Development of Simplified Building Energy Prediction Model to Support Policymaking in South Korea—Case Study for Office Buildings

This study aims to support building energy policymaking for office buildings in South Korea through regression models by considering the global temperature rise. The key variables representing standards and codes are selected, their impact on annual consumption is simulated using EnergyPlus reference models. Then, simplified built basis of selected variables. prediction performance developed model forecasting each good, error negligible. An additional coefficient estimated address increased outdoor air future. final shows fair with coefficients 1.27 0.9 cooling heating, respectively. It expected that proposed can be leveraged non-expert policymakers predict corresponding greenhouse gas emissions target year.