IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v289y2024ics0360544223033169.html
   My bibliography  Save this article

Performance analysis of novel dew point evaporative cooler with shell and tube design through different air-water flow configurations

Author

Listed:
  • Sulaiman, Mohammed A.
  • Adham, Ahmed M.
  • Hasan, Hasan F.
  • Benim, Ali C.
  • Anjal, Hassan A.

Abstract

The complex design of a dew point evaporative cooler (DPEC) is the largest impediment to the globalization of such a high-performance system. Therefore, in this paper, we introduce a new design for the DPEC which eliminates the complexity barrier and significantly improves the system's performance. The new design consists of one shell and a bank of tubes. The single shell works as a working channel, while the tubes work as primary channels. A solid mathematical model has been developed which can predict the system's performance with high accuracy, as it was validated against three experimental studies. Throughout the analysis, the energy and thermal performances of the current model has been compared to the conventional DPEC with flat plate design for two air-water flow configurations, namely, parallel and counter air-water flow configurations. It was found that, under a wide range of operational and geometrical conditions, the new cooler consistently outperformed the flat plate type cooler by producing colder air by about 3.1 °C and improving energy efficiency by about 12.2 %. Meanwhile, the parallel air-water flow configuration produced much colder water than the counter configuration, accounting for 15.76 °C (140 %) colder.

