Biofiltration of Air/Styrene and Air/Styrene/Acetone mixtures in a bubble column reactor

The goal of this work was the treatment of polluted waste gases in a bubble column reactor (BCR), in order to determinate the maximum value of reactor’s efficiency (RE), varying the inlet concentration (C in) of the pollutants. The gaseous mixtures studied were: (i) air with styrene and (ii) air with styrene and acetone. The liquid phase used to contain the biomass in the reactor was a basal salt medium (BSM), fundamental for the microorganisms’ development. The reactor used in this project consists of a glass column of 620mm height and inside diameter 75mm. In all essays there were continually measured: pH, dissolved oxygen and liquid’s temperature. Temperature and pH were controlled (T=24ºC, 7.0 ≤ pH ≤ 7.7). In all experiments the liquid volume (including the biomass) used in the reactor was kept constant (1.5L) as well as the total gas flowrate (1 L/min). Concerning the goal of the work, some parameters were calculated: the organic load (OL), removal efficiency (RE), elimination capacity (EC), biomass concentration (xf) and dry biomass concentration (Xdw). In a first series of experiments, the gas mixture used was air with styrene, varying its concentration from 191 mg.m-3 to 6500 mg.m-3.It was concluded that the RE maximum value (97%) was obtained for C in Sty = 4200 mg.m-3. For the maximum tested value of C in Sty, RE obtained was 20%. In a second step, the gaseous mixture included acetone, varying C in Sty between 225 mg.m-3 and 2659 mg.m-3 and C in Ac between 153mg.m-3 and 1389 mg.m-3. The aim of these tests was the determination of C in Ac for which RE was maximum, obtaining C in Ac = 750 mg.m-3. A third series of experiments was performed, in which C in Ac was maintained equal to that value and C in Sty was varied until higher values (5422 mg.m-3). RE maximum values obtained in this last series were 100% for styrene and 40% for acetone. One important conclusion is the fact that the microorganisms available degrade better styrene than acetone. On the ambit of this study, it was possible to identify the species available in biomass: Xanthobacter antotrophicus py2, Enterobacter aerogenes, Nocardia, Corynebacterium Spp., Rhodococcus rhodochrous e Pseudomonas Sp.

