Distributed Sensing of Fluid Dynamic Phenomena with the XDense Sensor Grid Network

IEEE International Conference on Cyber Physical Systems, Networks and Applications (CPSNA'15), Hong Kong, China.

Desenvolvimento de coagulante/ floculante para tratamento de águas residuais numa indústria de adesivos

Esta dissertação teve como objetivo clarificar a qualidade das águas residuais de uma indústria de fabricação de adesivos. Para esta clarificação optou-se por um tratamento de coagulação/floculação a ser efetuado com a adição de apenas um produto no estado sólido. Para este estudo, selecionou-se substâncias comercialmente disponíveis destacando-se para esta formulação um coagulante, sulfato de alumínio (Al2 (SO4).3H2O, dois adjuvantes, hidróxido de cálcio, Ca(OH)2 (adjuvante H) e Montmorillonite, Al2O3.4SiO2.H2O (adjuvante M) e um floculante, uma poliacrilamida aniónica (C3H5NO)n. O efluente bruto da indústria de adesivos foi caraterizado e verificou-se que dos parâmetros analisados, apenas o pH obedece aos valores limite de emissão para descarga no coletor municipal. Determinaram-se as quantidades ótimas das substâncias selecionadas, a quantidade mínima de produto formulado e foi feita a otimização da composição do produto formulado, para três níveis de pH e duas condições de agitação Numa primeira fase, a realização de ensaios preliminares sobre a quantidade de cada uma das substâncias conduziu aos valores 5 e 30 g de coagulante, 2 e 10 g de adjuvante M; 3 g de adjuvante H e 0,01 g de floculante por 500 mL de efluente. Na otimização da quantidade mínima de produto formulado obteve-se o valor de 5g de produto por 500 mL de efluente. Relativamente à formulação do produto foi definido estudar o efeito da variação das razões, %(m/m), dos adjuvantes (M e H) em função do coagulante, para diferentes valores de pH inicial (6,2; 8,1 e 10) e para duas condições de agitação (A e B), sobre os parâmetros analisados (CQO, SST, turvação, pH final e IVL). Na condição A manteve-se uma agitação de 150 rpm durante 2 minutos, reduzindo-se para 60 rpm durante 15 minutos e, por fim, para 30 rpm durante 5 minutos. Na condição B foi usada uma agitação constante de 90 rpm durante 22 minutos. O estudo do efeito das variações das razões % (m/m) dos adjuvantes M e H foi dividido em três grupos com três subgrupos: 1º grupo - 0,6 a razão mássica adjuvante M/coagulante e 0,4, 1,2 e 2 a razão mássica adjuvante H/ coagulante; 2º grupo - 0,2 a razão mássica adjuvante M/coagulante e 0,1, 0,4 e 0,6 a razão mássica adjuvante H/ coagulante; 3º grupo - 0,1 a razão mássica adjuvante M/coagulante e 0,1, 0,2 e 0,3 a razão mássica adjuvante H/ coagulante. Após este estudo obteve-se para cada condição de agitação (A e B), as razões %(m/m) e o pH inicial mais adequados, com base nos melhores resultados obtidos no efeito sobre a CQO. Para a condição de agitação A o melhor resultado obteve-se para pH inicial igual a 8,1 com a razão mássica de adjuvante M/ coagulante igual a 0,1 e a razão mássica de adjuvante H/coagulante igual a 0,1 (percentagens de remoção de 98,01%, 99,60% e 99,43% para a CQO, SST e turvação, respetivamente). Para a condição de agitação B o melhor resultado obteve-se para pH inicial igual a 8,1 com a razão mássica de adjuvante M/ coagulante igual a 0,1 e a razão mássica de adjuvante H/coagulante igual a 0,1 (percentagens de remoção de 98,67%, 99,77% e 98,40% para a CQO, SST e turvação, respetivamente). Nestas condições é necessário efetuar a correção do pH após o tratamento. Apesar das elevadas percentagens de remoção obtidas, o índice volumétrico de lamas indica fraca qualidade de sedimentação.

