RESEARCH ARTICLE

Analysis of energy saving optimization of campus buildings based on energy simulation

  • Dingding TONG ,
  • Jing ZHAO
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  • School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China

Received date: 19 Feb 2013

Accepted date: 29 Apr 2013

Published date: 05 Sep 2013

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

The energy consumption of campus buildings has specific characteristics, because of the concentrated distribution of people’s working time and locations that change in line with distinct seasonal features. The traditional energy system design and operation for campus buildings is only based on the constant room temperature, such as 25°C in summer and 18°C in winter in China, not taking into consideration the real heating or cooling load characteristics of campus buildings with different functions during the whole day and whole year, which usually results in a lot of energy waste. This paper proposes to set different set-point temperatures in different operation stages of public and residential campus buildings to reduce the heating and cooling design load for energy station and total campus energy consumption for annual operation. Taking a campus under construction in Tianjin, China as an example, two kinds of single building models were established as the typical public building and residential building models on the campus. Besides, the models were simulated at both set-point room temperature and constant room temperature respectively. The comparison of the simulation results showed that the single building energy saving method of the peak load clipping could be used for further analysis of the annual energy consumption of campus building groups. The results proved that the strategy of set-point temperature optimization could efficiently reduce the design load and energy consumption of campus building groups.

Cite this article

Dingding TONG , Jing ZHAO . Analysis of energy saving optimization of campus buildings based on energy simulation[J]. Frontiers in Energy, 2013 , 7(3) : 388 -398 . DOI: 10.1007/s11708-013-0273-7

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