@inproceedings{GroteRammSchoenigSchwarzboezletal.2023, author = {Grote-Ramm, Wolfgang and Sch{\"o}nig, Felix and Schwarzb{\"o}zl, Peter and Drexelius, Maximilian and Maldonado Quinto, Daniel and Binder, Matthias}, title = {Model Predictive Control and Service Life Monitoring for Molten Salt Solar Power Towers}, series = {29th SolarPACES Conference, Sydney}, booktitle = {29th SolarPACES Conference, Sydney}, year = {2023}, abstract = {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 J{\"u}lich, 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.}, language = {en} } @inproceedings{GroteSchulzeDarupReinig2009, author = {Grote, Wolfgang and Schulze Darup, M. and Reinig, G.}, title = {Modellpr{\"a}diktive Regelung von Entnahmeturbinen und Dampfnetzen (Poster)}, series = {Chemie Ingenieur Technik}, volume = {2009}, booktitle = {Chemie Ingenieur Technik}, number = {8}, publisher = {Wiley}, address = {Weinheim}, doi = {10.1002/cite.200950184}, pages = {1113 -- 1114}, year = {2009}, language = {de} } @inproceedings{GroteReinig2009, author = {Grote, Wolfgang and Reinig, Gunter}, title = {Modellbasierte Regelung von Entnahmedampfturbinen (eingeladener Vortrag)}, series = {43. Regelungstechnisches Kolloquium in Boppard vom 25.-27. Februar 2009}, booktitle = {43. Regelungstechnisches Kolloquium in Boppard vom 25.-27. Februar 2009}, year = {2009}, language = {de} } @inproceedings{GroteKastsianMoennigmann2011, author = {Grote, Wolfgang and Kastsian, Darya and M{\"o}nnigmann, Martin}, title = {Optimal power system unit commitment with guaranteed local stability}, series = {Proceedings of the 2011 American Control Conference}, booktitle = {Proceedings of the 2011 American Control Conference}, publisher = {IEEE}, issn = {2378-5861}, doi = {10.1109/ACC.2011.5991058}, pages = {4526 -- 4531}, year = {2011}, abstract = {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.}, language = {en} } @inproceedings{NielsenLeithnerQietal.2011, author = {Nielsen, L. and Leithner, R. and Qi, D. and Grote, Wolfgang and Kastsian, Darya and M{\"o}nnigmann, Martin}, title = {Isobares GuD - Druckluftspeicherkraftwerk mit W{\"a}rmespeicher}, series = {Energy Storage Conference and Exhibition (IRES 2011), Berlin. 2011}, booktitle = {Energy Storage Conference and Exhibition (IRES 2011), Berlin. 2011}, address = {Berlin}, year = {2011}, language = {de} } @inproceedings{SchrammKrugerNiemannetal.2019, author = {Schramm, Alexander and Kruger, Karl and Niemann, J{\"o}rg and Grote, Wolfgang}, title = {Possibilities, Limitations and Considerations for Eye Tracking in Industrial Environments: Experience from a Case Study}, series = {International Conference on Competitive Manufacturing (COMA 19) proceedings : 30 January 2019-1 February 2019, Stellenbosch, South Africa}, booktitle = {International Conference on Competitive Manufacturing (COMA 19) proceedings : 30 January 2019-1 February 2019, Stellenbosch, South Africa}, editor = {Dimitrov, Dimiter and Hagedorn-Hansen, Devon and Leipzig, Karl von}, publisher = {Department of Industrial Engineering, Stellenbosch University}, address = {Stellenbosch}, isbn = {978-0-7972-1779-9}, pages = {390 -- 396}, year = {2019}, abstract = {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.}, language = {en} } @inproceedings{BeckersPawlikKieletal.2019, author = {Beckers, Sebastian and Pawlik, Julian and Kiel, J{\"u}rgen and Grote, Wolfgang}, title = {Simulation von Partikelflugbahnen zur Auslegungshilfe von elektrostatischen Luftfiltern}, publisher = {ARGESIM, ASIM}, address = {Wien}, isbn = {978-3-901608-06-3}, doi = {10.11128/arep.57}, pages = {147 -- 152}, year = {2019}, language = {de} } @inproceedings{GroteRammSchoenig2022, author = {Grote-Ramm, Wolfgang and Sch{\"o}nig, Felix}, title = {Model Predictive Control of Solar Receivers}, series = {25th Cologne Solar Colloquium (DLR)}, booktitle = {25th Cologne Solar Colloquium (DLR)}, pages = {17}, year = {2022}, language = {en} } @inproceedings{LorenzenSchoenigGroteRammetal.2023, author = {Lorenzen, Finn and Sch{\"o}nig, Felix and Grote-Ramm, Wolfgang and Oliveira Brito, Marcel and Neuberger, Heiko and Sobolyev, Alexander}, title = {Continual Adaptation of Compressor Maps During Operation on Measurement Data For Increased Performance of Model-Based Applications in Turbomachinery}, series = {ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, June 26-30, 2023 Boston, Massachusetts, USA}, volume = {Volume 4}, booktitle = {ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, June 26-30, 2023 Boston, Massachusetts, USA}, publisher = {ASME}, address = {Boston}, isbn = {978-0-7918-8697-7}, doi = {10.1115/GT2023-103458}, pages = {1 -- 7}, year = {2023}, abstract = {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.}, language = {en} } @inproceedings{StrygulecMuellerMeuteretal.2013, author = {Strygulec, Sarah and M{\"u}ller, Dennis and Meuter, Mirko and Nunn, Christian and Ghosh, Shamila and W{\"o}hler, Christian}, title = {Road boundary detection and tracking using monochrome camera images}, series = {2013 16th International Conference on Information Fusion (FUSION)}, booktitle = {2013 16th International Conference on Information Fusion (FUSION)}, publisher = {IEEE}, isbn = {978-605-86311-1-3}, pages = {864 -- 870}, year = {2013}, language = {en} }