Open-Source Development of a Stochastic Programming District Heating Network Design Model in Python

Institut

Lehrstuhl für Energiesysteme

Typ

Semesterarbeit / Masterarbeit /

Inhalt

theoretisch /  

Beschreibung

The residential heating sector represents over a fourth of the final energy consumption in the EU, of which only a small fraction (27 %) is sourced from renewable energy sources. A speed-up in the transformation of the heating sector is critical to reaching ambitious climate targets. District heating can be an efficient technology to supply dense urban areas with renewable heating. However, these complex networks need an accurate, fast, and scalable design process to deploy them at scale. The open-source package topotherm (https://github.com/jylambert/topotherm/), developed and maintained by the Chair of Energy Systems, performs particularly well in comparison to existing open-source models.

This master's thesis focuses on further developing and evaluating the topotherm package, by improving collaboratively and openly the model. In particular, the model's potential for a stochastic optimization with decomposition methods such as Bender's, will be developed and tested.

Work packages

1. Testing, profiling of the current topotherm implementation
2. Literature research on stochastic programming and Bender's decomposition with Python and district heating networks
3. Model development
4. Thesis writing

Voraussetzungen

• Fundamental understanding of energy systems.
• Experience programming with Python.
• Interest in district heating networks.
• Knowledge of mixed-integer linear programming is a plus.

Möglicher Beginn

sofort

Kontakt

Amedeo Ceruti
Raum: 3712
Tel.: +49 89 289 16343
amedeo.cerutitum.de

Ausschreibung