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Surrogate modelling of compressor characteristics for fuel-cell applications

Author

Listed:
  • Tirnovan, R.
  • Giurgea, S.
  • Miraoui, A.
  • Cirrincione, M.

Abstract

The compressor is an important auxiliary for fuel-cell (FC) operation. Growing fuel-cell system efficiency involves an optimal fuel cell energy management and the air management is a key issue. Thus, a good modelling for static and dynamic operation of all components of the FC system, and in particular of the compressor, is required. The difficulties, due to a lack of information about the performance of compressors, demand predictive and modern approximation methods to be used for compressor modelling. To overcome these issues, the paper proposes and presents a moving least squares (MLS) algorithm for obtaining a surrogate model of the centrifugal compressor. The experimental data provided by manufacturers are used for this task. The results can be used for the development of an off-design model or the overall dynamic simulation of the behaviour of a FC system.

Suggested Citation

  • Tirnovan, R. & Giurgea, S. & Miraoui, A. & Cirrincione, M., 2008. "Surrogate modelling of compressor characteristics for fuel-cell applications," Applied Energy, Elsevier, vol. 85(5), pages 394-403, May.
    • Handle: RePEc:eee:appene:v:85:y:2008:i:5:p:394-403
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    Citations

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    Cited by:

    1. Bizon, Nicu, 2014. "Tracking the maximum efficiency point for the FC system based on extremum seeking scheme to control the air flow," Applied Energy, Elsevier, vol. 129(C), pages 147-157.
    2. Sanghyun Yun & Jinwon Yun & Jaeyoung Han, 2023. "Development of a 470-Horsepower Fuel Cell–Battery Hybrid Xcient Dynamic Model Using Simscape TM," Energies, MDPI, vol. 16(24), pages 1-22, December.
    3. Bizon, N., 2010. "On tracking robustness in adaptive extremum seeking control of the fuel cell power plants," Applied Energy, Elsevier, vol. 87(10), pages 3115-3130, October.
    4. Tirnovan, R. & Giurgea, S. & Miraoui, A. & Cirrincione, M., 2009. "Modelling the characteristics of turbocompressors for fuel cell systems using hybrid method based on moving least squares," Applied Energy, Elsevier, vol. 86(7-8), pages 1283-1289, July.
    5. Ahmad Najjaran & Saleh Meibodi & Zhiwei Ma & Huashan Bao & Tony Roskilly, 2023. "Experimentally Validated Modelling of an Oscillating Diaphragm Compressor for Chemisorption Energy Technology Applications," Energies, MDPI, vol. 16(1), pages 1-17, January.
    6. 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).
    7. Tirnovan, R. & Giurgea, S. & Miraoui, A., 2011. "Strategies for optimizing the opening of the outlet air circuit's nozzle to improve the efficiency of the PEMFC generator," Applied Energy, Elsevier, vol. 88(4), pages 1197-1204, April.
    8. Xenos, Dionysios P. & Cicciotti, Matteo & Kopanos, Georgios M. & Bouaswaig, Ala E.F. & Kahrs, Olaf & Martinez-Botas, Ricardo & Thornhill, Nina F., 2015. "Optimization of a network of compressors in parallel: Real Time Optimization (RTO) of compressors in chemical plants – An industrial case study," Applied Energy, Elsevier, vol. 144(C), pages 51-63.
    9. Glotić, Arnel & Zamuda, Aleš, 2015. "Short-term combined economic and emission hydrothermal optimization by surrogate differential evolution," Applied Energy, Elsevier, vol. 141(C), pages 42-56.
    10. Seongku Heo & Jaeyoo Choi & Yooseong Park & Neil Vaz & Hyunchul Ju, 2024. "Reliability-Based Design Optimization of the PEMFC Flow Field with Consideration of Statistical Uncertainty of Design Variables," Energies, MDPI, vol. 17(8), pages 1-27, April.
    11. Milosavljevic, Predrag & Marchetti, Alejandro G. & Cortinovis, Andrea & Faulwasser, Timm & Mercangöz, Mehmet & Bonvin, Dominique, 2020. "Real-time optimization of load sharing for gas compressors in the presence of uncertainty," Applied Energy, Elsevier, vol. 272(C).

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