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To maximize the travel distances of battery electric vehicles such as cars or buses for a given amount of stored energy, their powertrains are optimized energetically. One key part within optimization models for electric powertrains is the efficiency map of the electric motor. The underlying function is usually highly nonlinear and nonconvex and leads to major challenges within a global optimization process. To enable faster solution times, one possibility is the usage of piecewise linearization techniques to approximate the nonlinear efficiency map with linear constraints. Therefore, we evaluate the influence of different piecewise linearization modeling techniques on the overall solution process and compare the solution time and accuracy for methods with and without explicitly used binary variables.
Comparative assessment of parallel-hybrid-electric propulsion systems for four different aircraft
(2020)
As battery technologies advance, electric propulsion concepts are on the edge of disrupting aviation markets. However, until electric energy storage systems are ready to allow fully electric aircraft, the combination of combustion engine and electric motor as a hybrid-electric propulsion system seems to be a promising intermediate solution. Consequently, the design space for future aircraft is expanded considerably, as serial-hybrid-, parallel-hybrid-, fully-electric, and conventional propulsion systems must all be considered. While the best propulsion system depends on a multitude of requirements and considerations, trends can be observed for certain types of aircraft and certain types of missions. This paper provides insight into some factors that drive a new design towards either conventional or hybrid propulsion systems. General aviation aircraft, VTOL air taxis, transport aircraft, and UAVs are chosen as case studies. Typical missions for each class are considered, and the aircraft are analyzed regarding their take-off mass and primary energy consumption. For these case studies, a high-level approach is chosen, using an initial sizing methodology. Results indicate that hybrid-electric propulsion systems should be considered if the propulsion system is sized by short-duration power constraints (e.g. take-off, climb). However, if the propulsion system is sized by a continuous power requirement (e.g. cruise), hybrid-electric systems offer hardly any benefit.
O Perfil Reiss apresenta no resultado uma visão da estrutura dos motivos e impulsos de uma pessoa. O ponto de saída para a análise do resultado é o conhecimento de que os motivos vitais (= valores e metas de sobrevivência) formam a moldura, na qual as competências e capacidades que uma pessoa possui possam se desabrochar de forma ideal. A partir desse princípio, não existe no Perfil Reiss nenhum resultado que se possa classificar como correto ou falso, nem como bom ou mau. Uma comparação entre o resultado do Perfil Reiss e o conteúdo de uma atividade apresentada ou ambicionada dá informação sobre até que ponto a capacidade de rendimento de uma pessoa nessa posição pode vir ou virá a se desenvolver por um longo tempo.
Kawasaki Heavy Industries, LTD. (KHI) has research and development projects for a future hydrogen society. These projects comprise the complete hydrogen cycle, including the production of hydrogen gas, the refinement and liquefaction for transportation and storage, and finally the utilization in a gas turbine for electricity and heat supply. Within the development of the hydrogen gas turbine, the key technology is stable and low NOx hydrogen combustion, namely the Dry Low NOx (DLN) hydrogen combustion.
KHI, Aachen University of Applied Science, and B&B-AGEMA have investigated the possibility of low NOx micro-mix hydrogen combustion and its application to an industrial gas turbine combustor. From 2014 to 2018, KHI developed a DLN hydrogen combustor for a 2MW class industrial gas turbine with the micro-mix technology. Thereby, the ignition performance, the flame stability for equivalent rotational speed, and higher load conditions were investigated. NOx emission values were kept about half of the Air Pollution Control Law in Japan: 84ppm (O2-15%). Hereby, the elementary combustor development was completed.
From May 2020, KHI started the engine demonstration operation by using an M1A-17 gas turbine with a co-generation system located in the hydrogen-fueled power generation plant in Kobe City, Japan. During the first engine demonstration tests, adjustments of engine starting and load control with fuel staging were investigated. On 21st May, the electrical power output reached 1,635 kW, which corresponds to 100% load (ambient temperature 20 °C), and thereby NOx emissions of 65 ppm (O2-15, 60 RH%) were verified. Here, for the first time, a DLN hydrogen-fueled gas turbine successfully generated power and heat.
