Intelligent optimizing method for optimal synthesis of heat exchange network

Abstract

An optimal comprehensive optimization method for a heat exchange network. It belongs to the technical field of intelligent information processing. Based on the idea of ​​system optimization, the present invention decomposes the optimal comprehensive problem of the heat exchange network into two parts, the system structure and the heat exchange unit, and uses the cooperative evolution method to optimize the two parts, and finally obtains the system structure and the heat exchange unit. According to the actual situation of the site, further selection of the most suitable optimization scheme includes three steps: problem decomposition, cooperative optimization of the network, and selection of the most suitable optimization scheme. The present invention better solves the problem of optimal synthesis of large-scale heat exchange networks, and can avoid the slow convergence speed, easy to fall into local minimum, objective function must be derivable, etc. Practical problems; it can be applied to the optimization of energy recovery network in process industries such as chemical industry and oil refining, and has been used in the comprehensive problem of energy consumption optimization in the whole process of an ethylene plant in a certain plant, and has been recognized by the production unit.

Description

Technical field [0001] The invention relates to an optimization method for the optimal synthesis of a heat exchange network, in particular to an intelligent optimization method for the optimal synthesis of a heat exchange network. It belongs to the field of intelligent information processing technology. Background technique [0002] The heat exchange network is the main component of energy recovery in the chemical and oil refining process industries. The optimal comprehensive problem of the heat exchange network is to recover all the effective energy of the cold and hot process logistics as economically as possible under various conditions. Reduce the consumption of public works in order to achieve the purpose of energy saving. The optimization goal is based on the analysis of the first law of thermodynamics, while considering all investment cost factors (heat exchange area, number of heat exchange units, structural materials, etc.) and all operating cost factors (utility consump...

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Problems solved by technology

After literature search, it was found that Niniek FP wrote an article "Synthesis of Heat Exchanger Networks Considering Location of Process Stream" ( "Heat Exchange Network Synthesis Problem Considering Process Logistics Location"), this paper studies the optimal synthesis problem of heat exchange network. The research shows that pinching point design method cannot consider network investment cost and operation cost at the same time; although mathematical programming method can be used in Both investment cost and operating cost are considered in the model, but if a deterministic method is adopted, it can only solve the problem limited to a dozen process streams; if a random method, such as genetic algorithm, is robust and parallelizable processing and high efficiency, but it can only solve problems smaller than dozens of streams, and it is easy to fall into local optimum and slow convergence speed

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