The rising share of variable renewable electricity in Germany has increased price volatility, emphasizing the need for demand response. This study introduces an execution service within Energy-Aware Production Scheduling (EAPS), using OPC UA for automated schedule implementation. Based on real industrial data, machine states and energy use are modeled, enabling a cyber-physical system to optimize makespan, energy costs, and peak load. Simulations show a 6 % energy cost reduction compared to the Shortest Processing Time dispatching rule. Successful integration with four simulated OPC UA servers confirms system stability, demonstrating the enhanced EAPS architecture's potential for automated, energy-flexible, and sustainable manufacturing.
Science Journal 