IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i6p1980-d766829.html
   My bibliography  Save this article

Geothermal Resources and ATES Potential of Mesozoic Reservoirs in the North German Basin

Author

Listed:
  • Maximilian Frick

    (Helmholtz Centre Potsdam–GFZ German Research Centre for Geosciences, Section Geoenergy, 14473 Potsdam, Germany)

  • Stefan Kranz

    (Helmholtz Centre Potsdam–GFZ German Research Centre for Geosciences, Section Geoenergy, 14473 Potsdam, Germany)

  • Ben Norden

    (Helmholtz Centre Potsdam–GFZ German Research Centre for Geosciences, Section Geoenergy, 14473 Potsdam, Germany)

  • David Bruhn

    (Helmholtz Centre Potsdam–GFZ German Research Centre for Geosciences, Section Geoenergy, 14473 Potsdam, Germany
    Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2600 Delft, The Netherlands
    Competence Centre Global Georesources, Fraunhofer IEG—Institution for Energy Infrastructures and Geothermal Systems, 03046 Cottbus, Germany)

  • Sven Fuchs

    (Helmholtz Centre Potsdam–GFZ German Research Centre for Geosciences, Section Geoenergy, 14473 Potsdam, Germany)

Abstract

Mesozoic sandstone aquifers in the North German Basin offer significant potential to provide green and sustainable geothermal heat as well as large-scale storage of heat or chill. The determination of geothermal and subsurface heat storage potentials is still afflicted with obstacles due to sparse and partly uncertain subsurface data. Relevant data include the structural and depositional architecture of the underground and the detailed petrophysical properties of the constituting rocks; both are required for a detailed physics-based integrated modeling and a potential assessment of the subsurface. For the present study, we combine recently published basin-wide structural interpretations of depth horizons of the main stratigraphic formations, with temperature data from geological and geostatistical 3D models (i.e., CEBS, GeotIS). Based on available reservoir sandstone facies data, additional well-log-based reservoir lithology identification, and by providing technical boundary conditions, we calculated the geothermal heat in place and the heat storage potential for virtual well doublet systems in Mesozoic reservoirs. This analysis reveals a large potential for both geothermal heating and aquifer thermal energy storage in geologically favorable regions, and in many areas with a high population density or a high heat demand. Given the uncertainties in the input data, the applied methods and the combination of data from different sources are most powerful in identifying promising regions for economically feasible subsurface utilization, and will help decrease exploration risks when combined with detailed geological site analysis beforehand.

