Stud.IP Uni Oldenburg
University of Oldenburg
20.08.2022 00:27:25
pre064 - Renewable Energy Complementary Topics and Transferable Skills (Course overview)
Institute of Physics 6 KP
Module components Semester courses Sommersemester 2022 Examination
Lecture
  • Unlimited access 2.01.513 - Praktikum Energieinformatik Show lecturers
    • Dr. Jörg Bremer
    • Prof. Dr. Sebastian Lehnhoff

    Monday: 12:15 - 13:45, weekly (from 25/04/22), Location: A03 4-402
    Friday: 12:15 - 13:45, weekly (from 22/04/22), Location: A01 0-005
    Dates on Thursday. 28.07.22 10:00 - 12:00, Friday. 29.07.22, Thursday. 18.08.22 10:00 - 15:30, Location: ((online))

  • Unlimited access 5.04.4063 - Introduction to Photovoltaics Show lecturers
    • Dr. Levent Gütay
    • Dr. Devendra Pareek, Ph.D.

    Tuesday: 08:15 - 11:45, weekly (from 19/04/22), V+Ü, Location: W16A 004, W03 2-240, W16A 015/016
    Dates on Tuesday. 19.07.22 08:15 - 09:45, Location: W16A 015/016

    Auf Basis thermodynamischer und halbleiter/ festkörperphysikalischer Grundlagen sollen die Studierenden ein fundiertes Verständnis der photovoltaischen Energiewandlung sowie der elementaren Verlustprozesse in photovoltaischen Bauelementen erlangen und dabei ihre bisher erlangten Studienkenntnisse in den o.g. Disziplinen sicher anwenden. Aus diesem Wissen sollen die Studierenden wesentliche Randbedingungen zur Konzeption einer Solarzelle mit hohem Wirkungsgrad ableiten und qualitativ das Betriebsverhalten (Beleuchtungs- und Temperatureffekte) unter realen Bedingungen voraussagen können. Die Teilnehmer sollten darüber hinaus in der Lage sein, Anforderungen an die verwendeten Halbleitermaterialien (z.B. Dotierung, Tiefengradierung bestimmter Materialeigenschaften) und die internen Grenzflächen der Solarzelle physikalisch zu begründen. Neben grundlagenorientierten und materialwissenschaftlichen Kenntnissen zur Photovoltaik erwerben die Studierenden technisch geprägte Inhalte zum Funktionsprinzip und zur Konzeption von Photovoltaikmodulen sowie zur Systemtechnik photovoltaischer Anlagen. Inhalte: Festkörper- / halbleiterphysikalische Grundlagen, das solare Spektrum, Leistungsdichte, Absorption und Emission von Licht in Halbleitern, Generation und Rekombination, Gleichgewicht und Nichtgleichgewicht, Ladungstransport, Quasi-Fermi-Niveaus, Elektrostatik des pn-Übergangs, Majoritäten- und Minoritätenströme im pn-Übergang im Gleichgewicht und unter Beleuchtung, Sammeleffizienz, geometrische Auslegung des pn-Übergangs, Strom-Spannungs-Charakteristik, Halbleiter-Heterokontakte, pin-Strukturen, Strategien zur Optimierung der Solarzelleneffizienz, Technologieüberblick in der Photovoltaik

  • Unlimited access 5.04.4064 - Advanced Solar Energy Meteorology Show lecturers
    • Dr. Thomas Schmidt

    Tuesday: 14:15 - 15:45, weekly (from 19/04/22)

  • Unlimited access 5.04.4065 - Advanced Wind Energy Meteorology Show lecturers
    • Dr. Gerald Steinfeld, Dipl.-Met.

    Wednesday: 12:15 - 13:45, weekly (from 20/04/22)

  • Unlimited access 5.04.4071 - Fluid Dynamics II / Fluiddynamik II Show lecturers
    • Dr. rer. nat. Jan Friedrich

    Wednesday: 08:15 - 09:45, weekly (from 20/04/22)

    Das zentrale Thema dieser Vorlesung sind turbulente Strömungen. Es werden Aspekte der numerischen Modellierung als auch der statistischen Charakterisierung behandelt (Reynolds-Gleichung, Schließungsproblem und Schließungsansätze, Turbulenzmodelle: Kaskadenmodelle - Stochastische Modelle) Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German."

