TY  - CHAP
A1  - Oetringer, Kerstin
A1  - Dümmler, Andreas
A1  - Göttsche, Joachim
T1  - Neues Modell zur 1D-Simulation der indirekten Verdunstungskühlung
T2  - DKV‐Tagung 2020, AA II.1
Y1  - 2020
N1  - Deutsche Kälte- und Klimatagung 2020 online
SP  - 1
EP  - 13
ER  - 
TY  - CHAP
A1  - Dümmler, Andreas
A1  - Oetringer, Kerstin
A1  - Göttsche, Joachim
T1  - Auslegungstool zur energieeffizienten Kühlung von Gebäuden
T2  - DKV-Tagung 2020, AA IV
Y1  - 2020
N1  - Deutsche Kälte- und Klimatagung 2020 online
SP  - 1
EP  - 12
ER  - 
TY  - CHAP
A1  - Sattler, Johannes, Christoph
A1  - Caminos, Ricardo Alexander Chico
A1  - Ürlings, Nicolas
A1  - Dutta, Siddharth
A1  - Ruiz, Victor
A1  - Kalogirou, Soteris
A1  - Ktistis, Panayiotis
A1  - Agathokleous, Rafaela
A1  - Jung, Christian
A1  - Alexopoulos, Spiros
A1  - Atti, Vikrama Nagababu
A1  - Teixeira Boura, Cristiano José
A1  - Herrmann, Ulf
T1  - Operational experience and behaviour of a parabolic trough collector system with concrete thermal energy storage for process steam generation in Cyprus
T2  - AIP Conference Proceedings
Y1  - 2020
U6  - http://dx.doi.org/10.1063/5.0029278
IS  - 2303
SP  - 140004-1
EP  - 140004-10
ER  - 
TY  - CHAP
A1  - Rendon, Carlos
A1  - Schwager, Christian
A1  - Ghiasi, Mona
A1  - Schmitz, Pascal
A1  - Bohang, Fakhri
A1  - Caminos, Ricardo Alexander Chico
A1  - Teixeira Boura, Cristiano José
A1  - Herrmann, Ulf
T1  - Modeling and upscaling of a pilot bayonettube reactor for indirect solar mixed methane reforming
T2  - AIP Conference Proceedings
Y1  - 2020
U6  - http://dx.doi.org/10.1063/5.0029974
IS  - 2303
SP  - 170012-1
EP  - 170012-9
ER  - 
TY  - CHAP
A1  - Blanke, Tobias
A1  - Schmidt, Katharina S.
A1  - Göttsche, Joachim
A1  - Döring, Bernd
A1  - Frisch, Jérôme
A1  - van Treeck, Christoph
ED  - Weidlich, Anke
ED  - Neumann, Dirk
ED  - Gust, Gunther
ED  - Staudt, Philipp
ED  - Schäfer, Mirko
T1  - Time series aggregation for energy system design: review and extension of modelling seasonal storages
T2  - Energy Informatics
N2  - 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.
KW  - Energy system
KW  - Renewable energy
KW  - Mixed integer linear programming (MILP)
KW  - Typical periods
KW  - Time-series aggregation
Y1  - 2022
U6  - http://dx.doi.org/10.1186/s42162-022-00208-5
SN  - 2520-8942
N1  - Proceedings of the 11th DACH+ Conference on Energy Informatics, 15-16 September 2022, Freiburg, Germany.
VL  - 5
IS  - 1, Article number: 17
SP  - 1
EP  - 14
PB  - Springer Nature
ER  - 
TY  - CHAP
A1  - Duran Paredes, Ludwin
A1  - Mottaghy, Darius
A1  - Herrmann, Ulf
A1  - Groß, Rolf Fritz
T1  - Online ground temperature and soil moisture monitoring of a shallow geothermal system with non-conventional components
T2  - EGU General Assembly 2020
N2  - We present first results from a newly developed monitoring station for a closed loop geothermal heat pump test installation at our campus, consisting of helix coils and plate heat exchangers, as well as an ice-store system. There are more than 40 temperature sensors and several soil moisture content sensors distributed around the system, allowing a detailed monitoring under different operating conditions.In the view of the modern development of renewable energies along with the newly concepts known as Internet of Things and Industry 4.0 (high-tech strategy from the German government), we created a user-friendly web application, which will connect the things (sensors) with the open network (www). Besides other advantages, this allows a continuous remote monitoring of the data from the numerous sensors at an arbitrary sampling rate.Based on the recorded data, we will also present first results from numerical simulations, taking into account all relevant heat transport processes.The aim is to improve the understanding of these processes and their influence on the thermal behavior of shallow geothermal systems in the unsaturated zone. This will in turn facilitate the prediction of the performance of these systems and therefore yield an improvement in their dimensioning when designing a specific shallow geothermal installation.
Y1  - 2020
N1  - Online 4–8 May 2020 [Session ERE2.8] EGU2020-19052
ER  -