Optimal Design For Plate Heat Exchanger By Particle Swarm Optimization Based On Matlab

Plate heat exchangers are widely used in petroleum industry, chemical industry, light industry, electric power, metallurgy, machinery, energy and other industries, the optimal design of plate heat exchanger for the sustainable development of modern industry has a lot of important meanings. In this paper, based on the structure of the plate heat exchanger, we get an optimal mathematical model about the structural parameters of the plate heat exchanger through the optimization analysis of numbers of combinations of the processes and the fluid flow. And then with an example, we carry out operations by PSO, and ultimately we get the more appropriate numbers of combinations of the processes and the fluid flow for the lowest economic indicators with genetic algorithm results comparison. What's more, based on studying on energy loss of plate heat exchanger that has been optimized calculation by PSO in the absence of phase transition, we get the parameters affecting energy loss and per unit of product energy loss during operating. Optimization results show that compared with GA, PSO meeting all aspects of strength requirements can get much more appropriate global variables, with obvious economic benefit; we analyzed the energy loss and per unit of product energy loss of the results and got an evaluation of the optimization results in the economic optimization of the energy and the operating parameters of influencing the energy loss and per unit of product energy loss. Based on these conclusions, this paper provided an effective optimization for the design of plate heat exchangers, and showed the object of research for reducing the energy loss.