NEFI Hackathon

At the NEFI Hackathon, the NEFI_Lab provides a platform for creative minds—inviting interested students to freely present their solution concepts and innovative ideas to tackle exciting challenges in the energy sector. Sign up now, either individually or with a team of up to three people, and be part of the NEFI Hackathon as a creative thinker!

The number of participants is limited to 20 people. Participation will take place in compliance with all COVID-19 prevention measures.

Prize Money

The winning teams will receive a total prize of €2,000. We would like to thank our partner companies: Rohrdorfer, Fronius, Energie Burgenland, Energie Steiermark, and Brauunion Österreich, for their generous support.

Requirements for Participation

Interest in the energy transition:

A basic understanding of:

• Photovoltaic systems
• Residual load
• Power-to-heat systems
• Interpretation of system behavior and characteristics

Passion for programming:

Knowledge of:

• Matlab
• Python
• Optimization techniques and signal processing

Participants must bring their own laptop with an installed and licensed version of Matlab and/or Python.

Task

Optimization of a decentralized energy supply at an industrial site:

Target:

• Consumer load profile (Industrial site with a defined shift model, including heat demand for manufacturing processes)
• Generator load profile (PV input [PPV f(Tambient, IGlobal)])

Optimization measures:

• Objective: Maximized self-consumption of electricity while minimizing external electricity purchases
• Optimized energy flow: Balancing generation and consumption
• Integration of additional consumers to increase flexibility:
  • Power-to-heat systems (heat pumps, thermal storage, auxiliary heaters)
  • Simulated battery charging stations for e-mobility fleets
  • AC consumers (e.g., air conditioning systems)
• Optimization algorithms and consumer control should be implemented using software tools such as Matlab and Python (or a combination of both). Interfaces and communication protocols for data exchange will be provided
• For optimal integration of producers and consumers, the required operating curves must be experimentally determined in the lab:
  • PPV f(Tambient, IGlobal)
  • PP2H f(process heat)

Registration

Participation in the event is free of charge. To register, please send an email by May 23, 2022, to:
Christopher.Gradwohl@unileoben.ac.at.

Contact Persons

• DI Christopher Gradwohl (MUL): christopher.gradwohl@unileoben.ac.at
• DI Dr. Gerald Steinmaurer (FH-Wels): gerald.steinmaurer@fh-wels.at
• Mag. Christine Öhlinger (ESV OÖ): christine.oehlinger@esv.or.at

We look forward to your participation!