IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v228y2024ics0960148124006682.html
   My bibliography  Save this article

Demand flexibility and its impact on a PEM fuel cell-based integrated energy supply system with humidity control

Author

Listed:
  • Cai, Shanshan
  • Li, Xu
  • Yang, Ling
  • Hua, Zhipeng
  • Li, Song
  • Tu, Zhengkai

Abstract

The development of efficient energy systems and renewable alternative energy sources has attracted substantial attention owing to the rise in environmental deterioration and energy usage. A combined cooling, heating, and power (CCHP) system can fully use different types of energy with low emissions and offers a viable solution to address these issues. Demand flexibility is a key issue in collaborating with different types of supplies and demands for optimal system operation. In this study, a proton-exchange membrane fuel cell driven CCHP system with humidity control is proposed to fully investigate the impact of demand flexibility on system operation. A novel flexible load regulation strategy was designed for the proposed system. The results show that flexible load regulation can reduce the thermal storage capacity by 25 %. Supplement heating and cooling do not need operate in winter and summer. With flexible regulation, the heating load can be reduced by 15.69 % in winter, and the cooling and dehumidification loads can be reduced by 30.71 % and 6.09 % in summer. The reductions in hydrogen consumption can reach 1.98 % and 7.51 % during winter and summer. The proposed method can simultaneously increase the exergy efficiency and reduce carbon emission, as well as the economy cost.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:renene:v:228:y:2024:i:c:s0960148124006682
    DOI: 10.1016/j.renene.2024.120600
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124006682
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120600?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kang, Hyungmook & Choi, Sun & Lee, Dae-Young, 2018. "Analytic solution to predict the outlet air states of a desiccant wheel with an arbitrary split ratio," Energy, Elsevier, vol. 153(C), pages 301-310.
    2. Wu, Zhibin & Li, Nianping & Wargocki, Pawel & Peng, Jingqing & Li, Jingming & Cui, Haijiao, 2019. "Field study on thermal comfort and energy saving potential in 11 split air-conditioned office buildings in Changsha, China," Energy, Elsevier, vol. 182(C), pages 471-482.
    3. Rafique, M. Mujahid & Gandhidasan, P. & Bahaidarah, Haitham M.S., 2016. "Liquid desiccant materials and dehumidifiers – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 179-195.
    4. Yang, Shipin & Chellali, Ryad & Lu, Xiaohua & Li, Lijuan & Bo, Cuimei, 2016. "Modeling and optimization for proton exchange membrane fuel cell stack using aging and challenging P systems based optimization algorithm," Energy, Elsevier, vol. 109(C), pages 569-577.
    5. Li, Xian & Kan, Xiang & Sun, Xiangyu & Zhao, Yao & Ge, Tianshu & Dai, Yanjun & Wang, Chi-Hwa, 2019. "Performance analysis of a biomass gasification-based CCHP system integrated with variable-effect LiBr-H2O absorption cooling and desiccant dehumidification," Energy, Elsevier, vol. 176(C), pages 961-979.
    6. Zhang, Xiangyu & Pipattanasomporn, Manisa & Rahman, Saifur, 2017. "A self-learning algorithm for coordinated control of rooftop units in small- and medium-sized commercial buildings," Applied Energy, Elsevier, vol. 205(C), pages 1034-1049.
    7. Arsalis, Alexandros, 2019. "A comprehensive review of fuel cell-based micro-combined-heat-and-power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 391-414.
    8. Fong, K.F. & Lee, C.K., 2019. "Performance investigation of a SOFC-primed micro-combined hybrid cooling and power system in hot and humid regions," Energy, Elsevier, vol. 189(C).
    9. Zhou, Yuan & Wang, Jiangjiang & Liu, Yi & Yan, Rujing & Ma, Yanpeng, 2021. "Incorporating deep learning of load predictions to enhance the optimal active energy management of combined cooling, heating and power system," Energy, Elsevier, vol. 233(C).
    10. Hu, Hejuan & Sun, Xiaoyan & Zeng, Bo & Gong, Dunwei & Zhang, Yong, 2022. "Enhanced evolutionary multi-objective optimization-based dispatch of coal mine integrated energy system with flexible load," Applied Energy, Elsevier, vol. 307(C).
