Simultaneous mixed-integer dynamic scheduling of processes and their energy systems
| Autor: | Baader, Florian Joseph, Bardow, André, Dahmen, Manuel |
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| Rok vydání: | 2021 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1002/aic.17741 |
| Popis: | 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 are discretized by collocation yielding a mixed-integer linear programming (MILP) formulation. We apply the scheduling method to three case studies: a multi-product reactor, a single-product reactor, and a single-product distillation column, demonstrating the applicability to multi-input multi-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. Comment: 30 pages, 17 figures, 2 tables |
| Databáze: | arXiv |
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