Personalized low-cost thermal comfort monitoring using IoT technologies
Thermal comfort plays an essential role in the well-being and productivity of occupants. Typically, thermal comfort is assessed either through surveys completed by building occupants or through sensor data that is analyzed using thermal comfort models. Automating comfort surveys and data collection...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Indoor Environments |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950362024000456 |
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| _version_ | 1850107149577879552 |
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| author | Carlos Chillón Geck Hayder Alsaad Conrad Voelker Kay Smarsly |
| author_facet | Carlos Chillón Geck Hayder Alsaad Conrad Voelker Kay Smarsly |
| author_sort | Carlos Chillón Geck |
| collection | DOAJ |
| description | Thermal comfort plays an essential role in the well-being and productivity of occupants. Typically, thermal comfort is assessed either through surveys completed by building occupants or through sensor data that is analyzed using thermal comfort models. Automating comfort surveys and data collection processes reduce the risk of information loss, providing more accurate and personalized thermal comfort assessments over longer periods of time. To this end, this paper presents the design and implementation of a thermal comfort monitoring system consisting of low-cost hardware components and using IoT technologies. The system consists of intelligent wireless sensor nodes that collect and process environmental data, a portable main station that integrates and stores data, and a digital survey that provides feedback from building occupants. To ensure accuracy, the low-cost hardware components of the intelligent sensor nodes are calibrated in a climate chamber, using high-precision sensors for reference. After calibration, the system is deployed in a field test where several intelligent sensor nodes collect environmental data in an office, while occupants complete the digital thermal comfort survey. In addition, thermal comfort indexes are computed by the intelligent sensor nodes and compared with the feedback of each building occupant. The results indicate that the low-cost thermal comfort monitoring system successfully collects and integrates thermal comfort data from the intelligent sensor nodes and the digital survey, being able to create personalized thermal comfort profiles. In future work, the system can be used in large-scale thermal comfort surveys, to develop personalized thermal comfort models and to control personalized comfort systems. |
| format | Article |
| id | doaj-art-2e2adfc864bc4e75b1c95c6ae2b5f614 |
| institution | OA Journals |
| issn | 2950-3620 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Indoor Environments |
| spelling | doaj-art-2e2adfc864bc4e75b1c95c6ae2b5f6142025-08-20T02:38:39ZengElsevierIndoor Environments2950-36202024-12-011410004810.1016/j.indenv.2024.100048Personalized low-cost thermal comfort monitoring using IoT technologiesCarlos Chillón Geck0Hayder Alsaad1Conrad Voelker2Kay Smarsly3Institute of Digital and Autonomous Construction, Hamburg University of Technology, Blohmstraße 15, Hamburg 21079, Germany; Corresponding author.Chair of Building Physics, Bauhaus-Universität Weimar, Coudraystrasse 11a, Weimar 99423, GermanyChair of Building Physics, Bauhaus-Universität Weimar, Coudraystrasse 11a, Weimar 99423, GermanyInstitute of Digital and Autonomous Construction, Hamburg University of Technology, Blohmstraße 15, Hamburg 21079, GermanyThermal comfort plays an essential role in the well-being and productivity of occupants. Typically, thermal comfort is assessed either through surveys completed by building occupants or through sensor data that is analyzed using thermal comfort models. Automating comfort surveys and data collection processes reduce the risk of information loss, providing more accurate and personalized thermal comfort assessments over longer periods of time. To this end, this paper presents the design and implementation of a thermal comfort monitoring system consisting of low-cost hardware components and using IoT technologies. The system consists of intelligent wireless sensor nodes that collect and process environmental data, a portable main station that integrates and stores data, and a digital survey that provides feedback from building occupants. To ensure accuracy, the low-cost hardware components of the intelligent sensor nodes are calibrated in a climate chamber, using high-precision sensors for reference. After calibration, the system is deployed in a field test where several intelligent sensor nodes collect environmental data in an office, while occupants complete the digital thermal comfort survey. In addition, thermal comfort indexes are computed by the intelligent sensor nodes and compared with the feedback of each building occupant. The results indicate that the low-cost thermal comfort monitoring system successfully collects and integrates thermal comfort data from the intelligent sensor nodes and the digital survey, being able to create personalized thermal comfort profiles. In future work, the system can be used in large-scale thermal comfort surveys, to develop personalized thermal comfort models and to control personalized comfort systems.http://www.sciencedirect.com/science/article/pii/S2950362024000456Thermal comfortInternet of Things (IoT)Smart buildingsSmart homeWireless sensor networksIntelligent sensor nodes |
| spellingShingle | Carlos Chillón Geck Hayder Alsaad Conrad Voelker Kay Smarsly Personalized low-cost thermal comfort monitoring using IoT technologies Indoor Environments Thermal comfort Internet of Things (IoT) Smart buildings Smart home Wireless sensor networks Intelligent sensor nodes |
| title | Personalized low-cost thermal comfort monitoring using IoT technologies |
| title_full | Personalized low-cost thermal comfort monitoring using IoT technologies |
| title_fullStr | Personalized low-cost thermal comfort monitoring using IoT technologies |
| title_full_unstemmed | Personalized low-cost thermal comfort monitoring using IoT technologies |
| title_short | Personalized low-cost thermal comfort monitoring using IoT technologies |
| title_sort | personalized low cost thermal comfort monitoring using iot technologies |
| topic | Thermal comfort Internet of Things (IoT) Smart buildings Smart home Wireless sensor networks Intelligent sensor nodes |
| url | http://www.sciencedirect.com/science/article/pii/S2950362024000456 |
| work_keys_str_mv | AT carloschillongeck personalizedlowcostthermalcomfortmonitoringusingiottechnologies AT hayderalsaad personalizedlowcostthermalcomfortmonitoringusingiottechnologies AT conradvoelker personalizedlowcostthermalcomfortmonitoringusingiottechnologies AT kaysmarsly personalizedlowcostthermalcomfortmonitoringusingiottechnologies |