Memory, and hydrogen network hydrogen utilization optimization method, device and equipment based on equipment reconstruction

Abstract

The invention discloses a memory, a hydrogen utilization optimization method, device and equipment for a hydrogen network based on equipment reconstruction. The method comprises the following steps of determining hydrogen network parameters including new hydrogen composition and new hydrogen flow as adjustable parameters; taking specific working condition data including adjustable parameters as input parameters, and judging whether the product property data corresponding to the current working condition meets a preset quality standard or not through a reaction kinetic model; when the result is no, adjusting the adjustable parameters and carrying out regression calculation until the product property data meets the quality standard; establishing a hydrogen network optimization model by taking increase of hydrogen consumption as a guide, taking increase of equipment and pipeline investment as an available means and taking hydrogen network economic benefit maximization as a target; outputting a new hydrogen boundary condition and a small molecule hydrocarbon generation amount to a preset hydrogen network optimization model; and generating a hydrogen supply scheme of the hydrogen network according to the hydrogen network optimization model; The method is advantaged in that accurate results can be obtained under various working conditions, and then a practical and feasible optimization scheme can be obtained.

Description

technical field [0001] The invention relates to the field of industrial measurement, in particular to storage, a hydrogen network optimization method, device and equipment based on equipment reconstruction. Background technique [0002] In order to meet the requirements of crude oil degradation, product quality upgrading, and clean production, the processing capacity of catalytic hydrogenation units in refineries is increasing, and the operating severity is also increasing, resulting in an increasing demand for hydrogen. Hydrogen has become the second largest cost element in refinery feedstock costs after crude oil. Therefore, how to reduce the cost of hydrogen has become a topic of great concern to refineries; reducing the hydrogen cost of refineries by optimizing the hydrogen network to improve the hydrogen management level of refineries can obtain significant economic benefits. [0003] Hydrogen network design and optimization Researchers have proposed a mathematical pro...

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Problems solved by technology

[0005] After research, the inventor found that the optimization method in the prior art is more suitable for refineries that process a single oil product and a single operating condition; in the application scenario where the refinery in my country processes complex and changeable oil types and the operating conditions often change In the next case, using the material consumption / generation model regressed from the material balance data of a single working condition to calculate the product properties and material consumption under other working conditions will make the accuracy of the results very poor and a good optimization effect cannot be achieved

[0006] Therefore, the hydrogen pipeline network optimization scheme in the prior art cannot be applied to the application scenarios with changing working conditions in my country

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