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@PHDTHESIS{Roscher:785718,
      author       = {Roscher, Björn},
      othercontributors = {Schelenz, Ralf and Schröder, Kai-Uwe},
      title        = {{M}ulti-dimensionale {W}indparkoptimierung in der
                      {P}lanungsphase; 1. {A}uflage},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {Verlagsgruppe Mainz},
      reportid     = {RWTH-2020-03444},
      isbn         = {3-95886-332-9},
      pages        = {XIV, 119 Seiten : Illustrationen, Diagramme, Karten},
      year         = {2020},
      note         = {Zweitveröffentlicht auf dem Publikationsserver der RWTH
                      Aachen University; Dissertation, RWTH Aachen University,
                      2020},
      abstract     = {Renewable energies are being further expanded within the
                      framework of energy change. However, this expansion does not
                      come without a price. In contrast to conventional power
                      plants, renewable energies require more space to provide the
                      energy. The building area is limited and must therefore be
                      used effectively.Currently, the positions of the wind
                      turbines (WT) are first determined in the design phase. The
                      wind turbine characteristics are then selected. This
                      approach leads to a local optimum.In the context of this
                      work, a simulation environment was developed which
                      determines the optimal WT placement taking the WT
                      configuration (hub height, rotor diameter and rated power)
                      into account. Thus, the optimal configuration is determined
                      for each possible layout. By evaluating the different local
                      optima, a global optimum for the available area can be
                      determined.Core of the dissertation is the development of a
                      simulation environment with a high usability. The
                      optimization should reflect an approximation of the optimum
                      within a short computing time. Thus, an application in the
                      industry is possible.The determined wind farm layouts are
                      validated with literature and existing projects.},
      cin          = {412010},
      ddc          = {620},
      cid          = {$I:(DE-82)412010_20140620$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2020-03444},
      url          = {https://publications.rwth-aachen.de/record/785718},
}