Conference Proceeding
Refine
Year of publication
- 2022 (48) (remove)
Institute
- Fachbereich Energietechnik (16)
- ECSM European Center for Sustainable Mobility (13)
- Solar-Institut Jülich (10)
- Kommission für Forschung und Entwicklung (9)
- Fachbereich Medizintechnik und Technomathematik (8)
- Fachbereich Elektrotechnik und Informationstechnik (7)
- Fachbereich Maschinenbau und Mechatronik (7)
- Fachbereich Luft- und Raumfahrttechnik (5)
- Fachbereich Wirtschaftswissenschaften (4)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (4)
Has Fulltext
- no (48) (remove)
Document Type
- Conference Proceeding (48) (remove)
Keywords
- Concentrated solar power (3)
- Energy storage (3)
- Hybrid energy system (3)
- Digital Twin (2)
- Electricity generation (2)
- IO-Link (2)
- Power plants (2)
- Solar thermal technologies (2)
- seismic design (2)
- 10BASE-T1L (1)
- Additive Manufacturing (1)
- Additive manufacturing (1)
- Angle Sensor (1)
- Arduino (1)
- Artificial Intelligence (1)
- Asset Administration Shell (1)
- Associated liquids (1)
- Binder Jetting (1)
- Camera system (1)
- Case Study (1)
- Ceramics (1)
- Challenges (1)
- Chance constrained programming (1)
- Cloud passages (1)
- Clustering (1)
- Conpot (1)
- Control optimization (1)
- DNI forecast (1)
- DNI forecasting (1)
- Digital Twin Evolution (1)
- Digital Twins (1)
- Digital start-up (1)
- Direct normal irradiance forecast (1)
- Directed Energy Deposition (1)
- EN 1998-4 (1)
- ESHM20, industrial facilities (1)
- Electrical Flight (1)
- Energy system (1)
- Entrepreneurship (1)
- Environment (1)
- Erasmus+ United (1)
- Ethernet (1)
- Evolution of damage (1)
- Extension fracture (1)
- Extension strain criterion (1)
- FPGA (1)
- Field device (1)
- Flight Mechanics (1)
- Flight Tests (1)
- Gamification (1)
- Global change (1)
- Grounded Theory (1)
- Guidelines (1)
- Heliostat Field Calibration (1)
- Heliostats (1)
- Humidity (1)
- ICS (1)
- In-plane load (1)
- Incremental Encoder (1)
- Industrial Communication (1)
- Industrial facilities (1)
- Industry 4.0 (1)
- Inflight Regeneration, Recuperation (1)
- Information Extraction (1)
- Interaction (1)
- Kalman filter (1)
- Knowledge Transfer (1)
- L-PBF (1)
- LPBF (1)
- Laser-Powder Bed Fusion (1)
- Limit analysis (1)
- Machine Learning (1)
- Malaysian automotive industry (1)
- Measuring instruments (1)
- Mixed integer linear programming (MILP) (1)
- Mohr–Coulomb criterion (1)
- Molten salt receiver (1)
- Molten salt receiver system, (1)
- Multi-agent Systems (1)
- Natural Language Processing (1)
- Nowcasting (1)
- Out-of-plane load (1)
- PEM fuel cells (1)
- PTC (1)
- Parabolic trough collector (1)
- Photovoltaics (1)
- Position Encoder (1)
- Powder Material (1)
- Process mining (1)
- Process prediction (1)
- Profile Extraction (1)
- Propeller Aerodynamics (1)
- Quadrocopter (1)
- Quantum Computing (1)
- Quantum Machine Learning (1)
- Rapid-prototyping (1)
- Reliability of structures (1)
- Renewable energy (1)
- Rotational Encoder (1)
- SME (1)
- Seismic design (1)
- Seismic loading (1)
- Sensors (1)
- Shakedown analysis (1)
- Solar irradiance (1)
- Star design (1)
- Stochastic programming (1)
- Structural health monitoring (1)
- Success Factors (1)
- Support System (1)
- Tanks (1)
- Text Mining (1)
- Thermal Energy Storage (1)
- Time-series aggregation (1)
- Tobacco mosaic virus (1)
- Training (1)
- Typical periods (1)
- UAV (1)
- UTeM Engineering Knowledge Transfer Unit (1)
- Uncertainty analysis (1)
- Unmanned aerial vehicle (1)
- Wiegand Effect (1)
- Window opening (1)
- acetoin (1)
- aviation application (1)
- behaviour factor q (1)
- capacitive field-effect biosensor (1)
- combustor development (1)
- competence developing games (1)
- control system (1)
- cyber physical production system (1)
- cyber-physical production system (1)
- cybersecurity (1)
- digital shadow (1)
- digital twin (1)
- emission (1)
- enzyme immobilization (1)
- fuel cell systems (1)
- fuels (1)
- health management systems (1)
- honeynet (1)
- honeypot (1)
- human digital shadow (1)
- human factors (1)
- human-machine interface (1)
- hydrogen (1)
- industrial gas turbine (1)
- linear elastic analysis; (1)
- metrological characterization (1)
- modern constructions (1)
- passive inter-modulation (1)
- power integrity (1)
- requirements (1)
- safety control (1)
- seismic hazard (1)
