Gazi Üniversitesi Fen Bilimleri Dergisi (Sep 2017)
The Performance Evaluation of Solar Control Methods in Buildings: A Multi-Objective Approach
Abstract
In this study, a tool and method that support the analysis of different solar control methods in buildings through a genetic optimization algorithm are proposed. First, eight scenarios of different glazing alternatives and standard shading methods were developed. These scenarios were implemented on a sample building design and the genetic optimization algorithm was run. The algorithm optimizes energy consumption and daylight illumination using an existing energy simulation tool, taking window sizes and shading parameters as variables. Using this algorithm, the building's Pareto solutions are calculated for each scenario. Using these Pareto solutions, a comparative analysis of the different solar control scenarios was made. According to the results obtained in the study, it is possible to achieve energy savings up to 25% and to increase the window size by 123% with optimal solar control methods, without decreasing the daylighting performance of a building. The proposed optimization-based analysis method can support numerical comparative evaluation of different solar control alternatives in the design process.
