IDEAS home Printed from https://ideas.repec.org/a/sae/engenv/v34y2023i3p560-585.html
   My bibliography  Save this article

Energy and exergy analysis of the transient performance of a qanat-source heat pump using TRNSYS-MATLAB co-simulator

Author

Listed:
  • Maryam Karami
  • Hajar Abdshahi

Abstract

In this study, the transient performance of a qanat source heat pump is investigated using a TRNSYS-MATLAB co-simulator. The water/ethylene glycol-to-air compression heat pump and the helical coil heat exchanger, which is used to inject heat to or to extract heat from the qanat water, are mathematically modeled in matrix laboratory (MATLAB), and then, coupled to transient systems simulation (TRNSYS) model to evaluate the system transient performance and calculate the heating and cooling loads of the case study building. Comparison of the performance of the qanat source heat pump with an air source heat pump showed that the coefficient of performance of the qanat source heat pump is at least 5% and at most 34% higher than that of the air source heat pump. By increasing the flow rate of the working fluid in the helical coil heat exchanger from 2 L/min to 8 L/min, the coefficient of performance of the qanat source heat pump increases at least 12% and at most 34.1%. The maximum increase in energy efficiency ratio and free energy ratio of the system by the similar increase in the flow rate is 46.4% and 24.8%, respectively. The exergy analysis of the qanat source heat pump reveals that the minimum and maximum exergy efficiency of the system is 32% and 85.5%, respectively. The findings also indicate that the most exergy destruction occurs in the condenser in heating mode and in the evaporator in cooling mode.

Suggested Citation

  • Maryam Karami & Hajar Abdshahi, 2023. "Energy and exergy analysis of the transient performance of a qanat-source heat pump using TRNSYS-MATLAB co-simulator," Energy & Environment, , vol. 34(3), pages 560-585, May.
  • Handle: RePEc:sae:engenv:v:34:y:2023:i:3:p:560-585
    DOI: 10.1177/0958305X211068152
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0958305X211068152
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0958305X211068152?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
    ---><---