Suggested Citation

  • Sulaiman, Mohammed A. & Adham, Ahmed M. & Hasan, Hasan F. & Benim, Ali C. & Anjal, Hassan A., 2024. "Performance analysis of novel dew point evaporative cooler with shell and tube design through different air-water flow configurations," Energy, Elsevier, vol. 289(C).
    • Handle: RePEc:eee:energy:v:289:y:2024:i:c:s0360544223033169
    DOI: 10.1016/j.energy.2023.129922
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223033169
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129922?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. Cui, Xin & Yang, Chuanjun & Yan, Weichao & Zhang, Lianying & Wan, Yangda & Chua, Kian Jon, 2023. "Experimental study on a moisture-conducting fiber-assisted tubular indirect evaporative cooler," Energy, Elsevier, vol. 278(PB).
    2. Xu, Peng & Ma, Xiaoli & Diallo, Thierno M.O. & Zhao, Xudong & Fancey, Kevin & Li, Deying & Chen, Hongbing, 2016. "Numerical investigation of the energy performance of a guideless irregular heat and mass exchanger with corrugated heat transfer surface for dew point cooling," Energy, Elsevier, vol. 109(C), pages 803-817.
    3. Li, Yunhua & Liu, Mingsheng & Lau, Josephine & Zhang, Bei, 2015. "A novel method to determine the motor efficiency under variable speed operations and partial load conditions," Applied Energy, Elsevier, vol. 144(C), pages 234-240.
    4. Shahzad, Muhammad Wakil & Lin, Jie & Xu, Ben Bin & Dala, Laurent & Chen, Qian & Burhan, Muhammad & Sultan, Muhammad & Worek, William & Ng, Kim Choon, 2021. "A spatiotemporal indirect evaporative cooler enabled by transiently interceding water mist," Energy, Elsevier, vol. 217(C).
    5. Xu, Peng & Ma, Xiaoli & Zhao, Xudong & Fancey, Kevin, 2017. "Experimental investigation of a super performance dew point air cooler," Applied Energy, Elsevier, vol. 203(C), pages 761-777.
    6. Shi, Wenchao & Yang, Hongxing & Ma, Xiaochen & Liu, Xiaohua, 2023. "Performance prediction and optimization of cross-flow indirect evaporative cooler by regression model based on response surface methodology," Energy, Elsevier, vol. 283(C).
    7. Akhlaghi, Yousef Golizadeh & Ma, Xiaoli & Zhao, Xudong & Shittu, Samson & Li, Junming, 2019. "A statistical model for dew point air cooler based on the multiple polynomial regression approach," Energy, Elsevier, vol. 181(C), pages 868-881.
    8. Liu, Yuting & Li, Jun Ming & Yang, Xu & Zhao, Xudong, 2019. "Two-dimensional numerical study of a heat and mass exchanger for a dew-point evaporative cooler," Energy, Elsevier, vol. 168(C), pages 975-988.
    9. Liu, Yuting & Yang, Xu & Li, Junming & Zhao, Xudong, 2018. "Energy savings of hybrid dew-point evaporative cooler and micro-channel separated heat pipe cooling systems for computer data centers," Energy, Elsevier, vol. 163(C), pages 629-640.
    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. Xiao, Xin & Liu, Jinjin, 2024. "A state-of-art review of dew point evaporative cooling technology and integrated applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    2. Cui, Yuanlong & Zhu, Jie & Zoras, Stamatis & Liu, Lin, 2021. "Review of the recent advances in dew point evaporative cooling technology: 3E (energy, economic and environmental) assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    3. Golizadeh Akhlaghi, Yousef & Aslansefat, Koorosh & Zhao, Xudong & Sadati, Saba & Badiei, Ali & Xiao, Xin & Shittu, Samson & Fan, Yi & Ma, Xiaoli, 2021. "Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050," Applied Energy, Elsevier, vol. 281(C).
    4. Ma, Xiaoli & Zhao, Xudong & Zhang, Yufeng & Liu, Kaixin & Yang, Hui & Li, Jing & Akhlaghi, Yousef Golizadeh & Liu, Haowen & Han, Zhonghe & Liu, Zhijian, 2022. "Combined Rankine Cycle and dew point cooler for energy efficient power generation of the power plants - A review and perspective study," Energy, Elsevier, vol. 238(PA).
    5. Ma, Xiaoli & Zeng, Cheng & Zhu, Zishang & Zhao, Xudong & Xiao, Xin & Akhlaghi, Yousef Golizadeh & Shittu, Samson, 2023. "Real life test of a novel super performance dew point cooling system in operational live data centre," Applied Energy, Elsevier, vol. 348(C).
    6. Shahzad, Muhammad Wakil & Lin, Jie & Xu, Ben Bin & Dala, Laurent & Chen, Qian & Burhan, Muhammad & Sultan, Muhammad & Worek, William & Ng, Kim Choon, 2021. "A spatiotemporal indirect evaporative cooler enabled by transiently interceding water mist," Energy, Elsevier, vol. 217(C).
    7. Zhu, Guangya & Wen, Tao & Wang, Qunwei & Xu, Xiaoyu, 2022. "A review of dew-point evaporative cooling: Recent advances and future development," Applied Energy, Elsevier, vol. 312(C).
    8. Tariq, Rasikh & Sheikh, Nadeem Ahmed & Livas-García, A. & Xamán, J. & Bassam, A. & Maisotsenko, Valeriy, 2021. "Projecting global water footprints diminution of a dew-point cooling system: Sustainability approach assisted with energetic and economic assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    9. Chu, Junjie & Xu, Wei & Huang, Xiang & Geng, Zhichao & Xuan, Jingwen, 2022. "Study on optimization of indirect-direct evaporative chiller for producing cold water in hot and dry areas," Renewable Energy, Elsevier, vol. 181(C), pages 898-913.
    10. Liu, Yuting & Yang, Xu & Li, Junming & Zhao, Xudong, 2018. "Energy savings of hybrid dew-point evaporative cooler and micro-channel separated heat pipe cooling systems for computer data centers," Energy, Elsevier, vol. 163(C), pages 629-640.
    11. Akhlaghi, Yousef Golizadeh & Ma, Xiaoli & Zhao, Xudong & Shittu, Samson & Li, Junming, 2019. "A statistical model for dew point air cooler based on the multiple polynomial regression approach," Energy, Elsevier, vol. 181(C), pages 868-881.
    12. Yin Bi & Yugang Wang & Xiaoli Ma & Xudong Zhao, 2017. "Investigation on the Energy Saving Potential of Using a Novel Dew Point Cooling System in Data Centres," Energies, MDPI, vol. 10(11), pages 1-21, October.
    13. 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).
    14. Lanbo Lai & Xiaolin Wang & Gholamreza Kefayati & Eric Hu, 2021. "Evaporative Cooling Integrated with Solid Desiccant Systems: A Review," Energies, MDPI, vol. 14(18), pages 1-23, September.
    15. Cui, Xin & Yang, Chuanjun & Yan, Weichao & Zhang, Lianying & Wan, Yangda & Chua, Kian Jon, 2023. "Experimental study on a moisture-conducting fiber-assisted tubular indirect evaporative cooler," Energy, Elsevier, vol. 278(PB).
    16. Yugang Wang & Xiang Huang & Li Li, 2018. "Comparative Study of the Cross-Flow Heat and Mass Exchangers for Indirect Evaporative Cooling Using Numerical Methods," Energies, MDPI, vol. 11(12), pages 1-14, December.
    17. Ji-Hyun Shin & Hyo-Jun Kim & Han-Gyeol Lee & Young-Hum Cho, 2023. "Variable Water Flow Control of Hybrid Geothermal Heat Pump System," Energies, MDPI, vol. 16(17), pages 1-18, August.
    18. Hafiz M. Asfahan & Uzair Sajjad & Muhammad Sultan & Imtiyaz Hussain & Khalid Hamid & Mubasher Ali & Chi-Chuan Wang & Redmond R. Shamshiri & Muhammad Usman Khan, 2021. "Artificial Intelligence for the Prediction of the Thermal Performance of Evaporative Cooling Systems," Energies, MDPI, vol. 14(13), pages 1-20, July.
    19. Ruan, Jiageng & Walker, Paul & Zhang, Nong, 2016. "A comparative study energy consumption and costs of battery electric vehicle transmissions," Applied Energy, Elsevier, vol. 165(C), pages 119-134.
    20. Oh, Seung Jin & Shahzad, Muhammad Wakil & Burhan, Muhammad & Chun, Wongee & Kian Jon, Chua & KumJa, M. & Ng, Kim Choon, 2019. "Approaches to energy efficiency in air conditioning: A comparative study on purge configurations for indirect evaporative cooling," Energy, Elsevier, vol. 168(C), pages 505-515.

    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:289:y:2024:i:c:s0360544223033169. 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.