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Institute
- Fakultät für Angewandte Natur- und Geisteswissenschaften (236) (remove)
An der TH Rosenheim sind die Lehrenden der Physikgrundlagen für alle technischen Studiengänge in einer Fakultät beheimatet. Das erleichtert und befördert den Austausch nicht nur fachlicher Themen sondern auch didaktischer Fragestellungen. Das zunehmend heterogene Vorwissen der Studierenden sowie die Unzufriedenheit mit studentischen Prüfungsleistungen und eher passiver Unterrichtsbeteiligung gaben den Ausschlag, die Didaktik in den Blick zu nehmen um die Wirksamkeit der Lehre zu erhöhen. Das „Scholarship of Teaching and Learning“ gibt Auskunft darüber, ob das Ergebnis den Aufwand rechtfertigt. Der FCI-Konzepttest zeigt eindeutig die Wirksamkeit der verwendeten aktivierenden Lehrmethoden JiTT und PI. Die Prüfungsergebnisse erweisen sich nicht in gleichem Maße für eine quantitative Analyse als geeignet. Die Auswertung der Daten in Bezug auf Teilnahmeverhalten und Bestehensraten legt den Schluss nahe, dass bei Anwendung studierendenzentrierter und aktivierender Lehrmethoden signifikant mehr Studierende zu einem früheren Zeitpunkt die Klausur erfolgreich ablegen.
Der Gesamtenergiedurchlassgrad (g-Wert) verschiedener teiltransparenter,
gebäudeintegrierbarer Photovoltaik-Module wurde
mit und ohne Entnahme elektrischer Leistung kalorimetrisch gemessen.
Durch die Leistungsentnahme sinkt die Oberflächentemperatur
des Moduls um bis zu 4 K. Gleichzeitig reduziert sich der
g-Wert aufgrund der geringeren sekundären Wärmeabgabe. Die
Größe der Abnahme hängt von der entnommenen Leistung ab
und stimmt sehr gut mit einem einfachen, auf dem Energiesatz
basierenden Rechenmodell überein.
We report on an investigation of student thinking about steady-state pipe flow of an incompressible fluid. About 250 undergraduate engineering students were given a test consisting of two hydrodynamics questions, combining multiple-choice format with subsequent open-ended explanations. There is substantial evidence that students have difficulty applying and prioritizing the two basic principles of mass conservation (expressed in the continuity equation) and energy conservation (i.e., Bernoulli’s equation). When faced with questions that involve gravity, dissipative effects (“friction”), or a visible pressure drop, a considerable number of students did not invoke the continuity equation in situations where applying it is a necessary step for arriving at the correct answer. Instead, even after lecture instruction on this topic, many of the first-year students based their answers on ill-supported assumptions about local pressures. Some of them used formal arguments from a simplified Bernoulli equation (“lower pressure means higher velocity”), while others based their answer on intuitive arguments (“higher pressure leads to higher velocity”). We also found reasoning based on analogies to single-particle motion (“flow velocity decreases when flowing upwards or friction is present”). Contrary to other researchers, we did not see any evidence for the hypothesis that students think of water as a compressible fluid. Instead, students’ answers often indicate a lack of understanding of the conservation of mass or its implications for incompressible fluids or of the role that this principle plays in the context of fluid flow. In addition, our data indicate that some students have more general difficulties in describing and reasoning about technical situations, such as applying equations containing multiple variables, distinguishing spatial differences in a quantity from its changes with respect to time, or realizing the meaning of idealizations. We also present some evidence that different levels of activation of students during instruction influence the prevalence of these difficulties and discuss some implications for instruction.
