In this research, a new energy-saving design method and a design-aided program MEESG (Most-Energy-Efficient-Scheme-Generator) are developed. The program aims to aid energy-saving design by means of optimization algorithms at a very early design stage, when the building shape is not even determined by the architects. In this program, a simplified prediction model BEFPM (Building Energy Demand Fast Prediction Model) is established to simulate the building total energy demand very quickly. Meanwhile, by introducing Genetic Algorithm into BEFPM, from shape and envelope parameters to HVAC system forms, the computer can automatically generate the design parameters of the most energy efficient scheme(s).