  • Unlimited access 5.04.4072 - Computational Fluid Dynamics I Show lecturers
    • Prof. Dr. Laura Lukassen

    Tuesday: 12:15 - 15:45, weekly (from 19/04/22)

    Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy

  • Unlimited access 5.04.4074 - Computational Fluid Dynamics II Show lecturers
    • Dr. Bernhard Stoevesandt

    Tuesday: 12:15 - 15:45, weekly (from 07/06/22)

    Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: RANS, URANS, LES, DNS, filtering / averaging of Navier- Stokes equations, Introduction to different CFD models, Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German."

  • Limited access 5.04.4234 - Wind Physics Measurement Project Show lecturers
    • Prof. Dr. Martin Kühn
    • Dr. Matthias Wächter, Dipl.-Phys.

    Monday: 12:15 - 13:45, weekly (from 25/04/22)

    Case study like problems based on real wind data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. Measure – Correlate – Predict (MCP): - averaging of wind data - bin-wise averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. LIDAR (Light detection and ranging): - analyses and conversion of data from LIDAR measurements

  • Unlimited access 5.04.4235 - Design of Wind Energy Systems Show lecturers
    • Prof. Dr. Martin Kühn

    Tuesday: 16:15 - 17:45, weekly (from 19/04/22), Location: W01 0-008 (Rechnerraum)
    Thursday: 12:15 - 13:45, weekly (from 21/04/22), Location: W33 0-003

    The students attending the course will have the possibility to expand and sharpen of their knowledge about wind turbine design from the basic courses. The lectures include topics covering the whole spectrum from early design phase to the operation of a wind turbine. Students will learn in exercises how to calculate and evaluate design aspects of wind energy converters. At the end of the lecture, they should be able to: + estimate the site specific energy yield, + calculate the aerodynamics of wind turbines using the blade element momentum theory, + model wind fields to obtain specific design situations for wind turbines, + estimate the influence of dynamics of a wind turbine, especially in the context of fatigue loads, + transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads, + assess economic aspects of wind turbines. Introduction to industrial wind turbine design, + rotor aerodynamics and Blade Element Momentum (BEM) theory, + dynamic loading and system dynamics, + wind field modelling for fatigue and extreme event loading, + design loads and design aspects of onshore wind turbines, + simulation and measurements of dynamic loads, + design of offshore wind turbines.

  • Unlimited access 5.04.4243 b - Python Programming in Energy Science Show lecturers
    • Dr. Jonas Schmidt
    • Dr. Lukas Vollmer
    • Dr. Hassan Kassem
    • Dr. Martin Dörenkämper

    Wednesday: 10:15 - 11:45, weekly (from 20/04/22)

    We teach you from scratch how the Python programming language works and how you can use it as a scientist. Basic knowledge about general programming concepts are expected (variables; data types such as integers, floats, strings; functions with and w/o return values; arrays; for and while loops). The course will be in English.

  • Unlimited access 5.06.M207 - Photovoltaic Systems Show lecturers
    • Hans-Gerhard Holtorf, PhD
    • Martin Knipper

    Thursday: 14:15 - 15:45, weekly (from 21/04/22)

  • Unlimited access 5.06.M211 - Solar Energy Meteorology Applications Show lecturers
    • Dr. Jorge Enrique Lezaca Galeano

    Tuesday: 16:15 - 17:45, weekly (from 19/04/22)

    Lecturer from Fraunhofer Institute for Solar Energy Systems (ISE) The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. The students will learn about: • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with short exercises. In the last - seminar type - part of the course the students are asked to get a better understanding of lessons learnt by studying and presenting publications related to solar energy meteorology.