- signal integrity (1)
- software engineering (1)
- systematic literature review (1)
- technology transfer (1)
- unreinforced masonry buildings (1)
Open Data impliziert die freie Zugänglichkeit, Verfügbarkeit und Wiederverwendbarkeit von Datensätzen. Obwohl hochwertige Datensätze öffentlich verfügbar sind, ist der Zugang zu diesen und die Transparenz über die Formate nicht immer gegeben. Dies mindert die optimale Nutzung des Potenzials zur Wertschöpfung, trotz der vorherrschenden Einigkeit über ihre Chancen. Denn Open Data ermöglicht das Vorantreiben von Compliance-Themen wie Transparenz und Rechenschaftspflicht bis hin zur Förderung von Innovationen. Die Nutzung von Open Data erfordert Mut und eine gemeinsame Anstrengung verschiedener Akteure und Branchen. Im Rahmen des vorliegenden Beitrags werden auf Grundlage des Design Science-Ansatzes eine Open Data Capability Map sowie darauf aufbauend eine Datenarchitektur für Open Data in der Luftfahrtindustrie an einem Beispiel entwickelt.
Fields of asymmetric tensors play an important role in many applications such as medical imaging (diffusion tensor magnetic resonance imaging), physics, and civil engineering (for example Cauchy-Green-deformation tensor, strain tensor with local rotations, etc.). However, such asymmetric tensors are usually symmetrized and then further processed. Using this procedure results in a loss of information. A new method for the processing of asymmetric tensor fields is proposed restricting our attention to tensors of second-order given by a 2x2 array or matrix with real entries. This is achieved by a transformation resulting in Hermitian matrices that have an eigendecomposition similar to symmetric matrices. With this new idea numerical results for real-world data arising from a deformation of an object by external forces are given. It is shown that the asymmetric part indeed contains valuable information.
New materials often lead to innovations and advantages in technical applications. This also applies to the particle receiver proposed in this work that deploys high-temperature and scratch resistant transparent ceramics. With this receiver design, particles are heated through direct-contact concentrated solar irradiance while flowing downwards through tubular transparent ceramics from top to bottom. In this paper, the developed particle receiver as well as advantages and disadvantages are described. Investigations on the particle heat-up characteristics from solar irradiance were carried out with DEM simulations which indicate that particle temperatures can reach up to 1200 K. Additionally, a simulation model was set up for investigating the dynamic behavior. A test receiver at laboratory scale has been designed and is currently being built. In upcoming tests, the receiver test rig will be used to validate the simulation results. The design and the measurement equipment is described in this work.
The Solar-Institut Jülich (SIJ) and the companies Hilger GmbH and Heliokon GmbH from Germany have developed a small-scale cost-effective heliostat, called “micro heliostat”. Micro heliostats can be deployed in small-scale concentrated solar power (CSP) plants to concentrate the sun's radiation for electricity generation, space or domestic water heating or industrial process heat. In contrast to conventional heliostats, the special feature of a micro heliostat is that it consists of dozens of parallel-moving, interconnected, rotatable mirror facets. The mirror facets array is fixed inside a box-shaped module and is protected from weathering and wind forces by a transparent glass cover. The choice of the building materials for the box, tracking mechanism and mirrors is largely dependent on the selected production process and the intended application of the micro heliostat. Special attention was paid to the material of the tracking mechanism as this has a direct influence on the accuracy of the micro heliostat. The choice of materials for the mirror support structure and the tracking mechanism is made in favor of plastic molded parts. A qualification assessment method has been developed by the SIJ in which a 3D laser scanner is used in combination with a coordinate measuring machine (CMM). For the validation of this assessment method, a single mirror facet was scanned and the slope deviation was computed.
