In the light of growing renewable energy generation, demand side management (DSM) has been recognized as one of the key enablers for the energy transition. In order to offer the highest potential for grid stabilization regarding DSM, industrial processes must be designed for the requirement relating thereto. This work focuses on the design of an air separation unit (ASU), whereby design decisions are assessed via operational simulations based on a scheduling formulation. To improve these simulations in terms of simulation accuracy and computing speed, an approach is proposed to embed a realistic plant description into a mixed-integer linear programming-based discrete-time scheduling formulation. This approach is subsequently used to integrate a temperature-dependent plant performance of an ASU into a sophisticated scheduling formulation. The resulting model is applied to investigate whether the temperature-dependent performance has a significant effect on the operational scheduling and, perhaps, even on the design of an ASU.

鉴于可再生能源发电的增长，需求侧管理（DSM）已被认为是能源过渡的关键推动力之一。为了在DSM方面为电网稳定提供最大的潜力，必须针对相关要求设计工业流程。这项工作着重于空分单元（ASU）的设计，从而通过基于调度公式的运行模拟来评估设计决策。为了在仿真精度和计算速度方面改善这些仿真，提出了一种将现实的工厂描述嵌入基于混合整数线性规划的离散时间调度公式中的方法。该方法随后用于将ASU的温度相关工厂性能集成到复杂的调度公式中。