  • Unlimited access 5.06.M213 - Wind Energy Applications - from Wind Resource to Wind Farm Applications Show lecturers
    • Dr. Hans-Peter Waldl

    Friday: 08:15 - 09:45, weekly (from 22/04/22), Location: W16A 015/016
    Dates on Friday. 15.07.22, Friday. 22.07.22 10:30 - 12:00, Location: W04 1-171

    The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production

  • Unlimited access 5.06.M215 - Future Power Supply (Lecture) Show lecturers
    • Prof. Dr. Carsten Agert
    • Babak Ravanbach

    Monday: 14:15 - 15:45, weekly (from 25/04/22)

Seminar
  • Unlimited access 2.01.511 - Smart Grid Management Show lecturers
    • Dr. Jörg Bremer
    • Prof. Dr. Sebastian Lehnhoff
    • M. Sc. Frauke Oest

    Tuesday: 18:15 - 19:45, weekly (from 19/04/22)
    Thursday: 16:15 - 17:45, weekly (from 05/05/22)
    Dates on Tuesday. 09.08.22 14:00 - 18:00, Wednesday. 10.08.22 15:00 - 18:00, Friday. 12.08.22 12:30 - 14:30, Monday. 15.08.22 - Tuesday. 16.08.22 10:00 - 17:00, Monday. 19.09.22 16:00 - 18:30

    Beachten Sie bitte die Informationen der Veranstaltung im Stud.IP

  • Unlimited access 2.02.915 - Introduction to Social- ecological Resilience Show lecturers
    • Prof. Dr. Stefanie Sievers-Glotzbach
    • Dr. Hendrik Wolter
    • Prof. Dr. Bernd Siebenhüner

    Dates on Friday. 22.04.22 12:15 - 13:45, Friday. 29.04.22, Friday. 20.05.22, Friday. 17.06.22 12:15 - 15:45, Friday. 08.07.22 12:15 - 13:45, Friday. 15.07.22 09:15 - 15:45, Location: A13 0-027, A07 0-030 (Hörsaal G), V03 0-M018 (+2 more)
  • Unlimited access 2.12.042 - Ecological Economics Show lecturers
    • Prof. Dr. Bernd Siebenhüner
    • Prof. Dr. Stefanie Sievers-Glotzbach

    Dates on Friday. 22.04.22, Friday. 06.05.22, Friday. 13.05.22 12:15 - 13:45, Friday. 24.06.22, Friday. 01.07.22 12:15 - 15:45, Location: A01 0-006, A13 0-027, V04 0-033 (+1 more)
    Ecological Economics is concerned with integrating the study and management of "nature's household" (ecology) and "humankind's household" (economics). This integration is central to many of humanity’s current problems and to governing economic activity in a way that promotes human well-being, sustainability, and justice. The aim of the module “Ecological Economics” is to introduce students to core concepts and policy implications from the field of Ecological Economics. The module is structured into three parts. First, students will be introduced to the topic by two lectures on the specific vision and paradigms of Ecological Economics as distinguished from environmental & resource economics and on the history of Ecological Economics. Second, the students work out and discuss the core analytical concepts (ecological footprint, ecosystem services, social-ecological resilience, substitutability of natural capital, time) as well as the core normative concepts (justice, human behaviour) in Ecological Economics. Third, the students will discuss and reflect certain policy implications following from Ecological Economics – specifically the economics of degrowth and the measurement of welfare. The basis for discussion will be classical and current scientific papers.

  • Unlimited access 2.12.133 - International Environmental Governance Show lecturers
    • Prof. Dr. Bernd Siebenhüner

    Monday: 12:15 - 13:45, weekly (from 25/04/22)
    Dates on Monday. 20.06.22 10:00 - 17:30

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

    Wednesday: 14:15 - 15:45, weekly (from 20/04/22)

    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 5.06.M209 - Photovoltaic Systems Show lecturers
    • Hans-Gerhard Holtorf, PhD
    • Martin Knipper

    Thursday: 16:15 - 17:45, weekly (from 21/04/22)

  • Limited access 5.06.M216 - Future Power Supply (Seminar) Show lecturers
    • Prof. Dr. Carsten Agert
    • Babak Ravanbach

    Tuesday: 16:15 - 17:45, weekly (from 19/04/22)

Exercises
Notes for the module
Module examination

 

Skills to be acquired in this module

After completing the module students will be able to:

·         describe basic knowledge in two of a wide field of disciplines (technical, scientific, social,
          political, transferrable, language) as required for the implementation of renewable energy

·         critically discuss basic principles of the implementation of renewable energy

-        justify their personal decision on educational fields for their career development