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@ARTICLE{Germscheid:1021697,
      author       = {Germscheid, Sonja and Nilges, Benedikt and von der Assen,
                      Niklas and Mitsos, Alexander and Dahmen, Manuel},
      title        = {{O}ptimal design of a local renewable electricity supply
                      system for power-intensive production processes with demand
                      response},
      publisher    = {arXiv},
      reportid     = {FZJ-2024-00943},
      year         = {2024},
      abstract     = {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.},
      keywords     = {Optimization and Control (math.OC) (Other) / FOS:
                      Mathematics (Other)},
      cin          = {IEK-10},
      cid          = {I:(DE-Juel1)IEK-10-20170217},
      pnm          = {1121 - Digitalization and Systems Technology for
                      Flexibility Solutions (POF4-112) / HGF-ZT-I-0029 - Helmholtz
                      UQ: Uncertainty Quantification - from data to reliable
                      knowledge (HGF-ZT-I-0029)},
      pid          = {G:(DE-HGF)POF4-1121 / G:(DE-Ds200)HGF-ZT-I-0029},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.48550/ARXIV.2401.12759},
      url          = {https://juser.fz-juelich.de/record/1021697},
}