MDEA decarburization system analysis method based on gray correlation analysis method

Abstract

The invention discloses an MDEA decarburization system analysis method based on a gray correlation analysis method. The MDEA decarburization system analysis method is related to an MDEA decarburization system absorption part and an MDEA decarburization system regeneration part. The reference sequence of the MDEA decarburization system absorption part is a processed natural gas CO2 content reference sequence, and the comparison sequences of the MDEA decarburization system absorption part are an air input comparison sequence, an absorber pressure comparison sequence, an intake temperature comparison sequence, an MDEA barren solution circulation volume comparison sequence, an MDEA barren solution absorber inlet temperature comparison sequence, an MDEA barren solution concentration comparison sequence, an absorber liquid level comparison sequence, an absorber top temperature comparison sequence, and an absorber bottom temperature comparison sequence. The reference sequence of the MDEA decarburization system regeneration part is a regenerated MDEA solution CO2 content reference sequence, and the comparison sequences of the MDEA decarburization system regeneration part are an amine solution circulation volume comparison sequence, an amine regeneration tower inlet temperature comparison sequence, an amine regeneration tower pressure comparison sequence, a semi-lean solution temperature comparison sequence, a pregnant solution comparison sequence, and a regeneration tower liquid level comparison sequence. And four comparison sequences having the largest impact are respectively found, and the decarburization system is seen as an integrated body for comprehensive analysis, and finally, a strong and weak relationship, a size relationship, and an order relation among various factors affecting decarburization effect are determined. An algorithm is simple, programming is easy to execute, and control and optimization can be finally realized.

Description

technical field [0001] The invention relates to the technical field of natural gas decarbonization, in particular to an analysis method for MDEA decarbonization systems based on a gray relational analysis method. Background technique [0002] At present, the MDEA decarbonization system has been widely used in natural gas purification, LNG and related chemical fields. The stability and controllability of the system greatly affect the normal production of the entire factory. The traditional DCS (Decentralized Control) is based on the controllable process parameters modeled by HYSYS (oil and gas processing simulation software), and through manual judgment, the entire system is regulated to ensure the normal operation of the system to a certain extent. However, HYSYS modeling cannot be accurately carried out for old equipment and systems with differences in construction and design, and the control parameters can only be completed through empirical exploration. In emergencies, ...

AI Technical Summary

Problems solved by technology

However, HYSYS modeling cannot be performed accurately for old equipment and systems that differ in construction and design, and the control parameters can only be completed through empirical exploration

It is difficult to make timely and accurate judgments in emergencies, which leads to accidents. After system maintenance and working condition adjustment, it is necessary to re-explore the process parameters. There is no continuity in control, which has a great impact on the normal production of the factory.

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