Daylighting Based Parametric Design Exploration of 3D Facade Patterns

A building facade plays an important role of reducing artificial lighting by introducing natural light into the interior space. A majority of research and current technology heavily focuses on the optimization of window properties such as the size, location, and glazing with the consideration of external shading device as well as the building wall in order to obtain appropriate natural lit space. In the present work, we propose a 3-dimensional approach that can explore the trade-offs between two objectives, daylight performance and electricity generation, by means of paramedic modeling and multi-objective optimization algorithm. The case study was simulated under the environmental setting of the geographical location of Incheon, Korea without any urban context. Using the proposed methods, 50 pareto-front optimal solutions were derived and investigated based on the achieved daylighting and generated electricity.

[1]  Theocharis Tsoutsos,et al.  Assessment of fixed shading devices with integrated PV for efficient energy use , 2012 .

[2]  Mario Sassone,et al.  The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis , 2015 .

[3]  Matthias Haase,et al.  Optimizing the configuration of a façade module for office buildings by means of integrated thermal and lighting simulations in a total energy perspective , 2013 .

[4]  David Gerber,et al.  Building Skin Intelligence: A parametric and algorithmic tool for daylighting performance design integration , 2011 .

[5]  Rudi Stouffs,et al.  Performative skins for passive climatic comfort: A parametric design process , 2012 .

[6]  Francesco Fiorito,et al.  Daylight Design of Office Buildings: Optimisation of External Solar Shadings by Using Combined Simulation Methods , 2015 .

[7]  Robin Drogemuller,et al.  Parametric modelling for the efficient design of daylight strategies with complex geometries , 2013 .

[8]  Teemu Tiainen,et al.  Comparative study of multiple criteria decision making methods for building design , 2012, Adv. Eng. Informatics.

[9]  Buro Happold,et al.  MULTI-OBJECTIVE OPTIMISATION OF THE CONFIGURATION AND CONTROL OF A DOUBLE-SKIN FACADE , 2011 .

[10]  Moncef Krarti,et al.  A simplified method to estimate energy savings of artificial lighting use from daylighting , 2005 .

[11]  Peter Lund,et al.  Multivariate optimization of design trade-offs for solar low energy buildings , 1999 .

[12]  Danny H.W. Li,et al.  An analysis of daylighting performance for office buildings in Hong Kong , 2008 .

[13]  Yuzo Sakamoto,et al.  FACADE DESIGN OPTIMIZATION FOR DAYLIGHT WITH A SIMPLE GENETIC ALGORITHM , 2007 .

[14]  Eckart Zitzler,et al.  HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization , 2011, Evolutionary Computation.

[15]  Ben van Berkel,et al.  DESIGN INNOVATION FROM PV-MODULE TO BUILDING ENVELOPE: ARCHITECTURAL LAYERING AND NON APPARENT REPETITION , 2015 .

[16]  Jonathan A. Wright,et al.  Multi-objective optimization of cellular fenestration by an evolutionary algorithm , 2014 .

[17]  Ayman Hassaan Ahmed Mahmoud,et al.  Parametric-based designs for kinetic facades to optimize daylight performance: Comparing rotation and translation kinetic motion for hexagonal facade patterns , 2016 .

[18]  Rudi Stouffs,et al.  Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms , 2011, Adv. Eng. Informatics.

[19]  Michelle Pak,et al.  Ladybug: A Parametric Environmental Plugin For Grasshopper To Help Designers Create An Environmentally-conscious Design , 2013, Building Simulation Conference Proceedings.

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