S. Abdoly Naser - Department of Architecture, Tabriz Branch, Islamic Azad University, Tabriz, Iran
F. Haghparast - Faculty of Architecture and Urbanism, Tabriz Islamic Art University, Tabriz, Iran
M. Singery - Department of Architecture and Urbanism, Tabriz Branch, Islamic Azad University, Tabriz, Iran
H. Sattari Sarbangholi - Department of Architecture and Urbanism, Tabriz Branch, Islamic Azad University, Tabriz, Iran

According to statistics provided by the Iranian Statistics Center,40% of energy consumption is related to the housing sector. Windows as a component of exterior wall, Responsible for 20-30% of all energy infiltration. Therefore, the purpose of this study, is to optimize residential windows in cold and dry climate of Tabriz in order to reduce energy consumption. The research method is based on simulation with two methods "parametric optimization" and "genetic algorithm". The research tool is Design Builder software. So, the amount of annual gas consumption in the case study was received from the National Iranian Gas Company and then the basic research model is modeled in software and after converting the unit from kWh to m3 and validating the obtained results from simulation, in the next step, the type of glazing and frame are changed and then the sensitivity is analyzed by the two mentioned methods. The results showed that by replacing windows with triple glazed-glazing with low emission coating filled with argon, krypton and xenon gas and UPVC frame with clear double glazed-glazing filled with argon gas and iron frame, annual gas consumption for heating decreased by 52.43%, 55.34% and 56.60% and the heat loss from the windows is reduced by 7.97%, 9.54% and 10.49%, respectively.

Housing, Window, Glazing, Parametric optimization, Genetic Algorithm, energy consumption