Effect of Dynamic Window Opening Behaviors on Indoor Thermal Environment and Energy Consumption in Residential Buildings of Different Chinese Thermal Climate Zones

Residential occupant window opening behavior has a significant impact on building design optimization, energy consumption diagnosis, performance evaluation and energy simulation. However, there has not been much research quantifying the evaluation of window opening behaviors’ influence with respect...

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Main Authors: Fangpeng Guo, Zhenqian Chen, Jun Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/15/1/28
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author Fangpeng Guo
Zhenqian Chen
Jun Wang
author_facet Fangpeng Guo
Zhenqian Chen
Jun Wang
author_sort Fangpeng Guo
collection DOAJ
description Residential occupant window opening behavior has a significant impact on building design optimization, energy consumption diagnosis, performance evaluation and energy simulation. However, there has not been much research quantifying the evaluation of window opening behaviors’ influence with respect to residential thermal comfort and HVAC energy for different thermal climate zones in China. Therefore, this paper compared the impacts of six window opening models on HVAC energy consumption and thermal comfort in residential buildings across five thermal climate zones in China through a series of simulation tests using a building performance simulation software. The results indicated that in terms of thermal comfort, the optimal window opening model is WOM-3 (the window opening model based on outdoor air temperature) for Shenyang, Beijing, Wuhan, and Guangzhou, with thermal comfort hours of 2076, 2065, 2244, and 3491, and WOM-6 (the window opening model based on occupant window opening schedules) was optimal for Kunming with thermal comfort hours of 3292. With respect to HVAC energy consumption, the window opening models WOM-3, WOM-4 (the window opening model based on 15 ≤ Tout ≤ Tin ≤ 28), and WOM-6 (the window opening model based on outdoor air temperature Coupled 15 ≤ Tout ≤ 28 and the occupant window opening schedules) were found to be optimal for Shenyang, Beijing, Wuhan, Guangzhou, and Kunming. When taking thermal comfort and HVAC energy into consideration, the outdoor air temperature-based WOM-3 is the ideal window opening model. Moreover, the optimal window opening model for each month has been elucidated.
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institution Kabale University
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publishDate 2024-12-01
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spelling doaj-art-391c9606a3ff4122a12da360aa796bba2025-01-10T13:15:49ZengMDPI AGBuildings2075-53092024-12-011512810.3390/buildings15010028Effect of Dynamic Window Opening Behaviors on Indoor Thermal Environment and Energy Consumption in Residential Buildings of Different Chinese Thermal Climate ZonesFangpeng Guo0Zhenqian Chen1Jun Wang2School of Architecture and Civil Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaSchool of Energy and Environment, Southeast University, Nanjing 211189, ChinaSchool of Mechanic Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaResidential occupant window opening behavior has a significant impact on building design optimization, energy consumption diagnosis, performance evaluation and energy simulation. However, there has not been much research quantifying the evaluation of window opening behaviors’ influence with respect to residential thermal comfort and HVAC energy for different thermal climate zones in China. Therefore, this paper compared the impacts of six window opening models on HVAC energy consumption and thermal comfort in residential buildings across five thermal climate zones in China through a series of simulation tests using a building performance simulation software. The results indicated that in terms of thermal comfort, the optimal window opening model is WOM-3 (the window opening model based on outdoor air temperature) for Shenyang, Beijing, Wuhan, and Guangzhou, with thermal comfort hours of 2076, 2065, 2244, and 3491, and WOM-6 (the window opening model based on occupant window opening schedules) was optimal for Kunming with thermal comfort hours of 3292. With respect to HVAC energy consumption, the window opening models WOM-3, WOM-4 (the window opening model based on 15 ≤ Tout ≤ Tin ≤ 28), and WOM-6 (the window opening model based on outdoor air temperature Coupled 15 ≤ Tout ≤ 28 and the occupant window opening schedules) were found to be optimal for Shenyang, Beijing, Wuhan, Guangzhou, and Kunming. When taking thermal comfort and HVAC energy into consideration, the outdoor air temperature-based WOM-3 is the ideal window opening model. Moreover, the optimal window opening model for each month has been elucidated.https://www.mdpi.com/2075-5309/15/1/28window opening modelthermal comfortHVAC energybuilding performance simulation
spellingShingle Fangpeng Guo
Zhenqian Chen
Jun Wang
Effect of Dynamic Window Opening Behaviors on Indoor Thermal Environment and Energy Consumption in Residential Buildings of Different Chinese Thermal Climate Zones
Buildings
window opening model
thermal comfort
HVAC energy
building performance simulation
title Effect of Dynamic Window Opening Behaviors on Indoor Thermal Environment and Energy Consumption in Residential Buildings of Different Chinese Thermal Climate Zones
title_full Effect of Dynamic Window Opening Behaviors on Indoor Thermal Environment and Energy Consumption in Residential Buildings of Different Chinese Thermal Climate Zones
title_fullStr Effect of Dynamic Window Opening Behaviors on Indoor Thermal Environment and Energy Consumption in Residential Buildings of Different Chinese Thermal Climate Zones
title_full_unstemmed Effect of Dynamic Window Opening Behaviors on Indoor Thermal Environment and Energy Consumption in Residential Buildings of Different Chinese Thermal Climate Zones
title_short Effect of Dynamic Window Opening Behaviors on Indoor Thermal Environment and Energy Consumption in Residential Buildings of Different Chinese Thermal Climate Zones
title_sort effect of dynamic window opening behaviors on indoor thermal environment and energy consumption in residential buildings of different chinese thermal climate zones
topic window opening model
thermal comfort
HVAC energy
building performance simulation
url https://www.mdpi.com/2075-5309/15/1/28
work_keys_str_mv AT fangpengguo effectofdynamicwindowopeningbehaviorsonindoorthermalenvironmentandenergyconsumptioninresidentialbuildingsofdifferentchinesethermalclimatezones
AT zhenqianchen effectofdynamicwindowopeningbehaviorsonindoorthermalenvironmentandenergyconsumptioninresidentialbuildingsofdifferentchinesethermalclimatezones
AT junwang effectofdynamicwindowopeningbehaviorsonindoorthermalenvironmentandenergyconsumptioninresidentialbuildingsofdifferentchinesethermalclimatezones