IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i19p7327-d934151.html
   My bibliography  Save this article

Energy Saving Evaluation with Low Liquid to Gas Ratio Operation in HVAC&R System

Author

Listed:
  • Ju-wan Ha

    (School of Architecture, College of Design, North Carolina State University, Raleigh, NC 27695, USA)

  • Yu-jin Kim

    (Department of Architectural Engineering, Graduate School, Gyeongsang National University, Jinju 52828, Korea)

  • Kyung-soon Park

    (Architectural Engineering Major, Division of Urban, Architecture and Civil Engineering, Dong-Eui University, Busan 47340, Korea)

  • Young-hak Song

    (Department of Architectural Engineering, ERI, Gyeongsang National University, Jinju 52828, Korea)

Abstract

Previous studies have been conducted by employing various methods to reduce the condenser water temperature, a crucial control variable to consider when attempting to improve the operational efficiency of a chiller. The existing literature dealing with the effects of low-condenser water temperatures is limited, as the cooling water flow rate is often considered the operating variable of the condenser loop. However, to produce additional low condenser water temperatures, the approach temperature of the cooling tower in the system must be reduced. To reduce the approach temperature, it is necessary to review the physical behavior and efficiency of the cooling tower according to the change in the liquid to gas ratio (LGR), which is dependent upon the condenser water flow rate and the cooling tower fan air flow rate within the condenser loop. However, this process has rarely been reviewed in previous studies. Therefore, this study developed a new cooling tower control algorithm from the LGR perspective, and the operational effectiveness was quantitatively reviewed using EnergyPlus. Compared to the conventional conditions, when the cooling tower operation algorithm for low-approach temperatures was applied, the annual energy saving was 27.0%, the average chiller COP was improved by 27.8%, and the average system COP was improved by 47.4%. Furthermore, even when the algorithm was not applied at the same condenser water set temperature, the annual energy saving was 15%. The average COP of the chiller and COP of the system is improved by 2% and 23.2%, respectively. These results indicated that when a cooling tower is operated with a low LGR, even under the same outdoor air and load conditions, the cooling system’s efficiency can be improved with a change in the control algorithm without installing additional high-efficiency equipment.