Als fairer Beitrag Deutschlands zur Einhaltung der globalen 1,5-Grad-Grenze werden 16 Orientierungspunkte für eine klimaverträgliche Energieversorgung vorgestellt. Es wird davon ausgegangen, dass hierfür die deutschen energiebedingten CO2-Emissionen in etwa 15 Jahren weitgehend auf Null sinken müssen. Energieeinsparung hilft, den notwendigen Ausbau von regenerativen Erzeugungskapazitäten zu verringern. Der Verkehrssektor kann ebenso wie die Bereiche Prozess- und Gebäudewärme hierzu wesentlich beitragen. Die Kernenergie ist mit großen Risiken belastet und kann nicht hinreichend schnell aufgebaut werden. Biomasse in Form von Energiepflanzen zu nutzen, ist ineffizient und steht im Konflikt mit anderen Arten der Landnutzung. Importe klimaneutral erzeugter Energieträger in sehr großem Umfang erfordern extrem große Investitionen im Ausland. Sie sind eine ungesicherte Option auf die Zukunft.
Entscheidend ist daher der ausreichend schnelle Ausbau von Photovoltaik (PV) und Windkraft in Deutschland. Schätzungsweise kann der Elektrizitätsbedarf im Jahr 2030 z. B. durch den Ausbau auf ca. 350 GW PV und ca. 150 GW Windkraft nahezu vollständig regenerativ gedeckt werden. Damit ließe sich eine zum großen Teil elektrifizierte Mobilität und Wärmeversorgung betreiben und ein Teil des benötigten „grünen“ Wasserstoffs in Deutschland bereitstellen. Hierfür ist ein jährlicher Zubau von durchschnittlich ca. 30 GW PV und ca. 9 GW Windkraft nötig. Dies ist ca. sechs- (PV) bzw. dreimal (Wind) so hoch wie bisher vorgesehen und verlangt eine gesellschaftliche Kraftanstrengung. Ein weiter verzögerter Ausbau müsste mit noch deutlich größeren gesellschaftlichen Anstrengungen für drastische Energieeinsparungen oder Importe erneuerbarer Energie ausgeglichen werden. Insgesamt könnte dies noch deutlich schwieriger zu realisieren sein, als ein ambitionierter Ausbau. Da der Aufbau der Kapazitäten mehrere Jahre erfordert, ist es möglich nachzusteuern, z. B. wenn erkennbar wird, dass sich ein ausreichend großer globaler Markt für Importe entwickelt. Bis dahin ist es aus Verantwortung gegenüber der Zukunft und im Sinne des Pariser Vertrages empfehlenswert, die hier genannten Ausbauziele zu verfolgen.
Grüner, also aus erneuerbaren Energien hergestellter Wasserstoff und daraus abgeleitete Syntheseprodukte sind für die Dekarbonisierung von Industrieprozessen, den Flug- und Schiffsverkehr sowie für die Absicherung der Energieversorgung bei Dunkelflauten nötig. Ohne die genannten Ausbauziele für Wind und Solar noch drastisch weiter zu erhöhen, stehen diese Produkte für Straßenverkehr und Wärmeversorgung jedoch nicht in ausreichenden Mengen zur Verfügung. Techniken zum Ausgleich zwischen Elektrizitätsangebot und -nachfrage sind verfügbar und sollten rechtzeitig auf- bzw. ausgebaut werden. Hierzu gehören: Stromaustausch mit den Nachbarländern, Flexibilisierung des Verbrauchs und Energiespeicherung. Für deren Integration sowie den Ausbau der Netze sollten zügig verbesserte rechtliche Rahmenbedingungen geschaffen werden.
Die Kosten eines klimaverträglichen Energiesystems sind mittel- bis langfristig nicht höher als im derzeitigen System. Gleichzeitig entstehen Arbeitsplätze und Exportchancen durch Aufbau, Betrieb und Wartung einer regenerativen Energieversorgung in Deutschland und die energetische Gebäudesanierung. Die politischen Rahmenbedingungen entscheiden, ob eine klimaverträgliche Energieversorgung Deutschlands gelingt.