Optimização do tratamento por lamas activadas do efluente líquido da Mundotêxtil

A Mundotêxtil foi fundada em 1975 tendo iniciado a sua actividade na área comercial de produtos têxteis. Actualmente é o maior produtor nacional de atoalhados de felpo e emprega 575 colaboradores. Como resultado do seu crescimento e sobretudo da actividade de tingimento de fio e felpo, as necessidades de água são consideráveis e o volume de efluentes gerados nos processos industriais é cada vez maior a empresa avançou com a construção de uma estação de tratamento por lamas activadas, colocando-a em funcionamento em Setembro de 2004. Inicialmente surgiram dificuldades para a remoção da cor e da concentração da Carência Química de Oxigénio (CQO) de modo a cumprir os limites máximos de emissão permitidos nas normas de descarga no rio Ave e no Decreto-Lei nº 236/98, de 1 de Agosto. Com a descarga de parte dos efluentes no SIDVA e a utilização de um coagulante adicionado ao reactor o tratamento passou a apresentar melhores resultados. O intuito deste trabalho é o de apresentar soluções de modo a optimizar o funcionamento do tratamento biológico da Mundotêxtil. A optimização pode começar na concepção dos produtos, pode incidir no processo de fabrico para além de poder ser efectuada no seio da estação de tratamento biológico. Foi efectuado um estudo do tratamento biológico por lamas activadas no Laboratório de Tecnologia Química Profª Doutora Lída de Vasconcelos, laboratório tecnológico do Instituto Superior de Engenharia do Porto (ISEP) que decorreu nos meses de Maio, Junho e Julho de 2010. O estudo laboratorial foi efectuado para três situações distintas: 1) tratamento do efluente bruto sem qualquer tipo de pré-tratamento (ensaios 1 a 3); 2) tratamento do efluente bruto submetido a pré-tratamento com coagulante Ambifloc BIO MD (ensaios 4 e 5) e 3) tratamento com adição de fungos ao tanque de arejamento (ensaio 6). Foram utilizadas duas instalações de tratamento alimentadas a partir do mesmo tanque de alimentação. Os dois sistemas eram idênticos, diferiram nos caudais de alimentação de efluente que foram alterados ao longo do estudo. O efluente a tratar foi fornecido pela empresa Mundotêxtil, sendo recolhido por diversas vezes ao longo dos ensaios. Este efluente foi retirado após o pré-tratamento da empresa, ou seja este efluente é o mesmo que alimenta o tratamento biológico da Mundotêxtil. Devido a este facto o efluente usado no estudo laboratorial teve uma variabilidade no período em que decorreu o estudo, nomeadamente em termos de concentração de CQO e cor. A relação entre a Carência Bioquímica (CBO5) e a CQO situouse entre 0,47 e 0,63 o que traduz que está dentro dos valores típicos para um efluente têxtil. Os melhores resultados globais de remoção de CQO foram obtidos no ensaio 5 e estiveram compreendidos entre 73,2% e 77,5% para o ensaio 5.1 e entre 62,9 e 73,2% para o ensaio 5.2. Neste ensaio foi utilizado o coagulante. Todos os valores de concentração de CQO obtidos nos efluentes dos decantadores para os ensaios 2, 5 e 6 são inferiores aos valores limite de descarga definidos nas normas de descarga no rio Ave e o Decreto-Lei 236/98. Os valores de concentração de Sólidos Suspensos Totais (SST), pH, fósforo, CBO5 e cor nos decantadores cumpriram os limites de descarga definidos nas normas de descarga no rio Ave e no Decreto-Lei nº 236/98 em todos os ensaios. Os parâmetros cinéticos obtidos para os ensaios com descorante são os que melhor se ajustam ao projecto de uma instalação de tratamento biológico por lamas activadas do efluente da Mundotêxtil. Os valores obtidos, após ajuste, são os seguintes: k=0,015 L/(mgSSV*d); Sn=12 mg/L; a=0,7982 kgO2/kgCBO5; b=0,0233 [kgO2/(kgSSV*d); y=0,2253 kgSSV/kgCBO5; kd=0,0036 kgSSV/(kgSSV*d. Com base nos parâmetros cinéticos obtiveram-se os seguintes resultados para o projecto de uma estação de tratamento biológico por lamas activadas: · Tempo de retenção hidráulica no reactor de 1,79 d, · Volume do reactor igual a 3643 m3 · Consumo de oxigénio no reactor de 604 kg/d · Razão de recirculação igual a 0,8 · Volume total do decantador secundário igual a 540 m3 · Diâmetro do decantador secundário igual a 15 m A quantidade de oxigénio necessário é baixa e o valor mais adequado deverá ser da ordem de 1200 kg/d. Também foi efectuada uma análise aos produtos químicos consumidos pela empresa na área das tinturarias com a finalidade de identificar as substâncias com uma maior influência potencial no funcionamento da Estação de Tratamento Biológico. O encolante CB, Cera Têxtil P Líquida, Perfemina P-12, Meropan DPE-P, Meropan BRE-P, Indimina STS e Benzym TEC são os produtos químicos que têm uma influência potencial mais significativa na qualidade dos efluentes. Devido ao facto das temperaturas do efluente alimentado ao tratamento biológico da Mundotêxtil oscilarem entre 35 ºC e 43ºC efectuou-se um estudo às necessidades de água quente das tinturarias e por outro lado à capacidade de aquecimento dos efluentes disponíveis. Actualmente a racionalização dos consumos de água é cada vez mais premente, por isso também é apresentado neste trabalho um estudo para a substituição das máquinas convencionais das tinturarias com uma relação de banho 1:10 por máquinas de banho curto (1:6,5). Verifica-se a redução de consumos de 40% de água, 52% de energia eléctrica, 35% de produtos químicos, 51% das necessidades de vapor e por consequência um aumento da produtividade. A empresa pode reduzir os consumos de água em cerca de 280.000 m3/ano. A utilização do pré-tratamento com o coagulante permitirá baixar a concentração da CQO e reduzir a cor à entrada do reactor tratamento biológico. Deste modo é possível manter um tratamento eficiente à saída do tratamento biológico nas situações de descarga de cores carregadas e carga orgânica elevada. Com este conjunto de soluções, quer sejam aplicadas na totalidade ou não, a empresa Mundotêxtil pode enfrentar o futuro com mais confiança podendo estar preparada para fazer face à escassez de água e custos cada vez maiores da energia. Por outro lado pode tratar os seus efluentes a custos menores. A substituição das máquinas de tingimento por máquinas com relação de banho mais baixa (banho curto) implica investimentos elevados mas estes investimentos são necessários não só por motivos ambientais mas também devido à grande competitividade dos mercados.

