Projecte d'una central d'energia elèctrica de 400 kW mitjançant concentradors solars i una turbina de vapor

L’objecte del projecte és dissenyar una central productora d’energia elèctrica a través d’una turbina de vapor i un generador acoblat a aquesta, mitjançant concentradors d’energia solar cilindro-parabòlics. Aquests concentradors captaran la radiació directa del sol per concentrar-la al focus de la paràbola, on s’hi col·locarà un receptor per l’interior del qual hi passarà un fluid que s’escalfarà gràcies a aquests raigs concentrats. En el projecte s’ha dissenyat la instal·lació i estudiat la radiació disponible a la zona, s’ha realitzat un estudi de la viabilitat de la instal·lació necessària i del cost econòmic d’una central d’energia termoelèctrica fictícia a la zona de Tarragona

Autosuficiència energètica a la casa rural "Les Vinyes Grosses"

L’objectiu del present projecte és aconseguir l’autosuficiència energètica per a la casa rural “Les Vinyes Grosses”. Aquesta casa rural està situada a Sant Agustí de Lluçanès, comarca d’Osona. Es vol aconseguir fer una canvi de les instal·lacions que utilitzen energies no renovables a unes instal·lacions que funcionin amb energies renovables. Es pretén canviar la instal·lació de calefacció i aigua calenta que funciona amb gas-oil per una instal·lació que funcioni amb estella de pi roig que provingui de la mateixa finca. També es vol fer un canvi de la instal·lació elèctrica que funciona amb electricitat de la xarxa per una instal·lació elèctrica que utilitzi energia solar fotovoltàica. Per últim, es pretén que tota l’aigua consumida en la casa rural sigui aigua de la pluja en comptes d’utilitzar l’aigua de la xarxa. El cost total calculat per a realitzar aquests canvis d’instal·lacions és de 58.825 €, amb un temps d’amortització de 15,32 anys.

A hybrid method for sag source location in power network

The work presented in this paper belongs to the power quality knowledge area and deals with the voltage sags in power transmission and distribution systems. Propagating throughout the power network, voltage sags can cause plenty of problems for domestic and industrial loads that can financially cost a lot. To impose penalties to responsible party and to improve monitoring and mitigation strategies, sags must be located in the power network. With such a worthwhile objective, this paper comes up with a new method for associating a sag waveform with its origin in transmission and distribution networks. It solves this problem through developing hybrid methods which hire multiway principal component analysis (MPCA) as a dimension reduction tool. MPCA reexpresses sag waveforms in a new subspace just in a few scores. We train some well-known classifiers with these scores and exploit them for classification of future sags. The capabilities of the proposed method for dimension reduction and classification are examined using the real data gathered from three substations in Catalonia, Spain. The obtained classification rates certify the goodness and powerfulness of the developed hybrid methods as brand-new tools for sag classification

L'energia solar fotovoltaica com una alternativa en els espais urbans

Estudi realitzat per avaluar la possibilitat i viabilitat d’instal·lació de panells solar fotovoltaics als terrats de les comunitats de veïns del Districte de l’Eixample de Barcelona. La seva finalitat és conscienciar a la població sobre la problemàtica actual del canvi climàtic fent ús de la ciutat com a element clau per a fomentar l’estalvi de consum energètic i la reducció d’emissions de diòxid de carboni (CO2). Els resultats obtinguts ens donen un valor aproximat de la superfície i potència necessària pels habitants de la ciutat de Barcelona i Catalunya, per tal de cobrir el seu consum d’electricitat d’ús domèstic amb energia solar fotovoltaica, així com una comparativa amb els resultats obtinguts en el Districte de l’Eixample en les dimensions: socio-econòmica, mediambiental i política.

