@inproceedings{AchenbachBoschBreitbachetal.2013,
  author    = {Achenbach, Timm and Bosch, Timo and Breitbach, Gerd and G{\"o}ttsche, Joachim and Sauerborn, Markus},
  title     = {Theoretical and experimental investigations regarding open volumetric receivers of CRS},
  series = {Energy procedia : proceedings of the SolarPACES 2013 International Conference},
  volume    = {Vol. 49},
  booktitle = {Energy procedia : proceedings of the SolarPACES 2013 International Conference},
  issn      = {1876-6102},
  pages     = {1259 -- 1268},
  year      = {2013},
  language  = {en}
}
@inproceedings{BlankeSchmidtGoettscheetal.2022,
  author    = {Blanke, Tobias and Schmidt, Katharina S. and G{\"o}ttsche, Joachim and D{\"o}ring, Bernd and Frisch, J{\´e}r{\^o}me and van Treeck, Christoph},
  title     = {Time series aggregation for energy system design: review and extension of modelling seasonal storages},
  series = {Energy Informatics},
  volume    = {5},
  booktitle = {Energy Informatics},
  number    = {1, Article number: 17},
  editor    = {Weidlich, Anke and Neumann, Dirk and Gust, Gunther and Staudt, Philipp and Sch{\"a}fer, Mirko},
  publisher = {Springer Nature},
  issn      = {2520-8942},
  doi       = {10.1186/s42162-022-00208-5},
  pages     = {1 -- 14},
  year      = {2022},
  abstract  = {Using optimization to design a renewable energy system has become a computationally demanding task as the high temporal fluctuations of demand and supply arise within the considered time series. The aggregation of typical operation periods has become a popular method to reduce effort. These operation periods are modelled independently and cannot interact in most cases. Consequently, seasonal storage is not reproducible. This inability can lead to a significant error, especially for energy systems with a high share of fluctuating renewable energy. The previous paper, "Time series aggregation for energy system design: Modeling seasonal storage", has developed a seasonal storage model to address this issue. Simultaneously, the paper "Optimal design of multi-energy systems with seasonal storage" has developed a different approach. This paper aims to review these models and extend the first model. The extension is a mathematical reformulation to decrease the number of variables and constraints. Furthermore, it aims to reduce the calculation time while achieving the same results.},
  language  = {en}
}
@article{WarerkarSchmitzGoettscheetal.2007,
  author    = {Warerkar, Shashikant and Schmitz, Stefan and G{\"o}ttsche, Joachim and Hoffschmidt, Bernhard},
  title     = {Wirtschaftlich und flexibel : Luft-Sand-W{\"a}rme{\"u}bertrager f{\"u}r die Energiespeicherung bei Temperaturen bis 800 °C},
  series = {Verfahrenstechnik. 41 (2007), H. 4},
  journal   = {Verfahrenstechnik. 41 (2007), H. 4},
  isbn      = {0175-5315},
  pages     = {72 -- 73},
  year      = {2007},
  language  = {de}
}
@article{SchossigDoetschDruecketal.2005,
  author    = {Schossig, Peter and D{\"o}tsch, Christian and Dr{\"u}ck, Harald and G{\"o}ttsche, Joachim and Huenges, Ernst and Kabus, Frank and Tamme, Rainer},
  title     = {W{\"a}rmespeicher f{\"u}r die Hausenergieversorgung},
  series = {W{\"a}rme und K{\"a}lte - Energie aus Sonne und Erde : Jahrestagung des Forschungsverbunds Sonnenenergie in Kooperation mit der Landesinitiative Zukunftsenergie NRW / Stadermann, Gerd, Hrsg.},
  journal   = {W{\"a}rme und K{\"a}lte - Energie aus Sonne und Erde : Jahrestagung des Forschungsverbunds Sonnenenergie in Kooperation mit der Landesinitiative Zukunftsenergie NRW / Stadermann, Gerd, Hrsg.},
  publisher = {Forschungsverbund Sonnenenergie},
  address   = {Berlin},
  pages     = {120 -- 125},
  year      = {2005},
  language  = {de}
}