Energy Saving in Electromechanical Grain Cleaning Systems

Bazaluk, Oleg; Постникова, Марина Викторовна; Halko, Serhii; Квітка, Сергій Олексійович; Mykhailov, Yevhen; Kovalov, Oleksandr; Suprun, Olena; Miroshnyk, Oleksandr; Ніценко, Віталій

doi:10.3390/app12031418

Cited by 10 publications

(5 citation statements)

References 30 publications

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“…The recommended scientifically based standards of electric consumption are intended for departments of economics and planning of regional agricultural administrations to plan and manage electricity consumption for technological processes of grain cleaning on the production lines of grain storage facilities. Similar experimental [45] and theoretical [46] studies have been carried out for the first time by the authors for ZAV-20 and ZAV-25 [47] grain cleaning units, and scientifically based electricity consumption standards have been developed, as confirmed by the certificates of research results implementation. Corresponding studies are also being carried out for other grain cleaning units produced by industry.…”

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confidence: 73%

Improving Energy Efficiency of Grain Cleaning Technology

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The relevance of the research topic was substantiated, and the purpose and objectives of the study were formulated. It was determined that the energy efficiency of the grain cleaning process can be evaluated only when all the machines operate in a single production line and are coordinated in productivity. Research on energy savings and energy efficiency in the technological process of post-harvest grain treatment using grain cleaning units by implementing the method of mathematical experiment planning (MEP) was conducted. The method is based on transforming the initial mathematical models of various research objects into a model in the form of regression equations convenient for solving the problems of research, analysis and optimization of the object. For the first time, the mathematical description of the target function was performed by conducting a multifactorial experiment based on second-order design. The research produced adequate second-order regression equations, making it possible to determine the minimum specific consumption of electricity for the technological process of post-harvest grain treatment at grain cleaning facilities, while complying with the agrotechnical requirements for the quality of the cleaned grain. The problem of optimization of the research object was solved by mathematical transformations, which enabled obtaining graphical and analytical interpretations of the optimum area. For this purpose, the canonical transformation of the mathematical model and the method of two-dimensional cross-sections of the response surface were used. Research has led to the development of scientifically based standards of specific electricity consumption for grain cleaning processing schemes, which serve as criteria for evaluating energy savings in the technological processes.

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confidence: 73%

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“…The pressure drop in the fluidized bed is more specifically determined by the Ergan equation, taking into account the viscosity of the liquid or gas phase and the equivalent diameter of the fruit. The pressure drop in the layer according to the Ergan equation [ 31 , 32 , 33 ] is determined by the Formula (3):

where…”

Section: The Basic Part Of the Studymentioning

confidence: 99%

“…The research method is based on an improved method for studying the process of freezing juicy food products, such as sliced vegetables, berries, or fruits [ 15 , 16 , 17 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 ]. Two-stage freezing was used with the formation of a frozen layer (ice crust), which prevented the possible sticking of vegetable cubes when the internal moisture passed to the crystalline structure.…”

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confidence: 99%

Ways to Improve the Efficiency of Devices for Freezing of Small Products

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It has been established that one of the main problems in the technology of the production of loose food products is the sticking of vegetables or fruits into one block. It has been proven that one of the steps to solve this problem is the use of berries, fruits, or vegetables during freezing in the form of a fluidized bed in air. However, a significant part of the energy is spent precisely when creating a fluidized bed with the help of fans. By improving the separation efficiency of small products in the freezing process, it would be possible to significantly reduce the energy costs of freezing worldwide. The purpose of this work was to determine ways to increase the efficiency of devices for freezing small products. The goal was achieved through the use of a modified method for studying energy costs, taking into account energy costs for fluidization and mechanical shaking. For comparison, two options for the efficient separation of small products during freezing were considered. Namely the separation of small products in the process of freezing with the help of fluidization, and with the help of mechanical shaking. Comparison of these variants showed that it was advisable to separate small products during freezing by mechanical shaking. It was established that their energy parameters, as well as fractional properties, are significantly different. The product temperature was determined for the case of a constant temperature of the cooling air and equipment elements. The results obtained confirmed the possibility of achieving significant energy savings of 1.5–3.5 times by using the mechanized device we proposed for freezing fruits and vegetables. The main result of this paper is the proposed method, or algorithm, for calculating energy costs for fluidization and mechanical shaking, which could be used in the design of devices for the freezing of small products; as well as the obtained data confirming the correspondence of the theoretical calculations to reality. The novelty of the research consists in presenting a model or algorithm for calculating the energy costs for fluidization and mechanical shaking. The importance of the results of the work lies in the possibility of using this technique to assess the energy effectiveness of devices for the freezing of small products.

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“…Scientists from all over the world are engaged in research in the field of grain storage and the choice of optimal modes, the problem of grain preservation is relevant for agriculture to this day (Afonnikov et al, 2022). The most common methods for determining the intensity of grain respiration are based on various physical and chemical methods, in each of which, the method is based on one indicator, having determined which, in the future, all components of the grain respiration process are calculated (Bazaluk et al, 2022).…”

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confidence: 99%

Automated System for the Microclimate Remote Monitoring

Nikonova¹,

Breido²,

Sichkarenko³

et al. 2022

DAAAM International Scientific Book

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The authors propose the development of a system designed to control microclimate parameters at the place where grain is stored in a polymer molten bubble, diagnose changes in it and transmit information to the control center. The system is a software and hardware complex that combines grain storage tanks with a system for remote control and diagnostics of the main microclimate parameters, such as the level of oxygen O 2 , the level of carbon dioxide CO 2 , temperature and relative humidity. The system also monitors the integrity of the material of the melt bubbles by indirect signs.

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Energy Saving in Electromechanical Grain Cleaning Systems

Cited by 10 publications

References 30 publications

Improving Energy Efficiency of Grain Cleaning Technology

Improving Energy Efficiency of Grain Cleaning Technology

Ways to Improve the Efficiency of Devices for Freezing of Small Products

Automated System for the Microclimate Remote Monitoring

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