IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i9p3797-d1386993.html

Analysis of the Cooperation of a Compressor Heat Pump with a PV System

Author

Listed:
  • Krzysztof Tomczuk

    (Institute of Mechanical Engineering, Warsaw University of Life Sciences, Nowoursynowska St. 164, 02-787 Warszawa, Poland)

  • Paweł Obstawski

    (Institute of Mechanical Engineering, Warsaw University of Life Sciences, Nowoursynowska St. 164, 02-787 Warszawa, Poland)

Abstract

The decarbonization of heating systems is one of the present political and legislative directions of the European Union and its Member States. The main activities concern the energy performance of buildings and energy efficiency. The mentioned UE directives are the basis for the financial support of high-emission fossil fuel thermal energy source replacement with emission-free ones, in particular heat pumps. Other aspects are the support of PV installations and the thermal insulation of buildings. 85% of EU buildings were built before 2000, and among those, 75% have poor energy performance. Therefore, a significant number of buildings have only high-temperature wall radiators, and this was a motivation to prepare this article. The main innovation of this research was a new theoretical design of a high-temperature heat pump based on ecological refrigerants. The presented solution allows wall radiators to receive a hot water supply with temperatures of up to 85 °C during external temperatures of up to −20 °C. Typical heat pumps do not have these kinds of parameters, so the authors decided to verify the possibility of operating this device in such a wide temperature range. Another important aspect was the analysis of PV support. Finally, this paper investigates the possibility of heating an energy-efficient house with the newly designed high-temperature heat pump. Depending on the location in Poland, i.e., Suwałki, Warsaw, and Wrocław, the total electric energy supplied to the compressors was 2538–3364 kWh. The energy provided by the PV to supply power to the compressors is 482–570 kWh. The achieved PV energy self-consumption is 16.9–19.0%. The Seasonal Coefficient of Performance (SCOP) of the heat pump is 1.825–2.038 without PV and 2.515–2.970 with PV.

