Real-time Prediction of Mean Radiant Temperature through Developed a Virtual Sensor Model using Existing Sensors

Hye-Jin Shin; Dong-Seok Lee

doi:10.22696/jkiaebs.20240009

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2024 Vol.18, Issue 2 Preview Page Next Page

Research Article

Real-time Prediction of Mean Radiant Temperature through Developed a Virtual Sensor Model using Existing Sensors 가상센서 모델 개발을 통한 건물 기존 온도 센서 활용 평균복사온도 실시간 예측

30 April 2024. pp. 98-108

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Abstract

The mean radiant temperature (MRT) is a critical factor influencing approximately half of the thermal comfort experienced by occupants. However, existing methods for measuring MRT have not been employed due to the physical limitations of the measuring equipment. This study aims to develop a virtual sensor model for predict MRT applicable in existing buildings without the need for additional sensor installations. To achieve this, experiment was conducted. Simplified resistance-capacity (RC) model was applied for building model. Using particle swarm optimization (PSO), R and C values were obtained to predict indoor surface temperatures. Finally, real-time MRT spatial distribution was predicted using the derived surface temperatures, and the outcomes were thoroughly discussed. The result of this study indicates the practical applicability of the MRT prediction model in occupied buildings.

Keywords

Mean Radiant Temperature

Surface temperature

RC model

Virtual Sensor

키워드

평균복사온도

표면온도

RC 모델

가상센서

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Information

Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
Publisher(Ko) :한국건축친환경설비학회
Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
Journal Title(Ko) :한국건축친환경설비학회논문집
Volume : 18
No :2
Pages :98-108
Received Date : 2024-02-17
Revised Date : 2024-03-29
Accepted Date : 2024-04-02
DOI :https://doi.org/10.22696/jkiaebs.20240009

Journal of Korean Institute of Architectural Sustainable Environment and Building Systems ISSN:1976-6483(Print) 2586-0666(Online) 한국건축친환경설비학회논문집

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