Intelligent optimizing method for optimal synthesis of heat exchange network

Abstract

The comprehensive optimizing method of heat exchange network belongs to the field of intelligent information processing technology. Based on system optimizing concept, the optimal synthesis problem of heat exchange network is equivalized into two parts of system structure and heat exchange unit, and the two parts are synergically optimized to obtain the optimal compromise of system structure and heat exchange unit ultimately. The proper optimizing scheme, including three steps of decomposing issue, synergic optimizing of network and selecting optimal optimizing, is adopted according to the practical conditions. The present invention solves the problem of optimal synthesis for large scale heat exchange network, and may be used in chemical, oil refining and other industrial process.

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 technical field of intelligent information processing. Background technique [0002] Heat exchange network is the main component of energy recovery in process industries such as chemical industry and oil refining. The optimal comprehensive problem of heat exchange network is to recover the effective energy of all cold and hot process streams as economically as possible under various conditions. Reduce the consumption of public works to achieve the purpose of energy saving. Its 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, and structural materials, etc.) and all operating cost factors (public works con...

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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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