IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i10p11254-11275d57000.html
   My bibliography  Save this article

Energy Management of a Hybrid-Power Gas Engine-Driven Heat Pump

Author

Listed:
  • Qingkun Meng

    (Air Conditioning and Refrigeration Laboratory, School of Energy and Environment, Southeast University, 2 Sipailou Street, Xuanwu District, Nanjing 210096, China)

  • Liang Cai

    (Air Conditioning and Refrigeration Laboratory, School of Energy and Environment, Southeast University, 2 Sipailou Street, Xuanwu District, Nanjing 210096, China)

  • Wenxiu Ji

    (Air Conditioning and Refrigeration Laboratory, School of Energy and Environment, Southeast University, 2 Sipailou Street, Xuanwu District, Nanjing 210096, China)

  • Jie Yan

    (Air Conditioning and Refrigeration Laboratory, School of Energy and Environment, Southeast University, 2 Sipailou Street, Xuanwu District, Nanjing 210096, China)

  • Tao Zhang

    (Air Conditioning and Refrigeration Laboratory, School of Energy and Environment, Southeast University, 2 Sipailou Street, Xuanwu District, Nanjing 210096, China)

  • Xiaosong Zhang

    (Air Conditioning and Refrigeration Laboratory, School of Energy and Environment, Southeast University, 2 Sipailou Street, Xuanwu District, Nanjing 210096, China)

Abstract

The hybrid-power gas engine-driven heat pump (HPGHP) combines hybrid power technology with a gas engine heat pump. The engine in the power system is capable of operating constantly with high thermal efficiency and low emissions during different operating modes. In this paper, the mathematical models of various components is established, including the engine thermal efficiency map and the motor efficiency map. The comprehensive charging/discharging efficiency model and energy management optimization strategy model which is proposed to maximize the efficiency of instantaneous HPGHP system are established. Then, different charging/discharging torque limits are obtained. Finally, a novel gas engine economical zone control strategy which combined with the SOC of battery in real time is put forward. The main operating parameters of HPGHP system under energy management are simulated by Matlab/Simulink and validated by experimental data, such as engine and motor operating torque, fuel consumption rate and comprehensive efficiency, etc . The results show that during 3600 s’ run-time, the SOC value of battery packs varies between 0.58 and 0.705, the fuel consumption rate reaches minimum values of approximately 291.3 g/(kW h) when the compressor speed is nearly 1550 rpm in mode D, the engine thermal efficiency and comprehensive efficiency reach maximum values of approximately 0.2727 and 0.2648 when the compressor speed is 1575 rpm and 1475 rpm, respectively, in mode D. In general, the motor efficiency can be maintained above 0.85 in either mode.