Knowing about the presence and number of people in a room can be of interest for precise control of heating, ventilation and air conditioning. To determine the number and presence of occupants cost-effectively, it is of interest to use already existing air condition sensors (temperature, humidity, CO2) of the building automation system. Different approaches and methods for determining presence have attracted attention in recent years. We propose an occupancy detection method based on a method of supervised machine learning. In an experiment, measurement data were recorded in a research apartment with controllable boundary conditions. The presence of people was simulated by artificial injection of water vapour, CO2 and heat dissipation. The variation of the number of artificial users, the duration of presence and the supply air volume flow of the ventilation resulted in a total of 720 combinations. By using artificial users, the boundary conditions were accurately defined, and different presence situations could be measured time-effectively. The data is evaluated with a method of supervised machine learning called random forest. The statistical model can determine precisely the number of people in over 93% of the cases in a disjoint test sample. The experiments took part in the Rosenheim Technical University of Applied Sciences laboratory.
The energy efficiency of the building HVAC systems can be improved when faults in the running system are known. To this day, there are no cost-efficient, automatic methods that detect faults of the building HVAC systems to a satisfactory degree. This study induces a new method for fault detection that can replace a graphical, user-subjective evaluation of a building data measured on site with an automatic, data-based approach. This method can be a step towards cost-effective monitoring. For this research, the data from a detailed simulation of a residential case study house was used to compare a faultless operation of a building with a faulty operation. We argue that one can detect faults by analysing the properties of residuals of the prediction to the actual data. A machine learning model and an ARX model predict the building operation, and the method employs various statistical tests such as the Sign Test, the Turning Point Test, the Box-Pierce Test and the Bartels-Rank Test. The results show that the amount of data, the type and density of system faults significantly affect the accuracy of the prediction of faults. It became apparent that the challenge is to find a decision rule for the best combination of statistical tests on residuals to predict a fault.
Faults in Heating, Ventilation and Air Conditioning (HVAC) systems affect the energy efficiency of buildings. To date, there rarely exist methods to detect and diagnose faults during the operation of buildings that are both cost-effective and sufficient accurate. This study presents a method that uses artificial intelligence to automate the detection of faults in HVAC systems. The automated fault detection is based on a residual analysis of the predicted total heating power and the actual total heating power using an algorithm that aims to find an optimal decision rule for the determination of faults. The data for this study was provided by a detailed simulation of a residential case study house. A machine learning model and an ARX model predict the building operation. The model for fault detection is trained on a fault-free data set and then tested with a faulty operation. The algorithm for an optimal decision rule uses various statistical tests of residual properties such as the Sign Test, the Turning Point Test, the Box-Pierce Test and the Bartels-Rank Test. The results show that it is possible to predict faults for both known faults and unknown faults. The challenge is to find the optimal algorithm to determine the best decision rules. In the outlook of this study, further methods are presented that aim to solve this challenge.
In the project, domestic ventilation concepts with PushPull-Fans were investigated. These ventilation units are characterized by a periodically changing supply and exhaust air operation. To ensure balanced operation, these ventilation units are always used in pairs, with one unit being in the exhaust air mode and the other in supply air mode. Measurements were made in a research apartment. The results were used to validate a CFD simulation model for transient studies. A room-by-room layout with two units in one room and a cross-room ventilation layout with two connected units in two rooms were analysed. The age of air was used as the evaluation parameter. With the room-by-room ventilation layout a lower age of air in the bedroom compared to the cross-room layout was obtained. However, in the room-by-room layout, the air flow through the larger living room with connected corridor was poorer in the rear area. With the cross-room layout, the flow through the rooms was more uniform. With the cross-room layout, the average age of air in the apartment could be slightly reduced compared to the room-by-room layout.
