THC-Prognos
The research project for the cornerstone paper on the heat transition with geothermal energy of the Federal Ministry of Economics and Climate Protection, measure Data campaign.
THC-Prognos
The Thermal-Hydraulic-Chemical (THC) Prognostic Modelling project focuses on improving comprehension and control of geothermal resources. THC Prognos aims to enhance the effectiveness and sustainability of geothermal energy extraction by utilizing sophisticated modeling techniques and hydrochemical data from all over Germany to facilitate more effective development and management of geothermal resources.
The LIAG Institute for Applied Geophysics (LIAG) is essential to the THC Prognos project, specifically in Part C, where it is responsible for incorporating comprehensive hydrochemical data into the Geothermal Information System (GeotIS). The responsibility of LIAG is to collect and verify hydrochemical data from different sources, such as existing databases, publications, and archives of project partners. Subsequently, this data is analysed and integrated into GeotIS, so creating a comprehensive database that can be accessed by researchers and geothermal project developers.
The anticipated results of the THC Prognos project are diverse, encompassing refined prognostic models for geothermal systems, more data availability via GeotIS, and more informed decision-making about geothermal energy production. The project is lead by GFZ Potsdam and involves multiple partners, each providing their specialized knowledge to different facets of the project:
- Deutsches GeoForschungsZentrum
Sektion 4.8 - Technische Universität Darmstadt
Institut für Angewandte Geowissenschaften - Technische Universität Berlin
Institut für Angewandte Geowissenschaften - LIAG-Institut für Angewandte Geophysik
FB 3.1 - Hydroisotop GmbH
- Büro für Geohydrologie und Umweltinformationssysteme
Dr. Brehm & Grünz GbR
Geothermal Information System GeotIS
The LIAG Institute for Applied Geophysics (LIAG) has been developing and managing the Geothermal Information System for Germany (GeotIS) since 2006.
The significant nationwide expansion of geothermal energy necessitates a systematic enhancement of the data landscape with missing chemical properties of reservoir fluids. To address these challenges, the THC Prognos project aims to augment GeotIS by incorporating comprehensive fluid chemical data. This expansion will involve collecting and standardizing disparate thermal water analyses from various sources, ensuring their integration into a cohesive and accessible database. Enhanced functionality will be introduced to GeotIS, including the visualization of measurement locations, interactive query capabilities, and time series analysis of thermal water compositions.
Project management (LIAG)
Duration and Funding
The project started in autumn 2022 and will run for 41 months.
It is funded by the 7th Energy Research Framework Programme of the BMWK.