@incollection{Klocke2018,
  author    = {Klocke, Martina},
  title     = {Schulter an Schulter - Zusammenarbeit in einem differenzierten Hochschulsystem},
  series = {Lehre und Lehrentwicklung an Fachhochschulen - Festschrift f{\"u}r Prof. Dr. med. W. Huhn},
  booktitle = {Lehre und Lehrentwicklung an Fachhochschulen - Festschrift f{\"u}r Prof. Dr. med. W. Huhn},
  publisher = {Waxmann},
  address   = {M{\"u}nster},
  isbn      = {978-3-8309-3782-1},
  pages     = {75 -- 80},
  year      = {2018},
  language  = {de}
}
@book{Molinnus2018,
  author    = {Molinnus, Denise},
  title     = {Integration of biomolecular logic principles with electronic transducers on a chip},
  publisher = {Philipps-Universit{\"a}t / Fachbereich Pharmazie},
  address   = {Marburg/Lahn},
  year      = {2018},
  language  = {de}
}
@inproceedings{KromeSander2018,
  author    = {Krome, Cornelia and Sander, Volker},
  title     = {Time series analysis with apache spark and its applications to energy informatics},
  series = {Proceedings of the 7th DACH+ Conference on Energy Informatics},
  booktitle = {Proceedings of the 7th DACH+ Conference on Energy Informatics},
  doi       = {10.1186/s42162-018-0043-1},
  year      = {2018},
  abstract  = {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.},
  language  = {en}
}
@phdthesis{Bhattarai2018,
  author    = {Bhattarai, Aroj},
  title     = {Constitutive modeling of female pelvic floor dysfunctions and reconstructive surgeries using prosthetic mesh implants},
  isbn      = {978-3-9818074-8-6},
  doi       = {10.17185/duepublico/70340},
  pages     = {192 S.},
  year      = {2018},
  language  = {en}
}
@book{FissabreMatcha2018,
  author    = {Fissabre, Anke and Matcha, Heike},
  title     = {KreuzPlus : zwei Kreuze und zwei M{\"o}bel f{\"u}r die Kreuzkirche in Heinsberg},
  publisher = {Fachbereich Architektur, FH Aachen, University of Applied Science},
  address   = {Aachen},
  isbn      = {978-3-9820371-0-3},
  pages     = {50 Seiten},
  year      = {2018},
  language  = {de}
}
@inproceedings{BlankeDringVonteinetal.2018,
  author    = {Blanke, Tobias and Dring, Bernd and Vontein, Marius and Kuhnhenne, Markus},
  title     = {Climate Change Mitigation Potentials of Vertical Building Integrated Photovoltaic},
  series = {8th International Workshop on Integration of Solar Power into Power Systems : 16-17 October 2018, Stockholm, Sweden},
  booktitle = {8th International Workshop on Integration of Solar Power into Power Systems : 16-17 October 2018, Stockholm, Sweden},
  pages     = {1 -- 7},
  year      = {2018},
  language  = {en}
}
@article{EdipSesovButenwegetal.2018,
  author    = {Edip, K. and Sesov, V. and Butenweg, Christoph and Bojadjieva, J.},
  title     = {Development of coupled numerical model for simulation of multiphase soil},
  series = {Computers and Geotechnics},
  volume    = {96},
  journal   = {Computers and Geotechnics},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0266-352X},
  doi       = {10.1016/j.compgeo.2017.08.016},
  pages     = {118 -- 131},
  year      = {2018},
  abstract  = {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.},
  language  = {en}
}
@incollection{MuellerAltherrAholaetal.2018,
  author    = {M{\"u}ller, Tim M. and Altherr, Lena and Ahola, Marja and Schabel, Samuel and Pelz, Peter F.},
  title     = {Optimizing pressure screen systems in paper recycling: optimal system layout, component selection and operation},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-18499-5},
  doi       = {10.1007/978-3-030-18500-8_44},
  pages     = {355 -- 361},
  year      = {2018},
  abstract  = {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.},
  language  = {en}
}
@article{SunAltherrPeietal.2018,
  author    = {Sun, Hui and Altherr, Lena and Pei, Ji and Pelz, Peter F. and Yuan, Shouqi},
  title     = {Optimal booster station design and operation under uncertain load},
  series = {Applied Mechanics and Materials},
  volume    = {885},
  journal   = {Applied Mechanics and Materials},
  publisher = {Trans Tech Publications},
  address   = {B{\"a}ch},
  issn      = {1662-7482},
  doi       = {10.4028/www.scientific.net/AMM.885.102},
  pages     = {102 -- 115},
  year      = {2018},
  abstract  = {Given industrial applications, the costs for the operation and maintenance of a pump system typically far exceed its purchase price. For finding an optimal pump configuration which minimizes not only investment, but life-cycle costs, methods like Technical Operations Research which is based on Mixed-Integer Programming can be applied. However, during the planning phase, the designer is often faced with uncertain input data, e.g. future load demands can only be estimated. In this work, we deal with this uncertainty by developing a chance-constrained two-stage (CCTS) stochastic program. The design and operation of a booster station working under uncertain load demand are optimized to minimize total cost including purchase price, operation cost incurred by energy consumption and penalty cost resulting from water shortage. We find optimized system layouts using a sample average approximation (SAA) algorithm, and analyze the results for different risk levels of water shortage. By adjusting the risk level, the costs and performance range of the system can be balanced, and thus the system's resilience can be engineered},
  language  = {en}
}
@inproceedings{LeiseAltherr2018,
  author    = {Leise, Philipp and Altherr, Lena},
  title     = {Optimizing the design and control of decentralized water supply systems - a case-study of a hotel building},
  series = {EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization},
  booktitle = {EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-97773-7},
  doi       = {10.1007/978-3-319-97773-7_107},
  pages     = {1241 -- 1252},
  year      = {2018},
  abstract  = {To increase pressure to supply all floors of high buildings with water, booster stations, normally consisting of several parallel pumps in the basement, are used. In this work, we demonstrate the potential of a decentralized pump topology regarding energy savings in water supply systems of skyscrapers. We present an approach, based on Mixed-Integer Nonlinear Programming, that allows to choose an optimal network topology and optimal pumps from a predefined construction kit comprising different pump types. Using domain-specific scaling laws and Latin Hypercube Sampling, we generate different input sets of pump types and compare their impact on the efficiency and cost of the total system design. As a realistic application example, we consider a hotel building with 325 rooms, 12 floors and up to four pressure zones.},
  language  = {en}
}