TY - CHAP A1 - Jäger, Lukas A1 - Hart, Scott A1 - Reguera, Remo A1 - Grote-Ramm, Wolfgang A1 - Neef, Matthias T1 - Autonome Nachführungssteuerung eines Parabolrinnen-Teststands mittels Microcontroller T2 - Beitrag zur 7. Regenerativen Energietechnik Konferenz, Nordhausen, 08. - 09. Februar 2024 N2 - Parabolrinnen nutzen parabolisch gekrümmte Spiegel, um die direkte Globalstrahlung auf ein Vakuum-Absorberrohr zu konzentrieren. Eine Effizienzsteigerung dieser Technologie wird durch eine vollständige Automatisierung der Sonnennachführung optimiert. Die an einem Parabolrinnen-Versuchsträger der Hochschule Düsseldorf realisierte Steuerung und Berechnung der Nachführung werden kontinuierlich über einen Microcontroller realisiert. Eine Kalibrierung der Parabolrinne im Labormaßstab zur Erkennung des Winkels erfolgt über Infrarotsensoren. Die Berechnung des Sonnenstandes, durch den Algorithmus, kann unabhängig von einer Stromzufuhr durch eine Real-Time-Clock bestimmt werden. Mittels Schrittmotor und Treiber verfährt die Parabolrinne in die errechnete Position. Die Feinausrichtung der Parabolrinne erfolgt über ein Verschattungsmodul und zwei Photowiderstände. Durch den Einsatz von 3D-gedruckten Bestandteilen sind die genutzten Komponenten kostengünstig und können standortunabhängig reproduziert werden. Durch das Zusammenspiel der Komponenten ist ein autonomer Einsatz möglich. KW - Parabolrinnen KW - Sonnenenergie KW - Microcontroller Y1 - 2024 CY - Nordhausen ER - TY - CHAP A1 - Dörr, Dominik A1 - Münch, Justin A1 - Adam, Mario ED - Wesselak, Viktor T1 - Hochaufgelöste Langzeitprognose des deutschen Strom-Importpotenzials mithilfe von Methoden des Maschinellen Lernens T2 - RET.Con 2024. 7. Regenerative Energietechnik Konferenz in Nordhausen, 08.-09. Februar 2024. Tagungsband KW - KIVi Y1 - 2024 SN - 978-3-940820-23-5 SP - 71 EP - 78 CY - Nordhausen ER - TY - CHAP A1 - Grote-Ramm, Wolfgang A1 - Schönig, Felix A1 - Schwarzbözl, Peter A1 - Drexelius, Maximilian A1 - Maldonado Quinto, Daniel A1 - Binder, Matthias T1 - Model Predictive Control and Service Life Monitoring for Molten Salt Solar Power Towers T2 - 29th SolarPACES Conference, Sydney N2 - A two-component system for control and monitoring of solar power towers with molten salt receivers is proposed. The control component consists of a model predictive control applica-tion (MPC) with a flexible objective function and on-line tunable weights, which runs on a In-dustrial PC and uses a reduced order dynamic model of the receiver’s thermal and flow dy-namics. The second component consists of a service-life monitoring unit, which estimates the service-life consumption of the absorber tubes depending on the current mode of operation based on thermal stresses and creep fatigue in the high temperature regime. The calculation of stresses is done based on a detailed finite element study, in which a digital twin of the re-ceiver was developed. By parallelising the model solver, the estimation of service-life con-sumption became capable of real-time operation. The system has been implemented at a test facility in Jülich, Germany, and awaits field experiments. In this paper, the modeling and archi-tecture are presented along simulation results, which were validated on a hardware-in-the-loop test bench. The MPC showed good disturbance rejection while respecting process variable constraints during the simulation studies. KW - Solar Power Tower KW - Molten Salt KW - Model Predictive Control KW - Dynamic Modelling KW - Service-life Monitoring Y1 - 2023 N1 - Eingereichter Beitrag ER - TY - CHAP A1 - Grote, Wolfgang A1 - Schulze Darup, M. A1 - Reinig, G. T1 - Modellprädiktive Regelung von Entnahmeturbinen und Dampfnetzen (Poster) T2 - Chemie Ingenieur Technik Y1 - 2009 U6 - https://doi.org/10.1002/cite.200950184 VL - 2009 IS - 8 SP - 1113 EP - 1114 PB - Wiley CY - Weinheim ER - TY - CHAP A1 - Grote, Wolfgang A1 - Reinig, Gunter T1 - Modellbasierte Regelung von Entnahmedampfturbinen (eingeladener Vortrag) T2 - 43. Regelungstechnisches Kolloquium in Boppard vom 25.