IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v181y2019icp868-881.html
   My bibliography  Save this article

A statistical model for dew point air cooler based on the multiple polynomial regression approach

Author

Listed:
  • Akhlaghi, Yousef Golizadeh
  • Ma, Xiaoli
  • Zhao, Xudong
  • Shittu, Samson
  • Li, Junming

Abstract

Swift assessment of evaporative cooling systems has become a necessity in practical engineering applications of this advanced technology. This paper bypasses details of the performance process and pioneers in developing a statistical model based on the multiple polynomial regression (MPR) to predict the performance of a dew point cooling (DPC) system. Thousands of numerical and experimental data are explored and the statistical model is produced. The developed statistical model correlates the performance parameters with the key operational parameters, including the flow and geometric characteristics. The selected operational parameters are, intake air conditions, including temperature, relative humidity and flow rate as well as the working air fraction over the intake air, while cooling capacity, coefficient of performance (COP), pressure drop, dew point and wet-bulb effectiveness are selected as performance parameters. The considered geometric characteristics are channel height, channel interval and number of layers in heat and mass exchanger. The model with different polynomial degrees is assessed by R2, MRE and MSE metrics. The 8th degree polynomial model is selected. The maximum relative error of the cooling capacity, coefficient of performance, pressure drop, dew point and wet-bulb effectiveness are 6.1%, 7.54%, 0.07%, 3.54% and 2.53% respectively. Finally, as examples, the model is used to predict the performance of the DPC system in random operating conditions and in a dry climate i.e. Las Vegas. Model developed in this study would enable the swift prediction of the DPC system.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:181:y:2019:i:c:p:868-881
    DOI: 10.1016/j.energy.2019.05.213
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219311016
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.05.213?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. 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.
    2. Duan, Zhiyin & Zhan, Changhong & Zhang, Xingxing & Mustafa, Mahmud & Zhao, Xudong & Alimohammadisagvand, Behrang & Hasan, Ala, 2012. "Indirect evaporative cooling: Past, present and future potentials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6823-6850.
    3. 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.
    4. Zhan, Changhong & Duan, Zhiyin & Zhao, Xudong & Smith, Stefan & Jin, Hong & Riffat, Saffa, 2011. "Comparative study of the performance of the M-cycle counter-flow and cross-flow heat exchangers for indirect evaporative cooling – Paving the path toward sustainable cooling of buildings," Energy, Elsevier, vol. 36(12), pages 6790-6805.
    5. Cui, X. & Chua, K.J. & Yang, W.M., 2014. "Numerical simulation of a novel energy-efficient dew-point evaporative air cooler," Applied Energy, Elsevier, vol. 136(C), pages 979-988.
    6. Lin, J. & Thu, K. & Bui, T.D. & Wang, R.Z. & Ng, K.C. & Kumja, M. & Chua, K.J., 2016. "Unsteady-state analysis of a counter-flow dew point evaporative cooling system," Energy, Elsevier, vol. 113(C), pages 172-185.
    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. 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).
    2. 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.
    3. 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).
    4. 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).
    5. 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).
    6. Ma, Liuyang & Zhao, Qin & Zhang, Houcheng & Hou, Shujin & Zhao, Jiapei & Wang, Fu & Zhang, Chunfei & Miao, He & Yuan, Jinliang, 2022. "Performance analysis of a concentrated photovoltaic cell-elastocaloric cooler hybrid system for power and cooling cogeneration," Energy, Elsevier, vol. 239(PD).

    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. 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.
    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. Lin, Jie & Bui, Duc Thuan & Wang, Ruzhu & Chua, Kian Jon, 2018. "On the fundamental heat and mass transfer analysis of the counter-flow dew point evaporative cooler," Applied Energy, Elsevier, vol. 217(C), pages 126-142.
    4. 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).
    5. 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).
    6. 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.
    7. Pandelidis, Demis & Anisimov, Sergey & Rajski, Krzysztof & Brychcy, Ewa & Sidorczyk, Marek, 2017. "Performance comparison of the advanced indirect evaporative air coolers," Energy, Elsevier, vol. 135(C), pages 138-152.
    8. Duan, Zhiyin & Zhao, Xudong & Li, Junming, 2017. "Design, fabrication and performance evaluation of a compact regenerative evaporative cooler: Towards low energy cooling for buildings," Energy, Elsevier, vol. 140(P1), pages 506-519.
    9. 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.
    10. Cui, X. & Islam, M.R. & Mohan, B. & Chua, K.J., 2016. "Theoretical analysis of a liquid desiccant based indirect evaporative cooling system," Energy, Elsevier, vol. 95(C), pages 303-312.
    11. Ham, Sang-Woo & Jeong, Jae-Weon, 2016. "DPHX (dew point evaporative heat exchanger): System design and performance analysis," Energy, Elsevier, vol. 101(C), pages 132-145.
    12. Mahmood, Muhammad H. & Sultan, Muhammad & Miyazaki, Takahiko & Koyama, Shigeru & Maisotsenko, Valeriy S., 2016. "Overview of the Maisotsenko cycle – A way towards dew point evaporative cooling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 537-555.
    13. Pandelidis, Demis & Cichoń, Aleksandra & Pacak, Anna & Anisimov, Sergey & Drąg, Paweł, 2018. "Counter-flow indirect evaporative cooler for heat recovery in the temperate climate," Energy, Elsevier, vol. 165(PA), pages 877-894.
    14. 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.
    15. 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).
    16. Sadighi Dizaji, Hamed & Hu, Eric Jing & Chen, Lei & Pourhedayat, Samira, 2018. "Development and validation of an analytical model for perforated (multi-stage) regenerative M-cycle air cooler," Applied Energy, Elsevier, vol. 228(C), pages 2176-2194.
    17. Wang, Lei & Zhan, Changhong & Zhang, Jianli & Zhao, Xudong, 2019. "Optimization of the counter-flow heat and mass exchanger for M-Cycle indirect evaporative cooling assisted with entropy analysis," Energy, Elsevier, vol. 171(C), pages 1206-1216.
    18. Chen, Yi & Yan, Huaxia & Yang, Hongxing, 2018. "Comparative study of on-off control and novel high-low control of regenerative indirect evaporative cooler (RIEC)," Applied Energy, Elsevier, vol. 225(C), pages 233-243.
    19. 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).
    20. Tariq, Rasikh & Sheikh, Nadeem Ahmed & Xamán, J. & Bassam, A., 2018. "An innovative air saturator for humidification-dehumidification desalination application," Applied Energy, Elsevier, vol. 228(C), pages 789-807.

    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:181:y:2019:i:c:p:868-881. 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.