    11. Gao, D.C. & Sun, Y.J. & Ma, Z. & Ren, H., 2021. "A review on integration and design of desiccant air-conditioning systems for overall performance improvements," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    12. Hui, Hongxun & Ding, Yi & Song, Yonghua & Rahman, Saifur, 2019. "Modeling and control of flexible loads for frequency regulation services considering compensation of communication latency and detection error," Applied Energy, Elsevier, vol. 250(C), pages 161-174.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Jingxian & Wang, Sen & Sun, Yongwen & Zhang, Cunman & Lv, Hong, 2025. "Multi-dimensional performance evaluation and energy analysis of proton exchange membrane water electrolyzer," Applied Energy, Elsevier, vol. 377(PB).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gao, D.C. & Sun, Y.J. & Ma, Z. & Ren, H., 2021. "A review on integration and design of desiccant air-conditioning systems for overall performance improvements," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    2. Hui, Hongxun & Ding, Yi & Song, Yonghua, 2020. "Adaptive time-delay control of flexible loads in power systems facing accidental outages," Applied Energy, Elsevier, vol. 275(C).
    3. Su, Minqi & Han, Xiaoqu & Dai, Yanbing & Wang, Jinshi & Liu, Jiping & Yan, Junjie, 2024. "Investigation on recirculated regenerative solid desiccant-assisted dehumidification system: Impact of system configurations and desiccant materials," Energy, Elsevier, vol. 286(C).
    4. Cui, Yuanlong & Zhu, Jie & Zoras, Stamatis & Liu, Lin, 2021. "Review of the recent advances in dew point evaporative cooling technology: 3E (energy, economic and environmental) assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    5. Luo, Jielin & Yang, Hongxing, 2022. "A state-of-the-art review on the liquid properties regarding energy and environmental performance in liquid desiccant air-conditioning systems," Applied Energy, Elsevier, vol. 325(C).
    6. d'Amore-Domenech, Rafael & Leo, Teresa J. & Pollet, Bruno G., 2021. "Bulk power transmission at sea: Life cycle cost comparison of electricity and hydrogen as energy vectors," Applied Energy, Elsevier, vol. 288(C).
    7. Shan, Kui & Wang, Shengwei & Zhuang, Chaoqun, 2021. "Controlling a large constant speed centrifugal chiller to provide grid frequency regulation: A validation based on onsite tests," Applied Energy, Elsevier, vol. 300(C).
    8. Kim, Donghun & Braun, James E., 2020. "Model predictive control for supervising multiple rooftop unit economizers to fully leverage free cooling energy resource," Applied Energy, Elsevier, vol. 275(C).
    9. Suranjan Salins, Sampath & Kumar, Shiva & Shetty, Sawan & Raghavendra, R., 2024. "Theoretical and experimental study of the effect of biomass based organic packing wettability on the LDDS and its life cycle analysis," Renewable Energy, Elsevier, vol. 225(C).
    10. Fekadu, Geleta & Subudhi, Sudhakar, 2018. "Renewable energy for liquid desiccants air conditioning system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 364-379.
    11. Liu, Jiejie & Li, Yao & Ma, Yanan & Qin, Ruomu & Meng, Xianyang & Wu, Jiangtao, 2023. "Two-layer multiple scenario optimization framework for integrated energy system based on optimal energy contribution ratio strategy," Energy, Elsevier, vol. 285(C).
    12. Wenshang Chen & Yang Liu & Ben Chen, 2022. "Numerical Simulation on Pressure Dynamic Response Characteristics of Hydrogen Systems for Fuel Cell Vehicles," Energies, MDPI, vol. 15(7), pages 1-18, March.
    13. Roy, Dibyendu & Roy, Sumit & Smallbone, Andrew & Roskilly, Anthony Paul, 2024. "Assessing the techno-economic viability of a trigeneration system integrating ammonia-fuelled solid oxide fuel cell," Applied Energy, Elsevier, vol. 357(C).
    14. Xu, Liangfei & Fang, Chuan & Hu, Junming & Cheng, Siliang & Li, Jianqiu & Ouyang, Minggao & Lehnert, Werner, 2017. "Parameter extraction of polymer electrolyte membrane fuel cell based on quasi-dynamic model and periphery signals," Energy, Elsevier, vol. 122(C), pages 675-690.
    15. Xu, Shuhui & Wang, Yong & Wang, Zhi, 2019. "Parameter estimation of proton exchange membrane fuel cells using eagle strategy based on JAYA algorithm and Nelder-Mead simplex method," Energy, Elsevier, vol. 173(C), pages 457-467.
    16. Priya, K. & Sathishkumar, K. & Rajasekar, N., 2018. "A comprehensive review on parameter estimation techniques for Proton Exchange Membrane fuel cell modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 121-144.
    17. Cai, Jinliang & Zheng, Xu & Pan, Quanwen & Li, Dan & Wang, Weining, 2025. "Advances in hygroscopic metal-organic frameworks for air, water & energy applications," Applied Energy, Elsevier, vol. 377(PA).
    18. La Fata, Alice & Brignone, Massimo & Procopio, Renato & Bracco, Stefano & Delfino, Federico & Barbero, Giulia & Barilli, Riccardo, 2024. "An energy management system to schedule the optimal participation to electricity markets and a statistical analysis of the bidding strategies over long time horizons," Renewable Energy, Elsevier, vol. 228(C).
    19. Zhao, Jian & Ozden, Adnan & Shahgaldi, Samaneh & Alaefour, Ibrahim E. & Li, Xianguo & Hamdullahpur, Feridun, 2018. "Effect of Pt loading and catalyst type on the pore structure of porous electrodes in polymer electrolyte membrane (PEM) fuel cells," Energy, Elsevier, vol. 150(C), pages 69-76.
    20. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:228:y:2024:i:c:s0960148124006682. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.