-27. Februar 2009 KW - Modellierung von Dampfturbinen KW - Modellprädiktive Regelung KW - Generische Modelle KW - MIMO Regelung KW - Betriebsartenspezifische Regelung Y1 - 2009 UR - https://www.iosb.fraunhofer.de/content/dam/iosb/iosbtest/documents/veranstaltungen/boppard-regelungstechnisches-kolloquium/Programm_2009.pdf ER - TY - CHAP A1 - Grote, Wolfgang A1 - Kastsian, Darya A1 - Mönnigmann, Martin T1 - Optimal power system unit commitment with guaranteed local stability T2 - Proceedings of the 2011 American Control Conference N2 - This article deals with the cost optimal commitment of power systems. System stability is often only considered after solving the commitment problem. We show by example that a cost optimization may result in a mode of operation that, while economically optimal, is unstable or has otherwise unacceptable dynamics. As a remedy, we propose to use the so-called normal vector method, which has been developed for the optimization of nonlinear dynamical systems with stability boundaries and uncertain parameters. We apply the method to a small sample power grid, where the optimization goal is to minimize the energy production costs for a given power consumption. KW - Optimization KW - Power system stability KW - Robustness Y1 - 2011 U6 - https://doi.org/10.1109/ACC.2011.5991058 SN - 2378-5861 SP - 4526 EP - 4531 PB - IEEE ER - TY - CHAP A1 - Nielsen, L. A1 - Leithner, R. A1 - Qi, D. A1 - Grote, Wolfgang A1 - Kastsian, Darya A1 - Mönnigmann, Martin T1 - Isobares GuD - Druckluftspeicherkraftwerk mit Wärmespeicher T2 - Energy Storage Conference and Exhibition (IRES 2011), Berlin. 2011 Y1 - 2011 N1 - Veröffentlichung als Poster CY - Berlin ER - TY - CHAP A1 - Schramm, Alexander A1 - Kruger, Karl A1 - Niemann, Jörg A1 - Grote, Wolfgang ED - Dimitrov, Dimiter ED - Hagedorn-Hansen, Devon ED - Leipzig, Karl von T1 - Possibilities, Limitations and Considerations for Eye Tracking in Industrial Environments: Experience from a Case Study T2 - International Conference on Competitive Manufacturing (COMA 19) proceedings : 30 January 2019-1 February 2019, Stellenbosch, South Africa N2 - Eye tracking is a measurement technique for determining the orientation and viewing direction of an individual’s eyes. It allows for an evaluation of the individual’s gaze and other related information.There is a wide variety of application areas for eye tracking, however the usage in engineeringindustry is still limited. This paper presents a case study for the use of eye tracking in a testingstation for electrical circuit breakers. The case study aims to evaluate the measurement and analysispossible with the Tobii wearable eye tracking system. From the case study, possibilities, limitationsand considerations for eye tracking in industrial settings are identified and discussed. The paperconcludes that while eye tracking can be used to effectively capture and visualize insightfulinformation, it faces major challenges related to subjectivity in analysis and labour intensiveness. KW - Eye Tracking Y1 - 2019 SN - 978-0-7972-1779-9 SP - 390 EP - 396 PB - Department of Industrial Engineering, Stellenbosch University CY - Stellenbosch ER - TY - CHAP A1 - Beckers, Sebastian A1 - Pawlik, Julian A1 - Kiel, Jürgen A1 - Grote, Wolfgang T1 - Simulation von Partikelflugbahnen zur Auslegungshilfe von elektrostatischen Luftfiltern T2 - Tagungsband: ASIM Workshop 2019 - Simulation Technischer Systeme Grundlagen und Methoden in Modellbildung und Simulation, 21.