論文ID: 25-00077
To reduce energy consumption in production systems, it is effective to evaluate energy-saving measures through simulations in advance. However, conventional methods require significant time and effort to construct and analyze multiple simulation models for different energy-saving measures configurations. Automating this process improves efficiency, but existing methods struggle with model complexity and reliance on human experience, risking the omission of effective measures. To address this challenge, we propose an automated approach using 1D-CAE models to systematically explore energy-saving configurations. Our method integrates engineering constraints in Alloy with Modelica-based simulation models to automatically generate and evaluate feasible system configurations. A key feature is a hierarchical constraint structure, where Modelica-dependent constraints are extended to define system-specific constraints, ensuring both syntactic validity in Modelica and physical relevance. We demonstrate this method using a 1D-CAE model of an injection molding machine, demonstrating a systematic exploration of energy-saving technologies.
