Prof. Dr. Kai Velten

Function: Head of Institute
Organizational Unit(s):Department of Modeling & Systems AnalysisProfessorship for Mathematics, Statistics, Mathematical Modeling and Simulation

Contact:
Phone: +49 6722 502 734
eMail: Kai.Velten(at)hs-gm.de

Postal Address:Von-Lade-Straße 1
D-65366 Geisenheim

Address: Building 6101
Room 01.11
Von-Lade-Straße 2
65366 Geisenheim

Wefers W.M., Lehnert L.W., Schmidt D., Reuter M., Buchwitz M., Kammann C., Velten K., Hase F., Notholt J., Kubistin D., Mueller-Williams J., Lindauer M. (2023): Approximation of multi-year time series of XCO2 concentrations using satellite observations and statistical interpolation methods. Atmospheric Research 294 DOI: 10.1016/j.atmosres.2023.106965

Tück S., Flüthmann N., Schmidt D., Lindemann B., Velten K., Koziorowski T. (2023): Digital Twin-Assisted Optimization of the Coffee Roasting Process. Hanoi 29 S. 78

Bartsch J., Borzi A., Müller J., Schenk C., Schmidt D., Schulz V., Velten K. (2022): Energy Conservation for Wine Fermentation. 978-3-030-81454-0

Müller J., Schmidt D., Velten K. (2022): Modelling and Simulation of Tank Mixing. 978-3-030-81454-0

Velten K. (2021): Alles geht!. 978-3347381377

Müller J., Schenk C., Keicher R., Schmidt D., Schulz V., Velten K. (2020): Optimization of an externally mixed biogas plant using a robust CFD method. Computers and Electronics in Agriculture 171 DOI: 10.1016/j.compag.2020.105294

Bartsch J., Borzì A., Schenk C., Schmidt D., Müller J., Schulz V., Velten K. (2019): An extended model of wine fermentation including aromas and acids. DOI: arXiv:1901.03659

Schmidt D.M., Velten K., Kahlen K. (2018): Assessing Fluctuating Asymmetry of Cucumis sativus Leaves for Virtual Plant Models. MDPI AG DOI: 10.3390/proceedings2010048

Schmidt D.M., Freund M., Velten K. (2018): End-User Software for Efficient Sensor Placement in Jacketed Wine Tanks. Fermentation 4 (2) DOI: 10.3390/fermentation4020042

Velten K. (2018): GmLinux Video Tutorials and Examples.

Schrittenlocher S., Bachmann B., Tiurbe A.M., Tuac O., Velten K., Schmidt D., Cursiefen C. (2018): Impact of preoperative visual acuity on Descemet Membrane Endothelial Keratoplasty (DMEK) outcome. Graefe's Archive for Clinical and Experimental Ophthalmology S. 321 - 329. DOI: 10.1007/s00417-018-4193-4

Mueller J., Schmidt D., Velten K. (2018): Transient boundary condition approach for simulating mechanical mixing in large wine tanks. Computers and Electronics in Agriculture 150 S. 143 - 151. DOI: 10.1016/j.compag.2018.04.012

Schmidt D., Velten K. (2016): Numerical simulation of bubble flow homogenization in industrial scale wine fermentations. Food and Bioproducts Processing 100 S. 102 - 117. DOI: 10.1016/j.fbp.2016.06.008

Müller J., Velten K. (2015): Application of computational fluid dynamics for the optimization of homogenization processes in wine tanks. EDP Sciences DOI: 10.1051/bioconf/20150502014

Schmidt D.M., Velten K. (2015): Modeling and simulation of the bubble-induced flow in wine fermentation vessels. EDP Sciences DOI: 10.1051/bioconf/20150502015

Velten K., Müller J., Schmidt D.M. (2015): New methods to optimize wine production at all stages from vineyard to bottle. EDP Sciences DOI: 10.1051/bioconf/20150502013

Günther M., Velten K. (2014): Mathematische Modellbildung und Simulation. 978-3-527-41217-4

Günther M., Velten K. (2014): Mathematische Modellbildung und Simulation : Eine Einführung für Wissenschaftler, Ingenieure und Ökonomen. 978-3-527-41217-4

Borzi A., Merger J., Müller J., Rosch A., Schenk C., Schmidt D.M., Schulz V., Velten K., von Wallbrunn C., Zänglein M. (2014): Novel model for wine fermentation including the yeast dying phase. DOI: 10.48550/arXiv.1412.6068

Velten K., Kasnitz M., Braun P. (2014): Wissenschaftliche Systemanalyse und Modellentwicklung im Gartenbau. 978-3-527-41217-4

Steven P., Le Blanc C., Velten K., Lankenau E., Krug M., Oelckers S., Heindl L., Gehlsen U., Huettmann G., Cursiefen C. (2013): Optimizing Descemet's membrane endothelial keratoplasty using intraoperative optical coherence tomography. JAMA Ophthalmology 131 (9) S. 1135 - 1142.

