Goal-Based Daylighting Design Using an Interactive Simulation Method

This paper proposes an interactive goal-based method for designing day lit buildings. The lighting simulation tool which supports this process is a hybrid global illumination rendering method which efficiently computes annual daylighting metrics. The goal-based method uses a knowledge base populated using a set of previously completed simulations that quantify the effects of various facade design modifications. The knowledge base guides a simple algorithm over an iterative design process. The current knowledge base includes information about window size, shape, location on the facade, and simple shading devices. Three case studies are given in which this iterative optimization method was applied; all resulted in improved daylighting performance.

[1]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[2]  Ellen Yi-Luen Do,et al.  Light Pen Sketching light in 3 , 2003 .

[3]  B. Paule,et al.  DIAL : a new computer-based daylighting design tool , 1997 .

[4]  Barbara Cutler,et al.  Interactive selection of optimal fenestration materials for schematic architectural daylighting design , 2008 .

[5]  Marilyne Andersen,et al.  A Simulation-Based Expert System for Daylighting Design , 2009 .

[6]  Donald P. Greenberg,et al.  Modeling the interaction of light between diffuse surfaces , 1984, SIGGRAPH.

[7]  P. Torcellini,et al.  A Literature Review of the Effects of Natural Light on Building Occupants , 2002 .

[8]  Christoph F. Reinhart,et al.  Findings from a survey on the current use of daylight simulations in building design , 2006 .

[9]  C. Reinhart,et al.  A SIMULATION-BASED REVIEW OF THE UBIQUITOUS WINDOW-HEAD-HEIGHT TO DAYLIT ZONE DEPTH RULE-OF-THUMB , 2005 .

[10]  Gregory J. Ward,et al.  The RADIANCE lighting simulation and rendering system , 1994, SIGGRAPH.

[11]  Christoph F. Reinhart,et al.  Current daylighting design practice: a survey , 2008 .

[12]  Tina Sarawgi.  Survey on the Use of Lighting Design Software in Architecture and Interior Design Undergraduate Education , 2006 .

[13]  Marilyne Andersen,et al.  Graphical Representation of Climate-Based Daylight Performance to Support Architectural Design , 2008 .

[14]  M. Rashid,et al.  A Review of the Empirical Literature on the Relationships Between Indoor Environment and Stress in Health Care and Office Settings , 2008 .

[15]  Barbara Cutler,et al.  An intuitive daylighting performance analysis and optimization approach , 2008 .

[16]  Franklin C. Crow,et al.  Shadow algorithms for computer graphics , 1977, SIGGRAPH.