    References listed on IDEAS

    as
    1. Camdali, Unal & Bulut, Murat & Sozbir, Nedim, 2015. "Numerical modeling of a ground source heat pump: The Bolu case," Renewable Energy, Elsevier, vol. 83(C), pages 352-361.
    2. Büyükalaca, O. & Ekinci, F. & Yılmaz, T., 2003. "Experimental investigation of Seyhan River and dam lake as heat source–sink for a heat pump," Energy, Elsevier, vol. 28(2), pages 157-169.
    3. Al-Habaibeh, Amin & Athresh, Anup P. & Parker, Keith, 2018. "Performance analysis of using mine water from an abandoned coal mine for heating of buildings using an open loop based single shaft GSHP system," Applied Energy, Elsevier, vol. 211(C), pages 393-402.
    4. Qiao, Zhenyong & Long, Tianhe & Li, Wuyan & Zeng, Liyue & Li, Yongcai & Lu, Jun & Cheng, Yong & Xie, Ling & Yang, Lulu, 2020. "Performance assessment of ground-source heat pumps (GSHPs) in the Southwestern and Northwestern China: In situ measurement," Renewable Energy, Elsevier, vol. 153(C), pages 214-227.
    5. Luo, Jin & Luo, Zequan & Xie, Jihai & Xia, Dongsheng & Huang, Wei & Shao, Haibin & Xiang, Wei & Rohn, Joachim, 2018. "Investigation of shallow geothermal potentials for different types of ground source heat pump systems (GSHP) of Wuhan city in China," Renewable Energy, Elsevier, vol. 118(C), pages 230-244.
    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. Gaudard, Adrien & Wüest, Alfred & Schmid, Martin, 2019. "Using lakes and rivers for extraction and disposal of heat: Estimate of regional potentials," Renewable Energy, Elsevier, vol. 134(C), pages 330-342.
    2. Pan, Shu-Yuan & Gao, Mengyao & Shah, Kinjal J. & Zheng, Jianming & Pei, Si-Lu & Chiang, Pen-Chi, 2019. "Establishment of enhanced geothermal energy utilization plans: Barriers and strategies," Renewable Energy, Elsevier, vol. 132(C), pages 19-32.
    3. Luo, Jin & Qiao, Yu & Xiang, Wei & Rohn, Joachim, 2020. "Measurements and analysis of the thermal properties of a sedimentary succession in Yangtze plate in China," Renewable Energy, Elsevier, vol. 147(P2), pages 2708-2723.
    4. Zhang, H.-F. & Ge, X.-S. & Ye, H., 2007. "Modeling of a space heating and cooling system with seasonal energy storage," Energy, Elsevier, vol. 32(1), pages 51-58.
    5. Wang, Dan-Yi & Wang, Xueqing & Ding, Ru-Xi, 2022. "Welfare maximization with the least subsidy: Pricing model for surface water loop heat pump PPP projects considering occupancy rate growth and coefficient of performance," Renewable Energy, Elsevier, vol. 194(C), pages 1131-1141.
    6. Marco Pellegrini & Augusto Bianchini, 2018. "The Innovative Concept of Cold District Heating Networks: A Literature Review," Energies, MDPI, vol. 11(1), pages 1-16, January.
    7. Kalantari, Hosein & Ali Ghoreishi-Madiseh, Seyed, 2023. "Study of mine exhaust heat recovery with fully-coupled direct capture and indirect delivery systems," Applied Energy, Elsevier, vol. 334(C).
    8. Yu, Jie & Zhang, Huan & You, Shijun, 2012. "Heat transfer analysis and experimental verification of casted heat exchanger in non-icing and icing conditions in winter," Renewable Energy, Elsevier, vol. 41(C), pages 39-43.
    9. Bao, Ting & Liu, Zhen (Leo), 2019. "Thermohaline stratification modeling in mine water via double-diffusive convection for geothermal energy recovery from flooded mines," Applied Energy, Elsevier, vol. 237(C), pages 566-580.
    10. Kljajić, Miroslav V. & Anđelković, Aleksandar S. & Hasik, Vaclav & Munćan, Vladimir M. & Bilec, Melissa, 2020. "Shallow geothermal energy integration in district heating system: An example from Serbia," Renewable Energy, Elsevier, vol. 147(P2), pages 2791-2800.
    11. Jianan Liu & Hao Yu & Haoran Ji & Kunpeng Zhao & Chaoxian Lv & Peng Li, 2020. "Optimal Operation Strategy of a Community Integrated Energy System Constrained by the Seasonal Balance of Ground Source Heat Pumps," Sustainability, MDPI, vol. 12(11), pages 1-24, June.
    12. Mingzhen Wang & Eric Hu & Lei Chen, 2021. "Energy-Saving Potential of Thermal Diode Tank Assisted Refrigeration and Air-Conditioning Systems," Energies, MDPI, vol. 15(1), pages 1-16, December.
    13. Shen, Chao & Jiang, Yiqiang & Yao, Yang & Wang, Xinlei, 2012. "An experimental comparison of two heat exchangers used in wastewater source heat pump: A novel dry-expansion shell-and-tube evaporator versus a conventional immersed evaporator," Energy, Elsevier, vol. 47(1), pages 600-608.
    14. Chao, Shen & Yiqiang, Jiang & Yang, Yao & Shiming, Deng, 2012. "Experimental performance evaluation of a novel dry-expansion evaporator with defouling function in a wastewater source heat pump," Applied Energy, Elsevier, vol. 95(C), pages 202-209.
    15. Shohei Kaneko & Akira Tomigashi & Takeshi Ishihara & Gaurav Shrestha & Mayumi Yoshioka & Youhei Uchida, 2020. "Proposal for a Method Predicting Suitable Areas for Installation of Ground-Source Heat Pump Systems Based on Response Surface Methodology," Energies, MDPI, vol. 13(8), pages 1-18, April.
    16. Yang, Li-Hao & Liang, Jyun-De & Hsu, Chien-Yeh & Yang, Tai-Her & Chen, Sih-Li, 2019. "Enhanced efficiency of photovoltaic panels by integrating a spray cooling system with shallow geothermal energy heat exchanger," Renewable Energy, Elsevier, vol. 134(C), pages 970-981.
    17. Weigert, Andreas & Hopf, Konstantin & Günther, Sebastian A. & Staake, Thorsten, 2022. "Heat pump inspections result in large energy savings when a pre-selection of households is performed: A promising use case of smart meter data," Energy Policy, Elsevier, vol. 169(C).
    18. Lee, Hoseong & Saleh, Khaled & Hwang, Yunho & Radermacher, Reinhard, 2012. "Optimization of novel heat exchanger design for the application to low temperature lift heat pump," Energy, Elsevier, vol. 42(1), pages 204-212.
    19. Dongdong Liu & Yanyong Xiang, 2019. "A Semi-Analytical Method for Three-Dimensional Heat Transfer in Multi-Fracture Enhanced Geothermal Systems," Energies, MDPI, vol. 12(7), pages 1-11, March.
    20. Wanli Wang & Guiling Wang & Feng Liu & Chunlei Liu, 2022. "Characterization of Ground Thermal Conditions for Shallow Geothermal Exploitation in the Central North China Plain (NCP) Area," Energies, MDPI, vol. 15(19), pages 1-16, October.

    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:sae:engenv:v:34:y:2023:i:3:p:560-585. 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: SAGE Publications (email available below). General contact details of provider: .

    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.