A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Qualitative Comparison of Unobtrusive Domestic Occupancy Measurement Technologies
Domestic occupancy measurement could save significant amounts of energy, either instantly via a home automation system or retrospectively via post-occupancy evaluation and feedback. However, not many localisation technologies are applicable to a domestic environment. In this paper three unobtrusive occupancy measuring technologies, i.e. Passive Infra-Red (PIR), Carbon Dioxide (CO2) and Device-free Localisation (DfL), are compared. Their operation is explained and possible advantages and disadvantages are outlined. A qualitative experimental study then analyses the abilities of each system to detect overall occupancy, detect room level occupancy, count the number of occupants and localise them. It has been found that CO2 and PIR sensors are very limited. The impacts of other factors, such as windows or occupants’ metabolic rates, were significant on the reliability of the measured data. Device-free localisation on the other hand has great potential, but requires further research.
A Qualitative Comparison of Unobtrusive Domestic Occupancy Measurement Technologies
Domestic occupancy measurement could save significant amounts of energy, either instantly via a home automation system or retrospectively via post-occupancy evaluation and feedback. However, not many localisation technologies are applicable to a domestic environment. In this paper three unobtrusive occupancy measuring technologies, i.e. Passive Infra-Red (PIR), Carbon Dioxide (CO2) and Device-free Localisation (DfL), are compared. Their operation is explained and possible advantages and disadvantages are outlined. A qualitative experimental study then analyses the abilities of each system to detect overall occupancy, detect room level occupancy, count the number of occupants and localise them. It has been found that CO2 and PIR sensors are very limited. The impacts of other factors, such as windows or occupants’ metabolic rates, were significant on the reliability of the measured data. Device-free localisation on the other hand has great potential, but requires further research.
A Qualitative Comparison of Unobtrusive Domestic Occupancy Measurement Technologies
Smart Innovation, Systems and Technologies
Hakansson, Anne (editor) / Höjer, Mattias (editor) / Howlett, Robert J. (editor) / Jain, Lakhmi C (editor) / Nagijew, Eldar (author) / Gillott, Mark (author) / Wilson, Robin (author)
2013-01-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
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