Impacto Ambiental do Processo de Tingimento de uma Indústria de Curtumes e Avaliação do Desempenho da ETAR

Um dos objetivos desta dissertação de mestrado foi avaliar o impacto ambiental do processo de tingimento usado na indústria de curtumes, em termos de volume de efluente produzido e sua carga poluente. Pretendeu-se também encontrar alternativas ao nível do processo de tingimento que levem a uma melhoria na qualidade do efluente produzido. Outro objetivo deste trabalho foi avaliar o funcionamento da ETAR existente na empresa JR Fontes, no que diz respeito aos parâmetros em estudo (carência química de oxigénio - CQO, pH, crómio e teor de sólidos suspensos totais - SST), propondo alterações que permitam respeitar os valores de emissão exigidos na licença de descarga da empresa. Verificou-se que o processo de tingimento aplicado pela empresa JR Fontes é muito poluente, em termos de carga orgânica e matéria em suspensão. Este facto é comprovado pelos resultados obtidos para os três processos estudados: Montana, Galáctico e Navak. Todos os processos apresentam um efluente com pH ácido (aproximado a 3) e valores de CQO superiores a 3550 mg O2/L, sendo o processo Navak aquele que apresenta o valor mais alto para o banho composto, 8362 mg O2/L. Relativamente ao teor de crómio, o banho de recurtume com concentração mais elevada de crómio total é o banho 1 do processo Navak, com 2297 mg/L, sendo que a concentração destes banhos é sempre elevada, igual ou superior a 746 mg/L. No que diz respeito à matéria em suspensão, o processo Navak é novamente o mais poluente, com um valor de 3842 mg SST/L, não sendo obtidos nos outros processos, valores inferiores a 1205 mg SST/L. Na realização de um processo alternativo de tingimento verificou-se que é possível diminuir a carga orgânica do efluente originado. A aplicação de recurtumes sintéticos deu origem a efluentes menos poluentes. O melhor valor obtido para a CQO foi de 1113 mg O2/L, sendo obtidos valores não superiores a 7185 mg O2/L para processos de características semelhantes aos aplicados nesta indústria. Relativamente à ETAR, apesar das restrições ao funcionamento que esta apresenta, no geral pode ser considerada eficiente, embora não consiga atingir o objetivo pretendido de remoção para a CQO, ou seja o valor de 1100 mg O2/L. Nos restantes parâmetros é cumprido o limite de emissão (350 mg SST/L, pH entre 6 e 9 e 2 mg Cr/L para o crómio total): os SST apresentam o valor de 98 mg SST/L, o crómio total de 1,2 mg Cr/L e o pH encontra-se entre 8 e 9. São aqui feitas duas abordagens para solucionar os problemas existentes na ETAR. A primeira considera um ajuste no tratamento e equipamentos existentes, através da reconstrução do tanque de equalização, da substituição do coagulante por sulfato ferroso e da reconstrução do sedimentador, assim como a substituição das tubagens por umas de maior diâmetro, solucionando assim problemas de manutenção de toda a instalação e do incumprimento da legislação. A outra abordagem implica a substituição do sistema de afinação existente, os filtros de areia e carvão ativados, por um sistema de membranas de ultrafiltração ou por dois filtros de carvão ativado. Para tratar um efluente com um valor de CQO de 3000 mg O2/L com o carvão estudado, seriam necessários 132 kg de carvão por coluna, aproveitando-se os equipamentos existentes. No caso das membranas filtrantes, estas são eficazes, reduzindo a CQO em cerca de 70%. Ao contrário do carvão, a aplicação deste sistema implicaria a aquisição de novos equipamentos. Futuramente propõe-se a avaliação dos vários tipos de reagentes usados no tingimento de couro de forma a aplicar no tratamento aqueles que produzam as características desejadas no produto final e a que apresentem um menor resultado de CQO. Propõe-se também o estudo de viabilidade da remoção de crómio dos banhos de recurtume e consequente avaliação da aplicabilidade de um tratamento biológico em substituição ou como complemento do tratamento existente.

