Effects of Positioning of Multi-Sensor Devices on Occupancy and Indoor Environmental Monitoring in Single-Occupant Offices

被引:14
作者
Azizi, Shoaib [1 ]
Rabiee, Ramtin [1 ]
Nair, Gireesh [1 ]
Olofsson, Thomas [1 ]
机构
[1] Umea Univ, Dept Appl Phys & Elect, S-90187 Umea, Sweden
基金
欧盟地平线“2020”;
关键词
data reliability; sensor placement; IoT; sensor accuracy; PIR sensors; sensor fusion; ENERGY PERFORMANCE; BUILDING OCCUPANCY; INFRARED-SENSOR; TEMPERATURE; VENTILATION; FRAMEWORK; BEHAVIOR; SYSTEMS;
D O I
10.3390/en14196296
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
The advancements in sensor and communication technologies drive the rapid developments in the applications of occupancy and indoor environmental monitoring in buildings. Currently, the installation standards for sensors are scarce and the recommendations for sensor positionings are very general. However, inadequate sensor positioning might diminish the reliability of sensor data, which could have serious impacts on the intended applications such as the performance of demand-controlled HVAC systems and their energy use. Thus, there is a need to understand how sensor positioning may affect the sensor data, specifically when using multi-sensor devices in which several sensors are being bundled together. This study is based on the data collected from 18 multi-sensor devices installed in three single-occupant offices (six sensors in each office). Each multi-sensor device included sensors to measure passive infrared (PIR) radiation, temperature, CO2, humidity, and illuminance. The results show that the positions of PIR and CO2 sensors significantly affect the reliability of occupancy detection. The typical approach of positioning the sensors on the ceiling, in the middle of offices, may lead to relatively unreliable data. In this case, the PIR sensor in that position has only 60% accuracy of presence detection. Installing the sensors under office desks could increase the accuracy of presence detection to 84%. These two sensor positions are highlighted in sensor fusion analysis as they could reach the highest accuracy compared to other pairs of PIR sensors. Moreover, sensor positioning can affect various indoor environmental parameters, especially temperature and illuminance measurements.
引用
收藏
页数:23
相关论文
共 67 条
[1]   Building energy metering and environmental monitoring - A state-of-the-art review and directions for future research [J].
Ahmad, Muhammad Waseem ;
Mourshed, Monjur ;
Mundow, David ;
Sisinni, Mario ;
Rezgui, Yacine .
ENERGY AND BUILDINGS, 2016, 120 :85-102
[2]  
[Anonymous], 2019, ELSYS SENSOR DATASHE
[3]  
ASHRAE, 2020, 55 ASHRAE
[4]   Simulation-aided occupant-centric building design: A critical review of tools, methods, and applications [J].
Azar, Elie ;
O'Brien, William ;
Carlucci, Salvatore ;
Hong, Tianzhen ;
Sonta, Andrew ;
Kim, Joyce ;
Andargie, Maedot S. ;
Abuimara, Tareq ;
El Asmar, Mounir ;
Jain, Rishee K. ;
Ouf, Mohamed M. ;
Tahmasebi, Farhang ;
Zhou, Jin .
ENERGY AND BUILDINGS, 2020, 224
[5]  
Azizi S., 2019, P ECEEE 2019 SUMM ST, P1443
[6]   Application of occupancy and booking information to optimize space and energy use in higher education institutions [J].
Azizi, Shoaib ;
Rabiee, Ramtin ;
Nair, Gireesh ;
Olofsson, Thomas .
12TH NORDIC SYMPOSIUM ON BUILDING PHYSICS (NSB 2020), 2020, 172
[7]   Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data [J].
Azizi, Shoaib ;
Nair, Gireesh ;
Rabiee, Ramtin ;
Olofsson, Thomas .
BUILDING AND ENVIRONMENT, 2020, 186
[8]   Analysing the house-owners' perceptions on benefits and barriers of energy renovation in Swedish single-family houses [J].
Azizi, Shoaib ;
Nair, Gireesh ;
Olofsson, Thomas .
ENERGY AND BUILDINGS, 2019, 198 :187-196
[9]   An evidence based approach to determining residential occupancy and its role in demand response management [J].
Chaney, Joel ;
Owens, Edward Hugh ;
Peacock, Andrew D. .
ENERGY AND BUILDINGS, 2016, 125 :254-266
[10]   Building occupancy estimation and detection: A review [J].
Chen, Zhenghua ;
Jiang, Chaoyang ;
Xie, Lihua .
ENERGY AND BUILDINGS, 2018, 169 :260-270