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Development and validation of a 1D model for turbocharger compressors under deep-surge operation

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  • De Bellis, Vincenzo
  • Bontempo, Rodolfo

Abstract

The paper presents the validation of a 1D compressor model (1DCM) applied to the simulation of deep-surge operation. The compressor is described following an enhanced map-based approach, where proper "virtual pipes" are placed upstream and downstream the compressor to deal with the mass and energy storage and wave propagation effects. The proposed methodology, which takes into account main flow and thermal loss mechanisms, is based on the employment of "extended" compressor maps obtained through a steady version of the 1DCM. The tuning and validation of the 1DCM have been carried out comparing its results with the experimental data. Preliminarily, the steady version of the 1DCM is tuned against to the measured map for various rotational speeds. Subsequently, it is used to derive the extended map, including both direct and reverse flow branches. Finally, the unsteady version of the 1DCM is validated against experimental data denoting a satisfactory agreement, especially in terms of pulse frequency, amplitude and global shape. Summarizing, the proposed model, combining the reduced computational effort typical of 1D simulation with the adoption of advanced features such as "virtual pipe" and extended compressor map, shows the capability to capture the phenomenology of the compressor surging.

Suggested Citation

  • De Bellis, Vincenzo & Bontempo, Rodolfo, 2018. "Development and validation of a 1D model for turbocharger compressors under deep-surge operation," Energy, Elsevier, vol. 142(C), pages 507-517.
    • Handle: RePEc:eee:energy:v:142:y:2018:i:c:p:507-517
    DOI: 10.1016/j.energy.2017.10.045
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    References listed on IDEAS

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    1. Wei, Haiqiao & Zhu, Tianyu & Shu, Gequn & Tan, Linlin & Wang, Yuesen, 2012. "Gasoline engine exhaust gas recirculation – A review," Applied Energy, Elsevier, vol. 99(C), pages 534-544.
    2. Zhen, Xudong & Wang, Yang & Xu, Shuaiqing & Zhu, Yongsheng & Tao, Chengjun & Xu, Tao & Song, Mingzhi, 2012. "The engine knock analysis – An overview," Applied Energy, Elsevier, vol. 92(C), pages 628-636.
    3. Bontempo, R. & Cardone, M. & Manna, M. & Vorraro, G., 2017. "A statistical approach to the analysis of the surge phenomenon," Energy, Elsevier, vol. 124(C), pages 502-509.
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    Cited by:

    1. Zhou, Xia & Zhang, Hanwei & Fang, Song & Rong, Yangyiming & Xu, Zhuoren & Jiang, Hanying & Wang, Kai & Zhi, Xiaoqin & Qiu, Limin, 2022. "Off-design performance analysis with various operation methods for ORC-based compression heat recovery system in cryogenic air separation units," Energy, Elsevier, vol. 261(PB).
    2. Zhou, Xia & Zhang, Hanwei & Rong, Yangyiming & Song, Jian & Fang, Song & Xu, Zhuoren & Zhi, Xiaoqin & Wang, Kai & Qiu, Limin & Markides, Christos N., 2022. "Comparative study for air compression heat recovery based on organic Rankine cycle (ORC) in cryogenic air separation units," Energy, Elsevier, vol. 255(C).
    3. Park, Yeseul & Choi, Minsung & Choi, Gyungmin, 2022. "Fault detection of industrial large-scale gas turbine for fuel distribution characteristics in start-up procedure using artificial neural network method," Energy, Elsevier, vol. 251(C).
    4. Powers, Katherine & Kennedy, Ian & Archer, Jamie & Eynon, Paul & Horsley, John & Brace, Chris & Copeland, Colin & Milewski, Paul, 2022. "A new first-principles model to predict mild and deep surge for a centrifugal compressor," Energy, Elsevier, vol. 244(PB).
    5. Vu, Hoang Nghia & Truong Le Tri, Dat & Nguyen, Huu Linh & Kim, Younghyeon & Yu, Sangseok, 2023. "Multifunctional bypass valve for water management and surge protection in a proton-exchange membrane fuel cell supply-air system," Energy, Elsevier, vol. 278(C).

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