001     1021697
005     20240712112905.0
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024 7 _ |a 10.34734/FZJ-2024-00943
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037 _ _ |a FZJ-2024-00943
100 1 _ |a Germscheid, Sonja
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245 _ _ |a Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response
260 _ _ |c 2024
|b arXiv
336 7 _ |a Preprint
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520 _ _ |a This work studies synergies arising from combining industrial demand response and local renewable electricity supply. To this end, we optimize the design of a local electricity generation and storage system with an integrated demand response scheduling of a continuous power-intensive production process in a multi-stage problem. We optimize both total annualized cost and global warming impact and consider local photovoltaic and wind electricity generation, an electric battery, and electricity trading on day-ahead and intraday market. We find that installing a battery can reduce emissions and enable large trading volumes on the electricity markets, but significantly increases cost. Economic and ecologic process and battery operation are driven primarily by the electricity price and grid emission factor, respectively, rather than locally generated electricity. A parameter study reveals that economic savings from the local system and flexibilizing the process behave almost additive.
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536 _ _ |a HGF-ZT-I-0029 - Helmholtz UQ: Uncertainty Quantification - from data to reliable knowledge (HGF-ZT-I-0029)
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588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Optimization and Control (math.OC)
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650 _ 7 |a FOS: Mathematics
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700 1 _ |a Nilges, Benedikt
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700 1 _ |a von der Assen, Niklas
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700 1 _ |a Mitsos, Alexander
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700 1 _ |a Dahmen, Manuel
|0 P:(DE-Juel1)172097
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773 _ _ |a 10.48550/ARXIV.2401.12759
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913 1 _ |a DE-HGF
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