IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v209y2020ics0360544220315723.html
   My bibliography  Save this article

Exergy performance and optimization potential of refrigeration plants in free cooling operation

Author

Listed:
  • Brenner, Lorenz
  • Tillenkamp, Frank
  • Ghiaus, Christian

Abstract

Exergy analysis has been widely used to assess refrigeration systems by evaluating exergy losses or exergy efficiency. The latter is mostly used as an indicator to determine the system performance, which requires the comparison of the actual system with its idealized reversible version, but not the practical achievable efficiency. Therefore, a practice-oriented evaluation method for refrigeration plants in free cooling operation is proposed, based on exergy analysis and technical standards as baseline. By considering the exergy input of auxiliary devices, the overall design of hydraulic circuits can be assessed on subsystem level. The achievable optimization potential compared to the state of the art in technology and the performance is revealed with the introduced optimization potential index (OPI). The application is demonstrated on a case study, where the analysis reveals an adequate operation of the field plant in general. Most cooling locations show potential for improvement, which is indicated by an OPI superior to zero. Moreover, the auxiliary electrical exergy input shows the same magnitude as the thermal exergy input, which emphasizes the importance of reducing the electrical energy usage of auxiliary devices in refrigeration plants to increase the performance.

Suggested Citation

  • Brenner, Lorenz & Tillenkamp, Frank & Ghiaus, Christian, 2020. "Exergy performance and optimization potential of refrigeration plants in free cooling operation," Energy, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:energy:v:209:y:2020:i:c:s0360544220315723
    DOI: 10.1016/j.energy.2020.118464
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220315723
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.118464?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. Brenner, Lorenz & Tillenkamp, Frank & Krütli, Markus & Ghiaus, Christian, 2020. "Optimization potential index (OPI): An evaluation method for performance assessment and optimization potential of chillers in HVAC plants," Applied Energy, Elsevier, vol. 259(C).
    2. Menberg, Kathrin & Heo, Yeonsook & Choi, Wonjun & Ooka, Ryozo & Choudhary, Ruchi & Shukuya, Masanori, 2017. "Exergy analysis of a hybrid ground-source heat pump system," Applied Energy, Elsevier, vol. 204(C), pages 31-46.
    3. Razmara, M. & Maasoumy, M. & Shahbakhti, M. & Robinett, R.D., 2015. "Optimal exergy control of building HVAC system," Applied Energy, Elsevier, vol. 156(C), pages 555-565.
    4. Wu, Di & Hu, Bin & Wang, R.Z., 2018. "Performance simulation and exergy analysis of a hybrid source heat pump system with low GWP refrigerants," Renewable Energy, Elsevier, vol. 116(PA), pages 775-785.
    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. Sahin, Erol & Adiguzel, Nesrin, 2022. "Experimental analysis of the effects of climate conditions on heat pump system performance," Energy, Elsevier, vol. 243(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. Brenner, Lorenz & Tillenkamp, Frank & Krütli, Markus & Ghiaus, Christian, 2020. "Optimization potential index (OPI): An evaluation method for performance assessment and optimization potential of chillers in HVAC plants," Applied Energy, Elsevier, vol. 259(C).
    2. Kazanci, Ongun B. & Shukuya, Masanori, 2022. "A theoretical study of the effects of different heating loads on the exergy performance of water-based and air-based space heating systems in buildings," Energy, Elsevier, vol. 238(PC).
    3. Cui, Can & Zhang, Xin & Cai, Wenjian, 2020. "An energy-saving oriented air balancing method for demand controlled ventilation systems with branch and black-box model," Applied Energy, Elsevier, vol. 264(C).
