IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v238y2025ics0960148124020287.html
   My bibliography  Save this article

A performance prediction model of variable frequency air source heat pump used for photovoltaic power generation scheduling in low-carbon buildings

Author

Listed:
  • Wang, Wei
  • Tan, Yang
  • Wei, Wenzhe
  • Sun, Yuying
  • Han, Shulun
  • Dai, Chuanmin

Abstract

Recently, the photovoltaic-driven variable frequency air source heat pump (PV-VFASHP) space heating system has been widely used in low-carbon buildings. However, owing to the lack of performance prediction model for VFASHPs, the self-consumption rate of PV power generation is far lower than expected. To solve this problem, a simulation model and a test rig for VFASHP were built, and its heating performance under different conditions was investigated. A performance prediction model for heating capacity and COP was developed considering the joint effect of outdoor temperature, supply water temperature, and compressor speed. Then, this model was applied to a PV-VFASHP heating system in a low-carbon building in Beijing, and the application effect on sunny, cloudy, and rainy days was analyzed. Results show that the performance prediction model can predict the heating capacity and COP accurately. Experimental results of 13 VFASHPs from 8 manufacturers show that the relative errors are all within ±10 %. When regulating the PV-VFASHP system based on this performance prediction model, the self-consumption rate of PV power reaches 100 % on all the three days, contributing 77.26 %, 73.77 %, and 67.84 % of total power consumption. Additionally, the VFASHP operates efficiently, achieving an average COP of 3.59.

