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@ARTICLE{Baumgrtner:877607,
      author       = {Baumgärtner, Nils and Bahl, Björn and Hennen, Maike and
                      Bardow, André},
      title        = {{R}i{SES}3: {R}igorous {S}ynthesis of {E}nergy {S}upply and
                      {S}torage {S}ystems via time-series relaxation and
                      aggregation},
      journal      = {Computers $\&$ chemical engineering},
      volume       = {127},
      issn         = {0098-1354},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-02322},
      pages        = {127 - 139},
      year         = {2019},
      abstract     = {Synthesis of energy systems is a complex task typically
                      depending on multiple large time series for demands, prices
                      and resources. Problem complexity increases further by
                      time-coupling constraints, e.g., due to storage systems. To
                      still efficiently solve complex synthesis problems, we
                      propose the rigorous synthesis method RiSES3. RiSES3
                      provides feasible solutions (upper bounds) with known
                      quality (lower bounds). Lower bounds are obtained by two
                      competitive approaches: linear-programming relaxation and
                      relaxation based on time-series aggregation. To obtain a
                      feasible design for the energy system, we use time-series
                      aggregation and subsequently solve an operational problem
                      yielding an upper bound. To tighten the bounds, we
                      iteratively increase the resolution of the time-series
                      aggregation and tighten the relaxation. RiSES3 is applied to
                      two industrial synthesis problems of energy systems with
                      time-coupling constraints, storage systems and volatile
                      prices. RiSES3 shows fast convergence, outperforming a
                      commercial state-of-the-art solver.},
      cin          = {IEK-10},
      ddc          = {660},
      cid          = {I:(DE-Juel1)IEK-10-20170217},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000470829700011},
      doi          = {10.1016/j.compchemeng.2019.02.006},
      url          = {https://juser.fz-juelich.de/record/877607},
}