Combined Approach to Analysis and Regulation of Thermodynamic Processes in the Energy Technology Complex

Anatoliy Alabugin,Sergei Aliukov,Konstantin Osintsev

doi:10.3390/pr9020204

Anatoliy Alabugin, Sergei Aliukov + Show 1 more

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https://doi.org/10.3390/pr9020204

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Journal: Processes	Publication Date: Jan 21, 2021
Citations: 6	License type: CC BY 4.0

Affiliation: South Ural State University

Abstract

The purpose of this work is to increase the theoretical and methodological approaches to value and regulate the dynamics of management processes. Application of these dynamics is implemented via methods of improving the quality of management of complex energy technology systems in the organization of recycling processes. As a result of the research, a technological model of a rotary kiln with a division into separate sections corresponding to the combustion zones for the production of cement clinker in recycling technology was developed. Mathematical modeling, analytical calculations of thermodynamic and gas-dynamic processes in the drums of rotating furnaces, and experimental studies were carried out. As a scientific novelty, an approximation of piecewise linear functions is obtained for modeling the processes of improving the quality of control by the criterion of reducing the error of data transmission for monitoring and regulating the thermodynamic parameters of the furnace via analog-to-digital methods. An algorithmic scheme of the method of in-depth analysis of management quality using data science tools in the concept of combining organizational, economic, technical, technological, and mathematical methods and methods of data collection, processing, and storage of big data is developed. This made it possible to apply the models in the formed energy technology complex using learning neural network algorithms. The possibilities of applying the methodology of combining methods for in-depth analysis and modeling of thermodynamic processes in an energy technological complex with any composition of equipment for the production of cement clinker are substantiated.

Highlights

This article proposes a combined approach to improving the energy, environmental, and economic efficiency of industrial power engineering devices
The dynamics and variety of thermodynamic parameters make it necessary to use a large database derived from big data
A particular problem is presented by processes whose thermodynamic parameters change abruptly or exponentially

Summary

Introduction

This article proposes a combined approach to improving the energy, environmental, and economic efficiency of industrial power engineering devices This was done using the combination or consistent application of organizational, technical, technological, and mathematical models and methods of analysis and regulation of thermodynamic processes. A particular problem is presented by processes whose thermodynamic parameters change abruptly or exponentially This makes it necessary to use piecewise linear functions that are widely used in electronics to represent signal transmission processes. It is based on providing realtime control and regulation using neural network algorithms for deep machine learning using artificial intelligence Such processes occur, for example, when regulating the energy efficiency of rotary kilns for the production of building materials in the transition from the use of traditional raw materials to resources of recycled origin in the production of cement clinker. There is often a decrease in the stability of development processes due to abrupt changes in the structure of relationships between its objects

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