Kawasaki Heavy Industries, Ltd. (KHI), Aachen University of Applied Sciences, and B&B-AGEMA GmbH have investigated the potential of low NOx micro-mix (MMX) hydrogen combustion and its application to an industrial gas turbine combustor. Engine demonstration tests of a MMX combustor for the M1A-17 gas turbine with a co-generation system were conducted in the hydrogen-fueled power generation plant in Kobe City, Japan.
This paper presents the results of the commissioning test and the combined heat and power (CHP) supply demonstration. In the commissioning test, grid interconnection, loading tests and load cut-off tests were successfully conducted. All measurement results satisfied the Japanese environmental regulation values. Dust and soot as well as SOx were not detected. The NOx emissions were below 84 ppmv at 15 % O2. The noise level at the site boundary was below 60 dB. The vibration at the site boundary was below 45 dB.
During the combined heat and power supply demonstration, heat and power were supplied to neighboring public facilities with the MMX combustion technology and 100 % hydrogen fuel. The electric power output reached 1800 kW at which the NOx emissions were 72 ppmv at 15 % O2, and 60 %RH. Combustion instabilities were not observed. The gas turbine efficiency was improved by about 1 % compared to a non-premixed type combustor with water injection as NOx reduction method. During a total equivalent operation time of 1040 hours, all combustor parts, the M1A-17 gas turbine as such, and the co-generation system were without any issues.
In this paper we report on CO2 Meter, a do-it-yourself carbon dioxide measuring device for the classroom. Part of the current measures for dealing with the SARS-CoV-2 pandemic is proper ventilation in indoor settings. This is especially important in schools with students coming back to the classroom even with high incidents rates. Static ventilation patterns do not consider the individual situation for a particular class. Influencing factors like the type of activity, the physical structure or the room occupancy are not incorporated. Also, existing devices are rather expensive and often provide only limited information and only locally without any networking. This leaves the potential of analysing the situation across different settings untapped. Carbon dioxide level can be used as an indicator of air quality, in general, and of aerosol load in particular. Since, according to the latest findings, SARS-CoV-2 can be transmitted primarily in the form of aerosols, carbon dioxide may be used as a proxy for the risk of a virus infection. Hence, schools could improve the indoor air quality and potentially reduce the infection risk if they actually had measuring devices available in the classroom. Our device supports schools in ventilation and it allows for collecting data over the Internet to enable a detailed data analysis and model generation. First deployments in schools at different levels were received very positively. A pilot installation with a larger data collection and analysis is underway.
Chemische Sensoren mit Bariumstrontiumtitanat als funktionelle Schicht zur Multiparameterdetektion
(2013)
Characterization and evaluation of lignocellulosic biomass 130 hydrolysates for ABE fermentation
(2016)
The integration of product data from heterogeneous sources and manufacturers into a single catalog is often still a laborious, manual task. Especially small- and medium-sized enterprises face the challenge of timely integrating the data their business relies on to have an up-to-date product catalog, due to format specifications, low quality of data and the requirement of expert knowledge. Additionally, modern approaches to simplify catalog integration demand experience in machine learning, word vectorization, or semantic similarity that such enterprises do not have. Furthermore, most approaches struggle with low-quality data. We propose Attribute Label Ranking (ALR), an easy to understand and simple to adapt learning approach. ALR leverages a model trained on real-world integration data to identify the best possible schema mapping of previously unknown, proprietary, tabular format into a standardized catalog schema. Our approach predicts multiple labels for every attribute of an inpu t column. The whole column is taken into consideration to rank among these labels. We evaluate ALR regarding the correctness of predictions and compare the results on real-world data to state-of-the-art approaches. Additionally, we report findings during experiments and limitations of our approach.
The integration of frequently changing, volatile product data from different manufacturers into a single catalog is a significant challenge for small and medium-sized e-commerce companies. They rely on timely integrating product data to present them aggregated in an online shop without knowing format specifications, concept understanding of manufacturers, and data quality. Furthermore, format, concepts, and data quality may change at any time. Consequently, integrating product catalogs into a single standardized catalog is often a laborious manual task. Current strategies to streamline or automate catalog integration use techniques based on machine learning, word vectorization, or semantic similarity. However, most approaches struggle with low-quality or real-world data. We propose Attribute Label Ranking (ALR) as a recommendation engine to simplify the integration process of previously unknown, proprietary tabular format into a standardized catalog for practitioners. We evaluate ALR by focusing on the impact of different neural network architectures, language features, and semantic similarity. Additionally, we consider metrics for industrial application and present the impact of ALR in production and its limitations.