Geiger F., Velten K., Methner F.-J. (2012): 3D CFD simulation of bottle emptying processes. Journal of Food Engineering 109 (3) S. 609 - 618. DOI: 10.1016/j.jfoodeng.2011.10.008

Velten K. (2012): Mathematical Modeling and Simulation = Shu xue jian mo yu fang zhen : Ke xue yu gong cheng dao lun. 9787118078329

Meister C., Velten K., Methner F.-J. (2012): Modelling and simulation of bottle rinsing. International Journal of Food Science and Technology 47 (7) S. 1468 - 1478. DOI: 10.1111/j.1365-2621.2012.02994.x

Geiger F., Meister C., Velten K., Evers H., Methner F. (2011): A CFD perspective of bottle cleaning processes. S. 1 - 8.

Meister C., Geiger F., Velten K., Evers H., Methner F. (2011): Simulation of PET bottle rinsing. S. 1 - 7.

Meister C., Geiger F., Velten K., Evers H., Methner F. (2010): CFD- Simulation of fast bottle cleaning processes.

Velten K. (2009): Mathematical modeling and simulation: introduction for scientists and engineers. 978-3-527-40758-8

Velten K., Günther M., Lorenz B. (2006): Finite-element simulation of corneal applanation. Journal of Cataract and Refractive Surgery 32 (7) S. 1073 - 1074. DOI: 10.1016/j.jcrs.2006.02.052

Velten K., Paschold P.-J., Rieckmann U. (2004): Analysis of the Subsurface growth of white Asparagus. Leuven ISHS Acta Horticulturae 654 S. 97 - 103. DOI: 10.17660/ActaHortic.2004.654.10
90 6605 029 2

Velten K., Günther M., Lindemann B., Loser W. (2004): Optimization of candle filters using three-dimensional flow simulations. Filtration 4 (4) S. 276 - 280.

Neunzert H., Zemitis A., Velten K., Iliev O. (2003): Analysis of Transport Processes for Layered Porous Materials Used in Industrial Applications. 978-3-642-62914-3

Velten K., Lindemann B., Günther M. (2003): Optimization of Candle Filters Using Three-Dimensional Flow Simulations. Filtech Exhibitions Germany

Velten K., Paschold P.-J., Stahel A. (2003): Optimization of cultivation measures affecting soil temperature. S. 163 - 184.

Velten K., Jaki J., Paschold P.-J. (2002): Optimierung temperaturwirksamer Anbau- und Bewirtschaftungsmaßnahmen. Göttingen Gesellschaft für Informatik in der Land- Forst- und Ernährungswirtschaft Berichte der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft 15 S. 209 - 213.
3932987047 ; 978-3932987045

Zhang Z., Friedrich K., Velten K. (2002): Prediction of tribological properties of short fibre composites using artificialneural networks. Wear 252 (7-8) S. 668 - 675. DOI: 10.1016/S0043-1648(02)00023-6

Jaki J., Paschold P.-J., Velten K. (2002): Prognose von Bleichspargelerträgen mit Neuronalen Netzen. Berlin GIL Berichte der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft 15 S. 104 - 107.
3-932987-04-7

Reinicke R., Friedrich K., Velten K. (2001): Neuronale Netze - ein innovatives Verfahren zur Vorhersage von Verschleißvorgängen. Tribologie und Schmierungstechnik 48 (6) S. 5 - 7.

Velten I., Horn F., Korth M., Velten K. (2001): The b-wave of the dark-adapted flash electroretinogram in patients with advanced asymmetrical glaucoma and normal subjects. British Journal of Ophthalmology 85 (4) S. 403 - 409. DOI: 10.1136/bjo.85.4.403

Zhang Z., Reinicke R., Klein P., Friedrich K., Velten K. (2001): Wear predicition of polymeric composites using artificial neural networks. S. 203 - 206.

Velten K., Reinicke R., Friedrich K. (2000): Artificial neural networks to predict the wear behaviour of composite materials. erschienen auf CD-ROM

Velten K., Schattauer D. (2000): Drag measurement and evaluation in impregnation processes. erschienen auf CD-ROM

Reinicke R., Friedrich K., Velten K. (2000): Modelling friction and wear properties with artificial neural networks. S. 408 - 410.

Velten K., Reinicke R., Friedrich K. (2000): Neuronale Netze zur Vorhersage und Analyse des Verschleissverhaltens polymerer Gleitwerkstoffe. Materials Science and Engineering Technology / Materialwissenschaft und Werkstofftechnik 31 (8) S. 712 - 714. DOI: 10.1002/1521-4052(200008)31:8<712::AID-MAWE712>3.0.CO;2-S

Velten K., Best W. (2000): Rolling of unsaturated porous materials - on the evolution of a fully saturated zone. Physical Review E 62 (3) S. 3891 - 3899. DOI: 10.1103/PhysRevE.62.3891

Velten K., Reinicke R., Friedrich K. (2000): Wear volume prediction with artificial neural networks. Tribology International 33 (10) S. 731 - 736. DOI: 10.1016/S0301-679X(00)00115-8

Velten K., Schattauer D., Zemitis A., Pfreundt F.-J., Hennig E. (1999): A method for the analysis and control of mica tape impregnation processes. IEEE Transactions on Dielectrics and Electrical Insulation 6 (3) S. 363 - 369. DOI: 10.1109/94.775624

Pfreundt F.-J., Schattauer D., Velten K., Zemitis A. (1999): Method and device for monitoring the impregnation of a carrier material.

