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001     905455
005     20240712112904.0
024 7 _ |a arXiv:2110.08137
|2 arXiv
024 7 _ |a 2128/30354
|2 Handle
024 7 _ |a altmetric:115366773
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037 _ _ |a FZJ-2022-00696
100 1 _ |a Baader, Florian
|0 P:(DE-Juel1)176974
|b 0
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245 _ _ |a Dynamic Ramping for Demand Response of Processes and Energy Systems based on Exact Linearization
260 _ _ |c 2021
336 7 _ |a Preprint
|b preprint
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336 7 _ |a WORKING_PAPER
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336 7 _ |a Electronic Article
|0 28
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336 7 _ |a preprint
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336 7 _ |a ARTICLE
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336 7 _ |a Output Types/Working Paper
|2 DataCite
500 _ _ |a 26 pages, 9 figures
520 _ _ |a The increasing share of volatile renewable electricity production motivates demand response. Substantial potential for demand response is offered by flexible processes and their local multi-energy supply systems. Simultaneous optimization of their schedules can exploit the demand response potential, but leads to numerically challenging problems for nonlinear dynamic processes. In this paper, we propose to capture process dynamics using dynamic ramping constraints. In contrast to traditional static ramping constraints, dynamic ramping constraints are a function of the process state and can capture high-order dynamics. We derive dynamic ramping constraints rigorously for the case of single-input single-output processes that are exactly input-state linearizable. The resulting scheduling problem can be efficiently solved as a mixed-integer linear program. In a case study, we study two flexible reactors and a multi-energy system. The proper representation of process dynamics by dynamic ramping allows for faster transitions compared to static ramping constraints and thus higher economic benefits of demand response. The proposed dynamic ramping approach is sufficiently fast for application in online optimization.
536 _ _ |a 1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112)
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536 _ _ |a ESI - Energy Systems Integration (ESI-1720)
|0 G:(DE-HGF)ESI-1720
|c ESI-1720
|x 1
588 _ _ |a Dataset connected to arXivarXiv
700 1 _ |a Althaus, Philipp
|0 P:(DE-Juel1)180103
|b 1
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700 1 _ |a Bardow, André
|0 P:(DE-Juel1)172023
|b 2
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700 1 _ |a Dahmen, Manuel
|0 P:(DE-Juel1)172097
|b 3
|e Corresponding author
|u fzj
856 4 _ |u https://juser.fz-juelich.de/record/905455/files/2110.08137.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:905455
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a RWTH Aachen
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a ETH Zurich
|0 I:(DE-HGF)0
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910 1 _ |a Forschungszentrum Jülich
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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
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|v Digitalisierung und Systemtechnik
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914 1 _ |y 2021
915 _ _ |a OpenAccess
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