Suggested Citation

  • Krzysztof Tomczuk & Paweł Obstawski, 2024. "Analysis of the Cooperation of a Compressor Heat Pump with a PV System," Sustainability, MDPI, vol. 16(9), pages 1-29, April.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3797-:d:1386993
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/9/3797/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/9/3797/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beck, T. & Kondziella, H. & Huard, G. & Bruckner, T., 2017. "Optimal operation, configuration and sizing of generation and storage technologies for residential heat pump systems in the spotlight of self-consumption of photovoltaic electricity," Applied Energy, Elsevier, vol. 188(C), pages 604-619.
    2. Arteconi, Alessia & Ciarrocchi, Eleonora & Pan, Quanwen & Carducci, Francesco & Comodi, Gabriele & Polonara, Fabio & Wang, Ruzhu, 2017. "Thermal energy storage coupled with PV panels for demand side management of industrial building cooling loads," Applied Energy, Elsevier, vol. 185(P2), pages 1984-1993.
    3. Protopapadaki, Christina & Saelens, Dirk, 2017. "Heat pump and PV impact on residential low-voltage distribution grids as a function of building and district properties," Applied Energy, Elsevier, vol. 192(C), pages 268-281.
    4. Hongbing Chen & Haoyu Niu & Lei Zhang & Yaxuan Xiong & Huixing Zhai & Jinzhe Nie, 2018. "Performance testing of a heat pipe PV/T heat pump system under different working modes," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(2), pages 177-183.
    5. Junghans, Lars, 2015. "Evaluation of the economic and environmental feasibility of heat pump systems in residential buildings, with varying qualities of the building envelope," Renewable Energy, Elsevier, vol. 76(C), pages 699-705.
    6. Zhang, Qi & Tezuka, Tetsuo & Ishihara, Keiichi N. & Mclellan, Benjamin C., 2012. "Integration of PV power into future low-carbon smart electricity systems with EV and HP in Kansai Area, Japan," Renewable Energy, Elsevier, vol. 44(C), pages 99-108.
    7. Franco, Alessandro & Fantozzi, Fabio, 2016. "Experimental analysis of a self consumption strategy for residential building: The integration of PV system and geothermal heat pump," Renewable Energy, Elsevier, vol. 86(C), pages 1075-1085.
    8. Zhou, Jinzhi & Zhao, Xudong & Ma, Xiaoli & Qiu, Zhongzhu & Ji, Jie & Du, Zhenyu & Yu, Min, 2016. "Experimental investigation of a solar driven direct-expansion heat pump system employing the novel PV/micro-channels-evaporator modules," Applied Energy, Elsevier, vol. 178(C), pages 484-495.
    9. Milan, Christian & Bojesen, Carsten & Nielsen, Mads Pagh, 2012. "A cost optimization model for 100% renewable residential energy supply systems," Energy, Elsevier, vol. 48(1), pages 118-127.
    10. Salpakari, Jyri & Lund, Peter, 2016. "Optimal and rule-based control strategies for energy flexibility in buildings with PV," Applied Energy, Elsevier, vol. 161(C), pages 425-436.
    11. Ji, Jie & Liu, Keliang & Chow, Tin-tai & Pei, Gang & He, Wei & He, Hanfeng, 2008. "Performance analysis of a photovoltaic heat pump," Applied Energy, Elsevier, vol. 85(8), pages 680-693, August.
    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. Fischer, David & Madani, Hatef, 2017. "On heat pumps in smart grids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 342-357.
    2. Fraga, Carolina & Hollmuller, Pierre & Schneider, Stefan & Lachal, Bernard, 2018. "Heat pump systems for multifamily buildings: Potential and constraints of several heat sources for diverse building demands," Applied Energy, Elsevier, vol. 225(C), pages 1033-1053.
    3. Herrando, M. & Coca-Ortegón, A. & Guedea, I. & Fueyo, N., 2023. "Experimental validation of a solar system based on hybrid photovoltaic-thermal collectors and a reversible heat pump for the energy provision in non-residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    4. Song, Zhiying & Ji, Jie & Cai, Jingyong & Zhao, Bin & Li, Zhaomeng, 2021. "Investigation on a direct-expansion solar-assisted heat pump with a novel hybrid compound parabolic concentrator/photovoltaic/fin evaporator," Applied Energy, Elsevier, vol. 299(C).
    5. Wu, Jinshun & Zhang, Xingxing & Shen, Jingchun & Wu, Yupeng & Connelly, Karen & Yang, Tong & Tang, Llewellyn & Xiao, Manxuan & Wei, Yixuan & Jiang, Ke & Chen, Chao & Xu, Peng & Wang, Hong, 2017. "A review of thermal absorbers and their integration methods for the combined solar photovoltaic/thermal (PV/T) modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 839-854.
    6. Zygmunt Lipnicki & Marta Gortych & Daniel Polak, 2024. "The Joint Use of a Phase Heat Accumulator and a Compressor Heat Pump," Energies, MDPI, vol. 17(20), pages 1-13, October.
    7. Hoarau, Quentin & Perez, Yannick, 2018. "Interactions between electric mobility and photovoltaic generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 510-522.
    8. Liang, Ruobing & Zhou, Chao & Zhang, Jili & Chen, Jianquan & Riaz, Ahmad, 2020. "Characteristics analysis of the photovoltaic thermal heat pump system on refrigeration mode: An experimental investigation," Renewable Energy, Elsevier, vol. 146(C), pages 2450-2461.
    9. Wang, Chuyao & Ji, Jie & Song, Zhiying & Ke, Wei, 2024. "Performance analysis and capacity configuration of building energy system integrated with PV/T technology under different operation strategies," Energy, Elsevier, vol. 293(C).
    10. Edmunds, Calum & Galloway, Stuart & Dixon, James & Bukhsh, Waqquas & Elders, Ian, 2021. "Hosting capacity assessment of heat pumps and optimised electric vehicle charging on low voltage networks," Applied Energy, Elsevier, vol. 298(C).
    11. Macedon Moldovan & Bogdan-Gabriel Burduhos & Ion Visa, 2021. "Yearly Electrical Energy Assessment of a Photovoltaic Platform/Geothermal Heat Pump Prosumer," Energies, MDPI, vol. 14(13), pages 1-18, June.
    12. Liu, Wenjie & Yao, Jian & Jia, Teng & Zhao, Yao & Dai, Yanjun & Zhu, Junjie & Novakovic, Vojislav, 2023. "The performance optimization of DX-PVT heat pump system for residential heating," Renewable Energy, Elsevier, vol. 206(C), pages 1106-1119.
    13. Hannu S. Laine & Jyri Salpakari & Erin E. Looney & Hele Savin & Ian Marius Peters & Tonio Buonassisi, 2019. "Meeting Global Cooling Demand with Photovoltaics during the 21st Century," Papers 1902.10080, arXiv.org.
    14. Efkarpidis, Nikolaos A. & Vomva, Styliani A. & Christoforidis, Georgios C. & Papagiannis, Grigoris K., 2022. "Optimal day-to-day scheduling of multiple energy assets in residential buildings equipped with variable-speed heat pumps," Applied Energy, Elsevier, vol. 312(C).
    15. O'Shaughnessy, Eric & Cutler, Dylan & Ardani, Kristen & Margolis, Robert, 2018. "Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings," Applied Energy, Elsevier, vol. 213(C), pages 11-21.
    16. Salpakari, Jyri & Rasku, Topi & Lindgren, Juuso & Lund, Peter D., 2017. "Flexibility of electric vehicles and space heating in net zero energy houses: an optimal control model with thermal dynamics and battery degradation," Applied Energy, Elsevier, vol. 190(C), pages 800-812.
    17. Rieck, Katharina & Dabrock, Kristina & Pflugradt, Noah & Weinand, Jann Michael & Stolten, Detlef, 2025. "Large-scale quantification of the future self-covered heat demand using a nationwide residential building database," Energy, Elsevier, vol. 317(C).
    18. Rick Cox & Shalika Walker & Joep van der Velden & Phuong Nguyen & Wim Zeiler, 2020. "Flattening the Electricity Demand Profile of Office Buildings for Future-Proof Smart Grids," Energies, MDPI, vol. 13(9), pages 1-27, May.
    19. Wakui, Tetsuya & Sawada, Kento & Yokoyama, Ryohei & Aki, Hirohisa, 2019. "Predictive management for energy supply networks using photovoltaics, heat pumps, and battery by two-stage stochastic programming and rule-based control," Energy, Elsevier, vol. 179(C), pages 1302-1319.
    20. Guo, Xiaochao & Wu, Yiping & Deng, Jiewen & Peng, Chenwei & Qiang, Wenbo & Wei, Qingpeng, 2025. "Investigation into the switching mechanism of photovoltaic-thermal power heat pipe/heat pump composite cycle system in cogeneration mode," Energy, Elsevier, vol. 340(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:16:y:2024:i:9:p:3797-:d:1386993. 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.