In dieser Arbeit wurden unterschiedliche Regler für Wohnraumlüftungsanlagen untersucht. Als Bewertungsgrößen wurden die Lüftungswärmeverluste und die kumulierte Grenzwertüberschreitung für CO2 und relative Luftfeuchte verwendet. Dafür wurde in Matlab/Simulink ein Multizonen-Simulationsmodell erstellt. Untersucht wurde ein zentrales, ein dezentrales alternierendes (Pendellüftung) sowie ein nichtalternierendes (Einzelraumlüftung) Lüftungssystem. Jedes der Lüftungssysteme wurde mit konstantem Volumenstrom, einem PI- und einem Fuzzy-Regler (Ausnahme: Pendellüftung) simuliert. Gegenüber einem Lüftungssystem mit konstantem Volumenstrom, kann durch Regelung bei mindestens gleicher Luftqualität der Lüftungswärmeverlust um mindestens ein Drittel reduziert werden.
In this study, an experimental apparatus is used to excite four U-tube-shaped liquid pistons connected in series, and to study their behaviour. Some of the gas spaces are heated to induce piston oscillations; in others, gas expansion is utilised to produce a refrigeration effect. It was discovered that the liquid piston surface would become unstable and turbulent at relatively low gas charge pressures (2 bar–3 bar). Cylindrical polyethylene floats were employed at each piston surface in order to reduce the area of the free surface of each piston and allow experiments to be conducted over a wide range of operating conditions. Experiments were carried out using gas charge pressures in the range of 1 bar–6 bar. The resulting liquid piston oscillations were measured and analysed to assess the impact of any developing piston instability. Evidence of a liquid piston acceleration limit, likely resulting from the Rayleigh-Taylor instability phenomenon, is consistently observed during the experiments. The use of submerged polyethylene piston floats is found to increase the surface stability and enable maximum accelerations of 25 ms−2 to 30 ms−2.
In March 2019, German-speaking scientists and scholars calling themselves Scientists for Future, published a statement in support of the youth protesters in Germany, Austria, and Switzerland (Fridays for Future, Klimastreik/Climate Strike), verifying the scientific evidence that the youth protestors refer to. In this article, they provide the full text of the statement, including the list of supporting facts (in both English and German) as well as an analysis of the results and impacts of the statement. Furthermore, they reflect on the challenges for scientists and scholars who feel a dual responsibility: on the one hand, to remain independent and politically neutral, and, on the other hand, to inform and warn societies of the dangers that lie ahead.
The objective of this research project is to develop a solar-powered refrigerator in the lower capacity range of up to 5 kW of cooling power. With the use of liquid pistons and one of the most efficient thermodynamic cycles known, the Stirling cycle, this product has the potential to outperform rival solar cooling technologies while providing inexpensive, reliable, quiet, environmentally-friendly, and efficient solar cooling for residential use, due to its straightforward manufacturing, simple design and inert working gas. Presented in this paper are the newest results of the theoretical and experimental investigation into deducing the key design parameters and system configuration of the so-called Liquid Piston Stirling Cooler (LPSC), which will help lead to optimal performance. Computer models of the complex unconstrained system have been constructed and validated using the modelling software Sage and shown to replicate system behavior with reasonable accuracy in experiments. The models have been used to predict system improvements and identify limitations imposed by the use of liquid pistons. The results to date provide a unique insight into a relatively little studied area in Stirling cycle research.
This paper concerns the development and validation of Finite Element Methods (FEM) to simulate the dynamic response of a dowelled-joist timber floor. This is a solid floor comprised of timber joists connected using timber dowels with individual assemblies connected using inclined metal screws. The focus is on the structural dynamics in the low-frequency range up to 200 Hz which is the relevant range for impact sound insulation and vibration serviceability. Dowel connections between the joists that formed each assembly were modelled using either rigid or spring connectors in the FEM models. The validation against experimental modal analysis showed that both approaches were valid in terms of the eigenfrequencies, Modal Assurance Criterion (MAC) and the spatial-average velocity with point excitation. Whilst the FEM model with spring connectors had a higher number of correlated modes in the MAC analysis, this required removal of many spurious modes before predicting the response. The validated models were used to demonstrate the potential in predicting assessment parameters for vibration serviceability that are contained in EN 1995-1-1 (Eurocode 5). This predictive approach to the evaluation of vibration serviceability has the advantage in that it can be used for non-standard timber floors with non-standard boundary conditions or floor plans.
