ECSM European Center for Sustainable Mobility
Refine
Year of publication
Institute
- ECSM European Center for Sustainable Mobility (122)
- Fachbereich Luft- und Raumfahrttechnik (67)
- Fachbereich Elektrotechnik und Informationstechnik (25)
- Fachbereich Energietechnik (16)
- Solar-Institut Jülich (16)
- Kommission für Forschung und Entwicklung (14)
- Fachbereich Maschinenbau und Mechatronik (12)
- Fachbereich Bauingenieurwesen (9)
- Arbeitsstelle fuer Hochschuldidaktik und Studienberatung (2)
- Kommission für Planung und Finanzen (2)
Has Fulltext
- no (122) (remove)
Document Type
- Conference Proceeding (62)
- Article (41)
- Part of a Book (7)
- Patent (3)
- Report (3)
- Conference: Meeting Abstract (2)
- Conference Poster (2)
- Book (1)
- Doctoral Thesis (1)
Keywords
- Energy storage (4)
- Power plants (4)
- Associated liquids (3)
- Concentrated solar power (3)
- Hybrid energy system (3)
- Electricity generation (2)
- Smart Building (2)
- Solar thermal technologies (2)
- UAV (2)
- electro mobility (2)
- 3D object detection (1)
- Active humidity control (1)
- Aircraft design (1)
- Android (1)
- Anomalieerkennung (1)
- BIM (1)
- Brake set-up (1)
- Braking curves (1)
- Building Automation (1)
- Bumblebees (1)
- CCD-Bildwandler (1)
- CO2 (1)
- CO2 emission reduction targets (1)
- Camera system (1)
- Capacity Building Higher Education (1)
- Carbon Dioxide (1)
- Ceramics (1)
- Cloud passages (1)
- Commercial Vehicle (1)
- Common Rail Injection System (1)
- Conpot (1)
- Control optimization (1)
- Correlations (1)
- Cost function (1)
- Cybersecurity (1)
- Cybersicherheit (1)
- DNI forecast (1)
- DNI forecasting (1)
- Decision theory (1)
- Deep learning (1)
- Design rules (1)
- Diesel Engine (1)
- DiggiTwin (1)
- Digital triage (1)
- Digitalisierung (1)
- Direct normal irradiance forecast (1)
- District data model (1)
- District energy planning platform (1)
- Drag (1)
- Dreidimensionale Bildverarbeitung (1)
- Driver assistance system (1)
- Driving cycle recognition (1)
- Dynamic simulation (1)
- ECMS (1)
- Education (1)
- Electrochemical impedance spectroscopy (1)
- Electrochemistry (1)
- Energy Disaggregation (1)
- Energy management strategies (1)
- Energy system planning (1)
- Erasmus+ United (1)
- European Framework and South East Asia (1)
- European Transient Cycle (1)
- Flight control (1)
- Freight rail (1)
- Geometry (1)
- Global change (1)
- Green aircraft (1)
- Guide Tube (1)
- Heliostat Field Calibration (1)
- Heliostats (1)
- Home Assistant (1)
- Home Automation Platform (1)
- Human factors (1)
- Hybrid-electric aircraft (1)
- ICS (1)
- IT-Sicherheit (1)
- Image Database (1)
- Image Forensics (1)
- Impedance analysis (1)
- Informationssicherheit (1)
- Informationssicherheitsmanagement (1)
- IoT (1)
- Kalman filter (1)
- Klassifikator <Informatik> (1)
- LiDAR (1)
- MAV (1)
- Machine Learning (1)
- Malaysian Automotive Industry (1)
- Malaysian automotive industry (1)
- Measuring instruments (1)
- Mobile Phones (1)
- Molten salt receiver (1)
- Molten salt receiver system (1)
- Molten salt receiver system, (1)
- Molten salt solar tower (1)
- Multi-objective optimization (1)
- Nowcasting (1)
- Nozzle (1)
- Objekterkennung (1)
- Obstacle avoidance (1)
- Open Source (1)
- PEM fuel cell (1)
- PEM fuel cells (1)
- PTC (1)
- Parabolic trough collector (1)
- Path planning (1)
- Photovoltaics (1)
- Predictive battery discharge (1)
- Process prediction (1)
- Quadrocopter (1)
- Relative air humidity (1)
- Renewable energy integration (1)
- Selective Catalytic Reduction (1)
- Sharing mobility (1)
- Shunting (1)
- Solar irradiance (1)
- Star design (1)
- Statistics (1)
- Suction (1)
- TICTOP (1)
- Technology Transfer (1)
- Thermal Energy Storage (1)
- Three-dimensional displays (1)
- Transient flux distribution (1)
- Triage-app (1)
- Two-phase modelling (1)
- UTeM Engineering Knowledge Transfer Unit (1)
- Uncertainty analysis (1)
- Unmanned Air Vehicle (1)
- Unmanned aerial vehicle (1)