-22. Februar 2019, Braunschweig Y1 - 2019 SN - 978-3-901608-06-3 U6 - https://doi.org/10.11128/arep.57 SP - 147 EP - 152 PB - ARGESIM, ASIM CY - Wien ER - TY - CHAP A1 - Grote-Ramm, Wolfgang A1 - Schönig, Felix T1 - Model Predictive Control of Solar Receivers T2 - 25th Cologne Solar Colloquium (DLR) Y1 - 2022 UR - https://www.dlr.de/sf/PortalData/73/Resources/dokumente/soko/soko2022/DLR_Solar_Colloquium_2022_Model_Predictive_Control_GROTE-RAMM.pdf ER - TY - CHAP A1 - Lorenzen, Finn A1 - Schönig, Felix A1 - Grote-Ramm, Wolfgang A1 - Oliveira Brito, Marcel A1 - Neuberger, Heiko A1 - Sobolyev, Alexander T1 - Continual Adaptation of Compressor Maps During Operation on Measurement Data For Increased Performance of Model-Based Applications in Turbomachinery T2 - ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, June 26–30, 2023 Boston, Massachusetts, USA N2 - Higher control engineering concepts, including artificial intelligence and model-based control, are recently becoming more popular in complex industrial applications because they enable a significant increase in efficiency. E.g., a model-based approach can be used to enhance the control and monitoring of several coupled components of a larger turbomachinery train. This requires dynamic models of the components, including all machine characteristics, which may experience a shift in their behavior over the course of their lifetime. Such changes occur due to natural fouling, wear of sub-components or external effects induced by maintenance measures. To overcome this problem, we model machine-characteristic maps with artificial neural networks, which may be used as part of prediction models in a model predictive control unit. If an appropriate data set is available, this allows us to adapt the model to the current behavior of the machine without requiring in-depth knowledge about the underlying physics of this “concept drift”, as it is known in literature. However, the training of neural networks is usually connected with high computational effort while the task needs to be executed in real-time during operation. Furthermore, in real operating conditions, machine sensors can only provide labeled data from the current operating point of the machine, which can be stationary for long operation periods of up to several months. In general, this yields only an unrepresentative data subset of the machine-characteristics, which is not sufficient to retrain the whole model to a new state. To solve these problems, we firstly reduce the model adaptation to a convex optimization problem, which can be efficiently solved in real-time conditions. Secondly, we use a specialized data management system with which we can integrate historical data to supplement the unrepresentative data subset. In this paper we show the application of the outlined method on a compressor map and discuss the advantages and requirements of the method in the context of modeling applications for industrial turbomachinery. KW - compressors KW - Intelligent control KW - Neural networks KW - Modeling Y1 - 2023 SN - 978-0-7918-8697-7 U6 - https://doi.org/10.1115/GT2023-103458 VL - Volume 4 SP - 1 EP - 7 PB - ASME CY - Boston ER - TY - CHAP A1 - Strygulec, Sarah A1 - Müller, Dennis A1 - Meuter, Mirko A1 - Nunn, Christian A1 - Ghosh, Shamila A1 - Wöhler, Christian T1 - Road boundary detection and tracking using monochrome camera images T2 - 2013 16th International Conference on Information Fusion (FUSION) Y1 - 2013 SN - 978-605-86311-1-3 SP - 864 EP - 870 PB - IEEE ER - TY - CHAP A1 - Müller, Dennis A1 - Pauli, Josef A1 - Nunn, Christian A1 - Gormer, Steffen A1 - Müller-Schneiders, Stefan T1 - Time to contact estimation using interest points T2 - Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, MO, USA, October 3-7, 2009 Y1 - 2009 SN - 978-1-4244-5521-8 U6 - https://doi.org/10.1109/ITSC.2009.5309851 SP - 1 EP - 6 PB - IEEE CY - Piscataway, N.J. ER - TY - CHAP A1 - Müller, Dennis A1 - Pauli, Josef A1 - Meuter, Mirko A1 - Ghosh, Lali A1 - Müller-Schneiders, Stefan T1 - A generic video and radar data fusion system for improved target