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Dr.-Ing. Oliver Stoschek [u.a.] DHI Wasser und Umwelt GmbH, Syke. 14 S. (S. 45-58). Beitrag zum 2. Aachener Softwaretag in der Wasserwirtschaft <2, 2009, Aachen> Ökologische Modelle zur Berechnung der Temperaturveränderung und den Einfluss von Kühlwasser auf die Wassertemperatur der Elbe. Die vorgelegte Arbeit wurde beauftragt und unterstützt von der ARGE Elbe im Zuge der Neuauflage des Wärmelastplans Elbe.
Untersuchungen zur Tragfähigkeit und Steifigkeit eines neuartigen Wandelements in Holzbauweisen
(2018)
Turbulent dispersion in bounded horizontal jets : RANS capabilities and physical modeling comparison
(2016)
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.