- Vorverarbeitung (1)
- adaptive systems (1)
- artificial intelligence (1)
- assistance system (1)
- autonomous driving (1)
- aviation application (1)
- business models (1)
- control system (1)
- cybersecurity (1)
- digitalization (1)
- dissemination (1)
- do-it-yourself (1)
- education (1)
- electrically driven compressors (1)
- embedded hardware (1)
- energy transition (1)
- fuel cell (1)
- fuel cell systems (1)
- fuel cell vehicle (1)
- gamification (1)
- health management systems (1)
- honeynet (1)
- honeypot (1)
- information systems (1)
- intelligent control (1)
- intelligent energy management (1)
- internal combustion engine (1)
- machine learning (1)
- manufacturing (1)
- mobility behaviour (1)
- open educational resources (1)
- optimization system (1)
- renewable energies (1)
- sensor networks (1)
- technology transfer (1)
- Überwachung & Optimierung (1)
Auch in der allgemeinen Luftfahrt wäre es wünschenswert, die bereits vorhandenen Verbrennungsmotoren mit weniger CO₂-trächtigen Kraftstoffen als dem heute weit verbreiteten Avgas 100LL betreiben zu können. Es ist anzunehmen, dass im Vergleich die unter Normalbedingungen gasförmigen Kraftstoffe CNG, LPG oder LNG deutlich weniger Emissionen produzieren. Erforderliche Antriebssystemanpassungen wurden im Rahmen eines Forschungsprojekts an der FH Aachen untersucht.
With the many achievements of Machine Learning in the past years, it is likely that the sub-area of Deep Learning will continue to deliver major technological breakthroughs [1]. In order to achieve best results, it is important to know the various different Deep Learning frameworks and their respective properties. This paper provides a comparative overview of some of the most popular frameworks. First, the comparison methods and criteria are introduced and described with a focus on computer vision applications: Features and Uses are examined by evaluating papers and articles, Adoption and Popularity is determined by analyzing a data science study. Then, the frameworks TensorFlow, Keras, PyTorch and Caffe are compared based on the previously described criteria to highlight properties and differences. Advantages and disadvantages are compared, enabling researchers and developers to choose a framework according to their specific needs.
In the past, CSP and PV have been seen as competing technologies. Despite massive reductions in the electricity generation costs of CSP plants, PV power generation is - at least during sunshine hours - significantly cheaper. If electricity is required not only during the daytime, but around the clock, CSP with its inherent thermal energy storage gets an advantage in terms of LEC. There are a few examples of projects in which CSP plants and PV plants have been co-located, meaning that they feed into the same grid connection point and ideally optimize their operation strategy to yield an overall benefit. In the past eight years, TSK Flagsol has developed a plant concept, which merges both solar technologies into one highly Integrated CSP-PV-Hybrid (ICPH) power plant. Here, unlike in simply co-located concepts, as analyzed e.g. in [1] – [4], excess PV power that would have to be dumped is used in electric molten salt heaters to increase the storage temperature, improving storage and conversion efficiency. The authors demonstrate the electricity cost sensitivity to subsystem sizing for various market scenarios, and compare the resulting optimized ICPH plants with co-located hybrid plants. Independent of the three feed-in tariffs that have been assumed, the ICPH plant shows an electricity cost advantage of almost 20% while maintaining a high degree of flexibility in power dispatch as it is characteristic for CSP power plants. As all components of such an innovative concept are well proven, the system is ready for commercial market implementation. A first project is already contracted and in early engineering execution.
