4 resultados para PLANTAS DE TRATAMIENTO DE AGUA

em Universitat de Girona, Spain


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La reutilización de las aguas residuales es una parte esencial del uso sostenible del agua. Sin embargo, las actuales plantas de tratamiento no están preparadas para tratar determinados compuestos como los llamados “contaminantes emergentes”. Los hábitos de consumo actuales estan generando una serie de residuos o microcontaminantes que hace tan solo unos años no existian. Entre esas nuevas sustancias aparecen los PPCP’s (Pharmaceuticals & Personal Care Products) que son un amplio grupo de compuestos químicos utilizados en veterinaria, prácticas agrícolas, salut humana y cosmetología. El mayor problema que presentan estas substancias en la actualidad es el parcial desconocimiento sobre sus efectos, la ausencia de reglamentaciones que determinen las concentraciones máximas admisibles en los cauces de vertido, la reducción en procesos de depuración convencionales, así como los tratamientos específicos aplicables a su eliminación. Los objetivos del presente proyecto són: estudiar las tipologías de PPCP’s y sus influencias para la salud humana y el medio ambiente, estudiar los diferentes sistemas de tratamiento de aguas existentes en plantas depuradoras y evaluar su eficiencia en la depuración de PPCP

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ABSRACT This thesis focuses on the monitoring, fault detection and diagnosis of Wastewater Treatment Plants (WWTP), which are important fields of research for a wide range of engineering disciplines. The main objective is to evaluate and apply a novel artificial intelligent methodology based on situation assessment for monitoring and diagnosis of Sequencing Batch Reactor (SBR) operation. To this end, Multivariate Statistical Process Control (MSPC) in combination with Case-Based Reasoning (CBR) methodology was developed, which was evaluated on three different SBR (pilot and lab-scales) plants and validated on BSM1 plant layout.

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The activated sludge and anaerobic digestion processes have been modelled in widely accepted models. Nevertheless, these models still have limitations when describing operational problems of microbiological origin. The aim of this thesis is to develop a knowledge-based model to simulate risk of plant-wide operational problems of microbiological origin.For the risk model heuristic knowledge from experts and literature was implemented in a rule-based system. Using fuzzy logic, the system can infer a risk index for the main operational problems of microbiological origin (i.e. filamentous bulking, biological foaming, rising sludge and deflocculation). To show the results of the risk model, it was implemented in the Benchmark Simulation Models. This allowed to study the risk model's response in different scenarios and control strategies. The risk model has shown to be really useful providing a third criterion to evaluate control strategies apart from the economical and environmental criteria.

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Volatile Organic Compounds (VOCs) are one of the main groups of odour causing compounds in Waste Water Treatment Plants (WWTP). Adsorption technology is already established, in recent years the interest for the optimization of the costs associated with this technique has grown significantly. In particular, there are different options, from the use of low cost adsorbents, to reducing costs associated with carbon regeneration process. In this thesis, the adsorption of the three VOCs on sewage sludge based adsorbents was studied. It was proved that adsorbents obtained by chemical activation of sewage sludge with alkaline hydroxides are comparable to commercial activated carbons (ACs). Likewise, the adsorption of multicomponent gaseous streams was also studied. Related to the ACs regeneration, it was proposed a regeneration treatment of VOC saturated ACs with H2O2 based on advanced oxidation processes (AOP). The influence of the surface chemistry of ACs in this regeneration process was also studied.