An integrated scheduling and control scheme with two economic layers for demand side management of chemical processes
AIChE Journal, vol. 71
Abstract
Abstract Integrated dynamic scheduling (IDS) and economic nonlinear model predictive control (eNMPC) enable economic operation of chemical plants subject to volatile energy prices. Herein, we combine the two concepts into an integrated two‐layer scheme. Therein, IDS performs “long‐horizon” scheduling on a day‐ahead (DA) market and eNMPC “short‐horizon” improvements on an intra‐day (ID) market. A case study demonstrates 5% economic savings over stationary operation. In contrast, stand‐alone IDS and eNMPC using DA prices reach 1% and 2.5% savings, respectively. We identify arbitrage as the main driver generating the additional benefit. Additionally, we compare our scheme to stand‐alone eNMPC in three ID price scenarios, where our approach consistently realizes savings of 5%. Conversely, eNMPC is price sensitive with variable revenue between 1% higher costs and 10% savings. Finally, requiring significantly shorter prediction horizons than stand‐alone eNMPC, our approach eases price forecasting and enhances real‐time capability.
Authors 4
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Affiliation as printed
Process Systems Engineering (AVT.SVT) RWTH Aachen University Aachen Germany
Process Systems Engineering (AVT.SVT), RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Process Systems Engineering (AVT.SVT) RWTH Aachen University Aachen Germany
Process Systems Engineering (AVT.SVT), RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Process Systems Engineering (AVT.SVT) RWTH Aachen University Aachen Germany
Process Systems Engineering (AVT.SVT), RWTH Aachen University, Aachen, Germany
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Forschungszentrum Jülich · Jülich Aachen Research Alliance · RWTH Aachen University
Affiliation as printed
Energy Systems Engineering (ICE‐1) Forschungszentrum Jülich GmbH Jülich Germany
JARA‐ENERGY Jülich Aachen Research Alliance Aachen Germany
Process Systems Engineering (AVT.SVT) RWTH Aachen University Aachen Germany
Process Systems Engineering (AVT.SVT), RWTH Aachen University, Aachen, Germany
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