Collection and Utilization of Indoor Environmental Quality Information Using Affordable Image Sensing Technology

Incorporating Internet of Things (IoT) technology into the operation of buildings is expected to generate immense synergy, thereby saving energy and improving occupant comfort by overcoming the limitations of the existing system. Preventing operations in the absence of occupants can save energy, and...

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Bibliographic Details
Published in:Energies (Basel) 2022-02, Vol.15 (3), p.921
Main Authors: Lee, Joosang, Woo, Deok-Oh, Jang, Jihoon, Junghans, Lars, Leigh, Seung-Bok
Format: Article
Language:English
Subjects:
affordable technology
Air conditioning
Air quality
Air quality control
Building automation
Building codes
Buildings
Carbon dioxide
Carbon dioxide concentration
Control theory
Cost control
Energy conservation
Energy efficiency
Environmental quality
Humidity
Image quality
Indoor air pollution
Indoor air quality
indoor environmental quality
Indoor environments
Internet of Things
machine learning
Operating temperature
operative temperature
Quality standards
Real time
Sensor arrays
Sensors
Surface temperature
Technology
Ventilation
ventilation control
Water temperature
Wireless communications
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Summary:Incorporating Internet of Things (IoT) technology into the operation of buildings is expected to generate immense synergy, thereby saving energy and improving occupant comfort by overcoming the limitations of the existing system. Preventing operations in the absence of occupants can save energy, and the occupants’ preferred operating temperature should be used as the control set-point rather than the nominal temperature. In this study, IoT technology and image sensors are used to rapidly detect indoor environment changes, and a method is proposed to utilize air quality and thermal comfort as the control set-points. A real-time ventilation control algorithm is proposed based on the CO2 concentration calculated according to the number of occupants. To check the thermal comfort level, the real-time operating temperature estimated from the surface temperature data of the infrared array sensor is reflected in the comfort zone defined by the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE). The deficiencies in indoor environment conditions caused by the temporal and spatial lag of sensors in the old system are minimized using IoT technology, which also facilitates wireless communications. The image sensors can be used for multiple purposes based on various interpretations of the image information obtained.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15030921