Experimental and modeling studies on reverse electrodialysis for sustainable power generation

A potentially renewable and sustainable source of energy is the chemical energy associated with solvation of salts. Mixing of two aqueous streams with different saline concentrations is spontaneous and releases energy. The global theoretically obtainable power from salinity gradient energy due to World’s rivers discharge into the oceans has been estimated to be within the range of 1.4-2.6 TW. Reverse electrodialysis (RED) is one of the emerging, membrane-based, technologies for harvesting the salinity gradient energy. A common RED stack is composed by alternately-arranged cation- and anion-exchange membranes, stacked between two electrodes. The compartments between the membranes are alternately fed with concentrated (e.g., sea water) and dilute (e.g., river water) saline solutions. Migration of the respective counter-ions through the membranes leads to ionic current between the electrodes, where an appropriate redox pair converts the chemical salinity gradient energy into electrical energy. Given the importance of the need for new sources of energy for power generation, the present study aims at better understanding and solving current challenges, associated with the RED stack design, fluid dynamics, ionic mass transfer and long-term RED stack performance with natural saline solutions as feedwaters. Chronopotentiometry was used to determinate diffusion boundary layer (DBL) thickness from diffusion relaxation data and the flow entrance effects on mass transfer were found to avail a power generation increase in RED stacks. Increasing the linear flow velocity also leads to a decrease of DBL thickness but on the cost of a higher pressure drop. Pressure drop inside RED stacks was successfully simulated by the developed mathematical model, in which contribution of several pressure drops, that until now have not been considered, was included. The effect of each pressure drop on the RED stack performance was identified and rationalized and guidelines for planning and/or optimization of RED stacks were derived. The design of new profiled membranes, with a chevron corrugation structure, was proposed using computational fluid dynamics (CFD) modeling. The performance of the suggested corrugation geometry was compared with the already existing ones, as well as with the use of conductive and non-conductive spacers. According to the estimations, use of chevron structures grants the highest net power density values, at the best compromise between the mass transfer coefficient and the pressure drop values. Finally, long-term experiments with natural waters were performed, during which fouling was experienced. For the first time, 2D fluorescence spectroscopy was used to monitor RED stack performance, with a dedicated focus on following fouling on ion-exchange membrane surfaces. To extract relevant information from fluorescence spectra, parallel factor analysis (PARAFAC) was performed. Moreover, the information obtained was then used to predict net power density, stack electric resistance and pressure drop by multivariate statistical models based on projection to latent structures (PLS) modeling. The use in such models of 2D fluorescence data, containing hidden, but extractable by PARAFAC, information about fouling on membrane surfaces, considerably improved the models fitting to the experimental data.

Modeling and forecasting value-at-risk for the Portuguese stock market

The aim of this work project is to find a model that is able to accurately forecast the daily Value-at-Risk for PSI-20 Index, independently of the market conditions, in order to expand empirical literature for the Portuguese stock market. Hence, two subsamples, representing more and less volatile periods, were modeled through unconditional and conditional volatility models (because it is what drives returns). All models were evaluated through Kupiec’s and Christoffersen’s tests, by comparing forecasts with actual results. Using an out-of-sample of 204 observations, it was found that a GARCH(1,1) is an accurate model for our purposes.

Trust, alliance management capability and the alliance management function: A comparative analysis of Portuguese SMEs

Strategic alliances represent a key driver for internationalization and growth, being the purpose of this work project to better understand the intertwined relationship between trust and the existence of an alliance management position. Previous research supports the positive impact of such position in stock market returns. However, little attention has been given to the impact of such position on the level of trust in the collaborative arrangement, which is deemed to be a key driver for alliance success. A qualitative comparative case-study of three Portuguese SMEs is used to draw conclusions from the literature to real life business cases and it demonstrates the positive impact of an alliance management position on trust.

Critérios de adequação em ecocardiografia e a repercussão clinica no outcome do paciente: a realidade do Lister Hospital - East and North Hertfordshire NHS Trust, Reino Unido

