Intelligent Logical Information Algorithm for Choosing Energy- and Resource-Efficient Chemical Technologies

Bogomolov, B. B.; Boldyrev, V. S.; Zubarev, A. M.; Мешалкин, В. П.; Menshikov, Vladimir

doi:10.1134/s0040579519050270

Cited by 36 publications

(16 citation statements)

References 9 publications

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“…For practical implementation, the absence of a catalyst in the reaction products, the composition and good separation of the two phases formed, as well as the process with a slight excess of methanol are weighty arguments in favor of choosing the studied one [23,24].…”

Section: Discussionmentioning

confidence: 99%

Experimentally Calculated Study of the Effectiveness on the Process of Non-Catalytic Synthesis of Biodiesel in Reactors of Various Type

et al. 2021

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It was experimentally established that the dependence of the partial pressure of methanol on the molar fraction of methanol in oil shows a pronounced negative deviation from Raoul’s law, which significantly changes the idea of the influence of a large excess of methanol during non-catalytic synthesis of biodiesel. The efficiency of use of a molar excess of methanol is reduced as it grows, and with a more than 10-fold molar excess of the amount of reacted methanol, is practically constant. The comparison of biodiesel production processes in the range 220–235 °C showed that a slight change in the process temperature more effectively affects the biodiesel yield than an increase in the molar excess of methanol. A mathematical model of the process of transesterification of rapeseed oil in reactors of various types (batch and tubular reactors) is developed. A satisfactory correlation between the experimental and calculated data was observed. The calculation showed that the rate constants of the reverse reactions at 230 °C were not significant.

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Section: Discussionmentioning

confidence: 99%

Experimentally Calculated Study of the Effectiveness on the Process of Non-Catalytic Synthesis of Biodiesel in Reactors of Various Type

et al. 2021

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“…Due to their smoothness and low surface energy, marine organisms do not adhere to such a coating [3]. The increased smoothness of the coating also improves the speed characteristics of ships and provides fuel savings [4][5].…”

Section: )mentioning

confidence: 99%

General Approaches to Improving Anticorrosion and Antifouring Coatings

Boldyrev

Menshikov

Savina

et al. 2020

METAL 2020 Conference Proeedings

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Metal structures, equipment, ships, port and hydraulic structures, other objects operating in river or sea water, after some time are exposed to the inhabitants of the aquatic environment. The surface is overgrown with algae; various small marine organisms attach to it. Fouling with algae and microorganisms becomes the reason for the intensification of metal corrosion processes in an aggressive aqueous medium, which leads to premature destruction of objects.Bio-fouling creates a number of problems for operation -from reducing the fuel efficiency to losing the design. Only recorded losses from biodeterioration account for 5-7% of the value of world industrial products, and they are gradually growing.

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“…Approaching environmental problems of energy conservation using mathematical tools is considered by a number of scientists: Meshalkin et al presented an intelligent logical informational algorithm for choosing energy-and resource-saving chemical technologies [9]; Shang et al summarized the characteristics of energy consumption and energy-saving strategies in the transition to energy-intensive machines of higher power [10]; Klemes and Varbanov substantiated the reduction of environmental pollution as a result of optimization of heat transfer [11]. Directions for improving the environmental friendliness of chemical production based on solutions in the field of introducing energy-saving organizational technologies are proposed in several other scientific works [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Energy Consumption in Chemical Production Based on Descriptive Analytics and Neural Network Modeling

et al. 2021

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Improving the energy efficiency of chemical industries and increasing their environmental friendliness requires an assessment of the parameters of consumption and losses of energy resources. The aim of the study is to develop and test a method for solving the problem of optimizing the use of energy resources in chemical production based on the methodology of descriptive statistics and training of neural networks. Research methods: graphic and tabular tools for descriptive data analysis to study the dynamics of the structure of energy carriers and determine possible reserves for reducing their consumption; correlation analysis with the construction of scatter diagrams to identify the dependences of the range of limit values of electricity consumption on the average rate of energy consumption; a method for training neural networks to predict the optimal values of energy consumption; methods of mathematical optimization and standardization. The authors analyzed the trends in the energy intensity of chemical industries with an assessment of the degree of transformation of the structure of the energy portfolio and possible reserves for reducing the specific weight of electrical and thermal energy; determined the dynamics of energy losses at Russian industrial enterprises; established the correlation dependence of the range of limiting values of power consumption on the average rate of power consumption; determined the optimal limiting limits of the norms for the loss of electrical energy by the example of rubbers of solution polymerization. The results of the study can be used in the development of software complexes for intelligent energy systems that allow tracking the dynamics of consumption and losses of energy resources. Using the results allows you to determine the optimal parameters of energy consumption and identify reserves for improving energy efficiency.

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Intelligent Logical Information Algorithm for Choosing Energy- and Resource-Efficient Chemical Technologies

Cited by 36 publications

References 9 publications

Experimentally Calculated Study of the Effectiveness on the Process of Non-Catalytic Synthesis of Biodiesel in Reactors of Various Type

Experimentally Calculated Study of the Effectiveness on the Process of Non-Catalytic Synthesis of Biodiesel in Reactors of Various Type

General Approaches to Improving Anticorrosion and Antifouring Coatings

Optimization of Energy Consumption in Chemical Production Based on Descriptive Analytics and Neural Network Modeling

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