Python for Energy System Modeling

About

This course provides a hands-on introduction to Python for energy system modeling, focusing on real-world applications such as renewable energy integration, electricity, heating and hydrogen networks, as well as energy storage. Participants will learn the basics of modeling, simulating, and optimizing energy systems while gaining skills in data processing, scenario analysis, and solving optimization problems. Through practical case studies, students will develop coding skills and the modeling skill set to solve real-world problems coming up in our transition to a net-zero carbon neutral future energy system.

Course leader

Jeremias Hollnagel

Target group

The course is designed for students working on or studying renewable energy systems, engineering, economics, industrial engineering, and related fields. However, anyone interested in energy systems modeling is welcome to join!

Course aim

By the end of the course, participants will be able to:

-Understand modeling tasks in the energy system space
-Read and write Python code and understand important programming concepts
-Analyze and handle datasets including geodata, graph data and time series data using various Python libraries
-Set up and solve optimization problems relevant to energy systems
-Use Python to visualize and interpret energy modeling results

Fee info