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A shape-grammar for double skin facades: A basis for generating context sensitive facades solution

In developed countries, energy saving is a high-priority concern. Therefore, an extensive set of energy-efficient measures and features are being increasingly implemented in all areas. One of the most important methods of energy saving in a building is by carefully designing its façade. A ‘double skin façade’ (DSF) is considered one of the best options in managing the interaction between the outdoors and the indoor spaces. The amount of energy saved depends upon the climate and the design that has been chosen. The design of the DSF involves decisions on different parameters such as geometric parameters, glass selection, ventilation strategy, shading, daylighting, aesthetics, wind loads, and maintenance and cleaning cost expectations. Combination of these different parameters may result in multiple types of DSF. The motivation for this research was the need for a system that can present all of the design alternatives, so that it can be used in different analytical studies (e.g., energy analysis or cost analysis).This Project aims to use shape grammar as a methodology to assist design decisions regarding the DSFs shapes. In this study two of the most common ways of classification of DSFs (i.e., based on geometry of the air cavity and based on ventilation mode) are used to generate alternative DSF shape designs. The results of this study can be integrated with energy simulation to calculate the energy demand of each design and consequently selecting the most efficient DSF system in each case.

Project type: 
Class
Project duration: 
August, 2016 to December, 2016