Cybersecurity of Industrial Control Systems (ICS) is an important issue, as ICS incidents may have a direct impact on safety of people or the environment. At the same time the awareness and knowledge about cybersecurity, particularly in the context of ICS, is alarmingly low. Industrial honeypots offer a cheap and easy to implement way to raise cybersecurity awareness and to educate ICS staff about typical attack patterns. When integrated in a productive network, industrial honeypots may not only reveal attackers early but may also distract them from the actual important systems of the network. Implementing multiple honeypots as a honeynet, the systems can be used to emulate or simulate a whole Industrial Control System. This paper describes a network of honeypots emulating HTTP, SNMP, S7communication and the Modbus protocol using Conpot, IMUNES and SNAP7. The nodes mimic SIMATIC S7 programmable logic controllers (PLCs) which are widely used across the globe. The deployed honeypots' features will be compared with the features of real SIMATIC S7 PLCs. Furthermore, the honeynet has been made publicly available for ten days and occurring cyberattacks have been analyzed
In this work, the effect of low air relative humidity on the operation of a polymer electrolyte membrane fuel cell is investigated. An innovative method through performing in situ electrochemical impedance spectroscopy is utilised to quantify the effect of inlet air relative humidity at the cathode side on internal ionic resistances and output voltage of the fuel cell. In addition, algorithms are developed to analyse the electrochemical characteristics of the fuel cell. For the specific fuel cell stack used in this study, the membrane resistance drops by over 39 % and the cathode side charge transfer resistance decreases by 23 % after increasing the humidity from 30 % to 85 %, while the results of static operation also show an increase of ∼2.2 % in the voltage output after increasing the relative humidity from 30 % to 85 %. In dynamic operation, visible drying effects occur at < 50 % relative humidity, whereby the increase of the air side stoichiometry increases the drying effects. Furthermore, other parameters, such as hydrogen humidification, internal stack structure, and operating parameters like stoichiometry, pressure, and temperature affect the overall water balance. Therefore, the optimal humidification range must be determined by considering all these parameters to maximise the fuel cell performance and durability. The results of this study are used to develop a health management system to ensure sufficient humidification by continuously monitoring the fuel cell polarisation data and electrochemical impedance spectroscopy indicators.
In modernen Fahrzeugkarosserien der Großserie kommen zunehmend Materialmischbauweisen zur Anwendung. In Zusammenarbeit der Daimler AG, der Tower Automotive Holding GmbH, der Imperia GmbH sowie der Partnerunternehmen KSM Castings GmbH und Schaufler Tooling GmbH & Co. KG wird das Leichtbaupotenzial von Aluminiumverbundguss-Stahlblech-Hybriden am Beispiel des vorderen Dachquerträgers des Mercedes-Benz Viano/Vito ausführlich untersucht.
This paper discusses a new way of inflight power regeneration for electric or hybrid-electric driven general aviation aircraft with one powertrain for both configurations. Three different approaches for the shift from propulsion to regeneration mode are analyzed. Numerical cal-culation and wind tunnel results are compared and show the highest regeneration potential for the "Windmill" approach, where the propeller blades are flipped, and rotation is reversed. A combination of all regeneration approaches for a realistic flight mission is discussed.
In order to realistically predict and optimize the actual performance of a concentrating solar power (CSP) plant sophisticated simulation models and methods are required. This paper presents a detailed dynamic simulation model for a Molten Salt Solar Tower (MST) system, which is capable of simulating transient operation including detailed startup and shutdown procedures including drainage and refill. For appropriate representation of the transient behavior of the receiver as well as replication of local bulk and surface temperatures a discretized receiver model based on a novel homogeneous two-phase (2P) flow modelling approach is implemented in Modelica Dymola®. This allows for reasonable representation of the very different hydraulic and thermal properties of molten salt versus air as well as the transition between both. This dynamic 2P receiver model is embedded in a comprehensive one-dimensional model of a commercial scale MST system and coupled with a transient receiver flux density distribution from raytracing based heliostat field simulation. This enables for detailed process prediction with reasonable computational effort, while providing data such as local salt film and wall temperatures, realistic control behavior as well as net performance of the overall system. Besides a model description, this paper presents some results of a validation as well as the simulation of a complete startup procedure. Finally, a study on numerical simulation performance and grid dependencies is presented and discussed.