Influence of Three Dynamic Predictive Clothing Insulation Models on Building Energy Use, HVAC Sizing and Thermal Comfort

In building energy simulation, indoor thermal comfort condition, energy use and equipment size are typically calculated based on the assumption that the clothing insulation is equal to a constant value of 0.5 clo during the cooling season and 1.0 clo during the heating season. The assumption is not...

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Main Authors: Kwang Ho Lee, Stefano Schiavon
Format: Article
Language:English
Published: MDPI AG 2014-03-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/7/4/1917
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spelling doaj-91ce64fba8aa42ed9ce6fed5365d42b72020-11-25T00:20:58ZengMDPI AGEnergies1996-10732014-03-01741917193410.3390/en7041917en7041917Influence of Three Dynamic Predictive Clothing Insulation Models on Building Energy Use, HVAC Sizing and Thermal ComfortKwang Ho Lee0Stefano Schiavon1Department of Architectural Engineering, Hanbat National University, San 16-1, Dukmying-Dong, Yusung-Gu, Daejeon 305-719, KoreaCenter for the Built Environment, University of California at Berkeley, 390 Wurster Hall, Berkeley, CA 94720, USAIn building energy simulation, indoor thermal comfort condition, energy use and equipment size are typically calculated based on the assumption that the clothing insulation is equal to a constant value of 0.5 clo during the cooling season and 1.0 clo during the heating season. The assumption is not reflected in practice and thus it may lead to errors. In reality, occupants frequently adjust their clothing depending on the thermal conditions, as opposed to the assumption of constant clothing values above, indicating that the clothing insulation variation should be captured in building simulation software to obtain more reliable and accurate results. In this study, the impact of three newly developed dynamic clothing insulation models on the building simulation is quantitatively assessed using the detailed whole-building energy simulation program, EnergyPlus version 6.0. The results showed that when the heating ventilation and air conditioning system (HVAC) is controlled based on indoor temperature the dynamic clothing models do not affect indoor operative temperatures, energy consumption and equipment sizing. When the HVAC is controlled based on the PMV model the use of a fixed clothing insulation during the cooling (0.5 clo) and heating (1.0 clo) season leads to the incorrect estimation of the indoor operative temperatures, energy consumption and equipment sizing. The dynamic clothing models significantly (p < 0.0001) improve the ability of energy simulation tools to assess thermal comfort. The authors recommend that the dynamic clothing models should be implemented in dynamic building energy simulation software such as EnergyPlus.http://www.mdpi.com/1996-1073/7/4/1917predictive clothing insulation modelclothingbuilding energyEnergyPlusthermal comfort
collection DOAJ
language English
format Article
sources DOAJ
author Kwang Ho Lee
Stefano Schiavon
spellingShingle Kwang Ho Lee
Stefano Schiavon
Influence of Three Dynamic Predictive Clothing Insulation Models on Building Energy Use, HVAC Sizing and Thermal Comfort
Energies
predictive clothing insulation model
clothing
building energy
EnergyPlus
thermal comfort
author_facet Kwang Ho Lee
Stefano Schiavon
author_sort Kwang Ho Lee
title Influence of Three Dynamic Predictive Clothing Insulation Models on Building Energy Use, HVAC Sizing and Thermal Comfort
title_short Influence of Three Dynamic Predictive Clothing Insulation Models on Building Energy Use, HVAC Sizing and Thermal Comfort
title_full Influence of Three Dynamic Predictive Clothing Insulation Models on Building Energy Use, HVAC Sizing and Thermal Comfort
title_fullStr Influence of Three Dynamic Predictive Clothing Insulation Models on Building Energy Use, HVAC Sizing and Thermal Comfort
title_full_unstemmed Influence of Three Dynamic Predictive Clothing Insulation Models on Building Energy Use, HVAC Sizing and Thermal Comfort
title_sort influence of three dynamic predictive clothing insulation models on building energy use, hvac sizing and thermal comfort
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2014-03-01
description In building energy simulation, indoor thermal comfort condition, energy use and equipment size are typically calculated based on the assumption that the clothing insulation is equal to a constant value of 0.5 clo during the cooling season and 1.0 clo during the heating season. The assumption is not reflected in practice and thus it may lead to errors. In reality, occupants frequently adjust their clothing depending on the thermal conditions, as opposed to the assumption of constant clothing values above, indicating that the clothing insulation variation should be captured in building simulation software to obtain more reliable and accurate results. In this study, the impact of three newly developed dynamic clothing insulation models on the building simulation is quantitatively assessed using the detailed whole-building energy simulation program, EnergyPlus version 6.0. The results showed that when the heating ventilation and air conditioning system (HVAC) is controlled based on indoor temperature the dynamic clothing models do not affect indoor operative temperatures, energy consumption and equipment sizing. When the HVAC is controlled based on the PMV model the use of a fixed clothing insulation during the cooling (0.5 clo) and heating (1.0 clo) season leads to the incorrect estimation of the indoor operative temperatures, energy consumption and equipment sizing. The dynamic clothing models significantly (p < 0.0001) improve the ability of energy simulation tools to assess thermal comfort. The authors recommend that the dynamic clothing models should be implemented in dynamic building energy simulation software such as EnergyPlus.
topic predictive clothing insulation model
clothing
building energy
EnergyPlus
thermal comfort
url http://www.mdpi.com/1996-1073/7/4/1917
work_keys_str_mv AT kwangholee influenceofthreedynamicpredictiveclothinginsulationmodelsonbuildingenergyusehvacsizingandthermalcomfort
AT stefanoschiavon influenceofthreedynamicpredictiveclothinginsulationmodelsonbuildingenergyusehvacsizingandthermalcomfort
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