Recuperació de metalls en l’aigua residual de la indústria galvànica mitjançant l’electròlisi i l’energia solar

Proposta del procés d’electròlisi com a mètode de recuperació de metalls pesants presents en les aigües de rentat de la indústria galvànica i l’obtenció de l’energia necessària a través de l’energia solar fotovoltaica

Transmission delays in residual computation

The design of control, estimation or diagnosis algorithms most often assumes that all available process variables represent the system state at the same instant of time. However, this is never true in current network systems, because of the unknown deterministic or stochastic transmission delays introduced by the communication network. During the diagnosing stage, this will often generate false alarms. Under nominal operation, the different transmission delays associated with the variables that appear in the computation form produce discrepancies of the residuals from zero. A technique aiming at the minimisation of the resulting false alarms rate, that is based on the explicit modelling of communication delays and on their best-case estimation is proposed

Estudi de la viabilitat de l’aprofitament de biomassa residual amb implantació d’una planta de cogeneració al sector del Pla de Baix de Domeny

L’estudi pretén incorporar el residu de fusta i poda com a combustible en una planta de cogeneració al sector del Pla de Baix de Domeny, per obtenir un benefici econòmic amb la venda d’energia elèctrica generada i utilitzar l’energia tèrmica residual per a la calefacció i l’aigua calenta sanitària dels habitatges. S’han analitzat els habitatges, els residus de biomassa i els diferents tipus de cogeneració. I s’ha proposat una cogeneració amb el cicle orgànic de Rankine, utilitzant l’estella de residus de fusta i poda per a 1219 habitatges del Pla de Baix de Domeny i s’ha estudiat la viabilitat econòmica

A proposal for the diagnosis of uncertain dynamic systems based on interval models

The performance of a model-based diagnosis system could be affected by several uncertainty sources, such as,model errors,uncertainty in measurements, and disturbances. This uncertainty can be handled by mean of interval models.The aim of this thesis is to propose a methodology for fault detection, isolation and identification based on interval models. The methodology includes some algorithms to obtain in an automatic way the symbolic expression of the residual generators enhancing the structural isolability of the faults, in order to design the fault detection tests. These algorithms are based on the structural model of the system. The stages of fault detection, isolation, and identification are stated as constraint satisfaction problems in continuous domains and solved by means of interval based consistency techniques. The qualitative fault isolation is enhanced by a reasoning in which the signs of the symptoms are derived from analytical redundancy relations or bond graph models of the system. An initial and empirical analysis regarding the differences between interval-based and statistical-based techniques is presented in this thesis. The performance and efficiency of the contributions are illustrated through several application examples, covering different levels of complexity.