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Automation devices or automation stations (AS) take on the task of controlling, regulating, monitoring and, if necessary, optimising building systems and their system components (e.g. pumps, compressors, fans) based on recorded process variables. For this purpose, a wide range of control and regulation methods are used, starting with simple on/off controllers, through classic PID controllers, to higher-order controllers such as adaptive, model-predictive, knowledge-based or adaptive controllers.
Starting with a brief introduction to automation technology (Sect. 7.1), the chapter goes into the structure and functionality of the usual compact controllers using the application examples of solar thermal systems and heat pump systems (Sect. 7.2). Finally, the integration of system automation into a higher-level building automation system and into the building management system is described using specific application examples (Sect. 7.3).
The use of renewable energy sources for heating and cooling in buildings today offers the best opportunities to avoid the use of fossil fuels and the associated climate-damaging emissions. However, unlike fossil fuels, renewable energy sources such as solar radiation are not available at the push of a button, but occur uncontrollably depending on weather conditions, the location of the building and the time of year. Their use is free of charge. However, complex converters and systems usually have to be installed in order to use them. These must be carefully planned and operated in order to avoid unnecessary costs and to generate the maximum possible yield. The regenerative energy systems are usually integrated into existing conventional systems. When designing the control and regulation equipment, it is crucial to design the automation of the systems in such a way that primarily renewable energy sources are used and the share of fossil energy sources is minimized.
This central book chapter now details the implementation of automation of solar domestic hot water systems, solar assisted building heating, rooms, solar cooling systems, heat pump heating systems, geothermal systems and thermally activated building component systems. Hydraulic and automation diagrams are used to explain how the automation of these systems works. A detailed insight into the engineering and technical interrelationships involved in the use of these systems, as well as the use of simulation tools, enables effective control and regulation. System characteristic curves and systematic procedures support the automation engineer in his tasks.
Renewable energy sources such as solar radiation, geothermal heat and ambient heat are available for energy conversion. With the help of special converters, these resources can be put to use. These include solar collectors, geothermal probes and chillers. They collect the energy and convert it to a temperature level high enough to be suitable for heat purposes. In the case of refrigeration machines, a distinction is made between electrically and thermally driven machines.
The main focus of this chapter is the theoretical and instrumental processes that underpin densitometric methods widely used in thin-layer chromatography (TLC). Densitometric methods include UV–vis, luminescence, and fluorescence optical measurements as well as infrared and Raman spectroscopic measurements. The chapter is divided in two general parts: a theoretical part and a practical part. The systems for direct radioactivity measurements and the combination of TLC with mass spectrometry are also discussed. All these systems allow measuring an intensity distribution directly on a TLC plate. We call this “in situ detection” because no analyte is removed from the plate.
Unter fossilen Energieträgern verstehen sich energie- und kohlenstoffhaltige Stoffe, die in mehreren Millionen Jahren aus Biomassen unter dafür günstigen Bedingungen (Sauerstoffausschluss) gebildet wurden. Das geologische Alter von Steinkohle beträgt über 250 Millionen Jahre, das von Braunkohle ca. 50 Millionen. Derzeit werden deutlich mehr fossile Energieträger verbraucht als nachgebildet. Während in Deutschland die Stilllegung von Dampfkraftwerken, die mit Steinkohle befeuert werden, begonnen hat, steigt global der Verbrauch dieser Brennstoffe weiterhin an. Die Steinkohleförderung erreichte im Jahr 2019 weltweit den Wert von 7,3 Milliarden Tonnen, mit einer Steigerung von immerhin fast 3 % gegenüber dem Vorjahr 2018 nach [1]. Dieser Anstieg erfolgte hauptsächlich in China und Indonesien – in Deutschland ging der Kohleverbrauch in diesem Zeitraum zurück.
In this work, time-independent and time-dependent plasticity models are presented that are well suited for the calculation of stresses and strains with the finite-element method to assess the low-cycle and thermomechanical fatigue life of engineering components. The focus are plasticity models that are available in finite-element programs nowadays as standard material models and describe isotropic and kinematic hardening, strain-rate dependency as well as static recovery of hardening. For the presented models, aspects relevant for the application of the models are addressed as the determination of the material properties and the numerical implementation. Nevertheless, the plasticity models are also embedded in the thermodynamic framework used for the derivation of thermodynamically consistent plasticity models. Only uniaxial formulations are used to achieve a good readability and preventing the use of tensors.
Konzeption und Evaluierung eines Trainings-Windkanals für den spezifischen Einsatz im Skisprung
(2022)
Rehabilitationsmaßnahmen nach Unfällen oder Krankheiten sind oft langwierig und häufig mit Schmerzen sowie Frustration verbunden – und Ähnliches gilt für Präventionstraining. Die spielerische Anreicherung des Trainings (im Folgenden: Gamification) kann dieser Entwicklung durch die Steigerung des Spaßfaktors entgegenwirken. Im Gegensatz zu regulären Spielen kann es durch die höhere Motivation und Immersion im Training allerdings zu einer verminderten Schmerzwahrnehmung und damit einer Verschlechterung des Gesundheitszustands bis hin zu einer erneuten Verletzung kommen. Daher war es bislang erforderlich, solche Ansätze kontinuierlich therapeutisch zu begleiten. Für eine autonome Intervention, zur Entlastung von Therapeuten, aber auch im Heimbereich ist eine automatisierte Anpassung des Schwierigkeitsgrads des Bewegungstrainings und eine individualisierte Zielsetzung und -kontrolle von zentraler Bedeutung. Diese Herausforderung ist in bestehenden Ansätzen zu wenig adressiert bzw. beschrieben worden. Der Einsatz künstlicher Intelligenz kann hier einen entscheidenden Beitrag zu leisten – insbesondere hybride Ansätze, die expertenbasierte Entscheidungsbäume mit Verfahren des maschinellen Lernens kombinieren, könnten in der Zukunft einen wichtigen Beitrag zu einer erfolgreichen Rehabilitation und Prävention liefern.