Energy Saving in the Technological Process of the Grain Grinding

Постникова, Марина Викторовна; Mykhailov, Yevhen; Нестерчук, Діна Миколаївна; Rechina, Olga

doi:10.1007/978-3-030-14918-5_41

Cited by 4 publications

(10 citation statements)

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“…We measured voltage and current at PSS's idle running and at its operating mode. The calculation was carried out with the help of the formula (Postnikova et al, 2019):…”

Section: Research Resultsmentioning

confidence: 99%

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Energy Assessment of the Pneumatic Sieve Separator for Agricultural Crops

Mykhailov

Задосна

Постникова

et al. 2021

Agricultural Engineering

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As a result of energy assessment of a pneumatic sieve separator for agricultural crops it was determined that the specific energy consumption of the experimental pneumatic sieve separator was 0.18 kW·year·t−1. It is lower than in case of its domestic and foreign equivalents. For instance, the specific energy consumption of the separator of preliminary grain purification called SPO-50 (Ukraine) is 0.31 kW·year·t−1, and that of the machine of preliminary grain purification called MPO-50 (Russia) is 0.38 kW·year·t−1. Specific energy consumption of a pneumatic sieve separator is 1.72-2.11 times lower than in case of its domestic and foreign counterparts.

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“…We measured voltage and current at PSS's idle running and at its operating mode. The calculation was carried out with the help of the formula (Postnikova et al, 2019):…”

Section: Research Resultsmentioning

confidence: 99%

“…Devices and technological processes of operation of air-sieved separators with a closed air system, providing preliminary cleaning of the grain, are known (Postnikova et al, 2019;Mykhailov et al, 2020;Kharchenko et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Energy Assessment of the Pneumatic Sieve Separator for Agricultural Crops

Mykhailov

Задосна

Постникова

et al. 2021

Agricultural Engineering

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“…The lack of dispersions of the reproducibility of the target function does not allow for a mathematical description of the object of study in the form of regression equations with a limited number of terms because it is not possible to conduct a statistical assessment of the significance of the coefficients and the adequacy of the equation. For this reason, when using the MEP method, the reproducibility dispersion 𝑆 𝑩 2 {𝑦}is added artificially and is determined by the value of the accepted acceptable error of calculations (Postnikova, 2011;Nazar'jan et al, 2012;Postnikova et al, 2019):…”

Section: Methodsmentioning

confidence: 99%

“…The current situation in the energy market requires in-depth analysis of the energy use efficiency of any production, taking into account quantitative and qualitative indicators. Due to the shortage of energy resources, it becomes necessary to save energy in general, and in particular, electrical energy (Postnikova, 2011;Postnikova et al, 2019). One of the ways of rational power usage in grain cleaning units is to ensure the nominal load of drive, i.e., the electric motors.…”

Section: Introductionmentioning

confidence: 99%

“…To minimize electric consumption by electric drives of unit lines, Kupchuk et al (2021) recommend developing and analyzing a mathematical model of power consumption in electric drives. Postnikova et al (2019) point out that to reduce power consumption of electromechanical systems, it is necessary to optimize the modes of operation of electrical equipment.…”

Section: Introductionmentioning

confidence: 99%

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The Grain Cleaning Production Lines’ Energysaving Operation Modes of Electromechanical Systems

Постникова

Mykhailov

Квітка

et al. 2022

Agricultural Engineering

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The research was aimed at reducing the power consumption for grain cleaning by using energy-saving modes in the electromechanical systems of grain cleaning units. Specific consumption of active energy per production unit was adopted as a criterion for assessing energy-saving operation modes. The applied method of mathematical experiment planning (MEP) reduced the number of experiments to a minimum to obtain a reliable mathematical model of the research object. To determine the optimal specific power consumption, a theoretical method was developed to rebuild the mathematical model. Thus, the minimum specific power consumption of grain cleaning production lines was obtained, which allowed developing science-based rates of power usage that allow energy savings up to 8-10%.

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Regression models of technological processes post-harvesting grain

Mykhailov¹,

Zadosnaya²

2021

Tehnìka ta energetika

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The paper presents the regressive models of technological processes of post-harvest grain processing (PHGP). In the technological model of the functioning of the EMP system, there are interrelated indicators of the quality of equipment operation with the probability of being at acceptable levels of operating conditions, the technological state of the system and internal obstacles. Presented is a technological model of the PHGP system and regressive models of the functioning of grain cleaning machines in the form of one and three subsystems. The developed technological model of the functioning of the technical equipment of the PHGP shows the need to determine the technological tolerances of the performance indicators of the grain cleaning machine in the conditions of their normal functioning, should be taken into account when developing methods for calculating the parameters of the technical equipment process of the PHGP. Regressive models of technological processes of the PHGP in a normalized form is the basis for obtaining mathematical models for predicting the quality indicators of the functioning of machines and units in field conditions and for carrying out a machine experiment by the method of simulation.

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Energy Saving in the Technological Process of the Grain Grinding

Cited by 4 publications

References 0 publications

Energy Assessment of the Pneumatic Sieve Separator for Agricultural Crops

Energy Assessment of the Pneumatic Sieve Separator for Agricultural Crops

The Grain Cleaning Production Lines’ Energysaving Operation Modes of Electromechanical Systems

Regression models of technological processes post-harvesting grain

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