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针对低碳运营的数字双胞胎车间的能源足迹模型的构建和应用
Lei Zhang1, Cunbo Zhuang2, Ying Tian3
1School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China.
数字双胞胎车间 (DTW) 的新能源足迹模型 (EFM) 准确地描述了设备的能量波动和车间的能量演变. 这种方法优化了参数,以减少低碳制造环境中的能源消耗.
科学领域:
- 制造业 工程 制造工程
- 能源系统 能源系统
- 工业生态学 工业生态学
背景情况:
- 精确地描述低碳车间的能源消耗波动是一个挑战.
- 了解总能耗的动态演变对于效率至关重要.
研究的目的:
- 为数字双胞胎车间 (DTW) 提出能源足迹模型 (EFM) 的构建方法.
- 描述和可视化能源消耗的波动和动态演变在车间水平.
- 开发一个多目标优化功能,以减少车间的能源消耗.
主要方法:
- 开发了一个EFM,考虑设备的能量波动和设备之间的相关性.
- 为一个生产单位构建了一个EFM,使能量的动态可视化.
- 使用EFM,工具寿命,机器人稳定性和生产时间制定了一个多目标优化函数.
- 采用蜂群算法来解决优化问题.
主要成果:
- 成功描述和可视化设备的能源消耗波动和整体能源消耗动态.
- 实现了跨设备过程参数的协作优化.
- 在生产单位内有效降低能源消耗.
结论:
- 拟议的EFM施工方法准确地描述了DTW中的能源消耗动态.
- 开发的优化方法通过协作参数调整有效降低能源消耗.
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