Office building energy saving potential in Singapore

Abstract

The energy consumption of office buildings represents a significant amount in Singapore because of the tropical climate and insufficient energy conservation measures. Two approaches are presented in this thesis to establish the predictive model for office building energy saving potential. One is system-level benchmark approach and it is based on the building energy consuming systemsa?? energy efficiency benchmarking. The second is regression correlation approach which adopts the regression correlation-ship analysis between the parameters of building energy consuming systems and the total building energy efficiency. Three buildings of the moderate-level energy efficiency and one building of the low-level are case-studied by using these two approaches to predict the energy saving after retrofitting. The overall results are analyzed and compared. Additionally, energy simulations of two buildings among these four are conducted to validate the results and verify the model. All the case buildings can be improved to advanced-level buildings by these two approaches and the saving percentage is from 20% to 40%, respectively.