Gestão da rede de hidrogénio da Refinaria de Matosinhos

Até há bem pouco tempo o hidrogénio não era considerado um elemento crucial nas refinarias, sendo por isso queimado juntamente com o fuel gás. Actualmente, o hidrogénio é considerado uma utilidade do processo e como tal deverá ser utilizado de forma eficiente. A procura crescente está também relacionada com as limitações ambientais exigidas bem como as especificações que os combustíveis devem apresentar, nomeadamente o teor de enxofre. Assim, torna-se necessário um melhor aproveitamento do hidrogénio presente na refinaria e como tal procede-se à gestão da rede de produção/distribuição/consumo do mesmo, dado ser um subproduto dos processos de refinação. Com tudo isto, a integração de processos tem sido a base de inúmeras metodologias sistemáticas que permitem identificar o ponto onde se poderá intervir. A gestão da rede de hidrogénio é baseada na metodologia pinch, que apresenta um procedimento que permite estabelecer a meta mínima de importação de hidrogénio à rede assim como localizar a corrente onde se pode aproveita-lo, e com isso reduzir os custos associados e obter novas especificações dos combustíveis. Esta dissertação de mestrado, teve como objectivo minimizar o hidrogénio presente no fuel gás da Refinaria de Matosinhos de forma a ser aproveitado na UN3700, unidade de hidrodessulfuração do gasóleo. Foi desenvolvida com base no trabalho proposto por Alves (1999), pois as correntes são consideradas em termos de qualidade (pureza em H2) e quantidade (caudal). Devido à existência de duas situações distintas nos resultados obtidos, concluise que para a situação em que se considera a corrente de reciclo, consegue-se obter uma percentagem de 55,21% de hidrogénio no fuel gás. Para a situação sem a corrente de reciclo é possível obter uma percentagem de 49,90%. Em ambas as situações será benéfico a ligação da UN1500 à UN1700 bem como do acumulador D- 4701 à UN1700.

Energy resource management in smart grids considering an Intensive use of electric vehicles

The introduction of electricity markets and integration of Distributed Generation (DG) have been influencing the power system’s structure change. Recently, the smart grid concept has been introduced, to guarantee a more efficient operation of the power system using the advantages of this new paradigm. Basically, a smart grid is a structure that integrates different players, considering constant communication between them to improve power system operation and management. One of the players revealing a big importance in this context is the Virtual Power Player (VPP). In the transportation sector the Electric Vehicle (EV) is arising as an alternative to conventional vehicles propel by fossil fuels. The power system can benefit from this massive introduction of EVs, taking advantage on EVs’ ability to connect to the electric network to charge, and on the future expectation of EVs ability to discharge to the network using the Vehicle-to-Grid (V2G) capacity. This thesis proposes alternative strategies to control these two EV modes with the objective of enhancing the management of the power system. Moreover, power system must ensure the trips of EVs that will be connected to the electric network. The EV user specifies a certain amount of energy that will be necessary to charge, in order to ensure the distance to travel. The introduction of EVs in the power system turns the Energy Resource Management (ERM) under a smart grid environment, into a complex problem that can take several minutes or hours to reach the optimal solution. Adequate optimization techniques are required to accommodate this kind of complexity while solving the ERM problem in a reasonable execution time. This thesis presents a tool that solves the ERM considering the intensive use of EVs in the smart grid context. The objective is to obtain the minimum cost of ERM considering: the operation cost of DG, the cost of the energy acquired to external suppliers, the EV users payments and remuneration and penalty costs. This tool is directed to VPPs that manage specific network areas, where a high penetration level of EVs is expected to be connected in these areas. The ERM is solved using two methodologies: the adaptation of a deterministic technique proposed in a previous work, and the adaptation of the Simulated Annealing (SA) technique. With the purpose of improving the SA performance for this case, three heuristics are additionally proposed, taking advantage on the particularities and specificities of an ERM with these characteristics. A set of case studies are presented in this thesis, considering a 32 bus distribution network and up to 3000 EVs. The first case study solves the scheduling without considering EVs, to be used as a reference case for comparisons with the proposed approaches. The second case study evaluates the complexity of the ERM with the integration of EVs. The third case study evaluates the performance of scheduling with different control modes for EVs. These control modes, combined with the proposed SA approach and with the developed heuristics, aim at improving the quality of the ERM, while reducing drastically its execution time. The proposed control modes are: uncoordinated charging, smart charging and V2G capability. The fourth and final case study presents the ERM approach applied to consecutive days.

Adding value [valorization] to tannery fleshings: part II – effect of protein hydrolysates on leather dyeing

The tanning industry generates a high quantity of solid wastes. Therefore, there is a need to create valorization [added value] options for these wastes. The main objective of the present work was to study the effect of protein hydrolysates (HP) prepared from fleshings on leather dyeing. During previous studies it was found that the application of HP products, obtained from fleshings, in leather retannage intensified the colour of crust leather. In this work the CIELAB colour system was used to evaluate the effect of HP on retannage processes. The main conclusions of this study were: (i) HP can be used instead of a dicyanodiamide resin (Fortan DC) if the colour parameters of the standard procedure are to be maintained, and (ii) the replacement of an acrylic resin (Fortan A40) by glutaraldehyde-modified HP (GHP) results in a darker skin, and can therefore be interesting for the reduction of the quantity of dye used.

