IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i5p1111-d1346369.html
   My bibliography  Save this article

Air Equalizing Mechanism in Cooling Performance Improvement of Vertical Delta-Type Radiators

Author

Listed:
  • Tiefeng Chen

    (CHN Energy Pingluo Power Co., Ltd., Shizuishan 753000, China)

  • Qian Zhao

    (School of Energy and Power Engineering, Shandong University, Jing-Shi Road 17932#, Jinan 250061, China)

  • Yaoming Zhang

    (CHN Energy Pingluo Power Co., Ltd., Shizuishan 753000, China)

  • Chengjun Wang

    (CHN Energy Pingluo Power Co., Ltd., Shizuishan 753000, China)

  • Kaiming Li

    (CHN Energy Pingluo Power Co., Ltd., Shizuishan 753000, China)

  • Shixing Li

    (CHN Energy Pingluo Power Co., Ltd., Shizuishan 753000, China)

  • Longtao Quan

    (CHN Energy Pingluo Power Co., Ltd., Shizuishan 753000, China)

  • Yuanbin Zhao

    (School of Energy and Power Engineering, Shandong University, Jing-Shi Road 17932#, Jinan 250061, China)

Abstract

Based on the design and measured data of one actual tower, a three-dimensional numerical model for a natural draft dry cooling tower (NDDCT) was created and validated under constant heat load. This enabled the performance improvement mechanism of air equalizing on vertical delta-type radiators (VDRs) to be clarified by detailed analysis of key parameters, such as the exit water temperature, heat transfer coefficient, and mass airflow. Under the impact of typical ambient crosswind, all VDRs were retrofitted with air-side-equalizing devices. It was found that the exit water temperatures of the whole NDDCT decreased by 0.865 °C, 0.593 °C and 0.186 °C under the studied ambient crosswind speeds of 2.5 m/s, 4 m/s and 12 m/s, respectively. The performance improvement mechanism of air-side equalizing was investigated for three VDRs, which were located on the upwind, tower lateral, and downwind sides under crosswind impacts. Besides the studied VDRs, the performance of the neighboring VDRs behind them was also improved by the optimized aerodynamic field and the reduced hot wind recirculation around them. In addition, the average heat transfer coefficients of the VDRs were enhanced, which could lay the foundation for improving the cooling performance of thermodynamic devices with VDRs.

Suggested Citation

  • Tiefeng Chen & Qian Zhao & Yaoming Zhang & Chengjun Wang & Kaiming Li & Shixing Li & Longtao Quan & Yuanbin Zhao, 2024. "Air Equalizing Mechanism in Cooling Performance Improvement of Vertical Delta-Type Radiators," Energies, MDPI, vol. 17(5), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1111-:d:1346369
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/5/1111/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/5/1111/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Weiliang & Zhang, Hai & Liu, Pei & Li, Zheng & Lv, Junfu & Ni, Weidou, 2017. "The cooling performance of a natural draft dry cooling tower under crosswind and an enclosure approach to cooling efficiency enhancement," Applied Energy, Elsevier, vol. 186(P3), pages 336-346.
    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. Huiqian Guo & Yue Yang & Tongrui Cheng & Hanyu Zhou & Weijia Wang & Xiaoze Du, 2021. "Tower Configuration Impacts on the Thermal and Flow Performance of Steel-Truss Natural Draft Dry Cooling System," Energies, MDPI, vol. 14(7), pages 1-17, April.
    2. Lu, Yuanshen & Klimenko, Alexander & Russell, Hugh & Dai, Yuchen & Warner, John & Hooman, Kamel, 2018. "A conceptual study on air jet-induced swirling plume for performance improvement of natural draft cooling towers," Applied Energy, Elsevier, vol. 217(C), pages 496-508.
    3. Kong, Yanqiang & Wang, Weijia & Yang, Lijun & Du, Xiaoze, 2020. "Energy efficient strategies for anti-freezing of air-cooled heat exchanger," Applied Energy, Elsevier, vol. 261(C).
    4. 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.
    5. Sun, Yubiao & Guan, Zhiqiang & Gurgenci, Hal & Wang, Jianyong & Dong, Peixin & Hooman, Kamel, 2019. "Spray cooling system design and optimization for cooling performance enhancement of natural draft dry cooling tower in concentrated solar power plants," Energy, Elsevier, vol. 168(C), pages 273-284.
    6. Liu, Hua & Wu, Zhiyong & Zhang, Bingjian & Chen, Qinglin & Pan, Ming & Ren, Jingzheng & He, Chang, 2023. "A large-scale stochastic simulation-based thermodynamic optimization for the hybrid closed circuit cooling tower system with parallel computing," Energy, Elsevier, vol. 283(C).
    7. Weijia Wang & Lei Chen & Xianwei Huang & Lijun Yang & Xiaoze Du, 2017. "Performance Recovery of Natural Draft Dry Cooling Systems by Combined Air Leading Strategies," Energies, MDPI, vol. 10(12), pages 1-18, December.
    8. Zhao Li & Huimin Wei & Tao Wu & Xiaoze Du, 2021. "Optimization for Circulating Cooling Water Distribution of Indirect Dry Cooling System in a Thermal Power Plant under Crosswind Condition with Evolution Strategies Algorithm," Energies, MDPI, vol. 14(4), pages 1-17, February.
    9. Suárez de la Fuente, Santiago & Larsen, Ulrik & Pawling, Rachel & García Kerdan, Iván & Greig, Alistair & Bucknall, Richard, 2018. "Using the forward movement of a container ship navigating in the Arctic to air-cool a marine organic Rankine cycle unit," Energy, Elsevier, vol. 159(C), pages 1046-1059.
    10. Wu, Tao & Ge, Zhihua & Yang, Lijun & Du, Xiaoze, 2019. "Transient behavior of the cold end system in an indirect dry cooling thermal power plant under varying operating conditions," Energy, Elsevier, vol. 181(C), pages 1202-1212.
    11. Sha Liu & Jiong Shen, 2022. "Modeling of Large-Scale Thermal Power Plants for Performance Prediction in Deep Peak Shaving," Energies, MDPI, vol. 15(9), pages 1-18, April.
    12. Mohan Liu & Lei Chen & Kaijun Jiang & Xiaohui Zhou & Zongyang Zhang & Hanyu Zhou & Weijia Wang & Lijun Yang & Yuguang Niu, 2021. "Investigation of Thermo-Flow Characteristics of Natural Draft Dry Cooling Systems Designed with Only One Tower in 2 × 660 MW Power Plants," Energies, MDPI, vol. 14(5), pages 1-18, February.
    13. Wu, Tao & Ge, Zhihua & Yang, Lijun & Du, Xiaoze, 2019. "Modeling the performance of the indirect dry cooling system in a thermal power generating unit under variable ambient conditions," Energy, Elsevier, vol. 169(C), pages 625-636.

    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:17:y:2024:i:5:p:1111-:d:1346369. 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.