论文标题

用OptTopo的工业系统进行能力效率优化的分解

Decomposition of Industrial Systems for Energy Efficiency Optimization with OptTopo

论文作者

Thiele, Gregor, Johanni, Theresa, Sommer, David, Krüger, Jörg

论文摘要

工业设施的运作是一个广阔的优化领域。工厂通常由a)由几个组成部分组成,b)使用网络技术链接,c)物理互连和d)d)复杂在每个实体中设定点和操作点的效果。这导致了总体优化的可能性,但也导致了新兴优化问题的高复杂性。复杂系统的分解允许建模可以根据物理拓扑结构的单个模型。能量性能指标(ENPI)的方法有助于提出优化问题。优化算法OPTTOPO通过穿越整体系统的图表来实现有效的设定点。

The operation of industrial facilities is a broad field for optimization. Industrial plants are often a) composed of several components, b) linked using network technology, c) physically interconnected and d) complex regarding the effect of set-points and operating points in every entity. This leads to the possibility of overall optimization but also to a high complexity of the emerging optimization problems. The decomposition of complex systems allows the modeling of individual models which can be structured according to the physical topology. A method for energy performance indicators (EnPI) helps to formulate an optimization problem. The optimization algorithm OptTopo achieves efficient set-points by traversing a graph representation of the overall system.

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