Vacancy No. IPE 01-19

IPE 01-19 Internship, Bachelorthesis or Masterthesis: Modeling of Smart Factory Electricity Load for Integration in Energy Storage System

Job description

SmILES is an on-going EU-project, which aims to investigate the integration of heterogeneous energy sources and storages, as well as to exchange best practices for modelling and simulation of energy systems.

As part of this, the Institute for Data Processing and Electronic (IPE) works on new methods to increase the availability and share of renewable energies in the smart grid by integrating lithium-ion battery storage systems (BESS). We develop, compare and cross-test models and algorithms for an optimized design, operation and control of the local hybrid energy system.

The goal of this work is to develop a model for the electricity consumption of a smart factory, which is located at KIT Campus North, based on measured power profiles. Analysis of the machine power profiles should be carried out in order to derive component-based models for individual machines.

Task descriptions

  • Get familiar with load modelling
  • Data processing
  • Reproduce the power load to validate the load model
  • Predict electricity consumption
  • Integrate production and energy storage
Personal qualification
  • Programming skills (MATLAB)
  • Basics in power electronics, statistics
  • Students major in Electric Engineering, Physics or related
Organizational unit

Institute for Data Processing and Electronics (IPE)

Starting date

as soon as possible

Contract duration:

3 to 6 months (Master Thesis, Bachelor Thesis, HIWI or internship);

limited, according to the study regulations

Contact person:                

Zhichao Wu: ; Phone: +49 721 / 608 29618

Thomas Blank: ; Phone: +49 721 / 608 25618


Please apply online using the button below for this vacancy number IPE 01-19.
Personnel support is provided by 

Ms Schaber
phone: +49 721 608-25184,

Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany

If qualified, severely disabled persons will be preferred.