Descripción del proyecto
Una manera más fácil de eliminar microcontaminantes del agua
La preocupación que despiertan el medio ambiente y los riesgos que genera la contaminación no deja de crecer. Uno de los riesgos fundamentales es la contaminación hídrica, lo cual afecta a las aguas residuales, marinas, subterráneas y depuradas. Los microcontaminantes, una de las causas principales de dicha contaminación, pueden ser disruptores endocrinos, plaguicidas, restos de antibióticos, etc., los cuales pueden eliminarse en depuradoras de aguas residuales, pero que pueden saltarse este filtro cuando su concentración es alta. El proyecto financiado con fondos europeos CLEAR se propone resolver este problema mediante optimización de diseño informático. El proyecto optimizará el diseño de dispositivos eficaces, rentables, fáciles de instalar y compactos desarrollados por EDEN MICROFLUIDICS, y los adaptará para que eliminen una amplia gama de microcontaminantes.
Objetivo
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.
Ámbito científico
- 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
Programa(s)
Régimen de financiación
MSCA-IF-EF-SE - Society and Enterprise panelCoordinador
75015 Paris
Francia
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.