Application of a developed adaptive model in the evaluation of thermal comfort in ventilated kindergarten occupied spaces

Abstract In this work the application of a developed adaptive model in the evaluation of thermal comfort in ventilated kindergarten occupied spaces is made. The study, conducted in real conditions, in mediterranean environment for cold and warm thermal conditions is made. The adaptive model is developed in a Kindergarten, using subjective and experimental measurements. Three different trained groups of subjects are used. Each one expressed its thermal subjective response, in different classrooms, for cold and warm thermal conditions. In the study, the classrooms are ventilated by natural airflow, while the indoor playground is ventilated by forced airflow. The natural airflow in the classrooms is measured using tracer gas decreasing concentration. The measurements are made for different window states, from close state to open state. In both warm and cold thermal conditions the simulation is made in real occupation and ventilation conditions. The natural ventilation is promoted, in both thermal conditions, using experimental measurements. In cold thermal conditions the forced airflow is done from the greenhouse to the indoor playground, while in warm thermal conditions the forced airflow is done in the opposite direction. In the thermal comfort level evaluation the developed adaptive model is used, while in the air quality level evaluation the carbon dioxide concentration released by the occupants is used.

[1]  P. O. Fanger,et al.  Thermal comfort: analysis and applications in environmental engineering, , 1972 .

[2]  Claude-Alain Roulet,et al.  A Simple Method Using Tracer Gas to Identify the Main Airflow and Contaminant Paths within a Room , 1991 .

[3]  R. Becker,et al.  Thermal comfort in residential buildings – Failure to predict by Standard model , 2009 .

[4]  Refrigerating,et al.  Ventilation for acceptable indoor air quality : ANSI/ASHRAE Standard 62.1-2013 , 2013 .

[5]  R. Niemelä,et al.  COMPARISON OF THREE TRACER GASES FOR DETERMINING VENTILATION EFFECTIVENESS AND CAPTURE EFFICIENCY , 1991 .

[6]  Baizhan Li,et al.  Occupants' adaptive responses and perception of thermal environment in naturally conditioned university classrooms , 2010 .

[7]  Wei Xu,et al.  An adaptive Predicted Mean Vote (aPMV) model in office , 2010, 2010 International Conference on Mechanic Automation and Control Engineering.

[8]  Marco Filippi,et al.  Thermal comfort in Italian classrooms under free running conditions during mid seasons: Assessment through objective and subjective approaches , 2009 .

[9]  M. Sandberg What is ventilation efficiency , 1981 .

[10]  Gail Brager,et al.  A Standard for Natural Ventilation , 2000 .

[11]  A Auliciems,et al.  Towards a psycho-physiological model of thermal perception , 1981, International journal of biometeorology.

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

[13]  Yogi Goswami,et al.  Transitioning to a Renewable Energy Future , 2004 .

[14]  Standard Ashrae Thermal Environmental Conditions for Human Occupancy , 1992 .

[15]  R. Dedear,et al.  Validation of the predicted mean vote model of thermal comfort in six Australian field studies , 1985 .

[16]  Eusébio Z. E. Conceição,et al.  Energy and thermal comfort management in a kindergarten school building in the South of Portugal in Winter conditions , 2008 .

[17]  Mats Sjöberg,et al.  The use of moments for assessing air quality in ventilated rooms , 1983 .

[18]  Eusébio Z. E. Conceição,et al.  Application of a School Building Thermal Response Numerical Model in the Evolution of the Adaptive Thermal Comfort Level in the Mediterranean Environment , 2010 .

[19]  Susan Roaf,et al.  Pioneering new indoor temperature standards: the Pakistan project , 1996 .

[20]  J. Skotte,et al.  Displacement air flow in a printing plant measured with a rapid response tracer gas system , 1991 .

[21]  Manoj Kumar Singh,et al.  Adaptive thermal comfort model for different climatic zones of North-East India , 2011 .

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

[23]  R. Yao,et al.  A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV) , 2009 .

[24]  C. Bouden,et al.  An adaptive thermal comfort model for the Tunisian context: a field study results , 2005 .

[25]  Eusébio Z. E. Conceição,et al.  Numerical study of thermal response of school buildings in summer conditions , 2006 .

[26]  R. Dear,et al.  Thermal adaptation in the built environment: a literature review , 1998 .