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@ARTICLE{Kotzur:834295,
      author       = {Kotzur, Leander and Markewitz, Peter and Robinius, Martin
                      and Stolten, Detlef},
      title        = {{I}mpact of {D}ifferent {T}ime {S}eries {A}ggregation
                      {M}ethods on {O}ptimal {E}nergy {S}ystem {D}esign},
      journal      = {Renewable energy},
      volume       = {117},
      issn         = {1309-0127},
      address      = {[Ankara]},
      publisher    = {Gazi Univ., Fac. of Technology, Dep. of Electrical $\&$
                      Electronics Eng.},
      reportid     = {FZJ-2017-04277},
      pages        = {474 - 487},
      year         = {2017},
      abstract     = {Modeling renewable energy systems is a
                      computationally-demanding task due to the high fluctuation
                      of supply and demand time series. To reduce the scale of
                      these, this paper discusses different methods for their
                      aggregation into typical periods. Each aggregation method is
                      applied to a different type of energy system model, making
                      the methods fairly incomparable.To overcome this, the
                      different aggregation methods are first extended so that
                      they can be applied to all types of multidimensional time
                      series and then compared by applying them to different
                      energy system configurations and analyzing their impact on
                      the cost optimal design.It was found that regardless of the
                      method, time series aggregation allows for significantly
                      reduced computational resources. Nevertheless, averaged
                      values lead to underestimation of the real system cost in
                      comparison to the use of representative periods from the
                      original time series. The aggregation method itself e.g.,
                      k-means clustering plays a minor role. More significant is
                      the system considered: Energy systems utilizing centralized
                      resources require fewer typical periods for a feasible
                      system design in comparison to systems with a higher share
                      of renewable feed-in. Furthermore, for energy systems based
                      on seasonal storage, currently existing models integration
                      of typical periods is not suitable.},
      cin          = {IEK-3},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)IEK-3-20101013},
      pnm          = {134 - Electrolysis and Hydrogen (POF3-134)},
      pid          = {G:(DE-HGF)POF3-134},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000416498700040},
      doi          = {10.1016/j.renene.2017.10.017},
      url          = {https://juser.fz-juelich.de/record/834295},
}