Non-Intrusive Techniques for Establishing Occupancy Related Energy Savings in Commercial Buildings

被引:39
作者
Ardakanian, Omid [1 ]
Bhattacharya, Arka [1 ]
Culler, David [1 ]
机构
[1] Univ Calif Berkeley, Berkeley, CA 94720 USA
来源
BUILDSYS'16: PROCEEDINGS OF THE 3RD ACM CONFERENCE ON SYSTEMS FOR ENERGY-EFFCIENT BUILT ENVIRONMENTS | 2016年
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
HVAC Optimization; Occupancy Monitoring; Building Analytics;
D O I
10.1145/2993422.2993574
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The design of energy-efficient commercial building Heating Ventilation and Air Conditioning (HVAC) systems has been in the forefront of energy conservation efforts over the past few decades. The HVAC systems traditionally run on a static schedule that does not take occupancy into account, wasting a lot of energy in conditioning empty or partially-occupied spaces. This paper investigates the application of non-intrusive techniques to obtain a rough estimate of occupancy from coarse-grained measurements of the sensors that are commonly available through the building management system. Various per-zone schedules can be developed based on this approximate knowledge of occupancy at the level of individual zones. Our experiments in three large commercial buildings confirm that the proposed techniques can uncover the occupancy pattern of the zones, and schedules that incorporate these occupancy patterns can achieve more than 38% reduction in reheat energy consumption while maintaining indoor thermal comfort.
引用
收藏
页码:21 / 30
页数:10
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