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2024 Vol.44, Issue 6 Preview Page

Research Article

Development of PMV Virtual Sensors for Optimal Seat Reservation in Libraries

도서관 최적 좌석 제시를 위한 PMV 가상센서 시스템 구축

Sangmin Lee1
,
Sangwon Lee1
,
Seoyeon Choi1
,
Hyunwoo Lim2*
이 상민1
,
이 상원1
,
최 서연1
,
임 현우2*
1Undergraduate, Department of Architecture College of Architecture Konkuk University
2Assistant Professor, Department of Architecture College of Architecture Konkuk University
1건국대학교 건축대학 건축학부, 학사과정
2건국대학교 건축대학 건축학부, 조교수
*Corresponding Author
30 December 2024. pp. 157-174
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Abstract

Thermal comfort varies according to the seating infrastructure, even within the same space; and individuals may perceive thermal comfort differently, albeit using the same seat. The current seat-reservation systems in library reading rooms do not account for these differences, leading to dissatisfaction among users. A survey of 149 library patrons at K University found that 73% were dissatisfied with the thermal conditions in the library. In this study, we developed a Predicted Mean Vote (PMV) virtual sensor system to provide the important thermal-comfort information required for ensuring optimal seat reservation. Using a Multi-Layer Perceptron (MLP) model, we developed PMV virtual sensors for all seats in the library while measuring the temperature and humidity across the room; a total of 45 models were constructed, with the Coefficient of Variation of the Root-Mean-Square error (cv(RMSE)) being less than 10%. The Computational Fluid Dynamics (CFD) simulations provided the airflow data; the data were incorporated into the PMV calculations. Based on this, the PMV was visualized within an actual seat reservation system to identify and recommend optimal seating, reducing user dissatisfaction by up to 41.7%. This study indicates that providing PMV-based thermal comfort information during seat reservation can effectively reduce occupant dissatisfaction, which in turn can help minimize unnecessary heating and cooling demands and contribute to building energy optimization.

Keywords
Virtual Sensor
Thermal Comfort
Predicted Mean Vote
Optimal Seat Reservation
키워드
가상센서
열적쾌적성
예측평균평가
최적 좌석 선택
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Information
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 44
  • No :6
  • Pages :157-174
  • Received Date : 2024-10-14
  • Revised Date : 2024-11-22
  • Accepted Date : 2024-12-16
  • DOI :https://doi.org/10.7836/kses.2024.44.6.157
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