Conference Proceeding
Refine
Year of publication
Institute
- Fachbereich Elektrotechnik und Informationstechnik (302) (remove)
Language
- English (234)
- German (67)
- Multiple languages (1)
Document Type
- Conference Proceeding (302) (remove)
Keywords
- Enterprise Architecture (5)
- Serious Game (3)
- Education (2)
- Engineering education (2)
- Engineering optimization (2)
- Gamification (2)
- MINLP (2)
- Machine Learning (2)
- Robotic Process Automation (2)
- Smart Building (2)
- Ventilation System (2)
- Water distribution system (2)
- autonomous driving (2)
- enhanced Telecom Operations Map (eTOM) (2)
- 3D object detection (1)
- Accuracy (1)
- Agile development (1)
- Agility (1)
- Android (1)
- Angle Sensor (1)
- Anomalieerkennung (1)
- Anomaly detection (1)
- Artificial Intelligence (1)
- Automation (1)
- Awareness (1)
- BIM (1)
- Bewertungsframework (1)
- Building Automation (1)
- Business Engineering (1)
- Business Process (1)
- CDG (1)
- CO2 (1)
- Carbon Dioxide (1)
- Case Study (1)
- Case study (1)
- Competence Developing Gam (1)
- Competence Developing Game (1)
- Competence Developing Games (1)
- Computational modeling (1)
- Connected Automated Vehicle (1)
- Conpot (1)
- Control (1)
- Control engineering (1)
- Cooling system (1)
- Cryptographic protocols (1)
- Customer Orientation (1)
- DC machines (1)
- Data analysis (1)
- Data visualization (1)
- Datasets (1)
- Deep learning (1)
- DiggiTwin (1)
- Digital Age (1)
- Digital Twin Evolution (1)
- Digital transformation (1)
- Digital triage (1)
- Digital twin (1)
- Digitale Transformation (1)
- Digitalisierung (1)
- Discrete Optimisation (1)
- Drinking Water Supply (1)
- Efficiency (1)
- Efficiency optimization (1)
- Electrocardiography (1)
- Electronic learning (1)
- Elicit (1)
- Energy (1)
- Energy Disaggregation (1)
- Energy efficiency (1)
- Engineering optimisation (1)
- Experimental validation (1)
- FPGA (1)
- Frequency Doubler (1)
- Future Skills (1)
- GPU (1)
- Geschäftsmodelle (1)
- Gleichspannungswandler (1)
- Graduiertentagung (1)
- Graph Theory (1)
- HDTV (1)
- Harmonic Radar (1)
- Heuristic algorithms (1)
- High Definition Media Services (1)
- High Quality Streaming (1)
- Home Assistant (1)
- Home Automation Platform (1)
- ICS (1)
- Image Database (1)
- Image Forensics (1)
- Implementation Case (1)
- Incremental Encoder (1)
- IndraMotion (1)
- Industrial optimisation (1)
- Interdisciplinarity (1)
- IoT (1)
- LQR (1)
- Latin Hypercube Sampling (1)
- LiDAR (1)
- Literatur-analyse-prozess (1)
- Literaturanalyse (1)
- Literaturdaten (1)
- Literature review (1)
- Low voltage (1)
- MATLAB , MLPI , Motion control , Open Core , industrial drives , rapid control prototypin , sercos automation bus (1)
- MPC (1)
- Malicious model (1)
- Manifolds (1)
- Map (eTOM) Process reference model Process design Telecommunications industry (1)
- Matlab (1)
- Minimum Risk Manoeuvre (1)
- Mixed-Integer Nonlinear Optimisation (1)
- Mixed-integer nonlinear programming (1)
- Mixed-integer programming (1)
- Mobile Phones (1)
- Monitoring (1)
- Motion-Logic System (1)
- Mpc (1)
- Navigation (1)
- Network design (1)
- Neural networks (1)
- Next Generation Network (1)
- OR 2019 (1)
- Online services (1)
- Open Educational Resources (OER) (1)
- Open Source (1)
- Operational Design Domain (1)
- Optimal Topology (1)
- Optimization (1)
- PPO (1)
- Path-following (1)
- Performance (1)
- Personality (1)
- Piecewise Linearization (1)
- Piecewise linearization (1)
- Player Types (1)
- Position Encoder (1)
- Power dissipation (1)
- Powertrain (1)
- Preface (1)
- Privacy-enhancing technologies (1)
- Process design (1)
- Process engineering (1)
- Process optimization (1)
- Process reference model (1)
- Prototype (1)
- Pump System (1)
- Quality control (1)
