Modeling and simulation method of energy consumption process in process industry under the action of uncertain factors

Abstract

The invention belongs to the technical field of process industry energy efficiency assessment and specifically provides a process industry energy consumption process modeling and simulation method taking uncertain factors into account. A modeling method is characterized in that based on full consideration of the influence of uncertain factors and discrete events, triangular fuzzy numbers are introduced into the hybrid Petri net and used to describe the instantaneous excitation rate of equipment and interaction arcs are used for expressing the interaction between discrete information and continuous energy flow and material flow. A simulation method is characterized in that uncertain factors and occurrence of discrete events are timely reflected by reasonable division of steady-state operation sections, the comparison relations between the uncertain factors are described according to a triangular fuzzy number complementary judgment matrix, and the dynamic calculation for the actual excitation rate of the equipment is realized through triangular fuzzy number comprehensive evaluation of multi-attribute decision making. The method fully takes the dynamic influence of uncertain factors into account and can provide a more accurate and reasonable means for process industry energy efficiency assessment. The method has a strict theoretical basis, is highly universal and facilitates flexible application.

Description

technical field [0001] The invention belongs to the technical field of process industry energy efficiency evaluation, and relates to a process industry energy consumption process modeling and simulation analysis method considering the influence of uncertain factors. Background technique [0002] Models are the basis for the analysis of large-scale, complex engineering systems. It is uneconomical and unrealistic to test and analyze directly in the actual process industry, such as petroleum, chemical and steel production systems. Based on the simulation analysis of the energy consumption process of the process industry, the unit module or system can be easily changed through the model. structure, it is convenient to realize scheme evaluation and comparison, and can be used in the performance research of energy-consuming processes under extreme conditions, which is of great significance for simulating the energy transfer behavior of the process industry and realizing its energy...

AI Technical Summary

Problems solved by technology

However, these current process simulation algorithms ignore the influence of uncertain factors on actual production and energy consumption systems. The model established after deterministic factors will have a certain deviation from the actual production process, which leads to the fact that the simulation analysis results after ignoring uncertain factors cannot truly reflect the actual production energy consumption.

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