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An Overview of Recent AI Applications in Combined Heat and Power Systems

Author

Listed:
  • Ashkan Safari

    (Mechanical, Automotive & Materials Engineering Department, University of Windsor, Windsor, ON N9B 3P4, Canada)

  • Arman Oshnoei

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

Abstract

Combined heat and power (CHP) systems are among the important components for enhancing energy efficiency and sustainability by simultaneously generating electricity and useful thermal energy, reducing waste and costs. Consequently, the effective control of these systems is considered important. To that end, this paper provides a comprehensive review of the intelligent methodologies applied to CHP systems, emphasizing their prevalence in the USA and Europe through statistical insights. It outlines the mathematical foundations of CHP systems, analyzing the advancements in intelligent control methods for optimal planning, economic dispatch, and cost minimization. Artificial Intelligence (AI) models, such as Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Random Forest, are described and applied to a simulated CHP system. The Key Performance Indicators (KPIs) derived from these models demonstrate their efficacy for optimizing CHP performance. This paper also highlights the impact of AI-driven models for enhancing CHP system efficiency, while identifying the challenges in AI-CHP integration and envisioning CHP systems as important components of future sustainable energy systems.

Suggested Citation

  • Ashkan Safari & Arman Oshnoei, 2025. "An Overview of Recent AI Applications in Combined Heat and Power Systems," Energies, MDPI, vol. 18(11), pages 1-31, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2891-:d:1668979
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    References listed on IDEAS

    as
    1. Facci, Andrea L. & Ubertini, Stefano, 2018. "Analysis of a fuel cell combined heat and power plant under realistic smart management scenarios," Applied Energy, Elsevier, vol. 216(C), pages 60-72.
    2. Yan, Rujing & Wang, Jiangjiang & Huo, Shuojie & Zhang, Jing & Tang, Saiqiu & Yang, Mei, 2023. "Comparative study for four technologies on flexibility improvement and renewable energy accommodation of combined heat and power system," Energy, Elsevier, vol. 263(PE).
    3. Fan, Guangyao & Yu, Binbin & Sun, Bo & Li, Fan, 2024. "Multi-time-space scale optimization for a hydrogen-based regional multi-energy system," Applied Energy, Elsevier, vol. 371(C).
    4. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Roosta, Alireza & Amiri, Babak, 2012. "A new multi-objective reserve constrained combined heat and power dynamic economic emission dispatch," Energy, Elsevier, vol. 42(1), pages 530-545.
    5. Mertzis, Dimitrios & Mitsakis, Panagiotis & Tsiakmakis, Stefanos & Manara, Panagiota & Zabaniotou, Anastasia & Samaras, Zissis, 2014. "Performance analysis of a small-scale combined heat and power system using agricultural biomass residues: The SMARt-CHP demonstration project," Energy, Elsevier, vol. 64(C), pages 367-374.
    6. Asensio, F.J. & San Martín, J.I. & Zamora, I. & Oñederra, O., 2018. "Model for optimal management of the cooling system of a fuel cell-based combined heat and power system for developing optimization control strategies," Applied Energy, Elsevier, vol. 211(C), pages 413-430.
    7. Salehimaleh, Mohammad & Akbarimajd, Adel & Valipour, Khalil & Dejamkhooy, Abdolmajid, 2018. "Generalized modeling and optimal management of energy hub based electricity, heat and cooling demands," Energy, Elsevier, vol. 159(C), pages 669-685.
    8. Subbaraj, P. & Rengaraj, R. & Salivahanan, S., 2009. "Enhancement of combined heat and power economic dispatch using self adaptive real-coded genetic algorithm," Applied Energy, Elsevier, vol. 86(6), pages 915-921, June.
    9. Nuytten, Thomas & Claessens, Bert & Paredis, Kristof & Van Bael, Johan & Six, Daan, 2013. "Flexibility of a combined heat and power system with thermal energy storage for district heating," Applied Energy, Elsevier, vol. 104(C), pages 583-591.
    10. Yuan, Yi & Chen, Li & Lyu, Xingbao & Ning, Wenjing & Liu, Wenqi & Tao, Wen-Quan, 2024. "Modeling and optimization of a residential PEMFC-based CHP system under different operating modes," Applied Energy, Elsevier, vol. 353(PA).
    11. Wang, Congyu & Song, Jiwei, 2023. "Performance assessment of the novel coal-fired combined heat and power plant integrating with flexibility renovations," Energy, Elsevier, vol. 263(PC).
    12. Li, Yang & Wang, Jinlong & Zhao, Dongbo & Li, Guoqing & Chen, Chen, 2018. "A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making," Energy, Elsevier, vol. 162(C), pages 237-254.
    13. Krzysztof Gaska & Agnieszka Generowicz & Anna Gronba-Chyła & Józef Ciuła & Iwona Wiewiórska & Paweł Kwaśnicki & Marcin Mala & Krzysztof Chyła, 2023. "Artificial Intelligence Methods for Analysis and Optimization of CHP Cogeneration Units Based on Landfill Biogas as a Progress in Improving Energy Efficiency and Limiting Climate Change," Energies, MDPI, vol. 16(15), pages 1-19, July.
    14. Zhu, Xingyi & Zhan, Xiangyan & Liang, Hao & Zheng, Xuyue & Qiu, Yuwei & Lin, Jian & Chen, Jincan & Meng, Chao & Zhao, Yingru, 2020. "The optimal design and operation strategy of renewable energy-CCHP coupled system applied in five building objects," Renewable Energy, Elsevier, vol. 146(C), pages 2700-2715.
    15. Shaabani, Yousef ali & Seifi, Ali Reza & Kouhanjani, Masoud Joker, 2017. "Stochastic multi-objective optimization of combined heat and power economic/emission dispatch," Energy, Elsevier, vol. 141(C), pages 1892-1904.
    16. Zhou, Yanting & Ma, Zhongjing & Shi, Xingyu & Zou, Suli, 2024. "Multi-agent optimal scheduling for integrated energy system considering the global carbon emission constraint," Energy, Elsevier, vol. 288(C).
    17. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    18. Nazari-Heris, M. & Mohammadi-Ivatloo, B. & Gharehpetian, G.B., 2018. "A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2128-2143.
    19. Toopshekan, Ashkan & Abedian, Ali & Azizi, Arian & Ahmadi, Esmaeil & Vaziri Rad, Mohammad Amin, 2023. "Optimization of a CHP system using a forecasting dispatch and teaching-learning-based optimization algorithm," Energy, Elsevier, vol. 285(C).
    20. Jack, M.W. & Suomalainen, K. & Dew, J.J.W. & Eyers, D., 2018. "A minimal simulation of the electricity demand of a domestic hot water cylinder for smart control," Applied Energy, Elsevier, vol. 211(C), pages 104-112.
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