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Unsteady-state analysis of a counter-flow dew point evaporative cooling system

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  • Lin, J.
  • Thu, K.
  • Bui, T.D.
  • Wang, R.Z.
  • Ng, K.C.
  • Kumja, M.
  • Chua, K.J.

Abstract

Understanding the dynamic behavior of the dew point evaporative cooler is crucial in achieving efficient cooling for real applications. This paper details the development of a transient model for a counter-flow dew point evaporative cooling system. The transient model approaching steady conditions agreed well with the steady state model. Additionally, it is able to accurately predict the experimental data within 4.3% discrepancy. The transient responses of the cooling system were investigated under different inlet air conditions. Temporal temperature and humidity profiles were analyzed for different transient and step responses. The key findings from this study include: (1) the response trend and settling time is markedly dependent on the inlet air temperature, humidity and velocity; (2) the settling time of the transient response ranges from 50 s to 300 s when the system operates under different inlet conditions; and (3) the average transient wet bulb effectiveness (1.00–1.06) of the system is observed to be higher than the steady state wet bulb effectiveness (1.01) for our range of study.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:113:y:2016:i:c:p:172-185
    DOI: 10.1016/j.energy.2016.07.036
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. 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.
    2. 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.
    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. 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).
    5. Lin, Jie & Bui, Duc Thuan & Wang, Ruzhu & Chua, Kian Jon, 2018. "On the exergy analysis of the counter-flow dew point evaporative cooler," Energy, Elsevier, vol. 165(PB), pages 958-971.
    6. Zhou, Yuanyuan & Zhang, Tao & Wang, Fang & Yu, Yanshun, 2018. "Performance analysis of a novel thermoelectric assisted indirect evaporative cooling system," Energy, Elsevier, vol. 162(C), pages 299-308.
    7. 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.
    8. Kabeel, A.E. & Khalil, A. & Elsayed, S.S. & Alatyar, A.M., 2018. "Theoretical investigation on energy storage characteristics of a solar liquid desiccant air conditioning system in Egypt," Energy, Elsevier, vol. 158(C), pages 164-180.
    9. 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.
    10. 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.

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