Evaluation of Daylight Availability for Energy Savings

Dynamic daylight simulations are very useful instruments in daylighting design process. They allow an in depth analysis of indoor daylight availability levels and define if they are adequate to perform a particular visual task. Their results can be used to design shading devices or lighting control systems and compare different technical solutions. The use of these simulations is likely to spread in the common design practice since some regulations and green building rating systems suggest their use. This paper presents dynamic daylight simulation results related to an open-plan office, performed with Autodesk 3ds Max Design ® , which is a calculation software validated by recent researches. It is not used in academic context but it is very widespread between technicians for photorenderings production purposes. The goal of this research is to demonstrate the functionality of this software also in dynamic daylight simulations field and propose an analysis' methodology to use it.

[1]  An-Seop Choi,et al.  The characteristics of photosensors and electronic dimming ballasts in daylight responsive dimming systems , 2005 .

[2]  John Mardaljevic,et al.  Validation of a lighting simulation program under real sky conditions , 1995 .

[3]  Christoph F. Reinhart,et al.  The simulation of annual daylight illuminance distributions — a state-of-the-art comparison of six RADIANCE-based methods , 2000 .

[4]  John Mardaljevic,et al.  The BRE-IDMP dataset: a new benchmark for the validation of illuminance prediction techniques , 2001 .

[5]  John Mardaljevic,et al.  Simulation of annual daylighting profiles for internal illuminance , 2000 .

[6]  Svend Svendsen,et al.  The effect of different weather data sets and their resolution on climate-based daylight modelling , 2013 .

[7]  Aris Tsangrassoulis,et al.  Quantifying energy savings in daylight responsive systems : The role of dimming electronic ballasts , 2008 .

[8]  Laura Bellia,et al.  The role of weather data files in Climate-based Daylight Modeling , 2015 .

[9]  Jan L.M. Hensen,et al.  State of the art in lighting simulation for building science: a literature review , 2012 .

[10]  James A. Love,et al.  The Vertical-to-Horizontal Illuminance Ratio: A New Indicator of Daylighting Performance , 1994 .

[11]  Mohammad Yusri Hassan,et al.  A review on lighting control technologies in commercial buildings, their performance and affecting factors , 2014 .

[12]  Ahmed A. Freewan Maximizing the Performance of Laser Cut Panel by Interaction of Ceiling Geometries and Different Aspect Ratio , 2014 .

[13]  F. Topalis,et al.  A CRITICAL REVIEW OF SIMULATION TECHNIQUES FOR DAYLIGHT RESPONSIVE SYSTEMS , 2005 .

[14]  Konstantinos Papamichael,et al.  A method for simulating the performance of photosensor-based lighting controls , 2002 .

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

[16]  Christoph F. Reinhart,et al.  Lightswitch-2002: a model for manual and automated control of electric lighting and blinds , 2004 .

[17]  Christoph F. Reinhart,et al.  Experimental Validation of Autodesk® 3ds Max® Design 2009 and Daysim 3.0 , 2009 .

[18]  Lisa Heschong,et al.  Approved Method: IES Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE) , 2012 .

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

[20]  John Mardaljevic,et al.  Useful daylight illuminance: a new paradigm for assessing daylight in buildings , 2005 .

[21]  Christoph F. Reinhart,et al.  Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds , 2001 .

[22]  Aris Tsangrassoulis,et al.  The role of spectral response of photosensors in daylight responsive systems , 2008 .