Modeling and optimization of the consumer properties of mobile energy units in the agricultural industry

Abstract

BACKGROUND: This paper contains examples of the implementation of multi-criteria optimization in the justification of consumer properties of mobile energy units. The criteria include five main functional and operational indicators: productivity rate, energy rate by the relative reduction of total specific costs of mobile energy units, total costs of maintenance and repair, pressure on the soil and energy efficiency. The use of multi-criteria optimization can have a wide range of applications: in the design, development and operation of mobile energy units.

AIM: Modeling and optimization of consumer properties of mobile energy units of the agricultural industry using the example of a mobile energy unit of the drawbar category 1.4.

METHODS: Collection and analysis of scientific publications, scientific papers, and other sources of information on formation of the R&D for creation of intelligent transport and technical means, on key indicators of consumer properties of agricultural mobile energy units, as well as on improvement of methodological and software support for multi-criteria optimization calculations of efficiency of mobile energy units. In solving the task, methods of scientific generalization and statistical processing of available information and analytical materials from domestic and foreign sources were used.

RESULTS: As a result of the performed calculations, the following result points were selected by a decision-maker as the most preferable among the obtained Pareto points for the drawbar category 1.4 tractor:

1. Plowing — the productivity rate of 1.17 ha/h; the soil pressure of 145 kPa; the total costs of 149.2 thousand rubles; the energy rate of 35.0%, the energy efficiency of 19.7 kW∙ha/h.
2. Sowing — the productivity rate of 2.87 ha/h; the soil pressure of 149.3 kPa; the total costs of 178.39 thousand rubles; the energy rate of 35.3%, the energy efficiency of 24.17 kW∙ha/h.
3. Chemization — the productivity rate of 3.541 ha/h; the soil pressure of 177.513 kPa; the total costs of 124.408 thousand rubles; the energy rate of 22.8%, the energy efficiency of 32.10 kW∙ha/h.

CONCLUSION: The analysis of the classification of functional operational and economic indicators of mobile energy units (consumer properties), as well as their expert assessment, helped to identify five main quality criteria: soil pressure (q^кₘₐₓ), productivity rate (W), total repair and maintenance costs (З_pᵢ), energy rate by the relative reduction of total specific fuel and energy costs of mobile energy units, (Э_wⁿ) , energy efficiency E_c, for the modeling and optimization of which the software package for solving the multi-criteria optimization problems, allowing solving problems with more than 50 variable parameters and 20 quality criteria, was developed. For a full disclosure of the optimal consumer operational properties of mobile energy units of the drawbar category 1.4 and the three most important operations (plowing, sowing, chemization), were selected.

Keywords

multi-criteria optimization / consumer properties of mobile energy units / functional properties / quality criteria / variable parameters / making compromise decisions

References

[1] Godzhaev TZ. Justification of the efficiency of modern agricultural mobile energy vehicles using multi-criteria optimization methods [dissertation] Moscow; 2024 (In Russ.)

[2] Zubina VA, Godzhaev TZ, Malakhov IS. Carrying out multi-criteria optimization calculations to increase the efficiency of the fleet of mobile energy vehicles. Tractors and agricultural machinery. 2024;91.(2):217–227. (In Russ.) doi: 10.17816/0321-4443-629124 EDN: SXTDCZ

[3] The system of machines and technologies for the comprehensive mechanization and automation of agricultural production for the period up to 2020,Plant Growing. Moscow; 2012;1. (In Russ.)

[4] Statnikov RB, Astashov VK, Matusov IB, et al. MOVI 1.4 software package. User’s Manual. Moscow; 2009. (In Russ.)

[5] Godzhaev TZ, Zubina VA, Malakhov IS. Justification of the functional characteristics of agricultural mobile energy vehicles in a multi-criteria formulation // Tractors and agricultural machinery. 2022;89(6):411–420. (In Russ.) doi: 10.17816/0321-4443-121325 EDN: XTFDEB

[6] Zubina VA, Godzhaev TZ, Malakhov IS. Development of optimization mathematical models for making compromise decisions on the efficiency of the agricultural machinery fleet. Tractors and agricultural machinery. 2023;90(6):523–529. (In Russ.) doi: 10.17816/0321-4443-569403 EDN: KZHOIX

[7] Sobol IM, Statnikov RB. Selection of optimal parameters in problems with many. Moscow: Nauka; 1981. (In Russ.)

RIGHTS & PERMISSIONS

Eco-Vector