Liquid-Liquid Phase Equilibrium: Experimental Study and Thermodynamic Modeling

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".

Deadline for manuscript submissions: closed (15 September 2021) | Viewed by 2754

Special Issue Editor


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Guest Editor
Department of Chemical Thermodynamics and Kinetics, Saint Petersburg State University, Universitetskiy prospect 26, Peterhof, 198504 St. Petersburg, Russia
Interests: thermodynamics; phase equilibrium; phase transition; deep eutectic solvents

Special Issue Information

Dear Colleagues,

The intensification of technological processes and an increase in the efficiency of chemical production are among the most pressing problems of modern chemical technology. One of the methods for solving these problems is a sharp increase in the productivity of a unit of apparatus volume, the creation of units of large unit capacity. The solution to such problems should be based on the laws of chemical technology processes, methods of mathematical and physical modeling, computer-aided design, and development of control systems. Among the most important processes in chemical technology, a group of mass transfer processes in liquid–liquid systems occupies a large place, which is the reason for the high importance of reliable data on phase equilibrium in multicomponent systems.

This Special Issue on “Liquid–Liquid Phase Equilibrium: Experimental Study and Thermodynamic Modeling” is devoted to high-quality work aimed at research in the field of liquid–liquid phase equilibrium, extraction, and modeling of mass transfer preocesses. Topics include but are not limited to:

  • Liquid–liquid phase equilibrium in systems with a chemical reaction;
  • Liquid extraction using ionic liquids and deep eutectic solvents;
  • Modeling of liquid–liquid phase equilibrium and industrial integration.

Dr. Artemiy Samarov
Guest Editor

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Keywords

  • Liquid–liquid equilibrium
  • Thermodynamic modeling
  • Extraction
  • Extractive distillation
  • Multicomponent systems

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Published Papers (1 paper)

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Research

32 pages, 8331 KiB  
Article
Combined Approach to Analysis and Regulation of Thermodynamic Processes in the Energy Technology Complex
by Anatoliy Alabugin, Sergei Aliukov and Konstantin Osintsev
Processes 2021, 9(2), 204; https://doi.org/10.3390/pr9020204 - 21 Jan 2021
Cited by 15 | Viewed by 1967
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 [...] Read more.
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. Full article
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