Simultaneous mixed-integer dynamic scheduling of processes and their energy systems

作     者：Baader, Florian Joseph Bardow, Andre Dahmen, Manuel 

作者机构：Forschungszentrum Julich Inst Energy & Climate Res Energy Syst Engn IEK 10 D-52425 Julich Germany Rhein Westfal TH Aachen Fac Mech Engn Aachen Germany Swiss Fed Inst Technol Energy & Proc Syst Engn Zurich Switzerland Rhein Westfal TH Aachen Inst Tech Thermodynam Aachen Germany 

出 版 物：《AICHE JOURNAL》 (AIChE J.)

年 卷 期：2022年第68卷第8期

核心收录：

学科分类：0817[工学-化学工程与技术] 08[工学] 

基　　金：Helmholtz Association Projekt DEAL 

主　　题：demand response integration of scheduling and control mixed-integer dynamic optimization mixed-integer linear programming simultaneous scheduling 

摘      要：Increasingly volatile electricity prices make simultaneous scheduling optimization desirable for production processes and their energy systems. Simultaneous scheduling needs to account for both process dynamics and binary on/off-decisions in the energy system leading to challenging mixed-integer dynamic optimization problems. We propose an efficient scheduling formulation consisting of three parts: a linear scale-bridging model for the closed-loop process output dynamics, a data-driven model for the process energy demand, and a mixed-integer linear model for the energy system. Process dynamics is discretized by collocation yielding a mixed-integer linear programming (MILP) formulation. We apply the scheduling method to three case studies: a multiproduct reactor, a single-product reactor, and a single-product distillation column, demonstrating the applicability to multiple input multiple output processes. For the first two case studies, we can compare our approach to nonlinear optimization and capture 82% and 95% of the improvement. The MILP formulation achieves optimization runtimes sufficiently fast for real-time scheduling.