Suggested Citation

  • Qingkun Meng & Liang Cai & Wenxiu Ji & Jie Yan & Tao Zhang & Xiaosong Zhang, 2015. "Energy Management of a Hybrid-Power Gas Engine-Driven Heat Pump," Energies, MDPI, vol. 8(10), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:10:p:11254-11275:d:57000
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/10/11254/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/8/10/11254/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Huang, K. & Tzeng, Sheng-Chung, 2004. "A new parallel-type hybrid electric-vehicle," Applied Energy, Elsevier, vol. 79(1), pages 51-64, September.
    2. Elgendy, E. & Schmidt, J., 2010. "Experimental study of gas engine driven air to water heat pump in cooling mode," Energy, Elsevier, vol. 35(6), pages 2461-2467.
    3. Soares M.C. Borba, Bruno & Szklo, Alexandre & Schaeffer, Roberto, 2012. "Plug-in hybrid electric vehicles as a way to maximize the integration of variable renewable energy in power systems: The case of wind generation in northeastern Brazil," Energy, Elsevier, vol. 37(1), pages 469-481.
    4. Wang, Jieyue & Cai, Liang & Wang, Yanwei & Ma, Yanbin & Zhang, Xiaosong, 2013. "Modeling and optimization matching on drive system of a coaxial parallel-type hybrid-power gas engine heat pump," Energy, Elsevier, vol. 55(C), pages 1196-1204.
    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. Wang, Jieyue & Cai, Liang & Wang, Yanwei & Ma, Yanbin & Zhang, Xiaosong, 2013. "Modeling and optimization matching on drive system of a coaxial parallel-type hybrid-power gas engine heat pump," Energy, Elsevier, vol. 55(C), pages 1196-1204.
    2. Bartosz Pawela & Marek Jaszczur, 2022. "Review of Gas Engine Heat Pumps," Energies, MDPI, vol. 15(13), pages 1-16, July.
    3. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "A methodology for economic and environmental analysis of electric vehicles with different operational conditions," Energy, Elsevier, vol. 61(C), pages 118-127.
    4. Fichter, Tobias & Soria, Rafael & Szklo, Alexandre & Schaeffer, Roberto & Lucena, Andre F.P., 2017. "Assessing the potential role of concentrated solar power (CSP) for the northeast power system of Brazil using a detailed power system model," Energy, Elsevier, vol. 121(C), pages 695-715.
    5. Bellekom, Sandra & Benders, René & Pelgröm, Steef & Moll, Henk, 2012. "Electric cars and wind energy: Two problems, one solution? A study to combine wind energy and electric cars in 2020 in The Netherlands," Energy, Elsevier, vol. 45(1), pages 859-866.
    6. Dai, Hancheng & Fujimori, Shinichiro & Silva Herran, Diego & Shiraki, Hiroto & Masui, Toshihiko & Matsuoka, Yuzuru, 2017. "The impacts on climate mitigation costs of considering curtailment and storage of variable renewable energy in a general equilibrium model," Energy Economics, Elsevier, vol. 64(C), pages 627-637.
    7. Wu, Jinglai & Zhang, Yunqing & Ruan, Jiageng & Liang, Zhaowen & Liu, Kai, 2023. "Rule and optimization combined real-time energy management strategy for minimizing cost of fuel cell hybrid electric vehicles," Energy, Elsevier, vol. 285(C).
    8. Yong, Jia Ying & Ramachandaramurthy, Vigna K. & Tan, Kang Miao & Mithulananthan, N., 2015. "A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 365-385.
    9. Jinquan, Guo & Hongwen, He & Jiankun, Peng & Nana, Zhou, 2019. "A novel MPC-based adaptive energy management strategy in plug-in hybrid electric vehicles," Energy, Elsevier, vol. 175(C), pages 378-392.
    10. Honarmand, Masoud & Zakariazadeh, Alireza & Jadid, Shahram, 2014. "Optimal scheduling of electric vehicles in an intelligent parking lot considering vehicle-to-grid concept and battery condition," Energy, Elsevier, vol. 65(C), pages 572-579.
    11. Malagueta, Diego & Szklo, Alexandre & Borba, Bruno Soares Moreira Cesar & Soria, Rafael & Aragão, Raymundo & Schaeffer, Roberto & Dutra, Ricardo, 2013. "Assessing incentive policies for integrating centralized solar power generation in the Brazilian electric power system," Energy Policy, Elsevier, vol. 59(C), pages 198-212.
    12. Ashique, Ratil H. & Salam, Zainal & Bin Abdul Aziz, Mohd Junaidi & Bhatti, Abdul Rauf, 2017. "Integrated photovoltaic-grid dc fast charging system for electric vehicle: A review of the architecture and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1243-1257.
    13. Miranda, Raul & Simoes, Sofia & Szklo, Alexandre & Schaeffer, Roberto, 2019. "Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model," Energy, Elsevier, vol. 167(C), pages 791-803.
    14. Lucena, André F.P. & Clarke, Leon & Schaeffer, Roberto & Szklo, Alexandre & Rochedo, Pedro R.R. & Nogueira, Larissa P.P. & Daenzer, Kathryn & Gurgel, Angelo & Kitous, Alban & Kober, Tom, 2016. "Climate policy scenarios in Brazil: A multi-model comparison for energy," Energy Economics, Elsevier, vol. 56(C), pages 564-574.
    15. Portugal-Pereira, Joana & Köberle, Alexandre C. & Soria, Rafael & Lucena, André F.P. & Szklo, Alexandre & Schaeffer, Roberto, 2016. "Overlooked impacts of electricity expansion optimisation modelling: The life cycle side of the story," Energy, Elsevier, vol. 115(P2), pages 1424-1435.
    16. Chen, Tao & Cai, Liang & Wen, Xiantai & Zhang, Xiaosong, 2021. "Experimental research and energy consumption analysis on the economic performance of a hybrid-power gas engine heat pump with LiFePO4 battery," Energy, Elsevier, vol. 214(C).
    17. Sanaye, Sepehr & Chahartaghi, Mahmood & Asgari, Hesam, 2013. "Dynamic modeling of Gas Engine driven Heat Pump system in cooling mode," Energy, Elsevier, vol. 55(C), pages 195-208.
    18. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
    19. McPherson, Madeleine & Karney, Bryan, 2017. "A scenario based approach to designing electricity grids with high variable renewable energy penetrations in Ontario, Canada: Development and application of the SILVER model," Energy, Elsevier, vol. 138(C), pages 185-196.
    20. Hota, Ashish Ranjan & Juvvanapudi, Mahesh & Bajpai, Prabodh, 2014. "Issues and solution approaches in PHEV integration to smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 217-229.

    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:8:y:2015:i:10:p:11254-11275:d:57000. 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.