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The Ministry of Science and Research in North Rhine-Westphalia created eight platforms of excellence, one in the research area „Energy and Environment“ in 2002 at ACUAS. This platform concentrates the research and development of 13 professors in Jülich and Aachen and of two scientific institutes with different topics: – NOWUM-Energy with emphasis on efficient and economic energy conversion – The Solar Institute Jülich – SIJ – being the largest research institute in the field of renewables at a University of Applied Sciences in Germany With this platform each possible energy conversion – nuclear, fossil, renewable- can be dealt with to help solving the two most important problems of mankind, energy and potable water. At the CSE are presented the historical development, some research results and the combined master studies in „Energy Systems“ and „Nuclear Applications“
Using optimization to design a renewable energy system has become a computationally demanding task as the high temporal fluctuations of demand and supply arise within the considered time series. The aggregation of typical operation periods has become a popular method to reduce effort. These operation periods are modelled independently and cannot interact in most cases. Consequently, seasonal storage is not reproducible. This inability can lead to a significant error, especially for energy systems with a high share of fluctuating renewable energy. The previous paper, “Time series aggregation for energy system design: Modeling seasonal storage”, has developed a seasonal storage model to address this issue. Simultaneously, the paper “Optimal design of multi-energy systems with seasonal storage” has developed a different approach. This paper aims to review these models and extend the first model. The extension is a mathematical reformulation to decrease the number of variables and constraints. Furthermore, it aims to reduce the calculation time while achieving the same results.
Extrem hohe Blitzströme
(2017)
8. VDE/ABB-Blitzschutztagung, 29. - 30. Oktober 2009 in Neu-Ulm. Blitzschutztagung <8, 2009, Neu-Ulm> Berlin : VDE Verl. 2009 Großkraftwerke können durch Blitzentladungen mit potentiellen Auswirkungen auf deren Verfügbarkeit und Sicherheit gefährdet werden. Ein sehr spezielles Szenario, welches aus aktuellem Anlass zu untersuchen war, betrifft den kraftwerksnahen Blitzeinschlag in die Hochspannungs-Freileitung am Netzanschluss der Anlage. Wird nun noch ein sogenannter Schirmfehler unterstellt, d.h. der direkte Blitzeinschlag erfolgt in ein Leiterseil des Hoch- bzw. Höchstspannungsnetzes und nicht in das darüber gespannte Erdseil, so bedeutet dies eine extreme elektromagnetische Einwirkung. Der vorliegende Beitrag befasst sich mit der Simulation eines solchen Blitzeinschlages und dessen Auswirkungen auf den Netzanschluss und die Komponenten der elektrischen Eigenbedarfsanlagen eines Kraftwerks auf den unterlagerten Spannungsebenen. Die dabei gewonnenen Erkenntnisse lassen sich ohne Einschränkungen auf Industrieanlagen mit Mittelspannungs-Netzanschluss und ohne eigener Stromversorgung übertragen.
This paper describes the concept of an innovative, interdisciplinary, user-oriented earthquake warning and rapid response system coupled with a structural health monitoring system (SHM), capable to detect structural damages in real time. The novel system is based on interconnected decentralized seismic and structural health monitoring sensors. It is developed and will be exemplarily applied on critical infrastructures in Lower Rhine Region, in particular on a road bridge and within a chemical industrial facility. A communication network is responsible to exchange information between sensors and forward warnings and status reports about infrastructures’health condition to the concerned recipients (e.g., facility operators, local authorities). Safety measures such as emergency shutdowns are activated to mitigate structural damages and damage propagation. Local monitoring systems of the infrastructures are integrated in BIM models. The visualization of sensor data and the graphic representation of the detected damages provide spatial content to sensors data and serve as a useful and effective tool for the decision-making processes after an earthquake in the region under consideration.