Description du projet
Une méthode simple pour retirer les micropolluants présents dans l’eau
Ces dernières années, les inquiétudes concernant l’environnement et les risques liés à la pollution vont grandissantes. L’un des risques les plus importants est la contamination de l’eau, susceptible de se retrouver dans les eaux usées, la vie marine, les nappes phréatiques ainsi que dans l’eau traitée. Les micropolluants figurent parmi les principaux responsables et peuvent prendre la forme de perturbateurs endocriniens, de pesticides, de restes antibiotiques, et plus encore. Bien qu’ils puissent être éliminés par les usines de traitement des eaux usées, des concentrations élevées de ces micropolluants parviennent parfois à passer à travers. Le projet CLEAR, financé par l’UE, s’attaque à ce problème. Grâce à l’optimisation de la conception informatique, CLEAR compte optimiser la conception de dispositifs compacts, faciles à déployer et abordables développés pas EDEN MICROFLUIDICS, en adaptant ces dispositifs pour qu’ils puissent cibler un large éventail de micropolluants.
Objectif
The increased use of pharmaceutical drugs and agriculture chemicals in the last five decades now results in a global contamination of the water cycle. Antibiotics, endocrine disruptors, pesticides are among the most alarming compounds found in wastewaters and even in treated waters.
Currently, wastewater treatment plants are the most significant barriers to water contamination, but are known to fail in decreasing micropollutants concentrations to reasonable levels. Consequently, there is an urgent need to implement technologies for removal of micropollutants from wastewaters before they reach rivers, groundwater and marine waters.
EDEN MICROFLUIDICS offers a compact, easy-to-deploy, cost-effective technology for micropollutant removal, thus giving access to quality water to the EU and beyond. The system uses microfluidics for treatment of high volume of effluent at low pressures, decreasing significantly energy consumption compared to current techniques. But the fluidic design, while efficient, fails to adapt for the wide range of pollutants and their properties. The fluidic architecture should be dependent on pollutant types, sizes, concentration, ... Designing with such a large array of parameters requires expertise in a specific computational method: Computational Design Optimisation.
The objective of the research proposed here is to optimize the design of the devices developed by EDEN by means of computational methods. We will build the necessary physics-based or data-driven models to enable the use of numerical optimization algorithms to determine optimal design solutions for a variety of conditions and requirements. We will employ multidiscisplinary design optimization techniques to account for the interaction of different disciplines entailed in the treatment process, and will also formulate strategies for platform-based design of families of devices to derive different solutions at minimal cost and development lead times.
Champ scientifique
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsmicrofluidics
- engineering and technologyenvironmental engineeringwater treatment processeswastewater treatment processes
- natural sciencescomputer and information sciencescomputational science
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugsantibiotics
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
Programme(s)
Régime de financement
MSCA-IF-EF-SE - Society and Enterprise panelCoordinateur
75015 Paris
France
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.