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  The H2020 REFLECT project: Deliverable 4.5 – Decision support workflow for operation optimisation under fluid composition uncertainty

Gonçalves Machado, C., de Zwart, H., Gonçalves Dias Barros, E., Shoeibi Omrani, P. (2023): The H2020 REFLECT project: Deliverable 4.5 – Decision support workflow for operation optimisation under fluid composition uncertainty, Potsdam : GFZ German Research Centre for Geosciences, 18 p.
https://doi.org/10.48440/gfz.4.8.2023.007

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Reflect_deliverable_T4.5-1.pdf (Publisher version), 981KB
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 Creators:
Gonçalves Machado, Cíntia1, 2, Author
de Zwart, Hidde1, 2, Author
Gonçalves Dias Barros, Eduardo1, 2, Author
Shoeibi Omrani, Pejman 1, 2, Author
Affiliations:
1REFLECT, External Organizations, ou_5023225              
2TNO, ou_persistent22              

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 Abstract: This deliverable summarizes the optimization workflow to determine the optimum operational controls for the geothermal assets operation considering the uncertainties in the brine composition. The developed models for coupling hydrodynamics with chemistry and uncertainty quantification workflow for estimating the risk of scaling in geothermal plants were integrated with a stochastic optimization model. Results showed the demonstration of such an integrated workflow applied to a scaling precipitation case study and possible variations in operational decisions due to uncertainties in the brine composition.

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Language(s): eng - English
 Dates: 20232023
 Publication Status: Finally published
 Pages: 18
 Publishing info: Potsdam : GFZ German Research Centre for Geosciences
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.48440/gfz.4.8.2023.007
 Degree: -

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Project name : REFLECT
Grant ID : 850626
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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