Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data Center
Energy consumption is the key factor leading to high operating costs in data center. In this paper, considering the data center service level under the premise of using electricity and gas as energy supply of energy supply and energy consumption from two angles, the data center energy scheduling mod...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/3917170 |
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| _version_ | 1832549047965057024 |
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| author | Xuehui Liu Guisheng Hou Lei Yang |
| author_facet | Xuehui Liu Guisheng Hou Lei Yang |
| author_sort | Xuehui Liu |
| collection | DOAJ |
| description | Energy consumption is the key factor leading to high operating costs in data center. In this paper, considering the data center service level under the premise of using electricity and gas as energy supply of energy supply and energy consumption from two angles, the data center energy scheduling model is built. The lower model is calculation scheduling model for the data center, and the upper model is data center energy supply scheduling model. Then the particle swarm algorithm is used to simulate the schedule. The results show that using natural gas as supplementary energy supply can effectively reduce the overall energy consumption of data center in considering the service delay level of data center. |
| format | Article |
| id | doaj-art-9247cfc816984bca8fd1ec1b05bf3417 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-9247cfc816984bca8fd1ec1b05bf34172025-02-03T06:12:25ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/3917170Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data CenterXuehui Liu0Guisheng Hou1Lei Yang2College of Economics and ManagementCollege of Economics and ManagementCollege of Economics and ManagementEnergy consumption is the key factor leading to high operating costs in data center. In this paper, considering the data center service level under the premise of using electricity and gas as energy supply of energy supply and energy consumption from two angles, the data center energy scheduling model is built. The lower model is calculation scheduling model for the data center, and the upper model is data center energy supply scheduling model. Then the particle swarm algorithm is used to simulate the schedule. The results show that using natural gas as supplementary energy supply can effectively reduce the overall energy consumption of data center in considering the service delay level of data center.http://dx.doi.org/10.1155/2022/3917170 |
| spellingShingle | Xuehui Liu Guisheng Hou Lei Yang Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data Center Discrete Dynamics in Nature and Society |
| title | Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data Center |
| title_full | Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data Center |
| title_fullStr | Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data Center |
| title_full_unstemmed | Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data Center |
| title_short | Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data Center |
| title_sort | dynamic combined optimal scheduling of electric energy and natural gas energy consumption in data center |
| url | http://dx.doi.org/10.1155/2022/3917170 |
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