The Impact of Occupancy Resolution on the Accuracy of Building Energy Performance Simulation

被引:11
作者
Sangogboye, Fisayo Caleb [1 ]
Arendt, Krzysztof [1 ]
Jradi, Muhyiddine [1 ]
Veje, Christian [1 ]
Kjaergaard, Mikkel Baun [1 ]
Jorgensen, Bo Norregaard [1 ]
机构
[1] Univ Southern Denmark, Odense M, Denmark
来源
BUILDSYS'18: PROCEEDINGS OF THE 5TH CONFERENCE ON SYSTEMS FOR BUILT ENVIRONMENTS | 2018年
关键词
Occupancy; Building Performance Simulation; Energy Optimization;
D O I
10.1145/3276774.3276784
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Using Building Performance Simulation (BPS) is nowadays a standard practice in building design, building operation and energy management, model predictive control, fault detection and diagnosis applications. One of the major factors affecting the energy performance of buildings is occupancy. In this study, we analyze the impact of different resolutions of occupancy count profiles on BPS accuracy. These occupancy count profiles are obtained from a large educational building. These profiles includes: (1) whole-building occupancy distributed evenly across building zones, (2) detailed zone-level occupancy estimated from stereo-vision cameras and WiFi sensors. Simulations were carried out using a detailed white-box model implemented in EnergyPlus and validated against ground truth data. A comparison of the ground truth data with obtained simulation results indicate that the increased resolution of occupancy data does not necessarily improve the overall building energy consumption accuracy, but improves only occupancy-related results, e.g. ventilation energy consumption.
引用
收藏
页码:103 / 106
页数:4
相关论文
共 13 条
[1]  
[Anonymous], 2010, Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, SenSys '10
[2]  
[Anonymous], 2006, Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'06, (New York, NY, USA)
[3]   Statistical analysis and modeling of occupancy patterns in open-plan offices using measured lighting-switch data [J].
Chang, Wen-Kuei ;
Hong, Tianzhen .
BUILDING SIMULATION, 2013, 6 (01) :23-32
[4]   Building occupancy estimation and detection: A review [J].
Chen, Zhenghua ;
Jiang, Chaoyang ;
Xie, Lihua .
ENERGY AND BUILDINGS, 2018, 169 :260-270
[5]   Simulation of occupancy in buildings [J].
Feng, Xiaohang ;
Yan, Da ;
Hong, Tianzhen .
ENERGY AND BUILDINGS, 2015, 87 :348-359
[6]   A World Class Energy Efficient University Building by Danish 2020 Standards [J].
Jradi, Muhyiddine ;
Sangogboye, Fisayo Caleb ;
Mattera, Claudio Giovanni ;
Kjaergaard, Mikkel Baun ;
Kjaergaard, Baun ;
Veje, Christian ;
Jorgensen, Bo Norregaard .
11TH NORDIC SYMPOSIUM ON BUILDING PHYSICS (NSB2017), 2017, 132 :21-26
[7]  
Kjaergaard Mikkel Baun, 2016, COMP BAS SOFTW ENG C, P39
[8]   Spatio-temporal facility utilization analysis from exhaustive WiFi monitoring [J].
Prentow, Thor S. ;
Ruiz-Ruiz, Antonio J. ;
Blunck, Henrik ;
Stisen, Allan ;
Kjaergaard, Mikkel B. .
PERVASIVE AND MOBILE COMPUTING, 2015, 16 :305-316
[9]   PLCount: A Probabilistic Fusion Algorithm for Accurately Estimating Occupancy from 3D Camera Counts [J].
Sangoboye, Fisayo Caleb ;
Kjaergaard, Mikkel Baun .
BUILDSYS'16: PROCEEDINGS OF THE 3RD ACM CONFERENCE ON SYSTEMS FOR ENERGY-EFFCIENT BUILT ENVIRONMENTS, 2016, :147-156
[10]  
Schumacher Manfred, 2007, ENERGY PERFORMANCE B