ECSM European Center for Sustainable Mobility
Refine
Year of publication
Institute
- ECSM European Center for Sustainable Mobility (113)
- Fachbereich Luft- und Raumfahrttechnik (67)
- Fachbereich Elektrotechnik und Informationstechnik (25)
- Fachbereich Energietechnik (16)
- Solar-Institut Jülich (16)
- Kommission für Forschung und Entwicklung (14)
- Fachbereich Bauingenieurwesen (9)
- Fachbereich Maschinenbau und Mechatronik (4)
- Arbeitsstelle fuer Hochschuldidaktik und Studienberatung (2)
- Kommission für Planung und Finanzen (2)
Has Fulltext
- no (113) (remove)
Document Type
- Conference Proceeding (59)
- Article (35)
- 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)
Rocket engine test facilities and launch pads are typically equipped with a guide tube. Its purpose is to ensure the controlled and safe routing of the hot exhaust gases. In addition, the guide tube induces a suction that effects the nozzle flow, namely the flow separation during transient start-up and shut-down of the engine. A cold flow subscale nozzle in combination with a set of guide tubes was studied experimentally
to determine the main influencing parameters.
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.
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.
The development and operation of hybrid or purely electrically powered aircraft in regional air mobility is a significant challenge for the entire aviation sector. This technology is expected to lead to substantial advances in flight performance, energy efficiency, reliability, safety, noise reduction, and exhaust emissions. Nevertheless, any consumed energy results in heat or carbon dioxide emissions and limited electric energy storage capabilities suppress commercial use. Therefore, the significant challenges to achieving eco-efficient aviation are increased aircraft efficiency, the development of new energy storage technologies, and the optimization of flight operations. Two major approaches for higher eco-efficiency are identified: The first one, is to take horizontal and vertical atmospheric motion phenomena into account. Where, in particular, atmospheric waves hold exciting potential. The second one is the use of the regeneration ability of electric aircraft. The fusion of both strategies is expected to improve efficiency. The objective is to reduce energy consumption during flight while not neglecting commercial usability and convenient flight characteristics. Therefore, an optimized control problem based on a general aviation class aircraft has to be developed and validated by flight experiments. The formulated approach enables a development of detailed knowledge of the potential and limitations of optimizing flight missions, considering the capability of regeneration and atmospheric influences to increase efficiency and range.
This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group. While tracking algorithms for bumblebees exist, they often come with intensive restrictions, such as the need for sufficient lighting, high contrast between the animal and background, absence of occlusion, significant user input, etc. Tracking flight paths of bumblebees in a social group is challenging. They suddenly adjust movements and change their appearance during different wing beat states while exhibiting significant similarities in their individual appearance. The MBT3D tracker, developed in this research, is an adaptation of an existing ant tracking algorithm for bumblebee tracking. It incorporates an offline trained appearance descriptor along with a Kalman Filter for appearance and motion matching. Different detector architectures for upstream detections (You Only Look Once (YOLOv5), Faster Region Proposal Convolutional Neural Network (Faster R-CNN), and RetinaNet) are investigated in a comparative study to optimize performance. The detection models were trained on a dataset containing 11359 labeled bumblebee images. YOLOv5 reaches an Average Precision of AP = 53, 8%, Faster R-CNN achieves AP = 45, 3% and RetinaNet AP = 38, 4% on the bumblebee validation dataset, which consists of 1323 labeled bumblebee images. The tracker’s appearance model is trained on 144 samples. The tracker (with Faster R-CNN detections) reaches a Multiple Object Tracking Accuracy MOTA = 93, 5% and a Multiple Object Tracking Precision MOTP = 75, 6% on a validation dataset containing 2000 images, competing with state-of-the-art computer vision methods. The framework allows reliable tracking of different bumblebees in the same video stream with rarely occurring identity switches (IDS). MBT3D has much lower IDS than other commonly used algorithms, with one of the lowest false positive rates, competing with state-of-the-art animal tracking algorithms. The developed framework reconstructs the 3-dimensional (3D) flight paths of the bumblebees by triangulation. It also handles and compares two alternative stereo camera pairs if desired.
Next-generation aircraft designs often incorporate multiple large propellers attached along the wingspan (distributed electric propulsion), leading to highly flexible dynamic systems that can exhibit aeroelastic instabilities. This paper introduces a validated methodology to investigate the aeroelastic instabilities of wing–propeller systems and to understand the dynamic mechanism leading to wing and whirl flutter and transition from one to the other. Factors such as nacelle positions along the wing span and chord and its propulsion system mounting stiffness are considered. Additionally, preliminary design guidelines are proposed for flutter-free wing–propeller systems applicable to novel aircraft designs. The study demonstrates how the critical speed of the wing–propeller systems is influenced by the mounting stiffness and propeller position. Weak mounting stiffnesses result in whirl flutter, while hard mounting stiffnesses lead to wing flutter. For the latter, the position of the propeller along the wing span may change the wing mode shapes and thus the flutter mechanism. Propeller positions closer to the wing tip enhance stability, but pusher configurations are more critical due to the mass distribution behind the elastic axis.
Development of open educational resources for renewable energy and the energy transition process
(2021)
The dissemination of knowledge about renewable energies is understood as a social task with the highest topicality. The transfer of teaching content on renewable energies into digital open educational resources offers the opportunity to significantly accelerate the implementation of the energy transition. Thus, in the here presented project six German universities create open educational resources for the energy transition. These materials are available to the public on the internet under a free license. So far there has been no publicly accessible, editable media that cover entire learning units about renewable energies extensively and in high technical quality. Thus, in this project, the content that remains up-to-date for a longer period is appropriately prepared in terms of media didactics. The materials enable lecturers to provide students with in-depth training about technologies for the energy transition. In a particular way, the created material is also suitable for making the general public knowledgeable about the energy transition with scientifically based material.