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Optimal Scheduling of Combined Heat and Power Generation Considering Heating Grid Dynamics
As the share of renewable generation increases in electric grids, the traditionally heat driven operation of combined heat and power plants (CHPs) reaches its limits. Thermal storage is required for a flexible operation of CHPs. This work proposes three novel methods to use a heating grid as thermal storage by exploiting its thermal dynamics. These include the first approach proving global optimality, a novel linear formulation of grid dynamics and an easily real world applicable approach.
Operations Research Proceedings 2018
This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2018), which was held at the Free University of Brussels, Belgium on September 12 - 14, 2018, and was jointly organized by the German Operations Research Society (GOR) and the Belgian Operational Research Society (ORBEL). 575 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 400 papers in parallel topic streams, as well as special award sessions. The respective papers discuss classical mathematical optimization, statistics and simulation techniques. These are complemented by computer science methods, and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it includes problems modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.
Advances in Energy Systems Engineering
This book provides a scientific framework for integrated solutions to complex energy problems. It adopts a holistic, systems-based approach to demonstrate the potential of an energy systems engineering approach to systematically quantify different options at various levels of complexity (technology, plant, energy supply chain, mega-system). Utilizing modeling, simulation and optimization-based frameworks, along with a number of real-life applications, it focuses on advanced energy systems including energy supply chains, integrated biorefineries, energy planning and scheduling approaches and urban energy systems. Featuring contributions from leading researchers in the field, this work is useful for academics, researchers, industry practitioners in energy systems engineering, and all those who are involved in model-based energy systems.
Limited Information Shared Control and its Applications to Large Vehicle Manipulators
This work focuses on the Limited Information Shared Control and its controller design using potential games. Through the developed systematic controller design, the experiments demonstrate the effectiveness and superiority of this concept compared to traditional manual and non-cooperative control approaches in the application of large vehicle manipulators.
Human-Machine Cooperative Decision Making
The research reported in this thesis focuses on the decision making aspect of human-machine cooperation and reveals new insights from theoretical modeling to experimental evaluations: Two mathematical behavior models of two emancipated cooperation partners in a cooperative decision making process are introduced. The model-based automation designs are experimentally evaluated and thereby demonstrate their benefits compared to state-of-the-art approaches.
Dynamical Modeling and Control of Multiphase Heat Transport Systems Based on Loop Heat Pipes
Effective heat transport systems in aerospace are based on multiphase loop heat pipes (LHPs). For a precise thermal control of the electronics, electrical heaters are additionally used to control the operating temperature of the LHP. This work focusses on the dynamical modeling and model-based control design for LHP-based heat transport systems. The results of this work can be used for the optimization of current control parameters and the efficient control design for future LHP applications.
Resource Efficiency of Processing Plants
This monograph provides foundations, methods, guidelines and examples for monitoring and improving resource efficiency during the operation of processing plants and for improving their design. The measures taken to improve their energy and resource efficiency are strongly influenced by regulations and standards which are covered in Part I of this book. Without changing the actual processing equipment, the way how the processes are operated can have a strong influence on the resource efficiency of the plants and this potential can be exploited with much smaller investments than needed for the introduction of new process technologies. This aspect is the focus of Part II. In Part III we discuss physical changes of the process technology such as heat integration, synthesis and realization of optimal processes, and industrial symbiosis. The last part deals with the people that are needed to make these changes possible and discusses the path towards a resource efficiency culture. Written with industrial solutions in mind, this text will benefit practitioners as well as the academic community.
Adaptive Dynamic Programming: Solltrajektorienfolgeregelung und Konvergenzbedingungen
In diesem Werk werden erstmals zeitdiskrete und zeitkontinuierliche Methoden präsentiert und analysiert, um flexible Solltrajektoriendarstellungen in Adaptive-Dynamic-Programming-Ansätze zu integrieren. Zudem werden theoretische Bedingungen an den Systemzustand hergeleitet, die eine zentrale Anregungseigenschaft für die Konvergenz der Adaption sicherstellen. Reale Anwendungen der vorgestellten adaptiven optimalen Trajektorienfolgeregelungsmethoden offenbaren das Potenzial dieser Ansätze. - In this work, discrete-time and continuous-time methods that integrate flexible reference trajectory representations into Adaptive Dynamic Programming approaches are presented and analyzed for the first time. Moreover, theoretical conditions on the system state are derived that ensure the persistent excitation property, which is crucial for the convergence of the adaptation. Real-world applications of the presented adaptive optimal trajectory tracking control methods reveal their potential.
Ein Verfahren zur lexikographischen modellprädiktiven Regelung mit der Anwendung auf eine permanenterregte Synchronmaschine
Bei der konventionellen Drehmomentregelung von permanentmagneterregten Synchronmaschinen werden Solldrehmomente unter der Berücksichtigung von Leistungsverlusten durch statische Kennfelder in Sollströme überführt. Dieses Vorgehen ist dynamisch suboptimal, interdependent und stark maschinenabhängig. Diese Arbeit widmet sich der Frage: Wie kann ein Model Predictive Controller entworfen werden, durch welchen die Ziele Drehmomenterreichung und Verlustminimierung simultan optimiert werden? - In classical approaches for the torque control of Permanent Magnet Synchronous Machines the torque references are converted into current references by static lookup tables which consider power losses. This procedure is dynamically suboptimal, interdependent and strongly machine-dependent. This work addresses the question: How can a Model Predictive Controller be designed to simultaneously optimize the objectives torque reference tracking and power loss minimization?
Parameter- und Ordnungsidentifikation von fraktionalen Systemen mit einer Anwendung auf eine Lithium-Ionen-Batteriezelle
Für einen sicheren und effizienten Betrieb von Batteriezellen werden zunehmend modellbasierte Methoden eingesetzt. Zur Modellierung der Batteriezellen haben sich fraktionale Modelle, die durch nicht-ganzzahlige Ableitungsordnungen gekennzeichnet sind, aufgrund der elektrochemischen Interpretierbarkeit etabliert. In der Arbeit werden Verfahren zur Parameter- und Ableitungsordnungsidentifikation fraktionaler Systeme ohne Einschränkung bezüglich der Anregung zu Identifikationsbeginn hergeleitet. - Model-based methods are increasingly being used for a safe and efficient operation of battery cells. For modeling battery cells, fractional models which are characterized by non-integer derivative orders have become established due to their electrochemical interpretability. In this work, methods for parameter and derivative order identification of fractional systems are derived without restriction with respect to the excitation at the begin of identification.
