A parametric approach to the bioclimatic design of large scale projects: The case of a student housing complex

Abstract Advanced parametric processes enable the exploration of a wide range of design intentions and the generation of alternative project configurations. A novel parametric approach that integrates climatic and site data into a dynamic model of a large building project, to support architectural decisions in early design stages, is presented. Bioclimatic considerations that involve solar radiation analysis and computational fluid dynamic (CFD)-based wind flow simulations have been integrated into the parametric model, in order to explore the interaction of the geometry of the proposed buildings with the solar exposure and the prevailing winds in the area throughout the year. A new student housing complex on the campus of the University of Patras, Greece, was used as a test-bed for experimentation with the developed design algorithms that link local climatic data with the site topography and the basic geometric features of the buildings on the site. The parametric process and the design algorithms were particularly useful in the early design stage, during which various arrangements of the buildings on the site were studied, in order to optimize their environmental performance.

[1]  Yoshihide Tominaga,et al.  AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings , 2008 .

[2]  Alexander Koutamanis,et al.  Possibilities and limitations of CFD simulation for indoor climate analysis , 2000 .

[3]  Wong Nyuk Hien,et al.  Microclimatic modeling of the urban thermal environment of Singapore to mitigate urban heat island , 2008 .

[4]  Robert Aish,et al.  Multi-level Interaction in Parametric Design , 2005, Smart Graphics.

[5]  A. John Mallinckrodt,et al.  Computational Fluid Dynamics: An Introduction , 2012 .

[6]  Clive A. J. Fletcher,et al.  Computational Fluid Dynamics: An Introduction , 1988 .

[7]  Corso Di Laurea,et al.  WIND ENERGY RESOURCE EVALUATION IN A SITE OF CENTRAL ITALY BY CFD SIMULATIONS , 2007 .

[8]  Zhiqiang Zhai,et al.  Solution characters of iterative coupling between energy simulation and CFD programs , 2003 .

[9]  Yoshihide Tominaga,et al.  Cooperative project for CFD prediction of pedestrian wind environment in the Architectural Institute of Japan , 2007 .

[10]  Akashi Mochida,et al.  Prediction of wind environment and thermal comfort at pedestrian level in urban area , 2006 .

[11]  Lai Choo Malone-Lee,et al.  COMPUTATIONAL FLUID DYNAMICS FOR URBAN DESIGN , 2010 .

[12]  A.A.M. Sayigh,et al.  The development of the bioclimatic concept in building design , 1993 .

[13]  Edna Shaviv,et al.  Climatic aspects in urban design—a case study , 2003 .

[14]  E. Ng Policies and technical guidelines for urban planning of high-density cities – air ventilation assessment (AVA) of Hong Kong , 2008, Building and Environment.

[15]  JIN-YEU TSOU APPLYING COMPUTATIONAL FLUID DYNAMICS TO ARCHITEC- TURAL DESIGN DEVELOPMENT Strategy and Implementation , 1998 .

[16]  Sean Hanna,et al.  Beyond simulation: designing for uncertainty and robust solutions , 2010, SpringSim.