[Paper of the X International Symposium on Lightning Protection 9th - 13th November, 2009 - Curitiba, Brazil. 6 pages] The international standard IEC 62305-3, published in 2006, requires as an integral part of the lightning protection system (LPS) the consideration of a separation distance between the conductors of the LPS and metal and electrical installations inside the structure to be protected. IEC 62305-3 gives two different methods for this calculation: a standard, simplified approach and a more detailed approach, which differ especially regarding the treatment of the current sharing effect on the LPS conductors. Hence, different results for the separation distance are possible, leading to some discrepancies in the use of the standard. The standard approach defined in the main part (Clause 6.3) and in Annex C of the standard in some cases may lead to a severe oversizing of the required separation distance. The detailed approach described in Annex E naturally gives more correct results. However, a calculation of the current sharing amongst all parts of the air-termination and downconductor network is necessary, in many cases requiring the use of network analysis programs. In this paper simplified methods for the assessment of the current sharing are presented, which are easy to use as well as sufficiently adequate.
Proceedings of the International Conference on Material Theory and Nonlinear Dynamics. MatDyn. Hanoi, Vietnam, Sept. 24-26, 2007, 8 p. In this paper, a method is introduced to determine the limit load of general shells using the finite element method. The method is based on an upper bound limit and shakedown analysis with elastic-perfectly plastic material model. A non-linear constrained optimisation problem is solved by using Newton’s method in conjunction with a penalty method and the Lagrangean dual method. Numerical investigation of a pipe bend subjected to bending moments proves the effectiveness of the algorithm.
Numerical models have become an essential part of snow avalanche engineering. Recent
advances in understanding the rheology of flowing snow and the mechanics of entrainment and
deposition have made numerical models more reliable. Coupled with field observations and historical
records, they are especially helpful in understanding avalanche flow in complex terrain. However, the
application of numerical models poses several new challenges to avalanche engineers. A detailed
understanding of the avalanche phenomena is required to specify initial conditions (release zone
dimensions and snowcover entrainment rates) as well as the friction parameters, which are no longer
based on empirical back-calculations, rather terrain roughness, vegetation and snow properties. In this
paper we discuss these problems by presenting the computer model RAMMS, which was specially
designed by the SLF as a practical tool for avalanche engineers. RAMMS solves the depth-averaged
equations governing avalanche flow with first and second-order numerical solution schemes. A
tremendous effort has been invested in the implementation of advanced input and output features.
Simulation results are therefore clearly and easily visualized to simplify their interpretation. More
importantly, RAMMS has been applied to a series of well-documented avalanches to gauge model
performance. In this paper we present the governing differential equations, highlight some of the input
and output features of RAMMS and then discuss the simulation of the Gatschiefer avalanche that
occurred in April 2008, near Klosters/Monbiel, Switzerland.
Within the framework of the project a genderand diversity-oriented teaching evaluation and modern, media-supported blended learning approaches were used in order to achieve the intended goals. First research results of the literature and status quo analysis were already implemented and tested in newly designed teaching approaches, for example in a multidisciplinary introductory lecture of civil engineering at RWTH Aachen University.
