Applying the response surface methodology to predict the energy retrofit performance of the TABULA residential building stock

Recent advances in computing software have enabled the development of calibrated building energy simulations tools that allow retrofit-related analysis including optimization and energy-efficient design. However, to create a national climate plan, using these may imply great deal effort (time, cost, human resources) carry out for full set different types, construction, geometries, design parameters, retrofit scenarios. Because this, simplified approaches can reliably estimate impact energy-efficiency alternatives based on averaged stock characteristics could offer significant advantage, especially middle-income countries such as Bosnia Herzegovina. This study aims explore reduction potential representative from residential by utilizing response surface methodology (RSM). In this study, RSM is combined with simulation EnergyPlus DesignBuilder model savings associated measures TABULA registry introduces novel consumption be applied optimize solutions reducing heating cooling sector. Moreover, developed was validated results survey Therefore, use versatile suitable rapid prediction stock.