Development of a Window Opening A lgorithm to Predict Occupant Behavior in Japanese Houses

We investigated window opening behaviour and the thermal environment over a period of more than 3 years in the living rooms and bedrooms of dwellings in the Kanto region of Japan. We collected over 32,000 data-samples from 243 residents of 121 homes. The proportion of ‘open window’ in the free running mode is significantly higher than that in the cooling and heating modes. The window opening is related to the indoor or outdoor air temperature. Window opening behaviour as predicted by logistic regression analysis is in agreement with the measured data. These findings can be applied to develop an adaptive algorithm for window opening behaviour in Japanese residences.

[1]  Shinichi Tanabe,et al.  The behavioral characteristic of office workers use of natural ventilation window , 2009 .

[2]  Darren Robinson,et al.  An integrated adaptive model for overheating risk prediction , 2008 .

[3]  Hom B. Rijal,et al.  An algorithm to represent occupant use of windows and fans including situation-specific motivations and constraints , 2011 .

[4]  Joseph Andrew Clarke,et al.  Development of adaptive algorithms for the operation of windows, fans, and doors to predict thermal comfort and energy use in Pakistani buildings , 2008 .

[5]  Joseph Andrew Clarke,et al.  Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings , 2007 .

[6]  Hom B. Rijal,et al.  Understanding occupant behaviour: the use of controls in mixed-mode office buildings , 2009 .

[7]  Michael A. Humphreys,et al.  Updating the adaptive relation between climate and comfort indoors; new insights and an extended database , 2013 .

[8]  S. Roaf,et al.  A survey of thermal comfort in Pakistan toward new indoor temperature standards. , 1994 .

[9]  Hom B. Rijal,et al.  THERMAL COMFORT OF TRADITIONAL NARROW ALLEYS IN AN URBAN AREA : Survey for Nishijin district in Kyoto , 2007 .

[10]  J. B. Dick,et al.  Ventilation Research in Occupied Houses. , 1951 .

[11]  J. F. Nicol,et al.  Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings , 2008 .

[12]  Gail Brager,et al.  Operable windows, personal control and occupant comfort. , 2004 .

[13]  Aizaz Samuel,et al.  Considering the impact of situation-specific motivations and constraints in the design of naturally ventilated and hybrid buildings , 2012 .

[14]  晁 梅干野,et al.  戸建住宅における窓開閉・冷房使用の行動特性と影響要因解析 : 屋外空間の微気候と居住者の開放的な住まい方との関わりに関する研究 その2 , 2005 .

[15]  Harunori Yoshida,et al.  STRUCTURE OF THE CAUSES OF WINDOW OPENING AND CLOSING BEHAVIOR FROM SUMMER TO AUTUMN : Survey on the students in study rooms in university campus , 2002 .

[16]  N. A. Oseland,et al.  Predicted and reported thermal sensation in climate chambers, offices and homes , 1995 .

[17]  K. Steemers,et al.  Time-dependent occupant behaviour models of window control in summer , 2008 .

[18]  Darren Robinson,et al.  On the unification of thermal perception and adaptive actions , 2010 .

[19]  O11-4 Investigation of comfort temperature in naturally ventilated and air condition mode in Japanese houses , 2011 .

[20]  Hom B. Rijal,et al.  Investigation of comfort temperature, adaptive model and the window-opening behaviour in Japanese houses , 2013 .

[21]  Tetsu Kubota.  A FIELD SURVEY ON USAGE OF AIR-CONDITIONERS AND WINDOWS IN APARTMENT HOUSES IN JOHOR BAHRU CITY , 2007 .