Multi-Objective Optimization for Daylight Retrofit

In sustainable building design, daylight improves occupants' wellbeing and reduces electric lighting use, but glazed areas can increase energy consumption for heating and cooling. Conflicting objectives such as daylight and energy consumption are the primary motivation behind multi-objective optimization. This paper presents the multi-objective optimization problem of maximizing daylight availability and minimizing whole energy consumption for the daylight retrofit of Tallinn University of Technology assembly hall, currently windowless. We present benchmark results of six different multi-objective algorithms and analyze the solutions on the best-known Pareto front. The majority of the analyzed solutions allow for adequate daylight provision of the building without additional energy consumption. Results of daylight and energy simulations for the analyzed solutions, are presented and discussed.