Ein von der Arbeitsgemeinschaft (AG) Solar NRW und diversen Industriepartnern gefördertes und an der Fachhochschule Aachen, Abt. Jülich durchgeführtes Forschungsprojekt „Blitzschutz für netz-autarke Hybridanlagen“ machte es möglich, sich mit dem Blitzschutz speziell solcher Anlagen näher zu beschäftigen. Vermehrt bekannt gewordene Schadensfälle an nicht netz-gekoppelten Hybridanlagen waren der Auslöser, den Schutz zu überdenken. Definiertes Ziel war es, für netz-autarke energietechnische Anlagen ein Konzept zum Schutz vor Blitzeinwirkungen zu erstellen. Diese Anlagen bestehen üblicherweise aus einer oder mehreren Photovoltaikanlagen, ggf. auch Solarthermieanlagen und einem oder mehreren kleineren Windgeneratoren (sie werden deshalb auch als Hybridanlagen bezeichnet). Zur Erhöhung der Versorgungssicherheit kann noch ein Dieselaggregat dazukommen. Hybridanlagen werden vor allem in Gebieten mit sehr schlechter öffentlicher Energieversorgung eingesetzt, d.h. insbesondere in relativ dünn bewohnten Gebieten und in Entwicklungsländern. Dem Blitzschutz von Hybridanlagen kommt dabei eine steigende Bedeutung zu. Besonderes Augenmerk in dem genannten Forschungsprojekt sollte dabei auf die technisch/wirtschaftliche Ausgewogenheit des Schutzes gelegt werden: • die Schutzmaßnahmen sollen nur in solchen Fällen eingesetzt werden, wo dies als Ergebnis von Risikoanalysen sinnvoll erscheint; • für typische netz-autarke Hybridanlagen sollen die Schutzmaßnahmen ohne deutliche Verteuerung realisierbar sein (es soll also kein absoluter Schutz realisiert werden; ggf. soll lediglich der auftretende Schaden soweit möglich minimiert werden). Dazu wurde in einem ersten Schritt zunächst eine Aufnahme des Iststandes einiger typischer netz-autarker Hybridanlagen und deren einzelnen Komponenten durchgeführt. Aufgrund dessen wurde eine umfassende Risikoanalyse zur Blitzbedrohung dieser Anlagen auf der Basis von VDE V 0185 Teil 2:2002-11 [1] erstellt. Die Ergebnisse mündeten in ein technisch/wirtschaftlich ausgewogenes Konzept für den Anlagen- Blitzschutz (d.h. insbesondere dem Schutz vor direkten Blitzeinschlägen und deren unmittelbaren Auswirkungen) nach VDE V 0185 Teil 3:2002-11 [2] und für den Elektronik-Blitzschutz (d.h. für den Schutz vor Überspannungen durch direkte, insbesondere aber auch indirekte Blitzeinschläge) nach VDE V 0185 Teil 4:2002-11 [3]. Aufgrund der gesammelten Ergebnisse konnten dabei allgemeine Empfehlungen für den Äußeren und Inneren Blitzschutz von regenerativen Energieerzeugungssystemen erstellt werden. Diese sollen in Schulungen einmünden, die für Hersteller und Betreiber von Hybridanlagen angeboten werden. Durch die Anwendung wird der Schutz der Anlagen vor Blitzeinwirkung und elektromagnetischen Störungen verbessert, was sich in einer reduzierten Ausfallwahrscheinlichkeit bzw. erhöhten Verfügbarkeit wiederspiegelt. An einigen ausgewählten Anlagen werden mit Hilfe der im Projekt involvierten Industriepartner die Schutzmaßnahmen realisiert. Hierbei entstanden den Eigentümern bzw. Betreibern der Anlagen keine Kosten. In diesem Beitrag werden beispielhaft drei Anlagenprojekte detailliert gezeigt. Es handelt sich dabei um eine Schweinezuchtfarm in Magallón (Spanien, Zaragozza), das bioklimatische Haus (Kreta, Heraklion) und die Tegernseer- Hütte (Deutschland, Lenggries).