RESUMO - Introdução: Os critérios de adequação (Appropriate Use Criteria - AUC) em Ecocardiografia Transtorácica (ETT) foram publicados com o intuito de permitir o uso racional da ecocardiografia, de influenciar decisões clinicas, prestar cuidados de saúde de elevada qualidade e melhorar o outcome dos pacientes. A relação entre a adequação destes e o seu impacto clinico ainda não se encontra largamente estudada. Objectivo: Neste estudo pretendeu-se avaliar o grau de adesão aos AUC em ETT, em diferentes contextos de atendimento e de acordo com diferentes especialidades, bem como o impacto clínico do exame no outcome do paciente, num hospital público terciário no Reino Unido. Metodologia: 859 ETTs realizados consecutivamente no mês de Janeiro de 2014, foram revistos por forma a avaliar a sua adequação e foram classificados como adequados, incertos ou inadequados de acordo com as guidelines de 2011. De seguida os registos dos pacientes foram revistos com o intuito de avaliar o impacto clinico dos ETTs e foram classificados de acordo com uma das 3 seguintes categorias: (1) alteração ativa dos cuidados – por continuação ou descontinuação dos cuidados como resultado do ETT, (2) continuação dos cuidados – sem continuação ou descontinuação dos cuidados, mas comunicação ao paciente dos resultados do ETT, (3) sem alteração dos cuidados – os cuidados ao paciente já estavam a ser aplicados previamente ao resultado do ETT, causa de sintomas já estabelecida no momento da requisição para exame, exame prévio explicativo dos sintomas e sem indicação aguda para novo ETT, terapêutica não alterada ou inexistência de documentação relativa aos achados ecocardiográficos. Pacientes cujos registos não se encontravam disponíveis foram excluídos (259). Todas as classificações foram avaliadas por uma cardiologista independente, sem relação direta com o estudo. Resultados: A nossa amostra apresentou uma média de idades de 63 ± 17 anos, com uma equilíbrio de géneros. A maioria dos exames foi solicitada em contexto de ambulatório (81,4%), pela Cardiologia (50,3%) e pela Medicina Geral e Familiar (13,4%). Relativamente aos achados ecocardiográficos dos exames, 7,6% demonstraram disfunção sistólica do ventrículo esquerdo moderada a grave, 4,0% revelaram doença valvular grave e 5,1% hipertensão pulmonar significativa. Em relação à adequação dos pedidos para ETTs, 76,5% foram adequados, 7,1% inadequados e 12,6% incertos. Relativamente ao impacto clínico dos ETTs, 42,7% dos exames revelaram uma alteração ativa nos cuidados, 15,6% mostraram uma continuação dos cuidados e 11,5% demonstraram não haver alteração nos cuidados. A idade (P=0,05), o contexto de atendimento (P<0,01) e o pedido realizado pela especialidade medicina geral e familiar (MGF) (P=0,02) foram os preditores mais importantes de uma alteração ativa nos cuidados. Numa perspectiva de prestação de cuidados a uma população mais idosa, o contexto de atendimento, a presença de achados ecocardiográficos significativos e a não alteração dos cuidados apresentam uma relação significativa com a idade. Conclusões: Os dados demonstram que quase 8 em cada 10 ETTs foram considerados adequados e que 4 em cada 10 exames não apresentaram alteração ativa dos cuidados.

Modeling and optimization of extracellular polysaccharides production by Enterobacter A47

Polysaccharides are gaining increasing attention as potential environmental friendly and sustainable building blocks in many fields of the (bio)chemical industry. The microbial production of polysaccharides is envisioned as a promising path, since higher biomass growth rates are possible and therefore higher productivities may be achieved compared to vegetable or animal polysaccharides sources. This Ph.D. thesis focuses on the modeling and optimization of a particular microbial polysaccharide, namely the production of extracellular polysaccharides (EPS) by the bacterial strain Enterobacter A47. Enterobacter A47 was found to be a metabolically versatile organism in terms of its adaptability to complex media, notably capable of achieving high growth rates in media containing glycerol byproduct from the biodiesel industry. However, the industrial implementation of this production process is still hampered due to a largely unoptimized process. Kinetic rates from the bioreactor operation are heavily dependent on operational parameters such as temperature, pH, stirring and aeration rate. The increase of culture broth viscosity is a common feature of this culture and has a major impact on the overall performance. This fact complicates the mathematical modeling of the process, limiting the possibility to understand, control and optimize productivity. In order to tackle this difficulty, data-driven mathematical methodologies such as Artificial Neural Networks can be employed to incorporate additional process data to complement the known mathematical description of the fermentation kinetics. In this Ph.D. thesis, we have adopted such an hybrid modeling framework that enabled the incorporation of temperature, pH and viscosity effects on the fermentation kinetics in order to improve the dynamical modeling and optimization of the process. A model-based optimization method was implemented that enabled to design bioreactor optimal control strategies in the sense of EPS productivity maximization. It is also critical to understand EPS synthesis at the level of the bacterial metabolism, since the production of EPS is a tightly regulated process. Methods of pathway analysis provide a means to unravel the fundamental pathways and their controls in bioprocesses. In the present Ph.D. thesis, a novel methodology called Principal Elementary Mode Analysis (PEMA) was developed and implemented that enabled to identify which cellular fluxes are activated under different conditions of temperature and pH. It is shown that differences in these two parameters affect the chemical composition of EPS, hence they are critical for the regulation of the product synthesis. In future studies, the knowledge provided by PEMA could foster the development of metabolically meaningful control strategies that target the EPS sugar content and oder product quality parameters.