Suggested Citation

  • Wang, Wei & Tan, Yang & Wei, Wenzhe & Sun, Yuying & Han, Shulun & Dai, Chuanmin, 2025. "A performance prediction model of variable frequency air source heat pump used for photovoltaic power generation scheduling in low-carbon buildings," Renewable Energy, Elsevier, vol. 238(C).
    • Handle: RePEc:eee:renene:v:238:y:2025:i:c:s0960148124020287
    DOI: 10.1016/j.renene.2024.121960
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124020287
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.121960?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. Sangmu Bae & Soowon Chae & Yujin Nam, 2022. "Performance Analysis of Integrated Photovoltaic-Thermal and Air Source Heat Pump System through Energy Simulation," Energies, MDPI, vol. 15(2), pages 1-16, January.
    2. Wang, Yubo & Quan, Zhenhua & Zhao, Yaohua & Wang, Lincheng & Bai, Ze & Shi, Junzhang, 2024. "Energy and exergy analysis of a novel dual-source heat pump system with integrated phase change energy storage," Renewable Energy, Elsevier, vol. 222(C).
    3. Bae, Sangmu & Chae, Hobyung & Nam, Yujin, 2023. "Experimental analysis of an integrated system using photovoltaic–thermal and air source heat pump for real applications," Renewable Energy, Elsevier, vol. 217(C).
    4. Zhang, Donglin & Ding, Yong & Jiang, Xiangting & He, Wehao, 2024. "Construction of carbon emission evaluation methods and indicators for low-carbon technologies in buildings," Energy, Elsevier, vol. 312(C).
    5. Mirza, Adeel Feroz & Shu, Zhaokun & Usman, Muhammad & Mansoor, Majad & Ling, Qiang, 2024. "Quantile-transformed multi-attention residual framework (QT-MARF) for medium-term PV and wind power prediction," Renewable Energy, Elsevier, vol. 220(C).
    6. Lu, Menglong & Sun, Yongjun & Ma, Zhenjun, 2024. "Multi-objective design optimization of multiple energy systems in net/nearly zero energy buildings under uncertainty correlations," Applied Energy, Elsevier, vol. 370(C).
    7. Liu, Bingchun & Huo, Xiankai, 2024. "Prediction of Photovoltaic power generation and analyzing of carbon emission reduction capacity in China," Renewable Energy, Elsevier, vol. 222(C).
    8. Ahmed, Ijaz & Rehan, Muhammad & Basit, Abdul & Malik, Saddam Hussain & Ahmed, Waqas & Hong, Keum-Shik, 2024. "Adaptive salp swarm algorithm for sustainable economic and environmental dispatch under renewable energy sources," Renewable Energy, Elsevier, vol. 223(C).
    9. Carroll, P. & Chesser, M. & Lyons, P., 2020. "Air Source Heat Pumps field studies: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    10. Xu, Wei & Liu, Changping & Li, Angui & Li, Ji & Qiao, Biao, 2020. "Feasibility and performance study on hybrid air source heat pump system for ultra-low energy building in severe cold region of China," Renewable Energy, Elsevier, vol. 146(C), pages 2124-2133.
    11. Thaker, Jayesh & Höller, Robert, 2024. "Hybrid model for intra-day probabilistic PV power forecast," Renewable Energy, Elsevier, vol. 232(C).
    12. Ma, Yitai & Liu, Zhongyan & Tian, Hua, 2013. "A review of transcritical carbon dioxide heat pump and refrigeration cycles," Energy, Elsevier, vol. 55(C), pages 156-172.
    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. Zhou, Dan & Zhang, Yi & Wu, Yuting & Wang, Yunfei & Zhang, Guanmin, 2024. "Research on gas-liquid interface parameters related to thermal performance of frost-free evaporator of air source heat pump," Renewable Energy, Elsevier, vol. 237(PB).
    2. Piotr Ciuman & Jan Kaczmarczyk & Małgorzata Jastrzębska, 2022. "Simulation Analysis of Heat Pumps Application for the Purposes of the Silesian Botanical Garden Facilities in Poland," Energies, MDPI, vol. 16(1), pages 1-19, December.
    3. Konrad, Mary Elizabeth & MacDonald, Brendan D., 2023. "Cold climate air source heat pumps: Industry progress and thermodynamic analysis of market-available residential units," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    4. Peacock, Malcolm & Fragaki, Aikaterini & Matuszewski, Bogdan J, 2023. "The impact of heat electrification on the seasonal and interannual electricity demand of Great Britain," Applied Energy, Elsevier, vol. 337(C).
    5. Zhao, Zhen & Luo, Jielin & Zou, Dexin & Yang, Kaiyin & Wang, Qin & Chen, Guangming, 2023. "Experimental investigation on the inhibition of flame retardants on the flammability of R1234ze(E)," Energy, Elsevier, vol. 263(PE).
    6. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.
    7. Fachrizal Aksan & Vishnu Suresh & Przemysław Janik, 2025. "PV Generation Prediction Using Multilayer Perceptron and Data Clustering for Energy Management Support," Energies, MDPI, vol. 18(6), pages 1-16, March.
    8. Giovanni Murano & Francesca Caffari & Nicolandrea Calabrese, 2024. "Energy Potential of Existing Reversible Air-to-Air Heat Pumps for Residential Heating," Sustainability, MDPI, vol. 16(14), pages 1-23, July.
    9. Fan Feng & Ze Zhang & Xiufang Liu & Changhai Liu & Yu Hou, 2020. "The Influence of Internal Heat Exchanger on the Performance of Transcritical CO 2 Water Source Heat Pump Water Heater," Energies, MDPI, vol. 13(7), pages 1-14, April.
    10. Dorota Chwieduk & Bartosz Chwieduk, 2023. "Application of Heat Pumps in New Housing Estates in Cities Suburbs as an Means of Energy Transformation in Poland," Energies, MDPI, vol. 16(8), pages 1-19, April.
    11. Aktekeli, Burak & Aktaş, Mustafa & Koşan, Meltem & Arslan, Erhan & Şevik, Seyfi, 2025. "Experimental study of a novel design bi-fluid based photovoltaic thermal (PVT)-assisted heat pump dryer," Renewable Energy, Elsevier, vol. 238(C).
    12. Jiang, Yan & Zhang, Huan & Wang, Yeming & Wang, Yaran & Liu, Minzhang & You, Shijun & Wu, Zhangxiang & Fan, Man & Wei, Shen, 2022. "Research on the operation strategies of the solar assisted heat pump with triangular solar air collector," Energy, Elsevier, vol. 246(C).
    13. Zhao, Zilong & Lv, Guoquan & Xu, Yanwen & Lin, Yu-Feng & Wang, Pingfeng & Wang, Xinlei, 2024. "Enhancing ground source heat pump system design optimization: A stochastic model incorporating transient geological factors and decision variables," Renewable Energy, Elsevier, vol. 225(C).
    14. Qinghong Peng & Qungui Du, 2016. "Progress in Heat Pump Air Conditioning Systems for Electric Vehicles—A Review," Energies, MDPI, vol. 9(4), pages 1-17, March.
    15. Ziółkowski, Paweł & Witanowski, Łukasz & Klonowicz, Piotr & Mikielewicz, Dariusz, 2024. "High-speed multi-stage gas-steam turbine with flow bleeding in a novel thermodynamic cycle for decarbonizing power generation," Renewable Energy, Elsevier, vol. 237(PB).
    16. Eleni Oikonomou & Nici Zimmermann & Michael Davies & Tadj Oreszczyn, 2022. "Behavioural Change as a Domestic Heat Pump Performance Driver: Insights on the Influence of Feedback Systems from Multiple Case Studies in the UK," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    17. Tobias Brudermueller & Ugne Potthoff & Elgar Fleisch & Felix Wortmann & Thorsten Staake, 2025. "Estimation of energy efficiency of heat pumps in residential buildings using real operation data," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
    18. Bae, Sangmu & Chae, Hobyung & Nam, Yujin, 2023. "Experimental analysis of an integrated system using photovoltaic–thermal and air source heat pump for real applications," Renewable Energy, Elsevier, vol. 217(C).
    19. Edward Vuong & Alan S. Fung & Rakesh Kumar, 2024. "Performance Enhancement of a Building-Integrated Photovoltaic/Thermal System Coupled with an Air Source Heat Pump," Energies, MDPI, vol. 18(1), pages 1-32, December.
    20. Han, Zepeng & Han, Wei & Sui, Jun, 2024. "Exergo-environmental cost optimization and thermodynamic analysis for a solar-driven combined heating and power system," Energy, Elsevier, vol. 302(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:238:y:2025:i:c:s0960148124020287. 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.