Influence of Complex Occupant Behavior Models on Cooling Energy Usage Analysis

The behavior of building occupants has been studied by researchers for building control as well as for predicting energy use. In this study, we analyzed the effect of the application of single and complex behavior models on the simulation results of residential buildings. Two occupant behaviors—wind...

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Main Authors: Sun-Hye Mun, Younghoon Kwak, Jung-Ho Huh
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/3/1243
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spelling doaj-4f372164aff64cf9ab45a4cb071daae02021-01-26T00:04:04ZengMDPI AGSustainability2071-10502021-01-01131243124310.3390/su13031243Influence of Complex Occupant Behavior Models on Cooling Energy Usage AnalysisSun-Hye Mun0Younghoon Kwak1Jung-Ho Huh2Green Building Research Center, Department of Living and Built Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, Gyeonggi-Do 10223, KoreaDepartment of Architecture, University of Seoul, Seoul 02504, KoreaDepartment of Architecture, University of Seoul, Seoul 02504, KoreaThe behavior of building occupants has been studied by researchers for building control as well as for predicting energy use. In this study, we analyzed the effect of the application of single and complex behavior models on the simulation results of residential buildings. Two occupant behaviors—window opening and closing and air conditioner (AC) usage—were simulated, which are known to be interconnected. This study had two purposes: The first was to integrate data analysis tools (R in this study) and building simulation tools (EnergyPlus in this study) so that two behaviors with interconnectivity could be reflected in building simulation analysis. The second purpose was to apply the behavior models in residential buildings to an integrated simulation environment in stages to analyze their relative influence on the building energy and indoor environment. The results of the study prove that the application of complex behavior is important for research regarding the prediction of actual energy consumption. The results help identify the gap between reality and the existing simulation methods; thereby, they can help improve methods related to energy consumption analysis. We hope that this study and its results will serve as a guide for researchers looking to study occupants’ behavior in the future.https://www.mdpi.com/2071-1050/13/3/1243complex occupant behaviorco-simulationbehavior sequencecooling energyresidential building
collection DOAJ
language English
format Article
sources DOAJ
author Sun-Hye Mun
Younghoon Kwak
Jung-Ho Huh
spellingShingle Sun-Hye Mun
Younghoon Kwak
Jung-Ho Huh
Influence of Complex Occupant Behavior Models on Cooling Energy Usage Analysis
Sustainability
complex occupant behavior
co-simulation
behavior sequence
cooling energy
residential building
author_facet Sun-Hye Mun
Younghoon Kwak
Jung-Ho Huh
author_sort Sun-Hye Mun
title Influence of Complex Occupant Behavior Models on Cooling Energy Usage Analysis
title_short Influence of Complex Occupant Behavior Models on Cooling Energy Usage Analysis
title_full Influence of Complex Occupant Behavior Models on Cooling Energy Usage Analysis
title_fullStr Influence of Complex Occupant Behavior Models on Cooling Energy Usage Analysis
title_full_unstemmed Influence of Complex Occupant Behavior Models on Cooling Energy Usage Analysis
title_sort influence of complex occupant behavior models on cooling energy usage analysis
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-01-01
description The behavior of building occupants has been studied by researchers for building control as well as for predicting energy use. In this study, we analyzed the effect of the application of single and complex behavior models on the simulation results of residential buildings. Two occupant behaviors—window opening and closing and air conditioner (AC) usage—were simulated, which are known to be interconnected. This study had two purposes: The first was to integrate data analysis tools (R in this study) and building simulation tools (EnergyPlus in this study) so that two behaviors with interconnectivity could be reflected in building simulation analysis. The second purpose was to apply the behavior models in residential buildings to an integrated simulation environment in stages to analyze their relative influence on the building energy and indoor environment. The results of the study prove that the application of complex behavior is important for research regarding the prediction of actual energy consumption. The results help identify the gap between reality and the existing simulation methods; thereby, they can help improve methods related to energy consumption analysis. We hope that this study and its results will serve as a guide for researchers looking to study occupants’ behavior in the future.
topic complex occupant behavior
co-simulation
behavior sequence
cooling energy
residential building
url https://www.mdpi.com/2071-1050/13/3/1243
work_keys_str_mv AT sunhyemun influenceofcomplexoccupantbehaviormodelsoncoolingenergyusageanalysis
AT younghoonkwak influenceofcomplexoccupantbehaviormodelsoncoolingenergyusageanalysis
AT junghohuh influenceofcomplexoccupantbehaviormodelsoncoolingenergyusageanalysis
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