Multivariable Controller Design for the Cooling System of a PEM Fuel Cell by considering Nearly Optimal Solutions in a Multiobjective Optimization Approach," Complexity, Hindawi, vol. 2020, pages 1-17, August.
    22. Liangce He & Zhigang Lu & Lili Pan & Hao Zhao & Xueping Li & Jiangfeng Zhang, 2019. "Optimal Economic and Emission Dispatch of a Microgrid with a Combined Heat and Power System," Energies, MDPI, vol. 12(4), pages 1-19, February.
    23. Elmer, Theo & Worall, Mark & Wu, Shenyi & Riffat, Saffa B., 2015. "Fuel cell technology for domestic built environment applications: State of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 913-931.
    24. Li, Li & Wang, Jing & Zhong, Xiaoyi & Lin, Jian & Wu, Nianyuan & Zhang, Zhihui & Meng, Chao & Wang, Xiaonan & Shah, Nilay & Brandon, Nigel & Xie, Shan & Zhao, Yingru, 2022. "Combined multi-objective optimization and agent-based modeling for a 100% renewable island energy system considering power-to-gas technology and extreme weather conditions," Applied Energy, Elsevier, vol. 308(C).
    25. Yang, Ting & Zhao, Liyuan & Li, Wei & Wu, Jianzhong & Zomaya, Albert Y., 2021. "Towards healthy and cost-effective indoor environment management in smart homes: A deep reinforcement learning approach," Applied Energy, Elsevier, vol. 300(C).
    26. Das, Vipin & Padmanaban, Sanjeevikumar & Venkitusamy, Karthikeyan & Selvamuthukumaran, Rajasekar & Blaabjerg, Frede & Siano, Pierluigi, 2017. "Recent advances and challenges of fuel cell based power system architectures and control – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 10-18.
    27. Salgado, Marcelo & Negrete-Pincetic, Matias & Lorca, Álvaro & Olivares, Daniel, 2021. "A low-complexity decision model for home energy management systems," Applied Energy, Elsevier, vol. 294(C).
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