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Ammonia-process desulfurization optimum control method based on multi-variable constraint zone predicting control

An ammonia desulfurization and predictive control technology, applied in chemical instruments and methods, separation methods, dispersed particle separation, etc., can solve problems such as few closed-loop control, and achieve the effect of reducing requirements, overcoming large delays, and reducing actions

Inactive Publication Date: 2019-01-18
SINOPEC YANGZI PETROCHEM +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] The object of the present invention is to provide a kind of ammonia method desulfurization optimization control method based on multivariable constraint interval predictive control strategy that improves system economy, solves the problem in the prior art, although the current ammonia method desulfurization devices are basically equipped with distributed computer control systems ( DCS), but it is mainly used to realize the equipment start-stop and interlock protection functions, and rarely can be put into technical problems of closed-loop control

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  • Ammonia-process desulfurization optimum control method based on multi-variable constraint zone predicting control
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  • Ammonia-process desulfurization optimum control method based on multi-variable constraint zone predicting control

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Embodiment 1

[0058] The optimal control method for ammonia desulfurization based on multivariable constrained interval predictive control obtained in Example 1 has SO 2 The control effect when the concentration is disturbed by the set value is as follows: figure 2 , image 3 shown. It can be seen from the figure that the ammonia desulfurization optimization control method of the present invention can quickly and reasonably adjust the ammonia water flow rate in the absorption section and the oxidation section when the set value disturbance occurs in the system, so as to ensure that the pH of the circulating slurry is within the control range, and at the same time Maintain SO after desulfurization 2 The concentration quickly and stably follows the change of the set value, which reduces the ammonia consumption and the ammonia escape rate.

[0059] The control effect of the ammonia desulfurization optimization control method based on multivariable constraint interval predictive control obt...

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Abstract

The invention discloses an ammonia-process desulfurization optimum control method based on multi-variable constraint zone predicting control. The ammonia-process desulfurization optimum control methodhas the advantages that by adopting the multi-variable constraint zone predicting control method, the intake flow rate of ammonia water between the absorption section and oxidization section of a desulfurization tower can be well coordinated; at the premises of ensuring the desulfurization efficiency, the control quality of the system is improved, the running cost of the system is reduced, and the economic and environment-friendly running of the system is accelerated.

Description

technical field [0001] The invention relates to the field of thermal automatic control, in particular to an optimal control method for ammonia desulfurization based on multivariable constrained interval predictive control. Background technique [0002] Control SO 2 The discharge of such polluting gases is a major task for my country to promote the technological progress and sustainable development of the thermal power industry and solve environmental pollution problems. The "Emission Standards of Air Pollutants for Thermal Power Plants" implemented on January 1, 2012 stipulates that from July 1, 2014, the existing coal-fired boiler SO 2 The maximum emission limit is 200mg / m3. Therefore, reducing SO in the thermal power industry 2 The emissions are not only of great practical significance to reducing environmental pollution, but also an urgent need for the country to establish resource-saving and environment-friendly enterprises. [0003] The ammonia desulfurization proce...

Claims

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Application Information

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IPC IPC(8): B01D53/78B01D53/50B01D53/34
CPCB01D53/346B01D53/501B01D53/78B01D2252/102
Inventor 赵东晓宋祎丛经纬沙志强宋俊金晓刘洪兵孙玉芬陈勇
Owner SINOPEC YANGZI PETROCHEM
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