The Effect of Geometry Parameters on Energy and Thermal Performance of School Buildings in Cold Climates of China

This paper discusses the role of geometry parameters including building shape, window to wall ratio, room depth, and orientation on the energy use and thermal comfort of school buildings in cold climates of China. The annual total energy demand and summer thermal discomfort time were compared through computer simulations with DesignBuilder. Furthermore, a questionnaire was conducted that related to the students’ subjective preference for various building geometry parameters. Results showed that a maximum of 13.6% of energy savings and 3.8% of thermal comfort improvement when compared to the reference case could be achieved through variations in geometry parameters. The H shape performed the best when the building thermal performance and students’ preferences were considered, as well as the various design options for architects. Window to wall ratio, room depth, and orientation should also be carefully addressed in terms of different building types. The results of this study can serve as a reference for architects and school managers in the early design stages of schools in cold climates of China.

[1]  Jing Liu,et al.  Building energy efficiency in rural China , 2014 .

[2]  Junjie Chen,et al.  Energy consumption of 270 schools in Tianjin, China , 2015 .

[3]  Anxiao Zhang,et al.  Optimization of thermal and daylight performance of school buildings based on a multi-objective genetic algorithm in the cold climate of China , 2017 .

[4]  Michael J. Ostwald,et al.  Lived space and geometric space: comparing people’s perceptions of spatial enclosure and exposure with metric room properties and isovist measures , 2017 .

[5]  R. Küller,et al.  Health and behavior of children in classrooms with and without windows , 1992 .

[6]  Paola Boarin,et al.  Post-occupancy evaluation of a historic primary school in Spain: Comparing PMV, TSV and PD for teachers' and pupils' thermal comfort , 2017 .

[7]  N. Digert,et al.  Daylighting in Schools An Investigation into the Relationship Between Daylighting and Human Performance Condensed Report , 1999 .

[8]  Tian Bo Study on the Winter Indoor Thermal Environment of University's Classroom in Xi'an Region , 2009 .

[9]  Moncef Krarti,et al.  Impact of building shape on thermal performance of office buildings in Kuwait , 2009 .

[10]  C. Hutt,et al.  Do children find complex patterns interesting or pleasing? , 1974, Child development.

[11]  Nurdan Yildirim,et al.  Photovoltaic system assessment for a school building , 2017 .

[12]  Moncef Krarti,et al.  A simplified analysis method to predict the impact of shape on annual energy use for office buildings , 2007 .

[13]  E. Rosch Cognitive Representations of Semantic Categories. , 1975 .

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

[15]  John Peponis,et al.  Building types and built forms , 2015 .

[16]  Lorenzo García-Moruno,et al.  Visual impact assessment of colour and scale of buildings on the rural landscape , 2016 .

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

[18]  T. Metz,et al.  Ecology of the Building Geometry - Environmental performance of different building shape , 2007 .

[19]  Koen Steemers,et al.  Building form and environmental performance: archetypes, analysis and an arid climate , 2003 .

[20]  Majdi M. Alkhresheh Preference for void-to-solid ratio in residential facades , 2012 .

[21]  I. G. Capeluto,et al.  Climatic considerations in school building design in the hot-humid climate for reducing energy consumption , 2009 .

[22]  A. Dimoudi,et al.  Energy monitoring and conservation potential in school buildings in the C' climatic zone of Greece , 2009 .

[23]  Xin Liu,et al.  Energy consumption comparison analysis of high energy efficiency office buildings in typical climate zones of China and U.S. based on correction model , 2014 .

[24]  Hanan Taleb,et al.  Developing sustainable residential buildings in Saudi Arabia: A case study , 2011 .

[25]  Suzanne C. Scott Visual Attributes Related to Preference in Interior Environments , 1993 .

[26]  Darren George,et al.  SPSS for Windows Step by Step: A Simple Guide and Reference , 1998 .

[27]  Karen B. Schloss,et al.  Visual aesthetics and human preference. , 2013, Annual review of psychology.

[28]  R. Dedear Developing an adaptive model of thermal comfort and preference , 1998 .

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

[30]  Doris Catharine Cornelie Knatz Kowaltowski,et al.  An evaluation method for school building design at the preliminary phase with optimisation of aspects of environmental comfort for the school system of the State São Paulo in Brazil , 2007 .

[31]  Mark Stanley Rea,et al.  The IESNA lighting handbook : reference & application , 2000 .

[32]  C. D. Green,et al.  All That Glitters: A Review of Psychological Research on the Aesthetics of the Golden Section , 1995, Perception.

[33]  Bin Su Impacts of building design factors on Auckland school energy consumptions , 2013 .

[34]  Zahra Sadat Zomorodian,et al.  Architectural Design Optimization of School Buildings for Reduction of Energy Demand in Hot & Dry Climates of Iran , 2013 .

[35]  R. Kaplan,et al.  The Experience of Nature: A Psychological Perspective , 1989 .

[36]  Gustavo Barea,et al.  Courtyards as a passive strategy in semi dry areas. Assessment of summer energy and thermal conditions in a refurbished school building , 2014 .

[37]  Chunhua Sun,et al.  Analysis and Numerical Simulation of Indoor Thermal Environments in Some University Classrooms , 2010 .

[38]  Jianing Zhao,et al.  Thermal comfort for naturally ventilated residential buildings in Harbin , 2010 .

[39]  Bassam Moujalled,et al.  Comparison of thermal comfort algorithms in naturally ventilated office buildings , 2008 .