A discrete-time scheduling model for continuous power-intensive process networks with various power contracts |
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Affiliation: | 1. RWTH Aachen University, AVT - Aachener Verfahrenstechnik, Process Systems Engineering, 52074 Aachen, Germany;2. JARA-ENERGY, 52056 Aachen, Germany;3. Forschungszentrum Jülich, Energy Systems Engineering (IEK-10), 52425?Jülich, Germany;1. ABB Corporate Research, Wallstadter Str. 59, 68526 Ladenburg, Germany;2. Technische Universität Dortmund, Emil-Figge Str. 70, 44221 Dortmund, Germany;3. Linköping University, Campus Norrköping, SE-60174 Norrköping, Sweden;4. ABB Oy Industry Solutions, CPM, Strömbergintie 1 B, 00380 Helsinki, Finland |
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Abstract: | Increased volatility in electricity prices and new emerging demand side management opportunities call for efficient tools for the optimal operation of power-intensive processes. In this work, a general discrete-time model is proposed for the scheduling of power-intensive process networks with various power contracts. The proposed model consists of a network of processes represented by Convex Region Surrogate models that are incorporated in a mode-based scheduling formulation, for which a block contract model is considered that allows the modeling of a large variety of commonly used power contracts. The resulting mixed-integer linear programming model is applied to an illustrative example as well as to a real-world industrial test case. The results demonstrate the model's capability in representing the operational flexibility in a process network and different electricity pricing structures. Moreover, because of its computational efficiency, the model holds much promise for its use in a real industrial setting. |
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Keywords: | Production scheduling Demand side management Process networks Power contracts Mixed-integer linear programming |
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