Energy savings from temperature setpoints and deadband: Quantifying the influence of building and system properties on savings

被引:154
作者
Ghahramani, Ali [1 ]
Zhang, Kenan [1 ]
Dutta, Kanu [1 ]
Yang, Zheng [1 ]
Becerik-Gerber, Burcin [2 ]
机构
[1] Univ So Calif, Viterbi Sch Engn, Sonny Astani Dept Civil & Environm Engn, KAP 217,3620 South Vermont Ave, Los Angeles, CA 90089 USA
[2] Univ So Calif, Viterbi Sch Engn, Sonny Astani Dept Civil & Environm Engn, KAP 224C,3620 South Vermont Ave, Los Angeles, CA 90089 USA
基金
美国国家科学基金会;
关键词
HVAC system; Energy consumption; Setpoint; Deadband; Climate impact; Energy savings; THERMAL COMFORT; PERFORMANCE;
D O I
10.1016/j.apenergy.2015.12.115
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper provides a systematic approach for quantifying the influence of building size, construction category, climate, occupancy schedule, setpoint, and deadband on HVAC energy consumption in office buildings. Simulating the DOE reference office buildings of three sizes and three construction categories in all United States climate zones, using the EnergyPlus, we conducted several N-way ANOVA analyses to study the interrelationships between setpoints, deadbands and several building related and environment related factors. In summary, daily optimal deadband selection of 0, 1, 2, 4, 5, and 6 K would result in an average energy savings of-70.0%, -34.9%, -13.7%, 9.6%, 16.4%, and 21.2%, respectively, compared to baseline deadline of 3 K. Selecting the daily optimal setpoint in the range of 22.5 +/- 1 degrees C, 22.5 +/- 2 degrees C, and 22.5 +/- 3 degrees C would result in an average savings of 7.5%, 12.7%, and 16.4%, respectively, compared to the baseline setpoint of 22.5 degrees C. Additionally, we found that when the outdoor temperature is within -20 to 30 degrees C, the optimal setpoint depends on the building size. We also observed a range of outdoor temperatures (e.g., 9-14 degrees C for small buildings and 8-11 degrees C for medium buildings) where the setpoint selection would only slightly influence the energy consumption. However, the choice of setpoints becomes very influential (up to 30% of energy savings) where the outdoor temperatures are slightly outside the mentioned ranges on either direction. The potential savings from selecting daily optimal set points in the range of 22.5 +/- 3 degrees C in different climates and for small, medium and large office buildings, would lead to 10.09-37.03%, 11.43-21.01%, and 6.78-11.34% savings, respectively, depending on the climate. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:930 / 942
页数:13
相关论文
共 39 条
[1]  
[Anonymous], 2011, US DEP ENERGY COMMER
[2]  
[Anonymous], 2011, BOOK BED
[3]  
[Anonymous], 2010, 6212010 AM SOC HEAT
[4]  
[Anonymous], 2012, ENERGY SAVINGS MODEL
[5]  
[Anonymous], 2010, BOOK BED
[6]  
Energy Information Administration, 2015, 2012 COMM BUILD EN C
[7]   Predictive controllers for thermal comfort optimization and energy savings [J].
Freire, Roberto Z. ;
Oliveira, Gustavo H. C. ;
Mendes, Nathan .
ENERGY AND BUILDINGS, 2008, 40 (07) :1353-1365
[8]  
Garg V, 2010, ES2010: PROCEEDINGS OF ASME 4TH INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, VOL 2, P1041
[9]  
Ghahramani A, 2015, QUANTIFYING INFLUENC
[10]  
Ghahramani A, ANONYMOUS SUSTAINABL, P99