Review of vision-based occupant information sensing systems for occupant-centric control

Choi, Haneul; Um, Chai Yoon; Kang, Kyungran; Kim, Hyungkeun; Kim, Taeyeon

doi:10.1016/j.buildenv.2021.108064

Cited by 47 publications

(11 citation statements)

References 71 publications

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“…Furthermore, cooling systems designed and operated using fixed schedules, predefined by building designers and operators based on assumed occupancy levels or patterns, can lead to spaces being unnecessarily over or under-conditioned (Tien et al, 2022). There has been a rise in studies on occupant or human-centred control strategies for cooling systems to address such issues (Choi et al, 2021a). Such strategies actively reflect occupancy information and behaviour in the control of building systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Analysis of Energy Saving Strategies and the Risk of Occupant Thermal Discomfort in Residential Buildings in Warm Humid Climate

2023

IRJMETS

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The discomfort faced by occupants of buildings in warm humid climate are effect of high solar radiation, high humidity levels and less effective air flow; which cannot ensure occupant thermal comfort. As a result, these have contributed to use of artificial means to provide a comfortable thermal environment at high energy consumption. The thermal comfort of the occupants, a measure of the satisfaction with the indoor environmental conditions, is thus of great importance, and has been linked to the health, well-being, and productivity of occupants. To reduce energy use and costs, and to reduce greenhouse gas emissions, buildings continue to be targeted through energy efficient retrofits and natural ventilation design. Therefore, this paper reports on the evaluation done using questionnaire and physical measurement to determine the effect of energy saving strategies on occupant's thermal perception in residential buildings. Data on the indoor air flow in five different window openings in purposively selected rooms were used. The Analysis of Variance (ANOVA) test conducted at 95% confidence level showed that there was significant statistical difference between the occupant's thermal perception for the different window openings thus: F=65.555; p=.000. The sliding window had a mean value of 29.25; projected 28.14; casement 27.00; louvre 26.23 and casement with vent 24.97. The result shows that the ability to achieve a comfortable indoor environment for occupants by applying energy saving strategies is influenced by window design variables. Recommendations were made for energy saving strategies to be applied both in the design phase of a building and when renovating existing buildings to achieve low energy consumption and occupant thermal comfort.

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Section: Literature Reviewmentioning

confidence: 99%

Performance Analysis of Energy Saving Strategies and the Risk of Occupant Thermal Discomfort in Residential Buildings in Warm Humid Climate

2023

IRJMETS

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“…Furthermore, HVAC systems designed and operated using fixed schedules, predefined by building designers and operators based on assumed occupancy levels or patterns, can lead to spaces being unnecessarily over-or under-conditioned ( Tien et al, 2020a ). There has been a rise in studies on occupant-or human-centred control strategies for HVAC systems to address such issues ( Choi et al, 2021a ). Such strategies actively reflect occupancy information and behavior in the control of building systems.…”

Section: Aimentioning

confidence: 99%

Enhancing the detection performance of a vision-based window opening detector

Tien

Wei

Calautit

et al. 2022

Cleaner Energy Systems

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“…Recently, there is a spike in research employing camera, computer vision and deep learning to detect occupants in buildings. Many of the earlier research focused on occupancy counting and presence [25]. While the others focused on enhancing the performance of the occupancy detection model or algorithm by increasing the accuracy or speed of detection.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV)

Wei

Tien

Chow

et al. 2022

Journal of Building Engineering

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Review of vision-based occupant information sensing systems for occupant-centric control

Cited by 47 publications

References 71 publications

Performance Analysis of Energy Saving Strategies and the Risk of Occupant Thermal Discomfort in Residential Buildings in Warm Humid Climate

Performance Analysis of Energy Saving Strategies and the Risk of Occupant Thermal Discomfort in Residential Buildings in Warm Humid Climate

Enhancing the detection performance of a vision-based window opening detector

Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV)

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