Multivariate Optimization of PCM and Insulation Layer Thickness for a Residential Building- Case Study of Iran

A multivariate genetic algorithm is used in order to find the optimum thickness of the insulation and BioPCM layer in typical residential building. The annual thermal simulations are done by EnergyPlus for different climatic regions of Iran. Tehran, Isfahan, Shiraz, Bandar Abbas, Yazd and Tabriz were selected for simulations. The fitness function is the total cost of the building throughout its operation years. The optimum values for BioPCM and Insulation Layer are calculated for different values of present worth factor which accounts for different scenarios regarding the economic outlook of the country. Results show that the optimum value for BioPCM thickness is zero for all cases. The optimum value of Insulation layer varies significantly by region and the present worth factor. In cold regions, the optimum thickness was found to be two times higher than the conventional thickness while in southern parts of the country, this value was approximately zero. Also, the Total cost function for optimum condition showed a linear relation with the present worth factor.