TY - CHAP A1 - Rendon, Carlos A1 - Dieckmann, Simon A1 - Weidle, Mathias A1 - Dersch, Jürgen A1 - Teixeira Boura, Cristiano José A1 - Polklas, Thomas A1 - Kuschel, Marcus A1 - Herrmann, Ulf T1 - Retrofitting of existing parabolic trough collector power plants with molten salt tower systems T2 - AIP Conference Proceedings Y1 - 2018 U6 - https://doi.org/10.1063/1.5067030 VL - 2033 IS - 1 SP - 030014-1 EP - 030014-8 ER - TY - CHAP A1 - Thurn, Laura A1 - Gebhardt, Andreas T1 - Strategy of Education on Materials for Students T2 - Conference Proceedings: „New Perspectives in Science Education" Y1 - 2018 SN - 978-88-6292-976-9 SP - 156 EP - 161 CY - Florence, Italy ER - TY - CHAP A1 - Klocke, Martina T1 - Schulter an Schulter – Zusammenarbeit in einem differenzierten Hochschulsystem T2 - Lehre und Lehrentwicklung an Fachhochschulen – Festschrift für Prof. Dr. med. W. Huhn Y1 - 2018 SN - 978-3-8309-3782-1 SP - 75 EP - 80 PB - Waxmann CY - Münster ER - TY - BOOK A1 - Molinnus, Denise T1 - Integration of biomolecular logic principles with electronic transducers on a chip Y1 - 2018 PB - Philipps-Universität / Fachbereich Pharmazie CY - Marburg/Lahn ER - TY - CHAP A1 - Krome, Cornelia A1 - Sander, Volker T1 - Time series analysis with apache spark and its applications to energy informatics T2 - Proceedings of the 7th DACH+ Conference on Energy Informatics N2 - In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different applications in virtual power plant environments. Other examples of use as intraday price processes, load processes of machines or electric vehicles, real time energy loads of photovoltaic systems and many more time series need to be analysed and predicted. This work gives a short introduction into the project where this study is settled. It describes the time series methods that are used in energy industry for forecasts shortly. As programming technique Apache Spark, which is a strong cluster computing technology, is utilised. Today, single time series can be predicted. The focus of this work is on developing a method to parallel forecasting, to process multiple time series simultaneously with R and Apache Spark. Y1 - 2018 U6 - https://doi.org/10.1186/s42162-018-0043-1 N1 - Energy Informatics 2018, Volume 1 Supplement 1 ER - TY - THES A1 - Bhattarai, Aroj T1 - Constitutive modeling of female pelvic floor dysfunctions and reconstructive surgeries using prosthetic mesh implants Y1 - 2018 SN - 978-3-9818074-8-6 U6 - https://doi.org/10.17185/duepublico/70340 N1 - Duisburg-Essen, Univ., Diss., 2018 ER - TY - BOOK A1 - Fissabre, Anke A1 - Matcha, Heike T1 - KreuzPlus : zwei Kreuze und zwei Möbel für die Kreuzkirche in Heinsberg Y1 - 2018 SN - 978-3-9820371-0-3 PB - Fachbereich Architektur, FH Aachen, University of Applied Science CY - Aachen ER - TY - CHAP A1 - Blanke, Tobias A1 - Dring, Bernd A1 - Vontein, Marius A1 - Kuhnhenne, Markus T1 - Climate Change Mitigation Potentials of Vertical Building Integrated Photovoltaic T2 - 8th International Workshop on Integration of Solar Power into Power Systems : 16-17 October 2018, Stockholm, Sweden Y1 - 2018 SP - 1 EP - 7 ER - TY - JOUR A1 - Edip, K. A1 - Sesov, V. A1 - Butenweg, Christoph A1 - Bojadjieva, J. T1 - Development of coupled numerical model for simulation of multiphase soil JF - Computers and Geotechnics N2 - In this paper, a coupled multiphase model considering both non-linearities of water retention curves and solid state modeling is proposed. The solid displacements and the pressures of both water and air phases are unknowns of the proposed model. The finite element method is used to solve the governing differential equations. The proposed method is demonstrated through simulation of seepage test and partially consolidation problem. Then, implementation of the model is done by using hypoplasticity for the solid phase and analyzing the fully saturated triaxial experiments. In integration of the constitutive law error controlling is improved and comparisons done accordingly. In this work, the advantages and limitations of the numerical model are discussed. Y1 - 2018 U6 - https://doi.org/10.1016/j.compgeo.2017.08.016 SN - 0266-352X VL - 96 SP - 118 EP - 131 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Müller, Tim M. A1 - Altherr, Lena A1 - Ahola, Marja A1 - Schabel, Samuel A1 - Pelz, Peter F. T1 - Optimizing pressure screen systems in paper recycling: optimal system layout, component selection and operation N2 - Around 60% of the paper worldwide is made from recovered paper. Especially adhesive contaminants, so called stickies, reduce paper quality. To remove stickies but at the same time keep as many valuable fibers as possible, multi-stage screening systems with several interconnected pressure screens are used. When planning such systems, suitable screens have to be selected and their interconnection as well as operational parameters have to be defined considering multiple conflicting objectives. In this contribution, we present a Mixed-Integer Nonlinear Program to optimize system layout, component selection and operation to find a suitable trade-off between output quality and yield. KW - Mixed-integer nonlinear problem KW - MINLP KW - Process engineering KW - Paper recycling KW - Multi-criteria optimization Y1 - 2018 SN - 978-3-030-18499-5 U6 - https://doi.org/10.1007/978-3-030-18500-8_44 SP - 355 EP - 361 PB - Springer CY - Cham ER -