Best W., Velten K. (1999): Pressenfilze für moderne Papiermaschinen - oder das kontinuierliche Bestreben, die Entwässerung der Papierbahn zu optimieren. Das Papier (10A) S. V110 - V117.

Velten K., Lutz A., Friedrich K. (1999): Quantitative characterization of porous materials in polymer processing. Composites Science and Technology 59 (4) S. 495 - 504. DOI: 10.1016/S0266-3538(98)00094-3

Velten K., Schattauer D. (1998): A computer experiment to determine the permeability of mica tape based insulations. IEEE Transactions on Dielectrics and Electrical Insulation 5 (6) S. 886 - 891. DOI: 10.1109/94.740771

Lutz A., Velten K., Evstatiev M. (1998): A new tool for fibre bundle impregnation: experiments and process analysis. K. Velten S. 471 - 477.
1855733773

Velten K. (1998): Inverse problems in resin transfer molding. Journal of Composite Materials 32 (24) S. 2178 - 2202. DOI: 10.1177/002199839803202401

Velten K. (1998): Quantitative analysis of the resin transfer molding process. Journal of Composite Materials 32 (20) S. 1865 - 1892. DOI: 10.1177/002199839803202003

Velten K., Richter O. (1995): Optimal root/shoot-partitioning of carbohydrates in plants. Bulletin of Mathematical Biology 57 (1) S. 99 - 109. DOI: 10.1007/BF02458318

Schröder U., Richter O., Velten K. (1995): Performance of the plant growth models of the special collaborative project 179 with respect to winter wheat. Ecological Modelling 81 S. 243 - 250. DOI: 10.1016/0304-3800(94)00175-H

Velten K. (1994): Optimalität und Pflanzenwachstum.

Velten K., Richter O. (1993): Optimal maintenance investment of plants and its dependence on environmental conditions. Bulletin of Mathematical Biology 55 (5) S. 953 - 971. DOI: 10.1007/BF02460694

WinUM 2.0 – Modelling and Simulation

Project start: 01.06.2021
Project end: 31.05.2024
Sponsor: German Federal Environmental Foundation

The vineyard as an ecosystem and the grapevine (Vitis vinifera) are excellent models for making the consequences of climate change directly visible in various ways, both in biology classes and considering Education for Sustainable Development (ESD). While climate change makes viticulture economically feasible today in regions where it was considered a curiosity decades ago and is thus perceived as a positive driver of this development, the consequences for viticulture in other regions are to be assessed as negative. In addition to higher temperatures, heavy rain or increasing CO2 concentrations, new pests pose a problem that must be countered. Influences of climate change on the level of the ecosystem and on the level of the grapevine as a model plant can be discussed not only in the cultivation regions of the Rhine-Main area, where viticulture is of high relevance to everyday life. References to biological and agricultural topics are diverse and affect not only ecological and biological aspects but also social and economic components. Modeling and computer simulations of possible changes in the vineyard ecosystem as a consequence of climate change can show appropriate solution options and encourage digital learning. Along with real encounters in the vineyard as a site for out-of-school teaching and learning activities, current research results can also be taken into account. In this way, environmental, sociological and environmental educational research is also complied, which has long called for concrete everyday ecological situations to be examined to contribute to the development of sustainability awareness. The aim is to enable learners to deal critically and reflectively with climate change and its diverse consequences, to make appropriate decisions to act in the interests of sustainable development.

Hochschule Geisenheim — © © Liane Flemming (WinUM2.0)

Modelling virtual Riesling canopies for reducing sunburn risks in grapevine (Vitis vinifera L.) berries

Project start: 01.11.2020
Project end: 31.10.2023
Sponsor: German Research Foundation

Bioinformatics/ Applied statistics

Project start: 01.05.2017
Project end: 30.04.2021
Sponsor: Hessen State Ministry of Higher Education, Research and the Arts

Strengthening the research in the HGU's profile topics requires the establishment of Bioinformatics / Applied Statistics (BiaS) at the HGU. The BiaS research area is a cross-sectional science addressing the collection, analysis and storage of data as a key discipline across all subject areas. Its goal is to develop methods and tools to translate vast amounts of data into information and knowledge. It thus contributes significantly to the systems analysis of complex biological, technical, biotechnological and crop cultivation systems and their integration.

Computer simulation of coffee roasting

Project start: 01.07.2016
Project end: 31.12.2020
Sponsor: PROBAT-Werke von Gimborn Maschinenfabrik GmbH

Analysis and optimization of coffee roasting processes based on computer simulations using OpenFOAM and GmLinux.

Prof. Dr. Kai Velten

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