Trade-off Method to Assess the Interaction Between Lightshelves and Complex Ceiling Forms for Optimized Daylighting Performance

摘要

Recent research has shown that ceiling geometry can greatly affect the illuminance levels and daylightinguniformity in indoor spaces. Usually, modeling and evaluating the daylighting performance of flatceilings and light shelves can be done easily. However, with the increase of sophisticated and complexparametric forms of suspended ceilings, architects have been struggling to adequately assess their daylightperformance. This is mainly due to the time and effort required to examine all parameters within the ceilingform. Additionally, most available architectural tools for examining parametric ceilings are based on theuse of Genetic Algorithm (GA), which proves to be an efficient way to search for an optimal solution butlacks the ability of providing the designer with multiple sets of alternatives for better decision making. Inresponse, this paper examines a workflow based on the use of the Pareto principle that has been developedin order to assess the ceiling parameters and variables. It then ranks them according to their performancein search for optimized configurations that allow architects and designers a trade-off in the early designstage. Then, the paper will introduce a parameters elimination method to decrease the time required fordaylighting simulations when new parameters are added to a ceiling that has been analyzed.