selection T2 - 2011 IEEE Intelligent Vehicles Symposium (IV) Y1 - 2011 SN - 978-1-4577-0891-6 U6 - https://doi.org/10.1109/IVS.2011.5940469 SP - 679 EP - 684 PB - IEEE ER - TY - CHAP A1 - Müller, Dennis A1 - Meuter, Mirko A1 - Park, Su-Birm T1 - Motion segmentation using interest points T2 - 2008 IEEE Intelligent Vehicles Symposium Y1 - 2008 SN - 978-1-4244-2568-6 U6 - https://doi.org/10.1109/IVS.2008.4621239 SP - 19 EP - 24 PB - IEEE ER - TY - CHAP A1 - Gavriilidis, Alexandros A1 - Müller, Dennis A1 - Müller-Schneiders, Stefan A1 - Velten, Jörg A1 - Kummert, Anton T1 - Sensor system blockage detection for night time headlight control based on camera and radar sensor information T2 - 15th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2012, 16-19 Sept. 2012, Anchorage, Alaska, USA Y1 - 2012 SN - 978-1-4673-3063-3 U6 - https://doi.org/10.1109/ITSC.2012.6338854 SP - 78 EP - 83 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Nunn, Christian A1 - Kummert, Anton A1 - Müller, Dennis A1 - Meuter, Mirko A1 - Müller-Schneiders, Stefan T1 - An improved adaboost learning scheme using LDA features for object recognition T2 - Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, MO, USA, October 3-7, 2009 Y1 - 2009 SN - 978-1-4244-5521-8 U6 - https://doi.org/10.1109/ITSC.2009.5309856 SP - 1 EP - 6 PB - IEEE CY - Piscataway, N.J. ER - TY - CHAP A1 - Zhao, Kun A1 - Meuter, Mirko A1 - Nunn, Christian A1 - Muller, Dennis A1 - Muller-Schneiders, Stefan A1 - Pauli, Josef T1 - A novel multi-lane detection and tracking system T2 - 2012 IEEE Intelligent Vehicles Symposium (IV) Y1 - 2012 SN - 978-1-4673-2119-8 U6 - https://doi.org/10.1109/IVS.2012.6232168 SP - 1084 EP - 1089 PB - IEEE ER - TY - CHAP A1 - Gonner, Steffen A1 - Müller, Dennis A1 - Hold, Stephanie A1 - Meuter, Mirko A1 - Kummert, Anton T1 - Vehicle recognition and TTC estimation at night based on spotlight pairing T2 - Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, MO, USA, October 3-7, 2009 Y1 - 2009 SN - 978-1-4244-5521-8 U6 - https://doi.org/10.1109/ITSC.2009.5309848 SP - 1 EP - 6 PB - IEEE CY - Piscataway, N.J. ER - TY - CHAP A1 - von Berg, Markus A1 - Schwörer, Paul A1 - Prinz, Lukas A1 - Steffens, Jochen T1 - Analysis of physical and perceptual properties of room impulse responses: development of an online tool T2 - Forum Acusticuum 2023: 10th Convention of European Acoustics Association, Turin, Italy, 11th-15th September 2023 N2 - Over the past decades, research in room acoustics has established several derivative measures of an impulse response, some of which are incorporated in the ISO 3382 standards. These parameters intend to represent perceptual qualities, but were developed without a consistent modeling of room acoustical perception. More recent research proposed comprehensive inventories of room acoustic perception that are purely based on evaluations by human subjects, such as the Room Acoustical Quality Index (RAQI). In this work RA-QI scores acquired for 70 room impulse responses were predicted from room acoustical parameters. Except for Reverberance, the prediction of RAQI factors performed rather poor. In most cases, the sound source had a greater impact on RAQI scores. All analyses are published in an online tool, where users can upload omnidirectional and binaural impulse responses, and instantly obtain and visualize several physical descriptors, as well as predicted RAQI scores for three different sound sources. So far, acceptable prediction accuracy is achieved for Reverberance, Strength, Irregular Decay, Clarity and Intimacy. Larger data sets of evaluated impulse responses are required to improve the model performance and enable reliable predictions of room acoustical quality. Therefore, the administration of RAQI evaluations within the website is currently being developed. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-41955 PB - EAA ER -