Industrial Internet of Things enabled supply-side energy modelling for refined energy management in aluminium extrusions manufacturing
Industrial Internet of Things enabled supply-side energy modelling for refined energy management in aluminium extrusions manufacturing
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DOI：
10.1016/j.jclepro.2021.126882
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发表时间：
2021-06
影响因子：
11.1
通讯作者：
Chen Peng;T. Peng;Yang Liu;Martin Geissdoerfer;S. Evans;Renzhong Tang
中科院分区：
文献类型：
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作者：
Chen Peng;T. Peng;Yang Liu;Martin Geissdoerfer;S. Evans;Renzhong Tang
为了提高制造业的工业可持续性绩效，能源管理和优化是关键杠杆。铝型材制造业尤其如此--这是一种能源密集型生产系统，对环境影响巨大。许多能源管理和优化方法已被研究，以减轻这种负面影响。然而，这些方法的有效性受到损害，没有完善的供应方能源消费信息的支持。工业物联网提供了在其数据丰富的环境中获取精确能耗信息的机会，但也带来了一系列实施困难。现有的传感器无法直接获得特定作业粒度下的能耗。为获取精细化的能耗信息，提出了一种基于现有工业物联网设备的高耗能生产系统的供给侧能源建模方法。首先，提出了作业指定生产事件的概念，并设计了数据采集网络的布局，以获取事件元素。其次，建立了三种工艺模式下生产过程能耗的数学模型。第三，可以从数学模型导出多个制造要素维度的能耗信息，因此，容易对多个维度的能耗信息进行缩放。最后，通过一个精细化能源成本核算的案例，验证了模型的可行性。
To improve industrial sustainability performance in manufacturing, energy management and optimisation are key levers. This is particularly true for aluminium extrusions manufacturing —an energy-intensive production system with considerable environmental impacts. Many energy management and optimisation approaches have been studied to relieve such negative impact. However, the effectiveness of these approaches is compromised without the support of refined supply-side energy consumption information. Industrial internet of things provides opportunities to acquire refined energy consumption information in its data-rich environment but also poses a range of difficulties in implementation. The existing sensors cannot directly obtain the energy consumption at the granularity of a specific job. To acquire that refined energy consumption information, a supply-side energy modelling method based on existing industrial internet of things devices for energy-intensive production systems is proposed in this paper. First, the job-specified production event concept is proposed, and the layout of the data acquisition network is designed to obtain the event elements. Second, the mathematical models are developed to calculate the energy consumption of the production event in three process modes. Third, the energy consumption information of multiple manufacturing element dimensions can be derived from the mathematical models, and therefore, the energy consumption information on multiple dimensions is easily scaled. Finally, a case of refined energy cost accounting is studied to demonstrate the feasibility of the proposed models.