IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v281y2023ics0360544223014718.html
   My bibliography  Save this article

Research on the adaptive proportional-integral control method of a direct-expansion photovoltaic-thermal heat pump system

Author

Listed:
  • Han, Youhua
  • Ma, Liangdong
  • Zhang, Jili
  • Mi, Peiyuan
  • Guo, Xiaochao

Abstract

An adaptive proportional-integral control method (APCM) of a direct expansion photovoltaic-thermal heat pump (DX-PVTHP) system is proposed. First, the APCM was adopted and the proportional and integral factors were determined by experiments. Then, a universal engineering model combined the 10-factor model and temperature prediction model is built. The initial electronic expansion valve (EEV) opening during start-up under different working conditions is predicted and the EEV opening under dramatic irradiance changes is corrected under the APCM. Multiple experiments were conducted to evaluate the effectiveness of the APCM and test the performance of DX-PVTHP system under the APCM. The results reveal that the stability of superheat improved under typical cloudy skies and the maximum overshoot value was 3.2 °C. The overshoot time percentage of superheat was 27.54% with a decrease of 36.12% relative to the conventional control method. Moreover, the average coefficient of performance and photoelectric conversion efficiency were 3.51 and 13.25% in household mode, and 3.16 and 13.78% in commercial mode. Furthermore, the comprehensive coefficient of heating and electricity generation (CHE) is proposed to evaluate the comprehensive coefficient of the DX-PVTHP system. The CHE of the system was obtained 34.92% in household mode and 32.83% in commercial mode.

Suggested Citation

  • Han, Youhua & Ma, Liangdong & Zhang, Jili & Mi, Peiyuan & Guo, Xiaochao, 2023. "Research on the adaptive proportional-integral control method of a direct-expansion photovoltaic-thermal heat pump system," Energy, Elsevier, vol. 281(C).
    • Handle: RePEc:eee:energy:v:281:y:2023:i:c:s0360544223014718
    DOI: 10.1016/j.energy.2023.128077
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223014718
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.128077?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. Kalogirou, Soteris A., 2004. "Optimization of solar systems using artificial neural-networks and genetic algorithms," Applied Energy, Elsevier, vol. 77(4), pages 383-405, April.
    2. Wang, Zhangyuan & Yang, Wansheng & Qiu, Feng & Zhang, Xiangmei & Zhao, Xudong, 2015. "Solar water heating: From theory, application, marketing and research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 68-84.
    3. Han, Youhua & Liu, Yang & Lu, Shixiang & Basalike, Pie & Zhang, Jili, 2021. "Electrical performance and power prediction of a roll-bond photovoltaic thermal array under dewing and frosting conditions," Energy, Elsevier, vol. 237(C).
    4. Lu, Shixiang & Zhang, Jili & Liang, Ruobing & Wang, Jiameng, 2022. "Heating and power generation characteristics of the vapor injected photovoltaic-thermal heat pump system," Renewable Energy, Elsevier, vol. 192(C), pages 678-691.
    5. Liang, Ruobing & Pan, Qiangguang & Wang, Peng & Zhang, Jili, 2018. "Experiment research of solar PV/T cogeneration system on the building façade driven by a refrigerant pump," Energy, Elsevier, vol. 161(C), pages 744-752.
    6. Tyagi, V.V. & Kaushik, S.C. & Tyagi, S.K., 2012. "Advancement in solar photovoltaic/thermal (PV/T) hybrid collector technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1383-1398.
    7. Gautam, Abhishek & Chamoli, Sunil & Kumar, Alok & Singh, Satyendra, 2017. "A review on technical improvements, economic feasibility and world scenario of solar water heating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 541-562.
    8. Chiari, Luca & Zecca, Antonio, 2011. "Constraints of fossil fuels depletion on global warming projections," Energy Policy, Elsevier, vol. 39(9), pages 5026-5034, September.
    9. Mi, Peiyuan & Zhang, Jili & Han, Youhua & Guo, Xiaochao, 2022. "Operation performance study and prediction of photovoltaic thermal heat pump system engineering in winter," Applied Energy, Elsevier, vol. 306(PB).
    10. Ji, Jie & Pei, Gang & Chow, Tin-tai & He, Wei & Zhang, Aifeng & Dong, Jun & Yi, Hua, 2005. "Performance of multi-functional domestic heat-pump system," Applied Energy, Elsevier, vol. 80(3), pages 307-326, March.
    11. Bertrand, Alexandre & Mastrucci, Alessio & Schüler, Nils & Aggoune, Riad & Maréchal, François, 2017. "Characterisation of domestic hot water end-uses for integrated urban thermal energy assessment and optimisation," Applied Energy, Elsevier, vol. 186(P2), pages 152-166.
    12. Kong, Xiangqiang & Jiang, Kailin & Dong, Shandong & Li, Ying & Li, Jianbo, 2018. "Control strategy and experimental analysis of a direct-expansion solar-assisted heat pump water heater with R134a," Energy, Elsevier, vol. 145(C), pages 17-24.
    13. Zeng, Yu-Rong & Zeng, Yi & Choi, Beomjin & Wang, Lin, 2017. "Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network," Energy, Elsevier, vol. 127(C), pages 381-396.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Han, Youhua & Ma, Liangdong & Zhang, Jili & Mi, Peiyuan & Guo, Xiaochao, 2024. "Superheat matching control method for a roll-bond photovoltaic-thermal heat pump system," Energy, Elsevier, vol. 290(C).

