Data-driven Energy Consumption Modeling and Simulation Method of Discrete Manufacturing Workshop Based on Simplified Power Curve

As a core part of industrial production, the management of energy consumption (EC) in discrete manufacturing workshops (DMWs) is critical to improving productivity, reducing costs, and minimizing environmental impact. This paper provides an in-depth study of EC in DMWs, which is categorized into two main groups: work EC and public EC. The work EC includes basic energy, manufacturing energy and transportation energy, and each EC is analyzed and modeled in detail. Different analysis methods are proposed for the two levels of concern, process level and technological level. Based on these analyses, a shop-floor level energy calculation method based on simplified power curves and a data-driven power modeling approach are proposed for constructing accurate shop-floor energy models. Taking typical manufacturing and transportation equipment such as NC machine tools and AGVs as examples, the various power characteristics in the work EC are analyzed and the corresponding models are established. The experimental results show that a better power modeling accuracy can be obtained by using the data-driven method.