Blitzschutzkonzept für eine netz-autarke Hybridanlage am Beispiel der Anlage VATALI auf Kreta
(2001)
Netz-autarke Anlagen bestehen üblicherweise aus einer oder mehreren Photovoltaik- (PV-) Anlagen, ggf. auch Solarthermie- (ST-) Anlagen und einem oder mehreren kleineren Windgeneratoren (sie werden deshalb auch als Hybridanlagen bezeichnet) und werden vor allem in Gegenden mit sehr schlechter öffentlicher Energieversorgung eingesetzt, d.h. insbesondere in rel. dünn bewohnten Gebieten und in Entwicklungsländern. Der Blitzschutz von netz-autarken Hybridanlagen ist ein bislang noch vergleichsweise unzureichend bearbeitetes Fachgebiet. Für große Windenergie-Anlagen (WEA) wurde in den letzten Jahren eine Zahl von FuE-Projekten durchgeführt, zum Großteil finanziert durch die öffentliche Hand, zum kleineren Teil auch durch die Industrie, d.h. die WEAHersteller. Dabei wurden bestehende Defizite im Design der WEA festgestellt und Maßnahmen vorgeschlagen, die vor den mechanischen Zerstörungen insbesondere des Rotors und vor den Störungen und Zerstörungen an den elektrischen / elektronischen Systemen der WEA weitgehend Schutz bieten [1, 2, 3]. Der Stand-der- Normung ist im Entwurf DIN VDE 0127 Teil 24 „Blitzschutz für Windenergieanlagen“ (dt. Übersetzung des internationalen Drafts IEC 61400-24 „Wind turbine generator systems; Part 24: Lightning Protection“) dokumentiert [4]. Die Maßnahmen sind allerdings insbesondere für größere WEA vorgesehen; im Falle kleinerer WEA lassen sie sich nur bedingt umsetzen. Trotzdem sind auch kleinere WEA rel. stark blitzeinschlaggefährdet, wenn sie auf einer Bergkuppe o.ä. platziert werden. Für solche kleinere WEA, wie sie bei Hybridanlagen üblicherweise Verwendung finden, müssen die Blitzschutzmaßnahmen aus der DIN VDE 0127 Teil 24 angepasst werden. Für PV- und ST-Anlagen ist eine entsprechende Blitzschutz-Norm noch nicht in Sicht. Hier ist vor allem der Schutz gegen direkte Blitzeinschläge in die Anlage bzw. die Gebäude noch nicht ausreichend beachtet. Blitzfangeinrichtungen sind oft nicht vorgesehen. In aller Regel hat man dabei bisher eine Ausführungsform des Blitzschutzes realisiert, die primär einen Ferneinschlag berücksichtigt und die dabei entstehenden induzierten, rel. energieschwachen Überspannungen durch schwächere Schutzelemente wie Rückstromdioden, Bypassdioden und zum Teil thermisch überwachte Varistoren begrenzt [5, 6, 7]. Diese Schutzelemente können allerdings bei Naheinschlägen bzw. Direkteinschlägen überlastet und damit zerstört werden. Darüber hinaus können Nahoder Direkteinschläge auch zur Schwächung der elektrischen Festigkeit der PVModulisolierung führen. Die Folge davon sind lokale extreme Wärmeentwicklungen, die sogar ein Schmelzen von Glas (sekundärer Langzeiteffekt) hervorrufen könnten. Bei einem Blitzeinschlag in die netz-autarke Hybridanlage VATALI auf Kreta im Jahre 2000 wurden sowohl einige mechanische wie auch elektrische Komponenten der Anlage zerstört bzw. zum Teil schwer beschädigt. Die Anlage VATALI besaß zum Zeitpunkt des Blitzeinschlags keinen wirksamen Blitzschutz. Der Gesamtschaden der Hardware belief sich auf ca. 60.000,- EURO. Die exponierte Stellung der Anlage auf einer Bergspitze stellte und stellt nach wie vor ein enormes Blitzeinschlag-Risiko dar, so dass auch zukünftig mit Blitzeinwirkungen gerechnet werden muss. Die Anlage wurde inspiziert, blitzschutz-technische Erfordernisse definiert und daraus Ertüchtigungsmaßnahmen abgeleitet, die mit überschaubarem Aufwand realisierbar sind.
Bauliche Anlagen mit Stahlkonstruktionen (bzw. auch Stahlbetonskelett- Konstruktionen) und metallenen Wänden sind bereits in sehr großer Zahl errichtet. Dazu gehören kleinere bis größere Lagerhallen ebenso wie Einkaufszentren. Sie zeichnen sich durch große Flexibilität, einfache Planung, kurze Bauzeit und rel. geringe Kosten aus. Auch in der nahen Zukunft ist deshalb mit Planung und Errichtung weiterer solcher baulicher Anlagen zu rechnen. Abhängig von der Nutzung der Hallen sind auch mehr oder weniger umfangreiche elektrische und elektronische Systeme vorhanden, die wichtige Funktionen sicherstellen müssen. Der Blitzschutz für diese baulichen Anlagen sollte sich also nicht nur im „klassischen“ Gebäude-Blitzschutz nach DIN V 0185-3 VDE V 0185 Teil 3 [1] erschöpfen; ein Ergänzung hin zu einem sinnvollen Grundschutz der elektrischen und elektronischen Systeme nach DIN V 0185-4 VDE V 0185 Teil 4 [2] ist anzuraten. Im folgenden Beitrag wird ein Konzept vorgestellt, mit dem ein hochwertiger Blitzschutz sowohl der baulichen Anlage und der darin befindlichen Personen, als auch der elektrischen und elektronischen Systeme verwirklicht werden kann. Insbesondere bei großflächigen Hallen stellen sich dabei besondere Anforderungen. Das Konzept und die zugehörigen blitzschutz-technischen Maßnahmen können drei Hauptbereichen zugeordnet werden: - Äußerer Blitzschutz; - Innerer Blitzschutz; - weitergehende besondere Maßnahmen. Das Konzept sowie die Maßnahmen werden allgemein beschrieben und teilweise anhand einer ausgeführten Anlage mit Fotos beispielhaft dokumentiert.
