DC 10: Geothermal extraction from flooded mine shafts for heating & cooling applications.

Doctoral Candidate

Aymen Taoutaou

Bio

Aymen is a Marie Skłodowska-Curie Doctoral Researcher at the University of Derby, researching the use of geothermal energy from flooded mine shafts for heating and cooling applications. His research combines hydrogeological modelling, geospatial analysis, data science and artificial intelligence to investigate the potential of abandoned mine-water systems as low-carbon energy resources.

Aymen holds a Master’s degree in Hydroresources and Environmental Quality from Université Grenoble Alpes, as well as a Bachelor’s degree in Geology from Université de Constantine 1. Previous experience includes hydrological modelling at CEREMA and geodata science at Arethuse Geology, where he worked with Python, GIS, machine learning and deep learning for environmental and geological applications.

Alongside academic and professional experience, Aymen developed Geoquintus, an independent project focused on geospatial analysis, cartography and modelling. He has also presented my work at the Réunion des Sciences de la Terre (RST) conference.

In Aymen’s current research, he focuses on assessing mine water geothermal resources and developing modelling, feasibility and simulation approaches to investigate their potential for sustainable heating and cooling.

LinkedIn: https://www.linkedin.com/in/aymen-taoutaou/

Host Institution
University of Derby (United Kingdom)
Main Supervisor
Aim

The main objective is to evaluate the use of geothermally heated water in abandoned coal mines close to industrial or agricultural locations as a thermal store and as the base for water-source heat pumps.

Specific Objectives
  1. Identify mine shafts and industrial operations.
  2. Identify the most appropriate AI technology to process the data Evaluation of thermal energy in flooded mines using appropriate modelling tools, based on location, water depth, water temperature and volumes.
  3. Develop generic financial and feasibility criteria for future applications using an interactive database.
  4. Develop a feasibility simulation model with parametric sensitivity analysis and risk assessment. Assess and validate the model on existing and future projects.
Secondment
  • Bolsover District Council (United Kingdom)
  • University of Edinburgh (United Kingdom)
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This project is funded by the European Union as part of the Horizon Europe programme, Marie Skłodowska-Curie Actions Doctoral Networks (MSCA-DN) 2024 and under the Agreement number 101226708

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