IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i6p2578-d1091922.html
   My bibliography  Save this article

Analysis of Surrogate Models for Vapour Transport and Distribution in a Hollow Fibre Membrane Humidifier

Author

Listed:
  • Markus Pollak

    (Institut für Thermodynamik, Technische Universität Braunschweig, Hans-Sommer-Straße 5, 38106 Braunschweig, Germany)

  • Philipp Bekemeyer

    (DLR-German Aerospace Center, Institute of Aerodynamics and Flow Technology, Lilienthalplatz 7, 38108 Braunschweig, Germany)

  • Nicholas Lemke

    (Institut für Thermodynamik, Technische Universität Braunschweig, Hans-Sommer-Straße 5, 38106 Braunschweig, Germany
    TLK-Thermo GmbH, Rebenring 31, 38106 Braunschweig, Germany)

  • Wilhelm Tegethoff

    (Institut für Thermodynamik, Technische Universität Braunschweig, Hans-Sommer-Straße 5, 38106 Braunschweig, Germany
    TLK-Thermo GmbH, Rebenring 31, 38106 Braunschweig, Germany)

  • Juergen Koehler

    (Institut für Thermodynamik, Technische Universität Braunschweig, Hans-Sommer-Straße 5, 38106 Braunschweig, Germany)

Abstract

To achieve high efficiency and low degradation of a polymer electrolyte fuel cell (PEMFC), it is necessary to maintain an appropriate level of humidification in the fuel cell membrane. Thus, membrane humidifiers are typically used in PEMFC systems. Parameter studies are important to evaluate membrane humidifiers under various operating conditions to reduce the amount of physical tests. However, simulative studies are computationally expensive when using detailed models. To reduce the computational cost, surrogate models are set up. In our study, a 3D computational fluid dynamics (CFD) model of a hollow fibre membrane humidifier is presented and validated using measurement data. Based on the results of the validated CFD model, a surrogate model of the humidifier is constructed using proper orthogonal decomposition (POD) in combination with different interpolation methods. To evaluate the surrogate models, their results are compared against reference solutions from the CFD model. Our results show that a Halton design combined with a thin-plate-spline interpolation results in the most accurate surrogate humidifier model. Its normalised mean absolute error for 18 test points when predicting the water mass fraction in the membrane humidifier is 0.58 % . Furthermore, it is demonstrated that the solutions of the POD model can be used to initialise CFD calculations and thus accelerate the calculation of steady state CFD solutions.

Suggested Citation

  • Markus Pollak & Philipp Bekemeyer & Nicholas Lemke & Wilhelm Tegethoff & Juergen Koehler, 2023. "Analysis of Surrogate Models for Vapour Transport and Distribution in a Hollow Fibre Membrane Humidifier," Energies, MDPI, vol. 16(6), pages 1-23, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2578-:d:1091922
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/6/2578/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/6/2578/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sigal Levy & David Steinberg, 2010. "Computer experiments: a review," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 311-324, December.
    2. Bai, Fan & Quan, Hong-Bing & Yin, Ren-Jie & Zhang, Zhuo & Jin, Shu-Qi & He, Pu & Mu, Yu-Tong & Gong, Xiao-Ming & Tao, Wen-Quan, 2022. "Three-dimensional multi-field digital twin technology for proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 324(C).
    3. Ozen, Dilek Nur & Timurkutluk, Bora & Altinisik, Kemal, 2016. "Effects of operation temperature and reactant gas humidity levels on performance of PEM fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1298-1306.
    4. Abed Alaswad & Abdelnasir Omran & Jose Ricardo Sodre & Tabbi Wilberforce & Gianmichelle Pignatelli & Michele Dassisti & Ahmad Baroutaji & Abdul Ghani Olabi, 2020. "Technical and Commercial Challenges of Proton-Exchange Membrane (PEM) Fuel Cells," Energies, MDPI, vol. 14(1), pages 1-21, December.
    5. Chang, Yafei & Qin, Yanzhou & Yin, Yan & Zhang, Junfeng & Li, Xianguo, 2018. "Humidification strategy for polymer electrolyte membrane fuel cells – A review," Applied Energy, Elsevier, vol. 230(C), pages 643-662.
    Full references (including those not matched with items on IDEAS)

