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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/3/921 |
| _version_ | 1797488111993749504 |
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| author | Joosang Lee Deok-Oh Woo Jihoon Jang Lars Junghans Seung-Bok Leigh |
| author_facet | Joosang Lee Deok-Oh Woo Jihoon Jang Lars Junghans Seung-Bok Leigh |
| author_sort | Joosang Lee |
| collection | DOAJ |
| description | 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<sub>2</sub> 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. |
| first_indexed | 2024-03-09T23:57:29Z |
| format | Article |
| id | doaj.art-6f1d1b0a467244c8ae1c8fbf3ade77c9 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T23:57:29Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-6f1d1b0a467244c8ae1c8fbf3ade77c92023-11-23T16:22:07ZengMDPI AGEnergies1996-10732022-01-0115392110.3390/en15030921Collection and Utilization of Indoor Environmental Quality Information Using Affordable Image Sensing TechnologyJoosang Lee0Deok-Oh Woo1Jihoon Jang2Lars Junghans3Seung-Bok Leigh4Department of Architecture and Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, KoreaCollege of Engineering, Lawrence Technological University, 21000 W 10 Mile Rd., Southfield, MI 48075, USADepartment of Architecture and Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, KoreaA. Alfred Taubman College of Architecture and Urban Planning, University of Michigan, 2000 Bonisteel Blvd., Ann Arbor, MI 48109, USADepartment of Architecture and Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, KoreaIncorporating 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<sub>2</sub> 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.https://www.mdpi.com/1996-1073/15/3/921indoor environmental qualityInternet of Thingsmachine learningaffordable technologyventilation controloperative temperature |
| spellingShingle | Joosang Lee Deok-Oh Woo Jihoon Jang Lars Junghans Seung-Bok Leigh Collection and Utilization of Indoor Environmental Quality Information Using Affordable Image Sensing Technology Energies indoor environmental quality Internet of Things machine learning affordable technology ventilation control operative temperature |
| title | Collection and Utilization of Indoor Environmental Quality Information Using Affordable Image Sensing Technology |
| title_full | Collection and Utilization of Indoor Environmental Quality Information Using Affordable Image Sensing Technology |
| title_fullStr | Collection and Utilization of Indoor Environmental Quality Information Using Affordable Image Sensing Technology |
| title_full_unstemmed | Collection and Utilization of Indoor Environmental Quality Information Using Affordable Image Sensing Technology |
| title_short | Collection and Utilization of Indoor Environmental Quality Information Using Affordable Image Sensing Technology |
| title_sort | collection and utilization of indoor environmental quality information using affordable image sensing technology |
| topic | indoor environmental quality Internet of Things machine learning affordable technology ventilation control operative temperature |
| url | https://www.mdpi.com/1996-1073/15/3/921 |
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