Parametric Multi objective Optimization of universities buildings: study of laboratory space in Giza Egypt
DOI:
https://doi.org/10.22399/ijcesen.5166Keywords:
Multi objective optimization, Genetic Algorithms, Energy Efficiency, Higher Education Buildings, Laboratory, EgyptAbstract
In light of the rapid progress in building simulation technology and performance-based parametric design, optimizing building performance is one of the modern concerns that aims to control a number of design variables with a number of objective functions, which helps in finding ideal design solutions through the genetic engine based on genetic algorithms in search, intersection and mutation processes. This research dealt with optimizing laboratory space performance. The research analytical approach of multi-objective performance optimization in international university buildings, to study the methods and approaches that were followed to achieve the required improvement, algorithms used, objectives set and design variables were monitored and analyzed in the study of university buildings and how to improve their performance, the practical approach through the application of methodology deduced from analytical study using Rhino7 ,Grasshopper, and ladybug and Honeybee tools, Wallacie genetic solver used to optimize laboratory performance to optimize the energy use intensity , maximizing thermal comfort and maximizing daylighting and visual comfort the optimum solutions showed energy use minimization by 20 % and enhancing of thermal comfort by 2% and daylighting enhancement by 62% , with balanced solutions
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