    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. Han, Youhua & Ma, Liangdong & Zhang, Jili & Mi, Peiyuan & Guo, Xiaochao, 2024. "Superheat matching control method for a roll-bond photovoltaic-thermal heat pump system," Energy, Elsevier, vol. 290(C).
    2. Han, Youhua & Liu, Yang & Lu, Shixiang & Basalike, Pie & Zhang, Jili, 2021. "Electrical performance and power prediction of a roll-bond photovoltaic thermal array under dewing and frosting conditions," Energy, Elsevier, vol. 237(C).
    3. Shao, Nina & Ma, Liangdong & Zhang, Jili, 2020. "Experimental investigation on the performance of direct-expansion roof-PV/T heat pump system," Energy, Elsevier, vol. 195(C).
    4. Casanovas-Rubio, Maria del Mar & Armengou, Jaume, 2018. "Decision-making tool for the optimal selection of a domestic water-heating system considering economic, environmental and social criteria: Application to Barcelona (Spain)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 741-753.
    5. Yanfeng Liu & Tao Li & Yaowen Chen & Dengjia Wang, 2017. "Optimization of Solar Water Heating System under Time and Spatial Partition Heating in Rural Dwellings," Energies, MDPI, vol. 10(10), pages 1-19, October.
    6. Zhang, Chunxiao & Chen, Lei & Zhou, Ziqi & Wang, Zhanwei & Wang, Lin & Wei, Wenzhe, 2023. "Heat harvesting characteristics of building façades integrated photovoltaic /thermal-heat pump system in winter," Renewable Energy, Elsevier, vol. 215(C).
    7. Zhang, Chunxiao & Chen, Lei & Zhou, Ziqi & Wang, Zhanwei & Wang, Lin & Zhang, Yingbo, 2023. "Cooling performance of all-orientated building facades integrated with photovoltaic-sky radiative cooling system in summer," Renewable Energy, Elsevier, vol. 217(C).
    8. Mi, Peiyuan & Zhang, Jili & Gao, Jin & Han, Youhua, 2023. "Study on optimal allocation of solar photovoltaic thermal heat pump integrated energy system for domestic hot water," Renewable Energy, Elsevier, vol. 219(P1).
    9. Abbas, Sajid & Yuan, Yanping & Zhou, Jinzhi & Hassan, Atazaz & Yu, Min & Yasheng, Ji, 2022. "Experimental and analytical analysis of the impact of different base plate materials and design parameters on the performance of the photovoltaic/thermal system," Renewable Energy, Elsevier, vol. 187(C), pages 522-536.
    10. Jie, Ji & Jingyong, Cai & Wenzhu, Huang & Yan, Feng, 2015. "Experimental study on the performance of solar-assisted multi-functional heat pump based on enthalpy difference lab with solar simulator," Renewable Energy, Elsevier, vol. 75(C), pages 381-388.
    11. Alva, Guruprasad & Lin, Yaxue & Fang, Guiyin, 2018. "An overview of thermal energy storage systems," Energy, Elsevier, vol. 144(C), pages 341-378.
    12. Hossain, Farzad & Karim, Md. Rezwanul & Bhuiyan, Arafat A., 2022. "A review on recent advancements of the usage of nano fluid in hybrid photovoltaic/thermal (PV/T) solar systems," Renewable Energy, Elsevier, vol. 188(C), pages 114-131.
    13. Evangelisti, Luca & De Lieto Vollaro, Roberto & Asdrubali, Francesco, 2019. "Latest advances on solar thermal collectors: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    14. Zhang, Feng & Cai, Jingyong & Ji, Jie & Han, Kedong & Ke, Wei, 2020. "Experimental investigation on the heating and cooling performance of a solar air composite heat source heat pump," Renewable Energy, Elsevier, vol. 161(C), pages 221-229.
    15. Akhlaque Ahmad Khan & Ahmad Faiz Minai & Rupendra Kumar Pachauri & Hasmat Malik, 2022. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review," Energies, MDPI, vol. 15(17), pages 1-29, August.
    16. Shao, Suola & Zhang, Huan & You, Shijun & Zheng, Wandong & Jiang, Lingfei, 2019. "Thermal performance analysis of a new refrigerant-heated radiator coupled with air-source heat pump heating system," Applied Energy, Elsevier, vol. 247(C), pages 78-88.
    17. Mondol, Jayanta Deb & Yohanis, Yigzaw G. & Norton, Brian, 2008. "Solar radiation modelling for the simulation of photovoltaic systems," Renewable Energy, Elsevier, vol. 33(5), pages 1109-1120.
    18. Pan, Jeng-Shyang & Hu, Pei & Chu, Shu-Chuan, 2021. "Binary fish migration optimization for solving unit commitment," Energy, Elsevier, vol. 226(C).
    19. Rafael Herrera-Limones & Ángel Luis León-Rodríguez & Álvaro López-Escamilla, 2019. "Solar Decathlon Latin America and Caribbean: Comfort and the Balance between Passive and Active Design," Sustainability, MDPI, vol. 11(13), pages 1-17, June.
    20. Diego Lopez-Bernal & David Balderas & Pedro Ponce & Arturo Molina, 2021. "Education 4.0: Teaching the Basics of KNN, LDA and Simple Perceptron Algorithms for Binary Classification Problems," Future Internet, MDPI, vol. 13(8), pages 1-14, July.

    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:energy:v:281:y:2023:i:c:s0360544223014718. 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/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.