Abstract:
When mathematical programming method is used to solve the optimization of heat exchanger network model in which all of splitted streams are considered, it is quite difficult to solve the optimization problem due to large numbers of continuous and discrete optimization variables. However, the model without splitted stream is simpler and easier to be solved. This paper utilizes stage wise super structure model to construct the heat exchanger network without splitted stream. Moreover, aiming at the optimal annual cost, improved quantum particle swarm optimization is utilized to synthesize the heat exchanger network without splitted stream, in which both the variables of heat exchanger network structure and the variables of heat load are generated at the same time. Compared with the model with stream splitted, the heat exchanger network without splitted stream has lower complexity and less solving time. Two typical examples verified the effectiveness of the proposed method.