    4. Stanek, Wojciech & Simla, Tomasz & Gazda, Wiesław, 2019. "Exergetic and thermo-ecological assessment of heat pump supported by electricity from renewable sources," Renewable Energy, Elsevier, vol. 131(C), pages 404-412.
    5. Gianluca Serale & Massimo Fiorentini & Alfonso Capozzoli & Daniele Bernardini & Alberto Bemporad, 2018. "Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities," Energies, MDPI, vol. 11(3), pages 1-35, March.
    6. Zou, Lingeng & Liu, Ye & Yu, Jianlin, 2023. "Energy, exergy and economic evaluation of a solar enhanced ejector expansion heat pump cycle," Renewable Energy, Elsevier, vol. 217(C).
    7. Kayaci, Nurullah, 2020. "Energy and exergy analysis and thermo-economic optimization of the ground source heat pump integrated with radiant wall panel and fan-coil unit with floor heating or radiator," Renewable Energy, Elsevier, vol. 160(C), pages 333-349.
    8. Yang, Shiyu & Wan, Man Pun & Chen, Wanyu & Ng, Bing Feng & Dubey, Swapnil, 2021. "Experiment study of machine-learning-based approximate model predictive control for energy-efficient building control," Applied Energy, Elsevier, vol. 288(C).
    9. Georgios D. Kontes & Georgios I. Giannakis & Víctor Sánchez & Pablo De Agustin-Camacho & Ander Romero-Amorrortu & Natalia Panagiotidou & Dimitrios V. Rovas & Simone Steiger & Christopher Mutschler & G, 2018. "Simulation-Based Evaluation and Optimization of Control Strategies in Buildings," Energies, MDPI, vol. 11(12), pages 1-23, December.
    10. Azar, Elie & Nikolopoulou, Christina & Papadopoulos, Sokratis, 2016. "Integrating and optimizing metrics of sustainable building performance using human-focused agent-based modeling," Applied Energy, Elsevier, vol. 183(C), pages 926-937.
    11. Xie, Yiwei & Hu, Pingfang & Zhu, Na & Lei, Fei & Xing, Lu & Xu, Linghong, 2020. "Collaborative optimization of ground source heat pump-radiant ceiling air conditioning system based on response surface method and NSGA-II," Renewable Energy, Elsevier, vol. 147(P1), pages 249-264.
    12. Jiang, Jiatong & Hu, Bin & Wang, R.Z. & Deng, Na & Cao, Feng & Wang, Chi-Chuan, 2022. "A review and perspective on industry high-temperature heat pumps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    13. Razmara, M. & Bidarvatan, M. & Shahbakhti, M. & Robinett, R.D., 2016. "Optimal exergy-based control of internal combustion engines," Applied Energy, Elsevier, vol. 183(C), pages 1389-1403.
    14. Palomba, Valeria & Dino, Giuseppe E. & Frazzica, Andrea, 2020. "Coupling sorption and compression chillers in hybrid cascade layout for efficient exploitation of renewables: Sizing, design and optimization," Renewable Energy, Elsevier, vol. 154(C), pages 11-28.
    15. Yang, Hongxing & Shi, Wenchao & Chen, Yi & Min, Yunran, 2021. "Research development of indirect evaporative cooling technology: An updated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    16. Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Napolitano, Davide Ferdinando, 2019. "Retrofit of villas on Mediterranean coastlines: Pareto optimization with a view to energy-efficiency and cost-effectiveness," Applied Energy, Elsevier, vol. 254(C).
    17. Jiang, Yuliang & Wang, Xinli & Zhao, Hongxia & Wang, Lei & Yin, Xiaohong & Jia, Lei, 2020. "Dynamic modeling and economic model predictive control of a liquid desiccant air conditioning," Applied Energy, Elsevier, vol. 259(C).
    18. Jian Sun & Yinwu Wang & Yu Qin & Guoshun Wang & Ran Liu & Yongping Yang, 2023. "A Review of Super-High-Temperature Heat Pumps over 100 °C," Energies, MDPI, vol. 16(12), pages 1-18, June.
    19. Beccali, Marco & Bonomolo, Marina & Martorana, Francesca & Catrini, Pietro & Buscemi, Alessandro, 2022. "Electrical hybrid heat pumps assisted by natural gas boilers: a review," Applied Energy, Elsevier, vol. 322(C).
    20. Du, Zhimin & Jin, Xinqiao & Fang, Xing & Fan, Bo, 2016. "A dual-benchmark based energy analysis method to evaluate control strategies for building HVAC systems," Applied Energy, Elsevier, vol. 183(C), pages 700-714.

    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:209:y:2020:i:c:s0360544220315723. 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.