    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. Hoang Nghia Vu & Dinh Hoang Trinh & Dat Truong Le Tri & Sangseok Yu, 2023. "Bypass Configurations of Membrane Humidifiers for Water Management in PEM Fuel Cells," Energies, MDPI, vol. 16(19), pages 1-17, October.
    2. Yang, Zirong & Du, Qing & Jia, Zhiwei & Yang, Chunguang & Xuan, Jin & Jiao, Kui, 2019. "A comprehensive proton exchange membrane fuel cell system model integrating various auxiliary subsystems," Applied Energy, Elsevier, vol. 256(C).
    3. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    4. Hou, Junbo & Yang, Min & Ke, Changchun & Zhang, Junliang, 2020. "Control logics and strategies for air supply in PEM fuel cell engines," Applied Energy, Elsevier, vol. 269(C).
    5. Yao, Jing & Wu, Zhen & Wang, Huan & Yang, Fusheng & Xuan, Jin & Xing, Lei & Ren, Jianwei & Zhang, Zaoxiao, 2022. "Design and multi-objective optimization of low-temperature proton exchange membrane fuel cells with efficient water recovery and high electrochemical performance," Applied Energy, Elsevier, vol. 324(C).
    6. Bhosale, Amit C. & Rengaswamy, Raghunathan, 2019. "Interfacial contact resistance in polymer electrolyte membrane fuel cells: Recent developments and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    7. Antony M. Overstall & David C. Woods, 2016. "Multivariate emulation of computer simulators: model selection and diagnostics with application to a humanitarian relief model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 483-505, August.
    8. Chen, Xin & Zhang, Ying & Xu, Sheng & Dong, Fei, 2023. "Bibliometric analysis for research trends and hotspots in heat and mass transfer and its management of proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 333(C).
    9. Yan, Weichao & Cui, Xin & Meng, Xiangzhao & Yang, Chuanjun & Liu, Yilin & An, Hui & Jin, Liwen, 2023. "Effects of membrane characteristics on the evaporative cooling performance for hollow fiber membrane modules," Energy, Elsevier, vol. 270(C).
    10. Tian, Wei, 2013. "A review of sensitivity analysis methods in building energy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 411-419.
    11. Huo, Sen & Jiao, Kui & Park, Jae Wan, 2019. "On the water transport behavior and phase transition mechanisms in cold start operation of PEM fuel cell," Applied Energy, Elsevier, vol. 233, pages 776-788.
    12. Sonja Kuhnt & David Steinberg, 2010. "Design and analysis of computer experiments," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 307-309, December.
    13. Abdul Ghani Olabi & Enas Taha Sayed, 2023. "Developments in Hydrogen Fuel Cells," Energies, MDPI, vol. 16(5), pages 1-5, March.
    14. Shantanu Pardhi & Sajib Chakraborty & Dai-Duong Tran & Mohamed El Baghdadi & Steven Wilkins & Omar Hegazy, 2022. "A Review of Fuel Cell Powertrains for Long-Haul Heavy-Duty Vehicles: Technology, Hydrogen, Energy and Thermal Management Solutions," Energies, MDPI, vol. 15(24), pages 1-55, December.
    15. Olivier Bethoux, 2020. "Hydrogen Fuel Cell Road Vehicles: State of the Art and Perspectives," Energies, MDPI, vol. 13(21), pages 1-28, November.
    16. Bai, Fan & Quan, Hong-Bing & Yin, Ren-Jie & Zhang, Zhuo & Jin, Shu-Qi & He, Pu & Mu, Yu-Tong & Gong, Xiao-Ming & Tao, Wen-Quan, 2022. "Three-dimensional multi-field digital twin technology for proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 324(C).
    17. Dapeng Gong & Sichuan Xu & Yuan Gao, 2023. "Investigation of Water and Heat Transfer Mechanism in PEMFCs Based on a Two-Phase Non-Isothermal Model," Energies, MDPI, vol. 16(2), pages 1-20, January.
    18. Bizon, Nicu, 2019. "Fuel saving strategy using real-time switching of the fueling regulators in the proton exchange membrane fuel cell system," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    19. Sidonie Lefebvre & Antoine Roblin & Suzanne Varet & Gérard Durand, 2010. "Metamodeling of aircraft infrared signature dispersion," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 405-422, December.
    20. Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "Impact of adjustment strategies on building design process in different climates oriented by multiple performance," Applied Energy, Elsevier, vol. 266(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:gam:jeners:v:16:y:2023:i:6:p:2578-:d:1091922. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.