In many historical centers in Europe, stone masonry is part of building aggregates, which developed when the layout of the city or village was densified. The analysis of such building aggregates is very challenging and modelling guidelines missing. Advances in the development of analysis methods have been impeded by the lack of experimental data on the seismic response of such aggregates. The SERA project AIMS (Seismic Testing of Adjacent Interacting Masonry Structures) provides such experimental data by testing an aggregate of two buildings under two horizontal components of dynamic excitation. With the aim to advance the modelling of unreinforced masonry aggregates, a blind prediction competition is organized before the experimental campaign. Each group has been provided a complete set of construction drawings, material properties, testing sequence and the list of measurements to be reported. The applied modelling approaches span from equivalent frame models to Finite Element models using shell elements and discrete element models with solid elements. This paper compares the first entries, regarding the modelling approaches, results in terms of base shear, roof displacements, interface openings, and the failure modes.
Blended Shopping
(2009)
This paper reports a first microbial biosensor for rapid and cost-effective determination of organophosphorus pesticides fenitrothion and EPN. The biosensor consisted of recombinant PNP-degrading/oxidizing bacteria Pseudomonas putida JS444 anchoring and displaying organophosphorus hydrolase (OPH) on its cell surface as biological sensing element and a dissolved oxygen electrode as the transducer. Surfaceexpressed OPH catalyzed the hydrolysis of fenitrothion and EPN to release 3-methyl-4-nitrophenol and p-nitrophenol, respectively, which were oxidized by the enzymatic machinery of Pseudomonas putida JS444 to carbon dioxide while consuming oxygen, which was measured and correlated to the concentration of organophosphates. Under the optimum operating conditions, the biosensor was able to measure as low as 277 ppb of fenitrothion and 1.6 ppm of EPN without interference from phenolic compounds and other commonly used pesticides such as carbamate pesticides, triazine herbicides and organophosphate pesticides without nitrophenyl substituent. The applicability of the biosensor to lake water was also demonstrated.
Tests with palm tree leaves have just started yet and scan data are in the process to be analyzed. The final goal of future project for palm tree gender and species recognition will be to develop optical scanning technology to be applied to date palm tree leaves for in–situ screening purposes. Depending on the software used and the particular requirements of the users the technology potentially shall be able to identify palm tree diseases, palm tree gender, and species of young date palm trees by scanning leaves.
Biomechanical simulation of different prosthetic meshes for repairing uterine/vaginal vault prolapse
(2017)
The overall objective of this study is to develop a new external fixator, which closely maps the native kinematics of the elbow to decrease the joint force resulting in reduced rehabilitation time and pain. An experimental setup was designed to determine the native kinematics of the elbow during flexion of cadaveric arms. As a preliminary study, data from literature was used to modify a published biomechanical model for the calculation of the joint and muscle forces. They were compared to the original model and the effect of the kinematic refinement was evaluated. Furthermore, the obtained muscle forces were determined in order to apply them in the experimental setup. The joint forces in the modified model differed slightly from the forces in the original model. The muscle force curves changed particularly for small flexion angles but their magnitude for larger angles was consistent.
