Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics
Abstract
:1. Introduction
2. Materials and Methods
- The types, quantity, and parameters of controlled components.
- The sequence, duration, and frequency of analysis of the state of the technological process and its power supply system.
- The accuracy of assessment of current parameters of the production process and its power supply system.
3. Results
- 1.
- By the time of control t, 65% of the planned production volume with power consumption should have been produced.
- 2.
- The actual process state (as measured by sensors and electricity meters) by control time t corresponds to an output of 50% .
- 3.
- The remaining amount of work to fulfill the output plan with the corresponding electricity consumption is determined to be 50%.
- 4.
- Actual deviations from the plan on output and power consumption , amounted to 15%.
- 5.
- It is required to increase the speed of the technological process, compared to the planned (calculated), to complete the task of production in the established time for a time equal to 35% of the total time of work .
- 6.
- If there are no restrictions on the amount of power consumption, then by increasing the speed of the technological process by 43% at the time interval , provided that all the technological regulations are observed, the plan for production output can be fulfilled by the time .
- 7.
- If at the time interval , there are failures of technological or electrical equipment in the power supply system, disruptions in the receipt of raw materials and components, as well as there is a deficit of active capacity in the power system, it is necessary to assess the probability of transition to a mode with increased speed of the technological process. According to retrospective statistical data for the enterprise under consideration and on the basis of the probability multiplication theorem for independent events .
- 8.
- If technological regulations allow the maximum speed of the technological process (due to the introduction of reserve equipment) to exceed the nominal one by 80%, then the minimum time required to fulfill the plan for production output by the time will be 56% of .
- 9.
- Based on this, it is possible to calculate the maximum time of possible delay in the start of production , which for the considered enterprise will amount to 44% of at the nominal speed of the technological process.
4. Discussion
Potential Areas of Development
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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B, kg | 1000 | 1100 | 1220 | 1350 |
W, MWh | 5.6 | 6.6 | 7.0 | 7.8 |
№ | B, ton | W, MWh | № | B, ton | W, MWh | № | B, ton | W, MWh |
---|---|---|---|---|---|---|---|---|
1 | 70.3 | 7.9 | 6 | 98.4 | 0.8 | 11 | 81.9 | 11.2 |
2 | 85.0 | 0.9 | 7 | 59.2 | 6.0 | 12 | 97.1 | 0.5 |
3 | 100.0 | 3.7 | 8 | 86.8 | 7.2 | 13 | 68.2 | 4.6 |
4 | 78.1 | 8.1 | 9 | 70.1 | 8.8 | 14 | 92.1 | 9.7 |
5 | 77.9 | 6.9 | 10 | 42.2 | 10.2 | 15 | 91.2 | 1.0 |
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Ilyushin, P.; Papkov, B.; Kulikov, A.; Suslov, K. Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics. Algorithms 2025, 18, 49. https://doi.org/10.3390/a18010049
Ilyushin P, Papkov B, Kulikov A, Suslov K. Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics. Algorithms. 2025; 18(1):49. https://doi.org/10.3390/a18010049
Chicago/Turabian StyleIlyushin, Pavel, Boris Papkov, Aleksandr Kulikov, and Konstantin Suslov. 2025. "Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics" Algorithms 18, no. 1: 49. https://doi.org/10.3390/a18010049
APA StyleIlyushin, P., Papkov, B., Kulikov, A., & Suslov, K. (2025). Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics. Algorithms, 18(1), 49. https://doi.org/10.3390/a18010049