Use of adaptive actions and thermal comfort in a naturally ventilated office

A naturally ventilated office building in Alameda, CA with operable windows and ceiling fans was monitored from Oct 2011 to Oct 2012. Physical environmental parameters such as dry-bulb air temperature, humidity, CO2 levels, outdoor wind speed, hourly window positions, heater settings and fan settings were recorded. Occupants were surveyed regularly over a period of one year about their current thermal comfort, thermal acceptability, air movement satisfaction, clothing and noise satisfaction. Occupants wore clothing with a clo value of between 0.5 – 0.6 during summer, and 0.7 – 0.8 during winter. The clo value of the occupants clothing was most closely correlated with the outdoor running mean temperature. Occupants start opening windows when the outdoor is at 16 °C. Window opening was strongly related with occupant’s arrival and outdoor temperature. Fans use was best explained by indoor temperature. Fans were typically turned on during the summer at indoor temperatures above 26 °C. Occupants voted that the thermal environments in the building were acceptable 98% of the time during the year-long survey period.

[1]  Qihong Deng,et al.  Human thermal adaptive behaviour in naturally ventilated offices for different outdoor air temperatures: A case study in Changsha China , 2012 .

[2]  Darren Robinson,et al.  On the behaviour and adaptation of office occupants , 2008 .

[3]  T. Gotoa,et al.  Long-term field survey on thermal adaptation in office buildings in Japan , 2007 .

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

[5]  Darren Robinson,et al.  Interactions with window openings by office occupants , 2009 .

[6]  Stefano Schiavon,et al.  Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures , 2013 .

[7]  J. F. Nicol Characterising occupant behaviour in buildings : towards a stochastic model of occupant use of windows, lights, blinds, heaters and fans , 2001 .

[8]  Gail Brager,et al.  Expectations of indoor climate control , 1996 .

[9]  Gail Brager,et al.  Developing an adaptive model of thermal comfort and preference , 1998 .

[10]  Sebastian Herkel,et al.  Towards a model of user behaviour regarding the manual control of windows in office buildings , 2008 .

[11]  Michael A. Humphreys,et al.  ADAPTIVE THERMAL COMFORT AND SUSTAINABLE THERMAL STANDARDS FOR BUILDINGS , 2002 .

[12]  R. Judkoff,et al.  Lessons Learned from Case Studies of Six High-Performance Buildings , 2006 .

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

[14]  Li Shao,et al.  WINDOW OPENING BEHAVIOUR IN A NATURALLY VENTILATED SCHOOL , 2010 .

[15]  Bjarne W. Olesen,et al.  Window opening behaviour modelled from measurements in Danish dwellings , 2013 .