Systematization of Energy Efficiency Factors at Industrial Enterprises

Кокшаров, В. А.

doi:10.17072/1994-9960-2016-1-147-156

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main difficulties in the development of mathematical models for studying the processes of energy consumption in various systems, including industrial enterprises, are primarily in large amounts of data used for this purpose [4][5][6][7][8][9][10]. This task is even more complicated in the case when the initial data used have, albeit not to the full extent, uncertainty and incompleteness, especially when the formation of the final assessment or the result of solving the problem largely depends on such information.…”

Section: Introductionmentioning

confidence: 99%

Model of fuzzy inference for energy efficiency evaluation at industrial enterprises

Biryulin

Kudelina

Pykhtin

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

At the moment, with the developing industrialization of society, as well as the growing demand and consumption of all types of end products, industry is increasing the use of energy resources to create capacities corresponding to the current time. The main industrial source of energy in the 21st century is electricity. In industries and enterprises, electricity is used in large amount, and that is why the main and urgent task to reduce the cost, increase the competitive ability of the organization and the growth of its microeconomics is the ability to reduce electricity consumption, and not by reducing production lines, but due to the correct and modern technology of its use. To solve this problem, many factors, which are expressed in quantitative and qualitative data, should be taken into consideration. But it is complicated by the fact that most often these data groups have incompleteness and uncertainty of the used information. This may be due to outdated equipment, lack of necessary technological equipment, or simply a human factor. In this regard, there is a not objective and not quite correct model and assessment of electricity usage by the enterprise. To get out of this situation with the benefit of industry, it is possible to use the mathematical apparatus of fuzzy logic. The results obtained using this method can be considered objective. Based on reasonable estimates of the impact of various factors on energy consumption and energy efficiency of the enterprise system, it is possible to develop methods for its improvement, increasing energy efficiency, reducing waste, which leads to an increase in the competitiveness of the enterprise by reducing the cost of the final product and reducing the cost for the consumer.

show abstract

Section: Introductionmentioning

confidence: 99%

Model of fuzzy inference for energy efficiency evaluation at industrial enterprises

Biryulin

Kudelina

Pykhtin

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

Model of Fuzzy Logic Accounting of Energy Efficiency Indicators of Industrial Enterprises

Biryulin

Kudelina

Pyhtin

et al. 2022

Construction and Architecture

View full text Add to dashboard Cite

At industrial enterprises, a significant amount of energy resources, including electricity, are consumed during production processes. Therefore, reducing the consumption of electrical energy in the production of products is an important and urgent task, the solution of which ensures a cost reduction of products and an increase in the competitiveness of the enterprise in various markets. The solution of this problem is complicated by the fact that the level of electricity consumption at a particular enterprise depends on many factors, one part of which is expressed in the form of quantitative data, and the other in the form of qualitative ones. In addition, both the first and second groups of data in most cases have uncertainty and incompleteness of the information used. These features create significant difficulties in obtaining reasonable and objective estimates of the efficiency of the use of electrical energy in industrial enterprises. Overcoming such difficulties is possible with the use of the mathematical apparatus of fuzzy logic. The results obtained make it possible to see objective and reasonable estimates of the influence of various factors, expressed both in quantitative and qualitative form, on the efficiency of electric energy consumption in the production processes of industrial enterprises. The use of such assessments will allow developing and applying effective measures to reduce electricity consumption. The implementation of the results of the work contributes to efficiency increase of electricity in industrial enterprises, which ensures an increase in its competitiveness.

show abstract

Systematization of Energy Efficiency Factors at Industrial Enterprises

Cited by 2 publications

References 0 publications

Model of fuzzy inference for energy efficiency evaluation at industrial enterprises

Model of fuzzy inference for energy efficiency evaluation at industrial enterprises

Model of Fuzzy Logic Accounting of Energy Efficiency Indicators of Industrial Enterprises

Contact Info

Product

Resources

About