Multi-variable Optimization of an office building in Tehran using Genetic Algorithms

Buildings are responsible for about ۴۰% of energy usage in world, so it is an important issue to design a building In energy efficient way especially in first conceptual phases. In this paper our goal was to design a building in a way energy usage of it be optimized. First a model was created in rhinoceros and its parametric plug in grasshopper, then its energy performance was simulated in honeybee platforms. Four variables which have impact on the building’s energy demand have been optimized with Galapagos, a Genetic algorithm optimizer. Three of them were form-relate d one was thermal-characteristic parameter . Optimization results show the impact of variable parameters on building’s energy demand. Best answer could improve total energy demand ۲۰% among the others. Among Windows types which was variable, lower U value has noticeable impact on decreasing energy demand. Also it seems that thermal character variable has more impact than the others on energy efficiency

کلیدواژه ها:

optimization ، energy efficiency ، generic algorithm ، multi-variable ، form-related parameters ، thermal characteristic parameters .