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

Joosang Lee, Deok-Oh Woo, Jihoon Jang, Lars Junghans and Seung-Bok Leigh
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Joosang Lee: Department of Architecture and Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
Deok-Oh Woo: College of Engineering, Lawrence Technological University, 21000 W 10 Mile Rd., Southfield, MI 48075, USA
Jihoon Jang: Department of Architecture and Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
Lars Junghans: A. Alfred Taubman College of Architecture and Urban Planning, University of Michigan, 2000 Bonisteel Blvd., Ann Arbor, MI 48109, USA
Seung-Bok Leigh: Department of Architecture and Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea

Energies, 2022, vol. 15, issue 3, 1-28

Abstract: 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 CO 2 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.

Keywords: indoor environmental quality; Internet of Things; machine learning; affordable technology; ventilation control; operative temperature (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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