phy689 - Advanced Topics in Renewable Energies

phy689 - Advanced Topics in Renewable Energies

Institute of Physics 6 KP
Module components Semester courses Summer semester 2024 Examination
  • Unlimited access 5.04.1005 - CO2 - Energie und Gesellschaft - CO2 - energy and our society Show lecturers
    • Prof. Dr. Joachim Peinke

    Tuesday: 12:00 - 14:00, weekly (from 02/04/24)

    Our energy society has not only caused environmental effects and questions of the finiteness of resources but has become also an urgent political issue. In this seminar we want approach this subject from the perspective of physics/ natural science. The aim is to work out schemes of many public and political statements to achieve a more objective classification. An example is the new gas field in the North Sea close to the island of Borkum. How can we relate this to new wind farms? The seminar is also open for other ideas of the participants and it is a flow- up of a seminar in the winter term - there are no problems for new participants.

  • Unlimited access 5.04.4587 - Advanced CFD and wind turbine aerodynamics Show lecturers
    • Dr. Bernhard Stoevesandt

    Wednesday: 14:00 - 16:00, weekly (from 03/04/24)

    The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation

  • Unlimited access 5.04.4652 - Stochastic Processes in Experiments Show lecturers
    • Matthias Wächter

    Thursday: 12:00 - 14:00, weekly (from 04/04/24)

    Die Studierenden erwerben fortgeschrittene Kenntnisse auf dem Gebiet der nichtlinearen Dynamik experimenteller Systeme. Sie erlangen Fertigkeiten zum sicheren und selbstständigen Umgang mit modernen Konzepten und Methoden der Analyse von Messdaten komplexer Systeme. Sie erweitern ihre Kompetenzen hinsichtlich der Fähigkeiten zur erfolgreichen Bearbeitung anspruchsvoller Probleme mit modernen analytischen und numerischen Methoden, zur selbstständigen Erarbeitung aktueller Fachveröffentlichungen sowie der Bedeutung stochastischer Differentialgleichungen im Kontext unterschiedlicher Anwendungen. Inhalte: Theoretische Grundlagen stochastischer Differentialgleichungen und der Bestimmung ihrer Parameter. Darstellung verschiedener Beispiele für die Schätzung der Parameter stochastischer Differentialgleichungen aus experimentellen Daten unter Berücksichtigung der Besonderheiten der jeweils untersuchten experimentellen Systeme.

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The aim of this module is, to give students further access to also small courses (3 CP) which address the specific interest of the student and deliver unique in-depth knowledge or the opportunity to train specific engineering skills.