Abstract
This paper proposes an approach for supporting the analysis of collected energy consumption data in combination with structured system models to reveal correlations between energy usage and related properties of products, operations and equipment. The described method serves as a starting point for the creation of tailored simulation models for energy consumption forecasts that can be used in the planning phase of manufacturing systems. Therefore several energy-oriented simulation methods are introduced and discussed regarding their suitability for different use cases in manufacturing engineering.
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CITATION STYLE
Wenzel, K., Riegel, J., Schlegel, A., & Putz, M. (2011). Semantic Web based dynamic energy analysis and forecasts in manufacturing engineering. In Glocalized Solutions for Sustainability in Manufacturing - Proceedings of the 18th CIRP International Conference on Life Cycle Engineering (pp. 507–512). Springer Science and Business Media, LLC. https://doi.org/10.1007/978-3-642-19692-8_88
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