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Improved Estimation Algorithms for Water Purification and Desalination Systems

Descrizione del progetto

Migliorare i processi di depurazione e dissalazione dell’acqua per un migliore accesso all’acqua potabile

Una delle grandi sfide del XXI secolo è l’accesso sostenibile all’acqua potabile e la fornitura di approvvigionamento idrico utilizzabile per un’adeguata igienizzazione e per le pratiche agricole basate sull’irrigazione. L’elaborazione e il monitoraggio di informazioni relative al filtraggio e ai processi di rifinitura dell’acqua, che rivestono una grande importanza nei sistemi di gestione delle risorse idriche, richiedono una precisione elevata, standard in tempo reale e affidabilità. Per operazioni di controllo degli impianti idrici sicure ed efficienti è quindi necessario superare numerose sfide tecniche. Usando metodi di stima avanzati e concetti tecnici di sistema, il progetto PURE-WATER, finanziato dall’UE, svilupperà algoritmi di stima basati sulla modulazione per applicazioni idriche che identifichino le condizioni di funzionamento in deterioramento, nonché sensori intelligenti per un’elaborazione delle informazioni integrata nell’ambito della depurazione dell’acqua.

Obiettivo

Sustainable access to drinking water and providing usable water supply for adequate sanitation and also for irrigation based agriculture forms one of the major challenges for the global society in the 21st century. The major subject of the PURE-WATER project are water purification and desalination processes. As a crucial part of a functional water resource management system, the information processing and monitoring of the respective water filtration and refinement procedures are subject to high requirements for accuracy, real-time standards and reliability. From a system engineering perspective, major issues regarding the complex underlying physical principles are to gain an appropriate mathematical description of the dynamic behavior combined with an adequate parameterization and knowledge about the internal state conditions of the distributed processes via intelligent sensor data evaluation in spite of external perturbations. This is required for an efficient and safe water plant control setup. The consortium will work together on developing a robust and online implementable modulating function based estimation scheme that includes observers for nonlinear and distributed hydrodynamical systems with an additional fault detection and isolation concept to identify failing operational conditions such as membrane fouling impact. The designed methods are validated in simulation and an experimental test bench is developed for testing the designed algorithms in a realistic environment. Furthermore, a smart sensor configuration will be designed for joint measurement and data evaluation devices. This is accomplished by combining the expertise from academic partners on the fields of observer design as well as system modeling and simulation with the experience from industrial partners on waste water treatment, desalination and integrated sensor systems by exchanging knowledge between scientists from Europe, Latin America and the Middle East coordinated by EU members.

Coordinatore

TECHNISCHE UNIVERSITAET ILMENAU
Contribution nette de l'UE
€ 147 200,00
Indirizzo
EHRENBERGSTRASSE 29
98693 Ilmenau
Germania

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Regione
Thüringen Thüringen Ilm-Kreis
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 197 800,00

Partecipanti (3)

Partner (4)