Background
Joint contractures in frail older people are associated with serious restrictions in participation. We developed the Participation Enabling CAre in Nursing (PECAN) intervention, a complex intervention to enable nurses to promote participation in nursing home residents with joint contractures. The aim of this study was to examine the feasibility of the implementation strategy and to identify enablers and barriers for a successful implementation.
Methods
The implementation of PECAN was investigated in a 6-month pilot cluster-randomised controlled trial (c-RCT). As a key component of the implementation strategy, nominated nurses were trained as facilitators in a one-day workshop and supported by peer-mentoring (visit, telephone counselling). A mixed-methods approach was conducted in conjunction with the pilot trial and guided by a framework for process evaluations of c-RCTs. Data were collected using standardised questionnaires (nursing staff), documentation forms, problem-centred qualitative interviews (facilitators, therapists, social workers, relatives, peer-mentors), and a group discussion (facilitators). A set of predefined criteria on the nursing home level was examined. Quantitative data were analysed using descriptive statistics. Qualitative data were analysed using directed content analysis.
Results
Seven nursing homes (n = 4 intervention groups, n = 3 control groups) in two regions of Germany took part in the study. Facilitators responded well to the qualification measures (workshop participation: 14/14; workshop rating: “good”; peer-mentor visit participation: 10/14). The usage of peer-mentoring via telephone varied (one to seven contacts per nursing home). Our implementation strategy was not successful in connection with supplying the intervention to all the nurses. The clear commitment of the entire nursing home and the respect for the expertise of different healthcare professionals were emphasised as enablers, whereas a lack of impact on organisational conditions and routines and a lack of time and staff competence were mentioned as barriers.
Conclusion
The PECAN intervention was delivered as planned to the facilitators but was unable to produce comprehensive changes in the nursing homes and subsequently for the residents. Strategies to systematically include the management and the nursing team from the beginning are needed to support the facilitators during implementation in the main trial.
Trial registration
German clinical trials register, DRKS00010037. Registered 12 February 2016.
Outdoor or just on site analyzes of photovoltaic modules can offer some advantages in comparison to indoor Lab stud-ies. In this way the electrical performance is monitored and logged under natural operating conditions in full range of irradiation and temperature. The entirety of monitored IV data allows deriving low-light characteristics of electric parameters, temperature coefficients and root cause analysis for possible degradation. We apply so-called self-reference algorithm in order to increase the accuracy of analysis. The improved precision is due to application of effective acting irradiation and effective temperature instead of externally measured data. Effective irradiation is determined in self-referencing scheme: the short circuit current of the module is assigned to the irradiation.
Ziel des Projektes ist es, ein Verfahren für elektrische Vorort-Leistungsanalysen von Photovoltaik (PV)-Anlagen zu entwickeln. Dazu werden die elektrischen Parameter von PV-Strings lokal und global mit Hilfe eines neuen Feldlaboransatzes mit Indoor-Laborgenauigkeit vermessen. Das neue Messverfahren ist normgerecht und wird helfen, die Standardisierung von Feldmessungen weiterzuentwickeln. Im Projekt werden bekannte Messmethoden der Photovoltaik, (IR-Thermografie, I-U-String-Messung, digitale Datenverarbeitung mittels Selbstreferenzierung) zu einem innovativen Gesamtkonzept synthetisch zusammengeführt. Die Entwicklung des Messverfahrens wird an speziell gealterten PV-Anlagen marktbestimmender Technologien (c-Si-, CdTe-, CIGS-Muster-PV-Anlagen) vorangetrieben. So wird das Verfahren auf Erkennung spezifischer Degradationsszenarien und marginaler quantitativer Parameterveränderungen trainiert und geschärft
Outdoor performance analyses of photovoltaic modules can be advantageous compared to indoor investigations, as they take into account the influences of natural test conditions on the modules. However, such outdoor performance assessments usually suffer from poor accuracies due to undefined test conditions for the modules. This paper reports on a comprehensive concept for improved outdoor analysis which results in performance data with indoor laboratory precision. The approach delivers current-voltage characteristics for even more test conditions than required by the standard IEC 61853-1. Hence, curves of modules’ electrical parameters above irradiance can be deduced for any temperatures. The concept allows precise determination of temperature coefficients for user-defined irradiances taking into account outdoor effects like light-soaking or light-induced degradation. The calibration and measurement uncertainty of the presented outdoor analysis method is evaluated quantitatively. For the measurements an advanced outdoor set-up was used.
