Cristin-resultat-ID: 2108211
Sist endret: 17. januar 2023, 07:48
Resultat
Vitenskapelig foredrag
2022

Modeling and Optimization of Shallow Geothermal Heat Storage

Bidragsytere:
  • Øystein Klemetsdal
  • Halvor Møll Nilsen
  • Stein Krogstad
  • Odd Andersen og
  • Eivind Bastesen

Presentasjon

Navn på arrangementet: European Conference on the Mathematics of Geological Reservoirs (ECMOR 2022)
Sted: Haag, Nederland
Dato fra: 5. september 2022
Dato til: 7. september 2022

Arrangør:

Arrangørnavn: European Association of Geoscientists and Engineers (EAGE)

Om resultatet

Vitenskapelig foredrag
Publiseringsår: 2022

Beskrivelse Beskrivelse

Tittel

Modeling and Optimization of Shallow Geothermal Heat Storage

Sammendrag

Shallow geothermal reservoirs are excellent candidates for low-enthalpy energy storage, and can serve as heat batteries providing constant discharge of base heat, as well as rapid discharge of heat in periods of high demand. Recharging can be done by pumping down hot water, heated using excess heat from e.g., waste incinerators. In addition to having a very low carbon footprint, such systems also require limited surface infrastructure, and can easily be placed near or under the end-user, such as residential buildings. The geological setting is typically complex, with horizons, faults, and intertwined patterns of natural fractures, and the nearwell region is often hydraulically fractured to enhance well communication. Therefore, in order to fully utilize the potential of shallow geothermal heat storage, numerical simulations are imperative. In this work, we show how to practically model such systems, including generation of computational grids with a large number of wells and fractures, numerical discretizations with discrete fractures (DFN), and complex storage strategies with multiple wells working together under common group targets. We also discuss how adjoint-based methods can be used to tune model parameters (e.g., well injectivities, rock properties, and hydraulic fracture conductivities) so that the model fits observed data, and to find well controls (e.g., rates and temperatures) that optimize storage operations. The methodology is demonstrated using a set of real geothermal heat storage projects currently under development, and we highlight important challenges and our suggested solutions related to each of them.

Bidragsytere

Øystein Klemetsdal

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Halvor Møll Nilsen

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Stein Krogstad

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Odd Andersen

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Eivind Bastesen

  • Tilknyttet:
    Forfatter
    ved NORCE Energi og teknologi ved NORCE Norwegian Research Centre AS
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