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| Home > Publications database > Simultaneous mixed-integer dynamic scheduling of processes and their energy systems > print |
| 001 | 905453 | ||
| 005 | 20240712112904.0 | ||
| 024 | 7 | _ | |a arXiv:2111.09842 |2 arXiv |
| 024 | 7 | _ | |a 2128/30361 |2 Handle |
| 024 | 7 | _ | |a altmetric:117176234 |2 altmetric |
| 037 | _ | _ | |a FZJ-2022-00694 |
| 100 | 1 | _ | |a Baader, Florian |0 P:(DE-Juel1)176974 |b 0 |u fzj |
| 245 | _ | _ | |a Simultaneous mixed-integer dynamic scheduling of processes and their energy systems |
| 260 | _ | _ | |c 2021 |
| 336 | 7 | _ | |a Preprint |b preprint |m preprint |0 PUB:(DE-HGF)25 |s 1642515594_6596 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a WORKING_PAPER |2 ORCID |
| 336 | 7 | _ | |a Electronic Article |0 28 |2 EndNote |
| 336 | 7 | _ | |a preprint |2 DRIVER |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a Output Types/Working Paper |2 DataCite |
| 500 | _ | _ | |a 25 pages, 14 figures, 3 tables |
| 520 | _ | _ | |a Increasingly volatile electricity prices make simultaneous scheduling optimization for production processes and their energy supply systems desirable. Simultaneous scheduling needs to account for both process dynamics and binary on/off-decisions in the energy system and thus leads to challenging mixed-integer dynamic optimization problems. In this contribution, we propose an efficient scheduling formulation that consists 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 a single-product reactor, with 5.6% economic improvement compared to steady-state operation, and a multi-product reactor, with 5.2% improvement compared to sequential scheduling. While capturing 85% and 96% of the improvement realized by a nonlinear optimization, the MILP formulation achieves optimization runtimes sufficiently fast for real-time scheduling. |
| 536 | _ | _ | |a 1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112) |0 G:(DE-HGF)POF4-1121 |c POF4-112 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to arXivarXiv |
| 700 | 1 | _ | |a Bardow, André |0 P:(DE-Juel1)172023 |b 1 |u fzj |
| 700 | 1 | _ | |a Dahmen, Manuel |0 P:(DE-Juel1)172097 |b 2 |e Corresponding author |u fzj |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/905453/files/2111.09842.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:905453 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)176974 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 0 |6 P:(DE-Juel1)176974 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)172023 |
| 910 | 1 | _ | |a ETH Zurich |0 I:(DE-HGF)0 |b 1 |6 P:(DE-Juel1)172023 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)172097 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Energiesystemdesign (ESD) |1 G:(DE-HGF)POF4-110 |0 G:(DE-HGF)POF4-112 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Digitalisierung und Systemtechnik |9 G:(DE-HGF)POF4-1121 |x 0 |
| 914 | 1 | _ | |y 2021 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IEK-10-20170217 |k IEK-10 |l Modellierung von Energiesystemen |x 0 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a preprint |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)IEK-10-20170217 |
| 981 | _ | _ | |a I:(DE-Juel1)ICE-1-20170217 |
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