Site-specific optimal energy form generation based on hierarchical geometry relation

Abstract The use of computers in architecture has extended beyond computer-aided design (CAD) systems to include dynamic modeling and animation. The use of this technology moves beyond the rendering and refining of ideas to the generation of form. These programs have become collaborators in the creative process. Building simulation offers the potential to provide an alternative method for generating architectural forms. Currently, building simulation tools are used for analysis only, rather than for synthesis. This paper presents an innovative design method to generate building forms utilizing dynamic outdoor conditions to optimize the forms for reducing thermal load. Integration of Computational Fluid Dynamics (CFD) and Energy Simulation (ES) has been used as a first step to more effectively analyze and model buildings and their surroundings, and new optimization technique is proposed to facilitate developing models for synthesis and to generate designs based on performance.

[1]  C. Ratti,et al.  Energy consumption and urban texture , 2005 .

[2]  M. Santamouris,et al.  On the impact of urban climate on the energy consumption of buildings , 2001 .

[3]  Larry Degelman,et al.  Simulation and uncertainty : Weather predictions , 2004 .

[4]  Qingyan Chen,et al.  On approaches to couple energy simulation and computational fluid dynamics programs , 2002 .

[5]  Ardeshir Mahdavi.  A comprehensive computational environment for performance based reasoning in building design and evaluation , 1999 .

[6]  Ian Beausoleil-Morrison,et al.  The adaptive coupling of heat and air flow modelling within dynamic whole-building simulation , 2000 .

[7]  John S. Gero,et al.  A Design Support System Using Analogy , 1992 .

[8]  Chen Qingyan,et al.  Accuracy ― A program for combined problems of energy analysis, indoor airflow, and air quality , 1988 .

[9]  Yun Kyu Yi,et al.  Integrating neural network models with computational fluid dynamics (CFD) for site-specific wind condition , 2011 .

[10]  John S. Gero,et al.  Energy-Conservative Design in Context The Use of Multi-Criteria Decision Methods , 1984 .

[11]  S. Oxizidis,et al.  Typical Weather Years and the Effect of Urban Microclimate on the Energy Behaviour of Buildings and HVAC Systems , 2007 .

[12]  Godfried Augenbroe,et al.  Advanced Building Simulation , 2004 .

[13]  E Ery Djunaedy,et al.  External coupling between building energy simulation and computational fluid dynamics , 2005 .

[14]  Yun Kyu Yi,et al.  Decision support and design evolution: integrating genetic algorithms, CFD and visualization , 2005 .

[15]  Xianting Li,et al.  Numerical analysis of outdoor thermal environment around buildings , 2005 .

[16]  Joseph Andrew Clarke,et al.  Energy Simulation in Building Design , 1985 .

[17]  Antoine Picon,et al.  Architecture and the sciences : exchanging metaphors , 2003 .

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

[19]  Leslie K. Norford,et al.  Genetic Algorithms for Optimization of Building Envelopes and the Design and Control of HVAC Systems , 2003 .

[20]  G. Z. Brown.  Desirable interface characteristics of knowledge-based energy software used by architects , 1990 .

[21]  S. Kato,et al.  Study on outdoor thermal environment of apartment block in Shenzhen, China with coupled simulation of convection, radiation and conduction , 2004 .

[22]  Ali M. Malkawi,et al.  An AI-based shell for linking thermal and form-making considerations , 1999 .

[23]  A. Malkawi,et al.  Optimizing building form for energy performance based on hierarchical geometry relation , 2009 .

[24]  K. Petzold,et al.  Zeim einfluss von Form und Grösse der Gebäude auf den heizenergiebedarf , 1983 .

[25]  Qingyan Chen,et al.  STRATEGIES FOR COUPLING ENERGY SIMULATION AND COMPUTATIONAL FLUID DYNAMICS PROGRAMS , 2001 .

[26]  John S. Gero,et al.  Tradeoff diagrams for the integrated design of the physical environment in buildings , 1980 .

[27]  Yun Kyu Yi,et al.  Site-specific prediction for energy simulation by integrating computational fluid dynamics , 2008 .

[28]  Wojciech Marks,et al.  MULTICRITERIA OPTIMISATION OF SHAPE OF ENERGY-SAVING BUILDINGS , 1997 .