| Autor: |
Dargam, Fatima, Perz, Erhard, Bergmann, Stefan, Rodionova, Ekaterina, Sousa, Pedro, Souza, Francisco, Matias, Tiago, Ortiz, Juan, Esteve-Nuñez, Abraham, Rodenas, Pau, Bonachela, Patricia |
| Zdroj: |
International Journal of Decision Support System Technology; December 2022, Vol. 15 Issue: 2 p1-20, 20p |
| Abstrakt: |
This paper describes some of the work carried out within the Horizon 2020 project MIDES (MIcrobial DESalination for low energy drinking water), which is developing the world's largest demonstration of a low-energy sys-tem to produce safe drinking water. The work in focus concerns the support for operational decisions on desalination plants, specifically applied to a mi-crobial-powered approach for water treatment and desalination, starting from the stages of process modelling, process simulation, optimization and lab-validation, through the stages of plant monitoring and automated control. The work is based on the application of the environment IPSEpro for the stage of process modelling and simulation; and on the system DataBridge for auto-mated control, which employs techniques of Machine Learning. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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