Study On Heat Exchange Network Optimization Of Aviation Coal Hydrogenation Unit Based On Genetic Simulated Annealing Algorithm

The optimization of heat exchanger network structure, an essential part for petrochemical process system optimization, plays a significant role in energy conservation and rational utilization of heat energy. With the development of human society, people’s increasing demand for energy as they are enjoying unprecedented life benefit from the rapid economic and industrial development may result in the shortage or even disappearances of many energy sources. Many researchers’focuses have been attracted to the rational utilization of energy. Researches on the optimization of heat exchanger network structure have been conducted earlier in the developed countries. However, there are few researches related to the optimization of heat exchanger network structure at home. China are vigorously advocating sustainable development, energy conservation and emissions reduction when researches on the optimization of heat exchanger network structure should be given enough attention. Heat exchanger network technology will become more and more scientific and perfect in such context.In this paper,the mathematical programming method of the heat exchange network synchronization comprehensive optimization is employed to model a jet fuel hydrogenation heat exchanger network. Genetic and simulated annealing optimization algorithm is applied to solve the mathematical model. Chemical process simulation software Aspen Plus is employed to applied steady-state simulation to the current aviation kerosene hydrofining unit and the new optimal design respectively. The positive effect of the optimal design on the energy conservation further verified the feasibility of application of exchange network synchronization comprehensive optimization method to jet fuel hydrogenation unit, which also lays a basis for other process system optimization.In this paper, following several aspects of work are conducted as to the researches on the jet fuel hydrogenation heat exchanger network optimization.(1) By using the existing jet fuel hydrotreating unit can be analyzed, shows that the presence of the energy consumed in large, cold, waste heat and serious problems of its public works exchanger networks;(2) Mathematical model for a comprehensive heat exchanger network synchronization optimization of jet fuel hydrogenation is set up based on the analyzing of energy consumption of the current aviation fuel hydrogenation unit and its annually comprehensive expenditure;(3) The shortages and advantages of genetic algorithm and simulated annealing algorithm are dissected. The cooperation of these two optimization algorithms formed the genetic annealing algorithm applied to solving the present model;(4) A comprehensive interpretation and analysis of results formed the basis for new jet fuel hydrogenation heat exchanger network. The device process is redesigned and AutoCAD software is employed to draw a new flow chart;(5) Aspen Plus software is employed to set up the steady state model for jet fuel hydrogenation process before the optimization. The results of the simulation are compared with the field data to testify the feasibility and reliability of the steady-state model. Aspen Plus software is employed again to set up the steady state model for jet fuel hydrogenation process after the optimization. A comparison between the simulation results and field data is carried out to testify whether the optimized jet fuel hydrogenation process can meet the craft production requirements.