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.
. Analysis of energy saving optimization of campus buildings based on energy simulation[J]. Frontiers in Energy, 2013, 7(3): 388-398.
Dingding TONG, Jing ZHAO. Analysis of energy saving optimization of campus buildings based on energy simulation. Front Energ, 2013, 7(3): 388-398.
Setting temperature of the residential building/°C
Time
Setting temperature of the public building/°C
The winter vacation for the heating season(From January 15 to February 20)
00:00 - 24:00
15
00:00 - 24:00
5
Other days during the heating season
08:00 - 12:00
15
00:00 - 03:00
5
14:00 - 18:00
15
03:00 - 04:00
8.5
04:00 - 05:00
11.5
05:00 - 06:00
14.5
06:00 - 07:00
16.5
07:00 - 08:00
17.5
22:00 - 24:00
5
Other days
18
Other days
18
The summer vacation for the cooling season(From July 1 to August 20)
00:00 - 24:00
28
00:00 - 24:00
30
Other days during the cooling season
00:00 - 08:00
25
00:00 - 08:00
30
22:00 - 24:00
25
22:00 - 24:00
30
Others
28
Others
25
Tab.5
Fig.5
Fig.6
Fig.7
Fig.8
Fig.9
Fig.10
Items
Mode-C
Mode-S
Residential building
Public building
Residential building
Public building
Heating load index/(W·m-2)
37.08
42.14
37.85
45.09
Cooling load index/(W·m-2)
60.17
81.85
54.71
75.52
Heating energy consumption/MJ
486858
9434740
426339
5362360
Cooling energy consumption/MJ
305594
6174211
166540
3440570
Tab.6
Items
Cooling load/W
Heating load/W
Cooling load of building group/W
Heating load of building group/W
Residential buildings
0
9653707
16213330
31368771
Public buildings
16213330
22341226
Tab.7
Fig.11
Item
Traditional
Optimization method
Heating load/W
32090708
31368771
Cooling load/W
17721338
16213330
Tab.8
Fig.12
Fig.13
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