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Noticias

Puesto de doctorado: aprendizaje automático para aumentar la eficiencia de la energía geotérmica, Instituto de Karlsruhe

KIT Campus Sued, Karlsruhe, Germany (source: KIT)
carlos Jorquera 23 Aug 2022

El Instituto de Tecnología de Karlsruhe en Alemania tiene un puesto de doctorado abierto para un proyecto que utilizará el aprendizaje automático para modelar la formación de escala en operaciones geotérmicas en cascada.

El Instituto de Tecnología de Karlsruhe (KIT) en Alemania tiene actualmente una vacante de doctorado en el próximo proyecto Aprendizaje automático para mejorar la producción de energía geotérmica (MALEG). Los solicitantes interesados pueden visitar la página oficial del KIT para obtener más detalles sobre la solicitud. Las presentaciones se aceptarán solo hasta el 30 de septiembre de 2022.

Información en inglés:

The target of the MALEG project is the design and optimization of cascade production schemes aiming for the highest possible energy output in geothermal energy facilities by preventing scaling. The enhanced scaling potential of lower return temperatures is one key challenge as geothermal cascade use becomes a more common strategy to increase efficiency.
The research will be focusing on the development of a machine learning tool to quantify the impact of the enhanced cooling on the fluid-mineral equilibrium and to optimize the operations economically. The tool will be based on results from widely-applied deterministic models and experimental data collected at geothermal plants in Germany, Austria and Turkey by our international project partners. Once fully implemented the MALEG-tool will work as a digital twin of the power plant, ready to assess and predict scaling formation processes for geothermal production from different geological settings.

The ideal candidate should hold a master’s degree in geosciences or geophysics with sound interest in aqueous geochemistry and experience in numerical modeling.

Source: Karlsruhe Institute of Technology