- Quantum Computing (1)
- Quantum Machine Learning (1)
- Reference Process Model (1)
- Referenzmodellierung (1)
- Reinforcement Learning (1)
- Rescue System (1)
- Research process (1)
- Resilience (1)
- Resilience Assessment (1)
- Resilience assessment (1)
- Resilience metric graph theory (1)
- Resilient infrastructure (1)
- Rotational Encoder (1)
- Rotatory Inverted Pendulum (1)
- SPS (1)
- Secure multi-party computation (1)
- Sensors comparison (1)
- Serious Games (1)
- Similarity Theory (1)
- Society (1)
- Software (1)
- Software Robots (1)
- Software packages (1)
- Solver Per- formance (1)
- Speicherprogrammierte Steuerung (1)
- Story (1)
- Stress testing (1)
- Subject-oriented Business Process Management (1)
- Sustainability (1)
- Synchronous machines (1)
- System Design Problem (1)
- TGA (1)
- TM Forum (1)
- Tag (1)
- Teamwork (1)
- Technical Operations Research (1)
- Telecommunication (1)
- Telecommunication Industry (1)
- Telecommunications Industry. (1)
- Text Analytics (1)
- Text analytics (1)
- Text mining (1)
- Three-dimensional displays (1)
- Throughput (1)
- Time-series synchronization (1)
- Training (1)
- Transdisciplinarity (1)
- Transformation Project (1)
- Transformative Competencies (1)
- Transiton of Control (1)
- Transponder (1)
- Triage-app (1)
- Unternehmensarchitektur (1)
- Unternehmensarchitekturen (1)
- Unternehmensarchitekturen Internet der Dinge (1)
- Unternehmenstransformation (1)
- V2X (1)
- Validation (1)
- Video Game (1)
- Water (1)
- Water Supply System (1)
- Water supply system (1)
- Wearable electronic device (1)
- Wertschöpfungskettenanalyse (1)
- WiLMo (1)
- Wiegand Effect (1)
- Wirtschaftsinformatik (1)
- Wissenstransfer (1)
- Wärmeübertragung (1)
- Zero-knowledge proofs (1)
- active learning (1)
- agile (1)
- anticipation strategy (1)
- business analytics (1)
- business simulation (1)
- competence developing games (1)
- cybersecurity (1)
- decision analytics (1)
- digital economy (1)
- do-it-yourself (1)
- eTOM (1)
- education (1)
- embedded hardware (1)
- fault detection (1)
- honeynet (1)
- honeypot (1)
- information systems (1)
- lab work (1)
- learning theories (1)
- mathematical optimization (1)
- metrological characterization (1)
- model-predictive control (1)
- motivation theories (1)
- passive inter-modulation (1)
- power integrity (1)
- professional skills (1)
- requirements (1)
- sensor networks (1)
- signal integrity (1)
- software engineering (1)
- systematic literature review (1)
- tablet game (1)
- water supply system (1)
- Überwachung & Optimierung (1)
Energy-efficient components do not automatically lead to energy-efficient systems. Technical Operations Research (TOR) shifts the focus from the single component to the system as a whole and finds its optimal topology and operating strategy simultaneously. In previous works, we provided a preselected construction kit of suitable components for the algorithm. This approach may give rise to a combinatorial explosion if the preselection cannot be cut down to a reasonable number by human intuition. To reduce the number of discrete decisions, we integrate laws derived from similarity theory into the optimization model. Since the physical characteristics of a production series are similar, it can be described by affinity and scaling laws. Making use of these laws, our construction kit can be modeled more efficiently: Instead of a preselection of components, it now encompasses whole model ranges. This allows us to significantly increase the number of possible set-ups in our model. In this paper, we present how to embed this new formulation into a mixed-integer program and assess the run time via benchmarks. We present our approach on the example of a ventilation system design problem.
