PhD position – Improving Geothermal Energy Efficiency through Machine Learning, Karlsruhe Institute

KIT Campus Sued, Karlsruhe, Germany (Source: KIT)

There is an open PhD position at the Karlsruhe Institute of Technology in Germany, and this project will use machine learning to simulate scale formation in cascade geothermal operations.

The Karlsruhe Institute of Technology (KIT) in Germany currently has an open PhD position in the upcoming Machine Learning Augmented Geothermal Energy Production (MALEG) project. Interested applicants can visit the official KIT page for more details on the application. Submissions will only be accepted until September 30, 2022.

The objective of the MALEG project is to design and optimize cascade production schemes aimed at achieving the highest possible energy output in geothermal energy facilities by preventing fouling. The enhanced scale potential of lower return temperatures is a key challenge as geothermal cascade utilization becomes a more common strategy for improving efficiency.

The research will focus on developing a machine learning tool to quantify the impact of enhanced cooling on the fluid-mineral balance and optimize operations economically. The tool will be based on results from widely applied deterministic models and experimental data collected by our international project partners at geothermal power plants in Germany, Austria and Turkey. Once fully implemented, the MALEG tool will act as a digital twin of a power plant, ready to assess and predict scale formation processes for geothermal production in different geological settings.

The ideal candidate should hold a master’s degree in earth science or geophysics, have a strong interest in water geochemistry and have experience in numerical modelling.

Source: Karlsruhe Institute of Technology


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