Suggested Citation

  • Ju-wan Ha & Yu-jin Kim & Kyung-soon Park & Young-hak Song, 2022. "Energy Saving Evaluation with Low Liquid to Gas Ratio Operation in HVAC&R System," Energies, MDPI, vol. 15(19), pages 1-29, October.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7327-:d:934151
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/19/7327/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/19/7327/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tirmizi, Syed A. & Gandhidasan, P. & Zubair, Syed M., 2012. "Performance analysis of a chilled water system with various pumping schemes," Applied Energy, Elsevier, vol. 100(C), pages 238-248.
    2. Thangavelu, Sundar Raj & Myat, Aung & Khambadkone, Ashwin, 2017. "Energy optimization methodology of multi-chiller plant in commercial buildings," Energy, Elsevier, vol. 123(C), pages 64-76.
    3. Chang, Chun-Cheng & Shieh, Shyan-Shu & Jang, Shi-Shang & Wu, Chan-Wei & Tsou, Ying, 2015. "Energy conservation improvement and ON–OFF switch times reduction for an existing VFD-fan-based cooling tower," Applied Energy, Elsevier, vol. 154(C), pages 491-499.
    4. Eli A. Goldstein & Aaswath P. Raman & Shanhui Fan, 2017. "Sub-ambient non-evaporative fluid cooling with the sky," Nature Energy, Nature, vol. 2(9), pages 1-7, September.
    5. Gao, Dian-ce & Wang, Shengwei & Shan, Kui & Yan, Chengchu, 2016. "A system-level fault detection and diagnosis method for low delta-T syndrome in the complex HVAC systems," Applied Energy, Elsevier, vol. 164(C), pages 1028-1038.
    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. Fan, Cheng & Sun, Yongjun & Zhao, Yang & Song, Mengjie & Wang, Jiayuan, 2019. "Deep learning-based feature engineering methods for improved building energy prediction," Applied Energy, Elsevier, vol. 240(C), pages 35-45.
    2. Huang, Sen & Zuo, Wangda & Sohn, Michael D., 2016. "Amelioration of the cooling load based chiller sequencing control," Applied Energy, Elsevier, vol. 168(C), pages 204-215.
    3. Olszewski, Pawel, 2022. "Experimental analysis of ON/OFF and variable speed drive controlled industrial chiller towards energy efficient operation," Applied Energy, Elsevier, vol. 309(C).
    4. Fan, Cheng & Wang, Jiayuan & Gang, Wenjie & Li, Shenghan, 2019. "Assessment of deep recurrent neural network-based strategies for short-term building energy predictions," Applied Energy, Elsevier, vol. 236(C), pages 700-710.
    5. Fan, Cheng & Xiao, Fu & Song, Mengjie & Wang, Jiayuan, 2019. "A graph mining-based methodology for discovering and visualizing high-level knowledge for building energy management," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    6. Zhang, Ji & Yuan, Jianjuan & Liu, Junwei & Zhou, Zhihua & Sui, Jiyuan & Xing, Jincheng & Zuo, Jian, 2021. "Cover shields for sub-ambient radiative cooling: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    7. Xiaoqing Wei & Nianping Li & Jinqing Peng & Jianlin Cheng & Jinhua Hu & Meng Wang, 2017. "Modeling and Optimization of a CoolingTower-Assisted Heat Pump System," Energies, MDPI, vol. 10(5), pages 1-18, May.
    8. Du Plessis, Gideon Edgar & Liebenberg, Leon & Mathews, Edward Henry, 2013. "The use of variable speed drives for cost-effective energy savings in South African mine cooling systems," Applied Energy, Elsevier, vol. 111(C), pages 16-27.
    9. Kim, Icksung & Kim, Woohyun, 2023. "Application of market-based control with thermal energy storage system for demand limiting and real-time pricing control," Energy, Elsevier, vol. 263(PA).
    10. Liu, Junwei & Zhang, Ji & Zhang, Debao & Jiao, Shifei & Xing, Jincheng & Tang, Huajie & Zhang, Ying & Li, Shuai & Zhou, Zhihua & Zuo, Jian, 2020. "Sub-ambient radiative cooling with wind cover," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    11. Zhuang, Chaoqun & Wang, Shengwei & Shan, Kui, 2020. "A risk-based robust optimal chiller sequencing control strategy for energy-efficient operation considering measurement uncertainties," Applied Energy, Elsevier, vol. 280(C).
    12. Alexandr Tsoy & Alexandr Granovskiy & Dmitriy Koretskiy & Diana Tsoy-Davis & Nikita Veselskiy & Mikhail Alechshenko & Alexandr Minayev & Inara Kim & Rita Jamasheva, 2023. "Experimental Study of the Heat Flow and Energy Consumption during Liquid Cooling Due to Radiative Heat Transfer in Winter," Energies, MDPI, vol. 16(13), pages 1-18, June.
    13. Wenpu Wang & Wei Shao & Shuo Wang & Junling Liu & Kun Shao & Zhuoqun Cao & Yu Liu & Zheng Cui, 2023. "Operation Optimization of Thermal Management System of Deep Metal Mine Based on Heat Current Method and Prediction Model," Energies, MDPI, vol. 16(18), pages 1-21, September.
    14. Li, Xiaoxiao & Gurgenci, Hal & Guan, Zhiqiang & Wang, Xurong & Duniam, Sam, 2017. "Measurements of crosswind influence on a natural draft dry cooling tower for a solar thermal power plant," Applied Energy, Elsevier, vol. 206(C), pages 1169-1183.
    15. Ananthakrishnan, K. & Bijarniya, Jay Prakash & Sarkar, Jahar, 2021. "Energy, exergy, economic and ecological analyses of a diurnal radiative water cooler," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    16. Qinli Deng & Liangxin Xu & Tingfang Zhao & Xuexin Hong & Xiaofang Shan & Zhigang Ren, 2022. "Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSO," Energies, MDPI, vol. 15(19), pages 1-19, September.
    17. Gopalakrishna Gangisetty & Ron Zevenhoven, 2023. "A Review of Nanoparticle Material Coatings in Passive Radiative Cooling Systems Including Skylights," Energies, MDPI, vol. 16(4), pages 1-59, February.
    18. Gao, Dian-ce & Wang, Shengwei & Shan, Kui, 2016. "In-situ implementation and evaluation of an online robust pump speed control strategy for avoiding low delta-T syndrome in complex chilled water systems of high-rise buildings," Applied Energy, Elsevier, vol. 171(C), pages 541-554.
    19. Tang, Rui & Wang, Shengwei & Shan, Kui & Cheung, Howard, 2018. "Optimal control strategy of central air-conditioning systems of buildings at morning start period for enhanced energy efficiency and peak demand limiting," Energy, Elsevier, vol. 151(C), pages 771-781.
    20. Zhang, Kai & Zhao, Dongliang & Yin, Xiaobo & Yang, Ronggui & Tan, Gang, 2018. "Energy saving and economic analysis of a new hybrid radiative cooling system for single-family houses in the USA," Applied Energy, Elsevier, vol. 224(C), pages 371-381.

    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:jeners:v:15:y:2022:i:19:p:7327-:d:934151. 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.