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

Urheber*innen

Gonçalves Machado,  Cíntia
REFLECT, External Organizations;
TNO;

de Zwart,  Hidde
REFLECT, External Organizations;
TNO;

Gonçalves Dias Barros,  Eduardo
REFLECT, External Organizations;
TNO;

Shoeibi Omrani,  Pejman
REFLECT, External Organizations;
TNO;

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Volltexte (frei zugänglich)

Reflect_deliverable_T4.5-1.pdf
(Verlagsversion), 981KB

Ergänzendes Material (frei zugänglich)
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Zitation

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


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5023398
Zusammenfassung
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.