Suggested Citation

  • Maximilian Frick & Stefan Kranz & Ben Norden & David Bruhn & Sven Fuchs, 2022. "Geothermal Resources and ATES Potential of Mesozoic Reservoirs in the North German Basin," Energies, MDPI, vol. 15(6), pages 1-26, March.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:1980-:d:766829
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/6/1980/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/6/1980/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thorsten Agemar & Josef Weber & Rüdiger Schulz, 2014. "Deep Geothermal Energy Production in Germany," Energies, MDPI, vol. 7(7), pages 1-20, July.
    2. Yibo Wang & Lijuan Wang & Yang Bai & Zhuting Wang & Jie Hu & Di Hu & Yaqi Wang & Shengbiao Hu, 2021. "Assessment of Geothermal Resources in the North Jiangsu Basin, East China, Using Monte Carlo Simulation," Energies, MDPI, vol. 14(2), pages 1-17, January.
    3. Fleuchaus, Paul & Schüppler, Simon & Bloemendal, Martin & Guglielmetti, Luca & Opel, Oliver & Blum, Philipp, 2020. "Risk analysis of High-Temperature Aquifer Thermal Energy Storage (HT-ATES)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    4. Fleuchaus, Paul & Godschalk, Bas & Stober, Ingrid & Blum, Philipp, 2018. "Worldwide application of aquifer thermal energy storage – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 861-876.
    5. Ciriaco, Anthony E. & Zarrouk, Sadiq J. & Zakeri, Golbon, 2020. "Geothermal resource and reserve assessment methodology: Overview, analysis and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    6. Thorsten Agemar & Josef Weber & Inga S. Moeck, 2018. "Assessment and Public Reporting of Geothermal Resources in Germany: Review and Outlook," Energies, MDPI, vol. 11(2), pages 1-17, February.
    7. Wang, Yang & Voskov, Denis & Khait, Mark & Saeid, Sanaz & Bruhn, David, 2021. "Influential factors on the development of a low-enthalpy geothermal reservoir: A sensitivity study of a realistic field," Renewable Energy, Elsevier, vol. 179(C), pages 641-651.
    8. Cao Wang, 2021. "Monte Carlo Simulation," Springer Series in Reliability Engineering, in: Structural Reliability and Time-Dependent Reliability, chapter 0, pages 105-163, Springer.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guillem Piris & Ignasi Herms & Albert Griera & Montse Colomer & Georgina Arnó & Enrique Gomez-Rivas, 2021. "3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models," Energies, MDPI, vol. 14(21), pages 1-21, November.
    2. Guilin Zhu & Linyou Zhang & Zhihui Deng & Qingda Feng & Zhaoxuan Niu & Wenhao Xu, 2023. "Three-Dimensional Geological Modeling and Resource Estimation of Hot Dry Rock in the Gonghe Basin, Qinghai Province," Energies, MDPI, vol. 16(16), pages 1-16, August.
    3. Weinand, J.M. & McKenna, R. & Fichtner, W., 2019. "Developing a municipality typology for modelling decentralised energy systems," Utilities Policy, Elsevier, vol. 57(C), pages 75-96.
    4. Jin, Wencheng & Atkinson, Trevor A. & Doughty, Christine & Neupane, Ghanashyam & Spycher, Nicolas & McLing, Travis L. & Dobson, Patrick F. & Smith, Robert & Podgorney, Robert, 2022. "Machine-learning-assisted high-temperature reservoir thermal energy storage optimization," Renewable Energy, Elsevier, vol. 197(C), pages 384-397.
    5. Anna Wachowicz-Pyzik & Anna Sowiżdżał & Leszek Pająk & Paweł Ziółkowski & Janusz Badur, 2020. "Assessment of the Effective Variants Leading to Higher Efficiency for the Geothermal Doublet, Using Numerical Analysis‒Case Study from Poland (Szczecin Trough)," Energies, MDPI, vol. 13(9), pages 1-20, May.
    6. Weinand, Jann Michael & Kleinebrahm, Max & McKenna, Russell & Mainzer, Kai & Fichtner, Wolf, 2019. "Developing a combinatorial optimisation approach to design district heating networks based on deep geothermal energy," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    7. Eyerer, S. & Schifflechner, C. & Hofbauer, S. & Bauer, W. & Wieland, C. & Spliethoff, H., 2020. "Combined heat and power from hydrothermal geothermal resources in Germany: An assessment of the potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    8. Jonathan Banks & Spencer Poulette & Jens Grimmer & Florian Bauer & Eva Schill, 2021. "Geochemical Changes Associated with High-Temperature Heat Storage at Intermediate Depth: Thermodynamic Equilibrium Models for the DeepStor Site in the Upper Rhine Graben, Germany," Energies, MDPI, vol. 14(19), pages 1-23, September.
    9. Daniilidis, Alexandros & Mindel, Julian E. & De Oliveira Filho, Fleury & Guglielmetti, Luca, 2022. "Techno-economic assessment and operational CO2 emissions of High-Temperature Aquifer Thermal Energy Storage (HT-ATES) using demand-driven and subsurface-constrained dimensioning," Energy, Elsevier, vol. 249(C).
    10. Romanov, D. & Leiss, B., 2022. "Geothermal energy at different depths for district heating and cooling of existing and future building stock," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    11. Banks, Jonathan & Rabbani, Arif & Nadkarni, Kabir & Renaud, Evan, 2020. "Estimating parasitic loads related to brine production from a hot sedimentary aquifer geothermal project: A case study from the Clarke Lake gas field, British Columbia," Renewable Energy, Elsevier, vol. 153(C), pages 539-552.
    12. Barth, Florian & Schüppler, Simon & Menberg, Kathrin & Blum, Philipp, 2023. "Estimating cooling capacities from aerial images using convolutional neural networks," Applied Energy, Elsevier, vol. 349(C).
    13. Susanne A. Benz & Kathrin Menberg & Peter Bayer & Barret L. Kurylyk, 2022. "Shallow subsurface heat recycling is a sustainable global space heating alternative," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    14. Strobel, Gion & Hagemann, Birger & Huppertz, Thiago Martins & Ganzer, Leonhard, 2020. "Underground bio-methanation: Concept and potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    15. Davide Toselli & Florian Heberle & Dieter Brüggemann, 2019. "Techno-Economic Analysis of Hybrid Binary Cycles with Geothermal Energy and Biogas Waste Heat Recovery," Energies, MDPI, vol. 12(10), pages 1-18, May.
    16. Els van der Roest & Stijn Beernink & Niels Hartog & Jan Peter van der Hoek & Martin Bloemendal, 2021. "Towards Sustainable Heat Supply with Decentralized Multi-Energy Systems by Integration of Subsurface Seasonal Heat Storage," Energies, MDPI, vol. 14(23), pages 1-31, November.
    17. Majorowicz, Jacek & Grasby, Stephen E., 2019. "Deep geothermal energy in Canadian sedimentary basins VS. Fossils based energy we try to replace – Exergy [KJ/KG] compared," Renewable Energy, Elsevier, vol. 141(C), pages 259-277.
    18. Wei Zhang & Qihong Feng & Sen Wang & Xianmin Zhang & Jiyuan Zhang & Xiaopeng Cao, 2022. "Molecular Simulation Study and Analytical Model for Oil–Water Two-Phase Fluid Transport in Shale Inorganic Nanopores," Energies, MDPI, vol. 15(7), pages 1-20, March.
    19. Beernink, Stijn & Bloemendal, Martin & Kleinlugtenbelt, Rob & Hartog, Niels, 2022. "Maximizing the use of aquifer thermal energy storage systems in urban areas: effects on individual system primary energy use and overall GHG emissions," Applied Energy, Elsevier, vol. 311(C).
    20. Knoblauch, Theresa A.K. & Trutnevyte, Evelina & Stauffacher, Michael, 2019. "Siting deep geothermal energy: Acceptance of various risk and benefit scenarios in a Swiss-German cross-national study," Energy Policy, Elsevier, vol. 128(C), pages 807-816.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:1980-:d:766829. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.