Finding a good system topology with more than a handful of components is a
highly non-trivial task. The system needs to be able to fulfil all expected load cases, but at the
same time the components should interact in an energy-efficient way. An example for a system
design problem is the layout of the drinking water supply of a residential building. It may be
reasonable to choose a design of spatially distributed pumps which are connected by pipes in at
least two dimensions. This leads to a large variety of possible system topologies. To solve such
problems in a reasonable time frame, the nonlinear technical characteristics must be modelled
as simple as possible, while still achieving a sufficiently good representation of reality. The
aim of this paper is to compare the speed and reliability of a selection of leading mathematical
programming solvers on a set of varying model formulations. This gives us empirical evidence
on what combinations of model formulations and solver packages are the means of choice with the current state of the art.
The UN sets the goal to ensure access to water and sanitation for all people by 2030. To address this goal, we present a multidisciplinary approach for designing water supply networks for slums in large cities by applying mathematical optimization. The problem is modeled as a mixed-integer linear problem (MILP) aiming to find a network describing the optimal supply infrastructure. To illustrate the approach, we apply it on a small slum cluster in Dhaka, Bangladesh.
The overall energy efficiency of ventilation systems can be improved by considering not only single components, but by considering as well the interplay between every part of the system. With the help of the method "TOR" ("Technical Operations Research"), which was developed at the Chair of Fluid Systems at TU Darmstadt, it is possible to improve the energy efficiency of the whole system by considering all possible design choices programmatically. We show the ability of this systematic design approach with a ventilation system for buildings as a use case example.
Based on a Mixed-Integer Nonlinear Program (MINLP) we model the ventilation system. We use binary variables to model the selection of different pipe diameters. Multiple fans are model with the help of scaling laws. The whole system is represented by a graph, where the edges represent the pipes and fans and the nodes represents the source of air for cooling and the sinks, that have to be cooled. At the beginning, the human designer chooses a construction kit of different suitable fans and pipes of different diameters and different load cases. These boundary conditions define a variety of different possible system topologies. It is not possible to consider all topologies by hand. With the help of state of the art solvers, on the other side, it is possible to solve this MINLP.
Next to this, we also consider the effects of malfunctions in different components. Therefore, we show a first approach to measure the resilience of the shown example use case. Further, we compare the conventional approach with designs that are more resilient. These more resilient designs are derived by extending the before mentioned model with further constraints, that consider explicitly the resilience of the overall system. We show that it is possible to design resilient systems with this method already in the early design stage and compare the energy efficiency and resilience of these different system designs.
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.
The paper industry is the industry with the third highest energy consumption in the European Union. Using recycled paper instead of fresh fibers for papermaking is less energy consuming and saves resources. However, adhesive contaminants in recycled paper are particularly problematic since they reduce the quality of the resulting paper-product. To remove as many contaminants and at the same time obtain as many valuable fibres as possible, fine screening systems, consisting of multiple interconnected pressure screens, are used. Choosing the best configuration is a non-trivial task: The screens can be interconnected in several ways, and suitable screen designs as well as operational parameters have to be selected. Additionally, one has to face conflicting objectives. In this paper, we present an approach for the multi-criteria optimization of pressure screen systems based on Mixed-Integer Nonlinear Programming. We specifically focus on a clear representation of the trade-off between different objectives.
Water suppliers are faced with the great challenge of achieving high-quality and, at the same time, low-cost water supply. In practice, the focus is set on the most beneficial maintenance measures and/or capacity adaptations of existing water distribution systems (WDS). Since climatic and demographic influences will pose further challenges in the future, the resilience enhancement of WDS, i.e. the enhancement of their capability to withstand and recover from disturbances, has been in particular focus recently. To assess the resilience of WDS, metrics based on graph theory have been proposed. In this study, a promising approach is applied to assess the resilience of the WDS for a district in a major German City. The conducted analysis provides insight into the process of actively influencing the
resilience of WDS
The development of resilient technical systems is a challenging task, as the system should adapt automatically to unknown disturbances and component failures. To evaluate different approaches for deriving resilient technical system designs, we developed a modular test rig that is based on a pumping system. On the basis of this example
system, we present metrics to quantify resilience and an algorithmic approach to improve resilience. This approach enables the pumping system to automatically react on unknown disturbances and to reduce the impact of component failures. In this case, the system is able to automatically adapt its topology by activating additional valves. This enables the system to still reach a minimum performance, even in case of failures. Furthermore, timedependent disturbances are evaluated continuously, deviations from the original state are automatically detected and anticipated in the future. This allows to reduce the impact of future disturbances and leads to a more resilient
system behaviour.