冬暖夏热地区办公建筑窗户使用行为及影响因素研究
摘要：办公建筑通过开关窗行为进行自然通风不仅可以改善室内环境质量，还能在一定程度上减少建筑能耗。各国学者对使用者的开关窗行为已经有了丰富的学术成果，但是针对夏热冬暖气候区的研究还比较缺乏。在深圳地区对办公室工作人员的开关窗行为进行问卷调研，使用SPSS软件分析最能影响使用者开窗行为的因素，挖掘该地区使用者与建成环境之间的相互关系，以促进建筑及窗户设计策略的理性化和科学化。
关键词：主观评价 办公建筑 开窗行为 深圳
尊敬的用户，本篇文章需要2元，点击支付交费后阅读
限时优惠福利：领取VIP会员
全年期刊、VIP视频免费!
全年期刊、VIP视频免费!
参考文献[1]Zheng H,Li F,Cai H,et al.Non-intrusive measurement method for the window opening behavior[J].Energy and Buildings,2019,197:171-176.
[2] Yao M,Zhao B.Window opening behavior of occupants in residential buildings in Beijing[J].Building and Environment,2017,124:441-449.
[3]Haldi F,Robinson D.Interactions with window openings by office occupants[J].Building and Environment,2009,44:2378-2395.
[4] Zhang Y,Barrett P.Factors influencing the occupants'window opening behaviour in a naturally ventilated office building[J].Building and Environment,2012,50:125-134.
[5] Wei Y,Yu H,Pan S,et al.Comparison of different window behavior modeling approaches during transition season in Beijing,China[J].Building and Environment,2019,157:1-15.
[6] Jones R V,Fuertes A,Gregori E,et al.Stochastic behavioural models of occupants'main bedroom window operation for UK residential buildings[J].Building and Environment,2017,118:144-158.
[7]Tahmasebi F,Mahdavi A.An inquiry into the reliability of window operation models in building performance simulation[J].Building and Environment,2016,105:343-357.
[8]孟庆龙,郭雪丽,熊樱子,等.基于BP神经网络的办公建筑人员开窗行为预测方法[J].建筑科学,2018,34(10):103-108.
[9]张剑.广州地区办公建筑开窗使用者行为与主观评价研究[D].广州:华南理工大学,2012.
[10]张剑.建筑朝向和高度对办公室使用者开窗通风行为的影响研究[J].华中建筑,2011,29(8):50-53.
[11]Pan S,Xiong Y,Han Y,et al.A study on influential factors of occupant window-opening behavior in an office building in China[J].Building and Environment,2018,133:41-50.
[12]Wei S,Buswell R,Loveday D.Factors affecting'endof-day'window position in a non-air-conditioned office building[J].Energy and Buildings,2013,62:87-96.
[13]D'oca S,Hong T.A data-mining approach to discover patterns of window opening and closing behavior in offices[J].Building and Environment,2014,82:726-739.
[14]张剑.广州地区办公室使用者日常利用自然通风的行为模式研究[J].华中建筑,2011,29(4):27-30.
[15]潘嵩,许传奇,魏绅,等.北京某高校办公建筑人员开窗行为研究[J].建筑科学,2015,31(10):212-217.
[16]Jeong B,Jeong J,Park J S.Occupant behavior regarding the manual control of windows in residential buildings[J].Energy and Buildings,2016,127:206-216.
[17]Cali D,Wesseling M T,Muller D.WinProGen:A Markov-Chain-based stochastic window status profile generator for the simulation of realistic energy performance in buildings[J].Building and Environment,2018,136:240-258.
[18]Li N,Li J,Fan R,et al.Probability of occupant operation of windows during transition seasons in office buildings[J].Renewable Energy,2015,73:84-91.
[19]陈伟煌,李司秀.夏热冬冷地区夏季居民热舒适调查及开窗行为模型研究[J].制冷,2011,30(2):76-81.
[2] Yao M,Zhao B.Window opening behavior of occupants in residential buildings in Beijing[J].Building and Environment,2017,124:441-449.
[3]Haldi F,Robinson D.Interactions with window openings by office occupants[J].Building and Environment,2009,44:2378-2395.
[4] Zhang Y,Barrett P.Factors influencing the occupants'window opening behaviour in a naturally ventilated office building[J].Building and Environment,2012,50:125-134.
[5] Wei Y,Yu H,Pan S,et al.Comparison of different window behavior modeling approaches during transition season in Beijing,China[J].Building and Environment,2019,157:1-15.
[6] Jones R V,Fuertes A,Gregori E,et al.Stochastic behavioural models of occupants'main bedroom window operation for UK residential buildings[J].Building and Environment,2017,118:144-158.
[7]Tahmasebi F,Mahdavi A.An inquiry into the reliability of window operation models in building performance simulation[J].Building and Environment,2016,105:343-357.
[8]孟庆龙,郭雪丽,熊樱子,等.基于BP神经网络的办公建筑人员开窗行为预测方法[J].建筑科学,2018,34(10):103-108.
[9]张剑.广州地区办公建筑开窗使用者行为与主观评价研究[D].广州:华南理工大学,2012.
[10]张剑.建筑朝向和高度对办公室使用者开窗通风行为的影响研究[J].华中建筑,2011,29(8):50-53.
[11]Pan S,Xiong Y,Han Y,et al.A study on influential factors of occupant window-opening behavior in an office building in China[J].Building and Environment,2018,133:41-50.
[12]Wei S,Buswell R,Loveday D.Factors affecting'endof-day'window position in a non-air-conditioned office building[J].Energy and Buildings,2013,62:87-96.
[13]D'oca S,Hong T.A data-mining approach to discover patterns of window opening and closing behavior in offices[J].Building and Environment,2014,82:726-739.
[14]张剑.广州地区办公室使用者日常利用自然通风的行为模式研究[J].华中建筑,2011,29(4):27-30.
[15]潘嵩,许传奇,魏绅,等.北京某高校办公建筑人员开窗行为研究[J].建筑科学,2015,31(10):212-217.
[16]Jeong B,Jeong J,Park J S.Occupant behavior regarding the manual control of windows in residential buildings[J].Energy and Buildings,2016,127:206-216.
[17]Cali D,Wesseling M T,Muller D.WinProGen:A Markov-Chain-based stochastic window status profile generator for the simulation of realistic energy performance in buildings[J].Building and Environment,2018,136:240-258.
[18]Li N,Li J,Fan R,et al.Probability of occupant operation of windows during transition seasons in office buildings[J].Renewable Energy,2015,73:84-91.
[19]陈伟煌,李司秀.夏热冬冷地区夏季居民热舒适调查及开窗行为模型研究[J].制冷,2011,30(2):76-81.
Study on the Window Use Behavior and Influencing Factors of Office Buildings in Warm Winter and Hot Summer Areas
Abstract: Natural ventilation by windows opening behavior of office buildings can not only improve the indoor environment, but also reduce building energy consumption to some extent. International scholars have made rich academic achievements on users' window opening behavior. However, there is still a lack of research on window switching in hot summer and warm winter zone. This paper intends to conduct a questionnaire survey on the influencing factors of office workers' window switching behavior in Shenzhen. SPSS was used to explore the factors that affect users' window-opening behavior most and the interrelationship between the users and the built environment in the area, to promote the rationalization of architectural, window design strategies and scientific decision-making.
Keywords: subjective evaluation; office building; window opening behavior; Shenzhen;
1090
13
13