Concentrated Solar Power (CSP) systems are able to store energy cost-effectively in their integrated thermal energy storage (TES). By intelligently combining Photovoltaics (PV) systems with CSP, a further cost reduction of solar power plants is expected, as well as an increase in dispatchability and flexibility of power generation. PV-powered Resistance Heaters (RH) can be deployed to raise the temperature of the molten salt hot storage from 385 °C up to 565 °C in a Parabolic Trough Collector (PTC) plant. To avoid freezing and decomposition of molten salt, the temperature distribution in the electrical resistance heater is investigated in the present study. For this purpose, a RH has been modeled and CFD simulations have been performed. The simulation results show that the hottest regions occur on the electric rod surface behind the last baffle. A technical optimization was performed by adjusting three parameters: Shell-baffle clearance, electric rod-baffle clearance and number of baffles. After the technical optimization was carried out, the temperature difference between the maximum temperature and the average outlet temperature of the salt is within the acceptable limits, thus critical salt decomposition has been avoided. Additionally, the CFD simulations results were analyzed and compared with results obtained with a one-dimensional model in Modelica.
Technical assessment of Brayton cycle heat pumps for the integration in hybrid PV-CSP power plants
(2022)
The hybridization of Concentrated Solar Power (CSP) and Photovoltaics (PV) systems is a promising approach to reduce costs of solar power plants, while increasing dispatchability and flexibility of power generation. High temperature heat pumps (HT HP) can be utilized to boost the salt temperature in the thermal energy storage (TES) of a Parabolic Trough Collector (PTC) system from 385 °C up to 565 °C. A PV field can supply the power for the HT HP, thus effectively storing the PV power as thermal energy. Besides cost-efficiently storing energy from the PV field, the power block efficiency of the overall system is improved due to the higher steam parameters. This paper presents a technical assessment of Brayton cycle heat pumps to be integrated in hybrid PV-CSP power plants. As a first step, a theoretical analysis was carried out to find the most suitable working fluid. The analysis included the fluids Air, Argon (Ar), Nitrogen (N2) and Carbon dioxide (CO2). N2 has been chosen as the optimal working fluid for the system. After the selection of the ideal working medium, different concepts for the arrangement of a HT HP in a PV-CSP hybrid power plant were developed and simulated in EBSILON®Professional. The concepts were evaluated technically by comparing the number of components required, pressure losses and coefficient of performance (COP).
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.
A promising approach to reduce the system costs of molten salt solar receivers is to enable the irradiation of the absorber tubes on both sides. The star design is an innovative receiver design, pursuing this approach. The unconventional design leads to new challenges in controlling the system. This paper presents a control concept for a molten salt receiver system in star design. The control parameters are optimized in a defined test cycle by minimizing a cost function. The control concept is tested in realistic cloud passage scenarios based on real weather data. During these tests, the control system showed no sign of unstable behavior, but to perform sufficiently in every scenario further research and development like integrating Model Predictive Controls (MPCs) need to be done. The presented concept is a starting point to do so.
Concerning current efforts to improve operational efficiency and to lower overall costs of concentrating solar power (CSP) plants with prediction-based algorithms, this study investigates the quality and uncertainty of nowcasting data regarding the implications for process predictions. DNI (direct normal irradiation) maps from an all-sky imager-based nowcasting system are applied to a dynamic prediction model coupled with ray tracing. The results underline the need for high-resolution DNI maps in order to predict net yield and receiver outlet temperature realistically. Furthermore, based on a statistical uncertainty analysis, a correlation is developed, which allows for predicting the uncertainty of the net power prediction based on the corresponding DNI forecast uncertainty. However, the study reveals significant prediction errors and the demand for further improvement in the accuracy at which local shadings are forecasted.
This work presents a basic forecast tool for predicting direct normal irradiance (DNI) in hourly resolution, which the Solar-Institut Jülich (SIJ) is developing within a research project. The DNI forecast data shall be used for a parabolic trough collector (PTC) system with a concrete thermal energy storage (C-TES) located at the company KEAN Soft Drinks Ltd in Limassol, Cyprus. On a daily basis, 24-hour DNI prediction data in hourly resolution shall be automatically produced using free or very low-cost weather forecast data as input. The purpose of the DNI forecast tool is to automatically transfer the DNI forecast data on a daily basis to a main control unit (MCU). The MCU automatically makes a smart decision on the operation mode of the PTC system such as steam production mode and/or C-TES charging mode. The DNI forecast tool was evaluated using historical data of measured DNI from an on-site weather station, which was compared to the DNI forecast data. The DNI forecast tool was tested using data from 56 days between January and March 2022, which included days with a strong variation in DNI due to cloud passages. For the evaluation of the DNI forecast reliability, three categories were created and the forecast data was sorted accordingly. The result was that the DNI forecast tool has a reliability of 71.4 % based on the tested days. The result fulfils SIJ’s aim to achieve a reliability of around 70 %, but SIJ aims to still improve the DNI forecast quality.