Energy Management under Dynamic Grid Restrictions

Bachelor thesis, Thesis

Research focus: Energy, Energy Management
Courses of study: Information Management, Business Informatics, Industrial Engineering and Management

Job Description

The main task of a building energy management system (BEMS) is the optimal control of energy generation, consumption and storage units within a building. While the definition of optimality depends on the particular application, a common goal is minimizing the operating cost. Many systems, especially available commercial products, neglect a potential limitation of the electrical energy that can be exchanged between the building and its connected grid (apart from static feed-in limits, possibly). However, due to the rising number of PV plants and large electric consumers such as electric vehicles in distribution grids, this assumption will not hold in the future. Hence, future BEMS may need to consider and adhere to dynamic grid consumption or feed-in limits to prevent temporal congestion of the connected distribution grid. This requirement makes efficient building energy management more challenging.

The goal of the thesis is researching and analyzing different approaches to handle variable and uncertain grid constraints in energy management optimization and how they differ from BEMS that are not subject to such restrictions.

Your Responsibilities

  • Literature review of approaches for energy management in buildings given variable restrictions regarding power exchange with the connected distribution grid.
  • Detailed analysis and classification of the approaches found, e.g. with regard to the optimization algorithm, control strategy and type of grid constraints.
  • Comparison to optimization approaches in BEMS with constant or no grid restrictions.

Our Offer

  • The possibility to work on a topic with high practical relevance
  • An interdisciplinary working environment and a pleasant working atmosphere
  • Intensive support with frequent meetings if desired

Your Profile

  • The ability to work independently and responsibly
  • Basic knowledge of mathematical programming/optimization
  • A fundamental understanding of energy (management) systems is helpful
  • Advanced German or English skills
  • Motivation and interest in the topic :)

Application

We are looking forward to your application! Please provide the following information:

  • Transcript of Records
  • CV

Job Description

  • Start: from now on
  • Language of the thesis: German or English
  • Corresponding institute at KIT: AIFB | Prof. Dr. Hartmut Schmeck