Description du projet
Améliorer les processus de purification et de dessalement de l’eau pour améliorer l’accès à l’eau potable
L’un des grands défis du XXIe siècle est le fait de pouvoir accéder de manière durable à l’eau potable et de fournir un approvisionnement en eau utilisable, capable d’assurer un assainissement suffisant et des pratiques agricoles qui reposent sur l’irrigation. Élément précieux des systèmes de gestion des ressources en eau, le traitement de l’information et le contrôle des processus de filtration et de raffinage de l’eau exigent une précision et une fiabilité élevées ainsi que des normes en temps réel. Afin d’assurer une gestion efficace et sûre du contrôle des installations dans le domaine des ressources en eau, une série de défis techniques doit être relevée. En ayant recours à des méthodes d’estimation avancées et des concepts d’ingénierie de systèmes, le projet PURE-WATER, financé par l’UE, développera des algorithmes d’estimation fondés sur la modulation destinés aux applications de l’eau qui identifient la détérioration des conditions de fonctionnement. Le projet développera également des capteurs intelligents visant à assurer le traitement intégré des informations en ce qui concerne la purification de l’eau.
Objectif
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.
Champ scientifique
- engineering and technologyenvironmental engineeringwater treatment processesdrinking water treatment processes
- engineering and technologyenvironmental engineeringwater treatment processeswastewater treatment processes
- engineering and technologychemical engineeringseparation technologiesdesalinationreverse osmosis
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- engineering and technologyenvironmental engineeringnatural resources managementwater management
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Régime de financement
MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)Coordinateur
98693 Ilmenau
Allemagne