Biomasse-Potential
(1985)
Recent earthquakes showed that low-rise URM buildings following codecompliant seismic design and details behaved in general very well without substantial damages. Although advances in simulation tools make nonlinear calculation methods more readily accessible to designers, linear analyses will still be the standard design method for years to come. The present paper aims to improve the linear seismic design method by providing a proper definition of the q-factor of URM buildings. Values of q-factors are derived for low-rise URM buildings with rigid diaphragms, with reference to modern structural configurations realized in low to moderate seismic areas of Italy and Germany. The behaviour factor components for deformation and energy dissipation capacity and for overstrength due to the redistribution of forces are derived by means of pushover analyses. As a result of the investigations, rationally based values of the behaviour factor q to be used in linear analyses in the range of 2.0 to 3.0 are proposed.
In: Alfha.net / Sektion Bauingenieurwesen: 1. [Erster] Erfahrungsaustausch : Absolventen des Fachbereichs Bauingenieurwesens berichten. 13. Oktober 2006. S. 19-20. Zusammenfassung des Vortrags: Prozessanalyse und Revision beim Umbau des Flughafens Hamburg, Beratung von Bauunternehmen, Sachverständigentätigkeit
The production of dispatchable renewable energy will be one of the most important key factors of the future energy supply. Concentrated solar power (CSP) plants operated with molten salt as heat transfer and storage media are one opportunity to meet this challenge. Due to the high concentration factor of the solar tower technology the maximum process temperature can be further increased which ultimately decreases the levelized costs of electricity of the technology (LCOE). The development of an improved tubular molten salt receiver for the next generation of molten salt solar tower plants is the aim of this work. The receiver is designed for a receiver outlet temperature up to 600 °C. Together with a complete molten salt system, the receiver will be integrated into the Multi-Focus-Tower (MFT) in Jülich (Germany). The paper describes the basic engineering of the receiver, the molten salt tower system and a laboratory corrosion setup.
Reliable methods for automatic readability assessment have the potential to impact a variety of fields, ranging from machine translation to self-informed learning. Recently, large language models for the German language (such as GBERT and GPT-2-Wechsel) have become available, allowing to develop Deep Learning based approaches that promise to further improve automatic readability assessment. In this contribution, we studied the ability of ensembles of fine-tuned GBERT and GPT-2-Wechsel models to reliably predict the readability of German sentences. We combined these models with linguistic features and investigated the dependence of prediction performance on ensemble size and composition. Mixed ensembles of GBERT and GPT-2-Wechsel performed better than ensembles of the same size consisting of only GBERT or GPT-2-Wechsel models. Our models were evaluated in the GermEval 2022 Shared Task on Text Complexity Assessment on data of German sentences. On out-of-sample data, our best ensemble achieved a root mean squared error of 0:435.
In collaborative research projects, both researchers and practitioners work together solving business-critical challenges. These projects often deal with ETL processes, in which humans extract information from non-machine-readable documents by hand. AI-based machine learning models can help to solve this problem.
Since machine learning approaches are not deterministic, their quality of output may decrease over time. This fact leads to an overall quality loss of the application which embeds machine learning models. Hence, the software qualities in development and production may differ.
Machine learning models are black boxes. That makes practitioners skeptical and increases the inhibition threshold for early productive use of research prototypes. Continuous monitoring of software quality in production offers an early response capability on quality loss and encourages the use of machine learning approaches. Furthermore, experts have to ensure that they integrate possible new inputs into the model training as quickly as possible.
In this paper, we introduce an architecture pattern with a reference implementation that extends the concept of Metrics Driven Research Collaboration with an automated software quality monitoring in productive use and a possibility to auto-generate new test data coming from processed documents in production.
Through automated monitoring of the software quality and auto-generated test data, this approach ensures that the software quality meets and keeps requested thresholds in productive use, even during further continuous deployment and changing input data.
Combined with the use of renewable energy sources for
its production, Hydrogen represents a possible alternative gas
turbine fuel for future low emission power generation. Due to
its different physical properties compared to other fuels such
as natural gas, well established gas turbine combustion
systems cannot be directly applied for Dry Low NOx (DLN)
Hydrogen combustion. This makes the development of new
combustion technologies an essential and challenging task
for the future of hydrogen fueled gas turbines.
The newly developed and successfully tested “DLN
Micromix” combustion technology offers a great potential to
burn hydrogen in gas turbines at very low NOx emissions.
Aiming to further develop an existing burner design in terms
of increased energy density, a redesign is required in order to
stabilise the flames at higher mass flows and to maintain low
emission levels.
