Various optimization methods of heat source have been studied in order to reduce energy consumption in building. Especially，Genetic Algorithm （GA） is used much as optimization method，but it is difficult to setting parameters and likely to get into initial convergence. Furthermore，those optimization methods often don't include electric source like Co-Generation System (CGS) and waste heat utilization equipment. The authors use Discrete PSO (DPSO) dilating Particle Swarm Optimization （PSO） that is easy to setting parameters and good at convergence and Lagrange multiplier as optimization methods of energy supply system in the complex building of office and commercial that introducing CGS.

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