Detection of ZnS phases in CZTS thin-films by EXAFS

Copper zinc tin sulfide (CZTS) is a promising Earthabundant thin-film solar cell material; it has an appropriate band gap of ~1.45 eV and a high absorption coefficient. The most efficient CZTS cells tend to be slightly Zn-rich and Cu-poor. However, growing Zn-rich CZTS films can sometimes result in phase decomposition of CZTS into ZnS and Cu2SnS3, which is generally deleterious to solar cell performance. Cubic ZnS is difficult to detect by XRD, due to a similar diffraction pattern. We hypothesize that synchrotron-based extended X-ray absorption fine structure (EXAFS), which is sensitive to local chemical environment, may be able to determine the quantity of ZnS phase in CZTS films by detecting differences in the second-nearest neighbor shell of the Zn atoms. Films of varying stoichiometries, from Zn-rich to Cu-rich (Zn-poor) were examined using the EXAFS technique. Differences in the spectra as a function of Cu/Zn ratio are detected. Linear combination analysis suggests increasing ZnS signal as the CZTS films become more Zn-rich. We demonstrate that the sensitive technique of EXAFS could be used to quantify the amount of ZnS present and provide a guide to crystal growth of highly phase pure films.

Evaluation of dynamic pass-through of carbon prices into electricity prices – a cointegrated VECM analysis

This paper addresses the impact of the CO2 opportunity cost on the wholesale electricity price in the context of the Iberian electricity market (MIBEL), namely on the Portuguese system, for the period corresponding to the Phase II of the European Union Emission Trading Scheme (EU ETS). In the econometric analysis a vector error correction model (VECM) is specified to estimate both long–run equilibrium relations and short–run interactions between the electricity price and the fuel (natural gas and coal) and carbon prices. The model is estimated using daily spot market prices and the four commodities prices are jointly modelled as endogenous variables. Moreover, a set of exogenous variables is incorporated in order to account for the electricity demand conditions (temperature) and the electricity generation mix (quantity of electricity traded according the technology used). The outcomes for the Portuguese electricity system suggest that the dynamic pass–through of carbon prices into electricity prices is strongly significant and a long–run elasticity was estimated (equilibrium relation) that is aligned with studies that have been conducted for other markets.

Optimization of River Water Quality Surveys by Multivariate Analysis of Physicochemical, Bacteriological and Ecotoxicological Data

This study aims to optimize the water quality monitoring of a polluted watercourse (Leça River, Portugal) through the principal component analysis (PCA) and cluster analysis (CA). These statistical methodologies were applied to physicochemical, bacteriological and ecotoxicological data (with the marine bacterium Vibrio fischeri and the green alga Chlorella vulgaris) obtained with the analysis of water samples monthly collected at seven monitoring sites and during five campaigns (February, May, June, August, and September 2006). The results of some variables were assigned to water quality classes according to national guidelines. Chemical and bacteriological quality data led to classify Leça River water quality as “bad” or “very bad”. PCA and CA identified monitoring sites with similar pollution pattern, giving to site 1 (located in the upstream stretch of the river) a distinct feature from all other sampling sites downstream. Ecotoxicity results corroborated this classification thus revealing differences in space and time. The present study includes not only physical, chemical and bacteriological but also ecotoxicological parameters, which broadens new perspectives in river water characterization. Moreover, the application of PCA and CA is very useful to optimize water quality monitoring networks, defining the minimum number of sites and their location. Thus, these tools can support appropriate management decisions.

Analysis of diffusion process in fractured reservoirs using fractional derivative approach

The fractal geometry is used to model of a naturally fractured reservoir and the concept of fractional derivative is applied to the diffusion equation to incorporate the history of fluid flow in naturally fractured reservoirs. The resulting fractally fractional diffusion (FFD) equation is solved analytically in the Laplace space for three outer boundary conditions. The analytical solutions are used to analyze the response of a naturally fractured reservoir considering the anomalous behavior of oil production. Several synthetic examples are provided to illustrate the methodology proposed in this work and to explain the diffusion process in fractally fractured systems.

Performance of state space and ARIMA models for consumer retail sales forecasting

Forecasting future sales is one of the most important issues that is beyond all strategic and planning decisions in effective operations of retail businesses. For profitable retail businesses, accurate demand forecasting is crucial in organizing and planning production, purchasing, transportation and labor force. Retail sales series belong to a special type of time series that typically contain trend and seasonal patterns, presenting challenges in developing effective forecasting models. This work compares the forecasting performance of state space models and ARIMA models. The forecasting performance is demonstrated through a case study of retail sales of five different categories of women footwear: Boots, Booties, Flats, Sandals and Shoes. On both methodologies the model with the minimum value of Akaike's Information Criteria for the in-sample period was selected from all admissible models for further evaluation in the out-of-sample. Both one-step and multiple-step forecasts were produced. The results show that when an automatic algorithm the overall out-of-sample forecasting performance of state space and ARIMA models evaluated via RMSE, MAE and MAPE is quite similar on both one-step and multi-step forecasts. We also conclude that state space and ARIMA produce coverage probabilities that are close to the nominal rates for both one-step and multi-step forecasts.