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Assessment of the Effective Variants Leading to Higher Efficiency for the Geothermal Doublet, Using Numerical Analysis‒Case Study from Poland (Szczecin Trough)
Abstract
Numerical models of geothermal doublet allows us to reduce the high risk associated with the selection of the most eective location of a production well. Furthermore, modeling is a suitable tool to verify possible changes in operational geothermal parameters, which guarantees liveliness of the system. An appropriate selection of software as well as the methodology used to generate numerical models significantly aects the quality of the obtained results. In this paper, the authors discuss the influence of such parameters as grid density and distance between wells on the eciency of geothermal heating plant. The last stage of the analysis was connected with estimation of geothermal power potential for a hypothetical geothermal doublet. Numerical simulations were carried out using the TOUGH2 code, which applies the finite-dierence method. The research was conducted in the Szczecin Trough area (NW Poland), based on archival data from Choszczno IG-1 well. The results demonstrated that in the studied case of the Choszczno region, the changes in the distance of boreholes can have a visible influence on obtained results; however the grid density of the numerical model did not achieve a significant impact on it. The results show the significant importance of numerical modeling aimed at increasing the eciency of a potential geothermal heating plant.
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Authors (5)
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Anna Wachowicz-Pyzik
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Anna Sowiżdżał
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Leszek Pająk
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Janusz Badur prof.
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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ENERGIES
no. 13,
ISSN: 1996-1073 - Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Wachowicz-Pyzik A., Sowiżdżał A., Pająk L., Ziółkowski P., Badur J.: Assessment of the Effective Variants Leading to Higher Efficiency for the Geothermal Doublet, Using Numerical Analysis‒Case Study from Poland (Szczecin Trough)// ENERGIES -Vol. 13,iss. 9 (2020), s.2174-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/en13092174
- Verified by:
- Gdańsk University of Technology
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