Online optimization method of industrial unit vapour system based on GPU acceleration

Abstract

Provided is an online optimization method of an industrial unit vapour system based on GPU acceleration. The method is based on a mathematical model of vapour system operational costs, and takes into account the constraint conditions such as conservation of mass and energy, turbine power capability, vapour requirements at each level and the like during an actual industrial process, regards the steam extracting quantity of an extraction-condensing steam turbine and the switching value of an electric pump\ a pump turbine and the like as operational variables, real-timely collects operating data of industrial devices, utilizes a parallel cooperative particle optimization algorithm of GPU acceleration to figure out optimized solutions, realizes online optimization of a vapour system, and decreases operational costs of the vapour system. The online optimization method has the advantages of being capable of providing guidance for off-line optimization of devices, combining a technology of APC to realize closed-loop real-time optimization of industrial unit vapour systems and reducing operational costs of devices, and being applicable to online optimization of all kinds of industrial unit vapour systems, therefore the online optimization method has an extensive adaptability.

Description

technical field [0001] The invention relates to an on-line optimization method of an industrial process, in particular to an on-line optimization method of a steam system of a large-scale industrial device. Background technique [0002] At present, energy conservation and emission reduction is an urgent task for my country's economic and social development. The State Council proposed to reduce energy consumption per unit of GDP by 21% during the "Twelfth Five-Year Plan" period. Petroleum and chemical industries account for 9% of the country's total energy consumption and 13% of the country's industrial consumption, and have always been the key areas of energy conservation and consumption reduction. The State Council's "12th Five-Year Plan for Energy Conservation and Emission Reduction" clearly lists the energy system optimization of enterprises in industries such as electric power, steel, non-ferrous metals, synthetic ammonia, oil refining, and ethylene as a key project for ...

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Problems solved by technology

[0003] As one of the important parts of the public works of large-scale chemical production equipment, the steam system mainly has the following problems: the instrument system is not perfect, the measurement is not accurate; the pipeline network is huge and complex, it is difficult to dispatch and manage; the steam loss rate is too high, and the energy waste is large, etc.

In the online optimization of the process, the accuracy of the model has an important impact on the performance of the system. When constructing the online optimization system, the response of the model must be consistent with the actual process, otherwise the online optimization system may not converge to the correct optimal value in actual operation. Excellent solution

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