The Field Survey on Local Heat Island Effect of Precision Air-Conditioning

  • Mo Chen
  • Zhixian Ma
  • Mingsheng LiuEmail author
Conference paper
Part of the Environmental Science and Engineering book series (ESE)


The local heat island effect (LHIE) plays an important role in the energy consumption of precision air-conditioning system, the data center cooling system. This paper conducted a field survey on the LHIE caused by precision air-conditioning system and its effect on the energy efficiency of the cooling system. The inlet and outlet air temperature and air velocity of the air cooled condenser (outdoor component of precision air conditioner), and also the environment temperature, are measured and applied in the analysis. The results show that the average inlet air temperature of outdoor units of the precision air-conditioning is 8 °C warmer than the environment air temperature, and the inlet airspeed is slow. The existence of the LHIE will be resulting 24% more energy consumption of the tested precision air-conditioning system. This paper verified the existence of LHIE and offers a reference for further study of it.


Precision air-conditioning Local heat island effect Energy consumption 



The authors acknowledge the support from the Bes. Tech, Inc for the field survey of this study.

Permissions Appropriate permissions from responsible authorities were obtained for this study in the field survey on the Data Center.


  1. 1.
    Zhang, L.F., et al.: Research on influence of cold channel closure on airflow distribution and energy efficiency in the data center computer room. Electr. Power Inf. Commun. Technol. 16(5), 63–67 (2018)Google Scholar
  2. 2.
    Liu, C., et al.: Analysis and protection strategy of power data center security based on cloud computing and SDN technology. Electron. Des. Eng. 24(9), 136–138, 143 (2016)Google Scholar
  3. 3.
    Wang, Q., et al.: Discussion on the feasibility for distributed energy in internet data center. Power Syst. Clean Energy 29(9), 87–91 (2013)Google Scholar
  4. 4.
    Wang, X.Y.: Discussion on cloud computing data center construction. Comput. Eng. Softw. 35(2), 129–130 (2014)Google Scholar
  5. 5.
    Zhou, D., et al.: Numerical simulation of thermal environment for outdoor units at building re-entrant. J. Guangzhou Univ. (Nat. Sci. Ed.) 9(6), 17–22 (2010)Google Scholar
  6. 6.
    You, B., et al.: The analysis and optimization on heat dissipation of outdoor unit of air conditioner. J. Shunde Polytech. 7(4), 35–38 (2009)Google Scholar
  7. 7.
    Xue, H., et al.: Prediction of temperature rise near condensing units in the confined space of a high-rise building. Build. Environ. 42(7), 2480–2487 (2007)CrossRefGoogle Scholar
  8. 8.
    Gong, G.C., et al.: The influence of condensation heat emission on environment of outdoor air conditioner. In: 2006 National Academic Annual Conference on HVAC Refrigeration 809 (2007)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Institute of Building Energy, Dalian University of TechnologyDalianChina

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