Projecte per la realització d’ una intal·lació solar fotovoltaica en règim especial als edificis de l’ Escola Politècnica Superior de la UdG

El present projecte té per principal odjectiu dur a terme el disseny d’ una instal·lació solar fotovoltaica de producció d’ energia elèctrica en règim especial sobre teulada instal·lada en un edifici de caràcter oficial de l’ Escola Politècnica Superior de la UdG amb l’ objectiu de generar energia elèctrica

Zenith angle distributions at Super-Kamiokande and SNO and the solution of the solar neutrino problem

We have performed a detailed study of the zenith angle dependence of the regeneration factor and distributions of events at SNO and SK for different solutions of the solar neutrino problem. In particular, we discuss the oscillatory behavior and the synchronization effect in the distribution for the LMA solution, the parametric peak for the LOW solution, etc. A physical interpretation of the effects is given. We suggest a new binning of events which emphasizes the distinctive features of the zenith angle distributions for the different solutions. We also find the correlations between the integrated day-night asymmetry and the rates of events in different zenith angle bins. The study of these correlations strengthens the identification power of the analysis.

Hybrid model of a double-fed induction machine and back-to-back converter

This report details the port interconnection of two subsystems: a power electronics subsystem (a back-to-back AC/AC converter (B2B), coupled to a phase of the power grid), and an electromechanical subsystem (a doubly-fed induction machine (DFIM), coupled mechanically to a flywheel and electrically to the power grid and to a local varying load). Both subsystems have been essentially described in previous reports (deliverables D 0.5 and D 4.3.1), although some previously unpublished details are presented here. The B2B is a variable structure system (VSS), due to the presence of control-actuated switches: however from a modelling and simulation, as well as a control-design, point of view, it is sensible to consider modulated transformers (MTF in the bond-graph language) instead of the pairs of complementary switches. The port-Hamiltonian models of both subsystems are presents and coupled through a power-preserving interconnection, and the Hamiltonian description of the whole system is obtained; detailed bond-graphs of all the subsystems and the complete system are provided.

Hybrid turbo FEC/ARQ systems and distributed space-time coding for cooperative transmission

Cooperative transmission can be seen as a "virtual" MIMO system, where themultiple transmit antennas are in fact implemented distributed by the antennas both at the source and the relay terminal. Depending on the system design, diversity/multiplexing gainsare achievable. This design involves the definition of the type of retransmission (incrementalredundancy, repetition coding), the design of the distributed space-time codes, the errorcorrecting scheme, the operation of the relay (decode&forward or amplify&forward) and thenumber of antennas at each terminal. Proposed schemes are evaluated in different conditionsin combination with forward error correcting codes (FEC), both for linear and near-optimum(sphere decoder) receivers, for its possible implementation in downlink high speed packetservices of cellular networks. Results show the benefits of coded cooperation over directtransmission in terms of increased throughput. It is shown that multiplexing gains areobserved even if the mobile station features a single antenna, provided that cell wide reuse of the relay radio resource is possible.

A hybrid feature selection approach for the early diagnosis of Alzheimer's disease

Objective. Recently, significant advances have been made in the early diagnosis of Alzheimer’s disease from EEG. However, choosing suitable measures is a challenging task. Among other measures, frequency Relative Power and loss of complexity have been used with promising results. In the present study we investigate the early diagnosis of AD using synchrony measures and frequency Relative Power on EEG signals, examining the changes found in different frequency ranges. Approach. We first explore the use of a single feature for computing the classification rate, looking for the best frequency range. Then, we present a multiple feature classification system that outperforms all previous results using a feature selection strategy. These two approaches are tested in two different databases, one containing MCI and healthy subjects (patients age: 71.9 ± 10.2, healthy subjects age: 71.7 ± 8.3), and the other containing Mild AD and healthy subjects (patients age: 77.6 ± 10.0; healthy subjects age: 69.4± 11.5). Main Results. Using a single feature to compute classification rates we achieve a performance of 78.33% for the MCI data set and of 97.56 % for Mild AD. Results are clearly improved using the multiple feature classification, where a classification rate of 95% is found for the MCI data set using 11 features, and 100% for the Mild AD data set using 4 features. Significance. The new features selection method described in this work may be a reliable tool that could help to design a realistic system that does not require prior knowledge of a patient's status. With that aim, we explore the standardization of features for MCI and Mild AD data sets with promising results.