Transition Portal for daylighting calculations in early phase design

Abstract Daylighting studies are becoming increasingly important for early stage design of buildings and their facades. As architects generate increasingly complex building models in early phase design, this necessity for daylighting simulations is growing. Unfortunately, simulation models used for daylighting analysis are often over-simplified to reduce computation time, and these models tend not to simulate sufficient results for accurate facade studies and room detail. We present an accurate, easy-to-use, interactive, physically-based daylighting Transition Portal simulation method for design and analyses for daylighting in early phase design. The Transition Portal can enable comprehensive visual interfaces for building designers yielding global illumination solutions for their design by leveraging a radiosity based approach to calculate daylighting illumination studies. This novel method is significantly faster and more accurate than existing early design simulation techniques. These procedures can be used to determine the illumination at any specific point in time or space, or averaged on a monthly or yearly basis for any given weather model. After a priori computations, solutions at any time step can be obtained in a few milliseconds on modern computer workstations.

[1]  J. Jonides,et al.  The Cognitive Benefits of Interacting With Nature , 2008, Psychological science.

[2]  R. Simons,et al.  Stress recovery during exposure to natural and urban environments , 1991 .

[3]  M. Nikolopoulou,et al.  Sky view factor as predictor of solar availability on building façades , 2018, Solar Energy.

[4]  Donald P. Greenberg,et al.  Modeling the interaction of light between diffuse surfaces , 1998 .

[5]  Anastasios I. Dounis,et al.  Advanced control systems engineering for energy and comfort management in a building environment--A review , 2009 .

[6]  Hussain H. Alzoubi,et al.  Assessment of building façade performance in terms of daylighting and the associated energy consumption in architectural spaces: Vertical and horizontal shading devices for southern exposure facades , 2010 .

[7]  Alexander Wilkie,et al.  An analytic model for full spectral sky-dome radiance , 2012, ACM Trans. Graph..

[8]  Donald P. Greenberg,et al.  FAST COMPUTATION OF INCIDENT SOLAR RADIATION FROM PRELIMINARY TO FINAL BUILDING DESIGN , 2011 .

[9]  Sumanta N. Pattanaik,et al.  Linear Radiosity with Error Estimation , 1995, Rendering Techniques.

[10]  Kazufumi Kaneda,et al.  Modeling of Skylight and Rendering of Outdoor Scenes , 1993, Comput. Graph. Forum.

[11]  J. Michalsky,et al.  Modeling daylight availability and irradiance components from direct and global irradiance , 1990 .

[12]  J. Michalsky,et al.  All-weather model for sky luminance distribution—Preliminary configuration and validation , 1993 .

[13]  Donald P. Greenberg,et al.  Fast computer graphics techniques for calculating direct solar radiation on complex building surfaces , 2012 .

[14]  Derek Phillips,et al.  Daylighting: Natural Light in Architecture , 2004 .

[15]  Nick Baker,et al.  Daylight Design of Buildings: A Handbook for Architects and Engineers , 2002 .

[16]  Ralph L Knowles,et al.  The solar envelope: its meaning for energy and buildings , 2003 .

[17]  Chris C.S. Lau,et al.  Overcast sky conditions and luminance distribution in Hong Kong , 2004 .

[18]  Leonidas J. Guibas,et al.  Optimally combining sampling techniques for Monte Carlo rendering , 1995, SIGGRAPH.

[19]  Stanislav Darula,et al.  Parametric definition of the daylight climate , 2002 .

[20]  G. Papadakis,et al.  An experimental investigation of the effect of shading with plants for solar control of buildings , 2001 .

[21]  Y. Koga,et al.  Models of sky radiance distribution and sky luminance distribution , 2004 .

[22]  R. McCluney Awning shading and algorithm for window energy studies , 1986 .

[23]  P. R. Tregenza,et al.  Guide to recommended practice of daylight measurement , 1994 .

[24]  Claude Puech,et al.  Radiosity and global illumination , 1994 .

[25]  Donald P. Greenberg,et al.  A radiosity method for non-diffuse environments , 1986, SIGGRAPH.

[26]  Marc Fontoynont,et al.  Daylight Performance of Buildings , 1999 .

[27]  Richard Perez,et al.  Modeling Skylight Angular Luminance Distribution from Routine Irradiance Measurements , 1993 .

[28]  Donald P. Greenberg,et al.  The hemi-cube: a radiosity solution for complex environments , 1985, SIGGRAPH.

[29]  Donald P. Greenberg,et al.  A framework for the experimental comparison of solar and skydome illumination , 2014, ACM Trans. Graph..

[30]  G. W. Larson,et al.  Rendering with radiance - the art and science of lighting visualization , 2004, Morgan Kaufmann series in computer graphics and geometric modeling.

[31]  Werner Purgathofer,et al.  A Critical Review of the Preetham Skylight Model , 2007 .

[32]  Donald P. Greenberg,et al.  Radiosity: A method for computing global illumination , 1986, The Visual Computer.

[33]  Edna Shaviv,et al.  SHADING: A design tool for analyzing mutual shading between buildings , 1994 .

[34]  Christoph F. Reinhart,et al.  Standard daylight coefficient model for dynamic daylighting simulations , 2008 .

[35]  Kazufumi Kaneda,et al.  Method for Calculation of Sky Light Luminance Aiming at an Interactive Architectural Design , 1996, Comput. Graph. Forum.

[36]  R. Knowles Energy and Form: An Ecological Approach to Urban Growth , 1974 .

[37]  Turner Whitted,et al.  An improved illumination model for shaded display , 1979, SIGGRAPH Courses.

[38]  Christoph F. Reinhart,et al.  Parallel Multiple‐Bounce Irradiance Caching , 2016, Comput. Graph. Forum.

[39]  Peter R. Atherton,et al.  Hidden surface removal using polygon area sorting , 1977, SIGGRAPH.

[40]  R. Compagnon Solar and daylight availability in the urban fabric , 2004 .

[41]  Baruch Givoni,et al.  Comfort, climate analysis and building design guidelines , 1992 .

[42]  John Mardaljevic,et al.  Dynamic Daylight Performance Metrics for Sustainable Building Design , 2006 .

[43]  Saeed Banihashemi,et al.  Daylighting and visual comfort of oriental sun responsive skins: A parametric analysis , 2018 .

[44]  David E. Culler,et al.  Poster Abstract: Well-Connected Microzones for Increased Building Efficiency and Occupant Comfort , 2015, BuildSys@SenSys.

[45]  Joakim Eriksson,et al.  Integrating building automation systems and wireless sensor networks , 2007, 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007).

[46]  Dani Lischinski,et al.  Bounds and error estimates for radiosity , 1994, SIGGRAPH.

[47]  R. Ulrich Visual landscapes and psychological well‐being , 1979 .