Faridah, Faridah and Waruwu, Memory Motivanisman and Wijayanto, Titis and Budiarto, Rachmawan and Pratama, Raditya Cahya and Prayogi, Septian Eka and Nadiya, Nur Muna and Yanti, Ressy Jaya (2021) Feasibility study to detect occupant thermal sensation using a low-cost thermal camera for indoor environments in Indonesia. Building Services Engineering Research and Technology, 42 (4). 389 – 404. ISSN 01436244
Full text not available from this repository. (Request a copy)Abstract
This paper concerns the feasibility study of 7 classes of thermal sensation detection in Indonesia's indoor environment using a low-cost thermal camera through face skin temperature. This study is required as an initial step to build a thermal comfort sensor system of HVAC control systems to produce a comfortable indoor environment with minimum and efficient energy use. The feasibility study was started by studying the thermoregulation system of respondents in Indonesia through measuring their body and facial skin temperatures under heating and cooling conditions, including their relationship with thermal sensations. The facial skin temperature variable, which is covered by four measurement points, namely forehead, nose, cheeks, and chin, represents the MST variable by the coefficient of determination of 0.54. The thermal sensation detection algorithm based on Artificial Neural Network (ANN) is 35.7 of accuracy. The thermal sensation questionnaire with 7 class categories is unsuitable for Indonesian respondents, and the number of the category classes predicted too much compared to the number of inputs. The detection algorithm has better accuracy with a smaller number of classes, namely 52.2 and 68.70 for the 5 and 3 classes of thermal sensation. Practical application: The air conditioning buildings system is possible to influence a thermal environmental control system to meet the occupants' thermal comfort level requirement in an indoor environment if the system is equipped with a sensor that can detect the occupants' thermal sensations. The thermal camera can be used as a non-contact sensor, detecting the occupant’s thermal sensation by reading the occupant's face skin temperature in an indoor environment. © The Author(s) 2021.
Item Type: | Article |
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Additional Information: | Cited by: 13 |
Uncontrolled Keywords: | Air conditioning; Cameras; Control systems; Costs; Energy efficiency; Environmental management; Infrared devices; Neural networks; Planning; Signal detection; Coefficient of determination; Detection algorithm; Facial Skin temperature; Heating and cooling; Non- contact sensors; Thermal comfort level; Thermal environmental control; Thermoregulation systems; Thermal comfort |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > Nuclear engineering. Atomic power |
Divisions: | Faculty of Engineering > Nuclear and Physics Engineering Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 29 Oct 2024 04:32 |
Last Modified: | 29 Oct 2024 04:32 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/8498 |