Improving Energy Efficiency of Grain Cleaning Technology
Source abstract
Abstract
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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Research context
OpenAlex topics: Economic and Business Development Strategies · Agriculture Market Analysis Ukraine
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Belt and Road Initiative Institute for Chinese-European Studies, Guangdong University of Petrochemical Technology, Maoming 525000, China
Department of Electrical Engineering and Electromechanic, Dmytro Motornyi Tavria State Agrotechnological University, 72312 Melitopol, Ukraine
Department of Machine Usage in Agriculture, Dmytro Motornyi Tavria State Agrotechnological University, 72312 Melitopol, Ukraine
Department of Foreign Languages, Dmytro Motornyi Tavria State Agrotechnological University, 72312 Melitopol, Ukraine
Department of Electricity Supply and Energy Management, State Biotechnological University, 61002 Kharkiv, Ukraine
SCIRE Foundation, 00867 Warsaw, Poland
Funding
Guangdong University of Petrochemical Technology
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Show source-provided references
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