A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector Transformation
This paper addresses electricity consumption management in manufacturing enterprises. The research aims to provide manufacturing enterprises with an effective tool to control electricity costs. Recently, some factors have been observed to affect the rapid changes in the operating conditions of enter...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/9/3013 |
| _version_ | 1797505149444292608 |
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| author | Justyna Smagowicz Cezary Szwed Dawid Dąbal Pavel Scholz |
| author_facet | Justyna Smagowicz Cezary Szwed Dawid Dąbal Pavel Scholz |
| author_sort | Justyna Smagowicz |
| collection | DOAJ |
| description | This paper addresses electricity consumption management in manufacturing enterprises. The research aims to provide manufacturing enterprises with an effective tool to control electricity costs. Recently, some factors have been observed to affect the rapid changes in the operating conditions of enterprises. These include the transformation of the power sector toward renewable energy, the disruption of supply chains resulting from a coronavirus pandemic, political crises, and process automation. A method for the analysis and management of electricity consumption in enterprises based on simulation modeling is proposed. The simulation model contains predefined objects representing physical system elements and the data processing algorithm. The production order execution time, energy consumption, employee overtime, and machine load are included in the model. The results show that it is possible to determine the level of power available for the process completion and its influence on the production volume and realization time. In the studied case, when the available power was reduced by half, there was an increase in order execution time of nearly 25 percent and an increase in energy consumption of nearly 15 percent. The method can be used in the operational activities of enterprises as well as extended to different types of production processes. |
| first_indexed | 2024-03-10T04:14:29Z |
| format | Article |
| id | doaj.art-d01acd06ad8b43f6b01246f7f6d758d4 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:14:29Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-d01acd06ad8b43f6b01246f7f6d758d42023-11-23T08:05:17ZengMDPI AGEnergies1996-10732022-04-01159301310.3390/en15093013A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector TransformationJustyna Smagowicz0Cezary Szwed1Dawid Dąbal2Pavel Scholz3Faculty of Management, Warsaw University of Technology, 02-524 Warsaw, PolandFaculty of Management, Warsaw University of Technology, 02-524 Warsaw, PolandInterMarium Ltd., 31-548 Kraków, PolandFaculty of Mechanical Engineering, Czech Technical University in Prague, 166 07 Prague, Czech RepublicThis paper addresses electricity consumption management in manufacturing enterprises. The research aims to provide manufacturing enterprises with an effective tool to control electricity costs. Recently, some factors have been observed to affect the rapid changes in the operating conditions of enterprises. These include the transformation of the power sector toward renewable energy, the disruption of supply chains resulting from a coronavirus pandemic, political crises, and process automation. A method for the analysis and management of electricity consumption in enterprises based on simulation modeling is proposed. The simulation model contains predefined objects representing physical system elements and the data processing algorithm. The production order execution time, energy consumption, employee overtime, and machine load are included in the model. The results show that it is possible to determine the level of power available for the process completion and its influence on the production volume and realization time. In the studied case, when the available power was reduced by half, there was an increase in order execution time of nearly 25 percent and an increase in energy consumption of nearly 15 percent. The method can be used in the operational activities of enterprises as well as extended to different types of production processes.https://www.mdpi.com/1996-1073/15/9/3013electricity consumptionsimulation modelingproduction managementmanufacturing company |
| spellingShingle | Justyna Smagowicz Cezary Szwed Dawid Dąbal Pavel Scholz A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector Transformation Energies electricity consumption simulation modeling production management manufacturing company |
| title | A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector Transformation |
| title_full | A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector Transformation |
| title_fullStr | A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector Transformation |
| title_full_unstemmed | A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector Transformation |
| title_short | A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector Transformation |
| title_sort | simulation model of power demand management by manufacturing enterprises under the conditions of energy sector transformation |
| topic | electricity consumption simulation modeling production management manufacturing company |
| url | https://www.mdpi.com/1996-1073/15/9/3013 |
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