For this purpose, a systematic design exploration has
been carried out with the support of CFD and optimisation
tools to identify the interactions of geometrical and design
parameters on the combustor performance. Aerodynamic
effects as well as flame and emission formation are observed
and understood time- and cost-efficiently. Correlations
between single geometric values, the pressure drop of the
burner and NOx production have been identified as a result.
This numeric methodology helps to reduce the effort of
manufacturing and testing to few designs for single
validation campaigns, in order to confirm the flame stability
and NOx emissions in a wider operating condition field.
Having well-defined control strategies for fuel cells, that can efficiently detect errors and take corrective action is critically important for safety in all applications, and especially so in aviation. The algorithms not only ensure operator safety by monitoring the fuel cell and connected components, but also contribute to extending the health of the fuel cell, its durability and safe operation over its lifetime. While sensors are used to provide peripheral data surrounding the fuel cell, the internal states of the fuel cell cannot be directly measured. To overcome this restriction, Kalman Filter has been implemented as an internal state observer.
Other safety conditions are evaluated using real-time data from every connected sensor and corrective actions automatically take place to ensure safety. The algorithms discussed in this paper have been validated thorough Model-in-the-Loop (MiL) tests as well as practical validation at a dedicated test bench.
Thematisch widmet sich das Projekt Coolplan- AIR der Fortentwicklung und Feldvalidierung eines Berechnungs- und Auslegungstools zur energieeffizienten Kühlung von Gebäuden mit luftgestützten Systemen. Neben dem Aufbau und der Weiterentwicklung von Simulationsmodellen erfolgen Vermessungen der Gesamtsysteme anhand von Praxisanlagen im Feld. Der Schwerpunkt des Projekts liegt auf der Vermessung, Simulation und Integration rein luftgestützter Kühltechnologien. Im Bereich der Kälteerzeugung wurden Luft‐ Luft‐ Wärmepumpen, Anlagen zur adiabaten Kühlung bzw. offene Kühltürme und VRF‐ Multisplit‐ Systeme (Variable Refrigerant Flow) im Feld bzw. auf dem Teststand der HSD vermessen. Die Komponentenmodelle werden in die Matlab/Simulink‐ Toolbox CARNOT integriert und anschließend auf Basis der zuvor erhaltenen Messdaten validiert.
Einerseits erlauben die Messungen das Betriebsverhalten von Anlagenkomponenten zu analysieren. Andererseits soll mit der Vermessung im Feld geprüft werden, inwieweit die Simulationsmodelle, welche im Vorgängerprojekt aus Prüfstandmessungen entwickelt wurden, auch für größere Geräteleistungen Gültigkeit besitzen. Die entwickelten und implementierten Systeme, bestehend aus verschiedensten Anlagenmodellen und Regelungskomponenten, werden geprüft und dahingehend qualifiziert, dass sie in Standard- Auslegungstools zuverlässig verwendet werden können.
Zusätzlich wird ein energetisches Monitoring eines Hörsaalgebäudes am Campus Jülich durchgeführt, das u. a. zur Validierung der Kühllastberechnungen in gängigen Simulationsmodelle genutzt werden kann.
Auslegung der CFK-Sandwich-Rumpfstruktur eines Hubschraubers mit der Methode der Finiten Elemente
(1994)
Close interrelations between sound and image are not a mere phenomenon of today’s multimedia technology. The idea of the synthesis of different media lies at the core of the concept of the Gesamtkunstwerk in the second half of the 19th century and it can also be traced back to the synaesthesia debate at the beginning of the 20th century [...].
Gossamer-1 is the first project of the three-step Gossamer roadmap, the purpose of which is to develop, prove and demonstrate that solar-sail technology is a safe and reliable propulsion technique for long-lasting and high-energy missions. This paper firstly presents the structural analysis performed on the sail to understand its elastic behavior. The results are then used in attitude and orbital simulations. The model considers the main forces and torques that a satellite experiences in low-Earth orbit coupled with the sail deformation. Doing the simulations for varying initial conditions in attitude and rotation rate, the results show initial states to avoid and maximum rotation rates reached for correct and faulty deployment of the sail. Lastly comparisons with the classic flat sail model are carried out to test the hypothesis that the elastic behavior does play a role in the attitude and orbital behavior of the sail