Present Challenges in REEE

Overview

Compentency: Combinations of elective modules for focusing on different aspects and challenges in renewable energies and energy efficiency (REEE)


Module type: elective module


Semester: summer & winter


Site: Kassel


Language: English


Workload: 450 hours course attendance; 300 hours self-study


Credits points: 30


Recommended qualifications: none

Courses

Learning Outcome

After the successful participation in the module Present Challenges in REEE being chosen as combinations of some elective modules, the students are able to learn and understand different challenges and aspects related to REEE e.g.,

  • develop and understand geothermal resources and applications
  • understand different applications and technologies of CCHP
  • analyze energy storage technologies and EE measures for RE systems
  • analysis and synthesis of integration processes of RE systems
  • understand the fundamentals of project management and implement project management skills regarding REEE projects
  • define project scheduling and gain professional and practical skills for project planning
  • learn about legislation, contracts and engineering Ethics
  • analyze the project management work flow for a wind farm
  • assess opportunities of efficiency in the energy sector
  • understand the importance of renewable energies with regards to environmental and economic impact of energy industry and assessing potential alternatives
  • implement energy management systems, energy transition and sustainable development
  • deal with constrained and unconstrained general energy optimization problem
  • implement and compare different linear and non-linear optimization techniques
  • identify opportunities for practical implementation of RE system
  • learn how to select solar energy systems according to specific local conditions
  • understand and implement different electromagnetic modelling of AC actuators
  • analyze, design and size storage systems, non-conventional AC machines and the oriented machine modelling using the finite element method
  • implement and control power electronic converter and learn how to design and analyze embedded generating systems
  • design of experiments and measuring techniques
  • describe different forecasting, inventory and regression techniques used for REEE

Content

  • 30 ECTS modules chosen from RUN course catalog and/or from the elective modules offered by CU, UM and/or UKAS

Details

  • Lecturer: Dahlhaus and team
  • Teaching method: lecture; exercise; lab training; seminar, project
  • SWS: 30
  • Credit points: 30
  • Examination: group presentations; lab training; assignments; written exam