Freifeldcharakterisierung von PV-Anlagen im Rahmen des Projektes PV- FeldLab -ein Statusbericht-
(2020)
Das Projekt PV-FeldLab verfolgt das Ziel, ein umfassendes Konzept für eine messtechnisch sehr präzise elektrische Freifeld-Charakterisierung von PV-Generatoren zu entwickeln. Es beinhaltet eine optische Untersuchung mittels drohnengestützter Thermografie und eine genaue elektrische Charakterisierung von PV-Anlagen im Freifeld, auch bei räumlicher Inhomogenität von Bestrahlungsstärke, Temperatur und bei variablen Aufbauwinkeln von Modulen im Strang. Die Verknüpfung der elektrischen und optischen Messdaten erlaubt eine effiziente Untersuchung von PV-Anlagen und ermöglicht eine Präzisierung von Ertragsanalysen. Dieser Bericht beschreibt den ersten Projektabschnitt, in welchem der Fokus vor allem auf der Initialisierung der messtechnischen Komponenten, sowie ersten Messungen und Analysen liegt.
A quantitative physical model for potential induced degradation of the shunting type (PID-s) in solar modules is introduced. Based on a drift and diffusion approach for sodium ions and atoms, it gives insight into the kinetics of degradation and the corresponding regeneration. A simple drift/source term is used to describe the time-dependent flux of Na-ions towards stacking faults at the surface of the solar cell. The assumed transport mechanism for Na+ ions through the SiN-layer uses the modified Stern-Eyring rate theory but our approach can also be adapted to other mechanisms. Several PID-s and regeneration curves of one-cell solar modules at T = 49°C and T = 90°C with 1000V potential difference between modul frame and cell were measured and least-square fits of the in-situ measured parallel resistance Rsh to the model were performed giving very good accordance.
Based on a few measurements, the model can predict PID-s and regeneration characteristics of solar modules under different conditions.
Effiziente Lüftungssysteme zur Sicherstellung guter Luftqualität sind für energieeffiziente Gebäude essentiell. Ein Hemmnis für den Einsatz stellen insbesondere in der Sanierung die nach wie vor hohen Kosten dar. In mehreren Projekten [Schiantarelli 2015] [Sibille et al. 2013] wurde bisher versucht, vereinfachte Systeme zu entwickeln [Sibille, Pfluger 2016] [Huber 2013]. In diesem Forschungsprojekt wurde die Idee einer technisch einfachen und möglichst kanalfreien Belüftungsmöglichkeit mithilfe von aktiven Überströmern untersucht. Dabei wird die Zuluft nur zentral in der Mischzone der Wohnung (Flur, offenes Wohnzimmer) eingebracht. Die Abluft wird konventionell erfasst. Dadurch kann auf ein Zuluftkanalnetz verzichtet werden. Der aktive Überströmer ist dabei in die Zwischenwand bzw. im Türsturz des Anforderungsraumes (z.B. Schlafzimmer) eingebaut. Er besteht aus einem Axiallüfter mit einem Durchmesser von 120 mm, der (bei geschlossener Tür) die Luft aus der Mischzone in das angrenzende Schlafzimmer fördert.