Definition of MV Load Diagrams via Weighted Evidence Accumulation Clustering using Subsampling

A definition of medium voltage (MV) load diagrams was made, based on the data base knowledge discovery process. Clustering techniques were used as support for the agents of the electric power retail markets to obtain specific knowledge of their customers’ consumption habits. Each customer class resulting from the clustering operation is represented by its load diagram. The Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) were applied to an electricity consumption data from a utility client’s database in order to form the customer’s classes and to find a set of representative consumption patterns. The WEACS approach is a clustering ensemble combination approach that uses subsampling and that weights differently the partitions in the co-association matrix. As a complementary step to the WEACS approach, all the final data partitions produced by the different variations of the method are combined and the Ward Link algorithm is used to obtain the final data partition. Experiment results showed that WEACS approach led to better accuracy than many other clustering approaches. In this paper the WEACS approach separates better the customer’s population than Two-step clustering algorithm.

Determination of electricity consumers’ load profiles via weighted evidence accumulation clustering using subsampling

With the electricity market liberalization, the distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity consumers. A fair insight on the consumers’ behavior will permit the definition of specific contract aspects based on the different consumption patterns. In order to form the different consumers’ classes, and find a set of representative consumption patterns we use electricity consumption data from a utility client’s database and two approaches: Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) for combining partitions in a clustering ensemble. While EAC uses a voting mechanism to produce a co-association matrix based on the pairwise associations obtained from N partitions and where each partition has equal weight in the combination process, the WEACS approach uses subsampling and weights differently the partitions. As a complementary step to the WEACS approach, we combine the partitions obtained in the WEACS approach with the ALL clustering ensemble construction method and we use the Ward Link algorithm to obtain the final data partition. The characterization of the obtained consumers’ clusters was performed using the C5.0 classification algorithm. Experiment results showed that the WEACS approach leads to better results than many other clustering approaches.

Typical load profiles in the smart grid context – a clustering methods comparison

The present research paper presents five different clustering methods to identify typical load profiles of medium voltage (MV) electricity consumers. These methods are intended to be used in a smart grid environment to extract useful knowledge about customer’s behaviour. The obtained knowledge can be used to support a decision tool, not only for utilities but also for consumers. Load profiles can be used by the utilities to identify the aspects that cause system load peaks and enable the development of specific contracts with their customers. The framework presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partition, which is supported by cluster validity indices. The process ends with the analysis of the discovered knowledge. To validate the proposed framework, a case study with a real database of 208 MV consumers is used.

Knowledge extraction from medium voltage load diagrams to support the definition of electrical tariffs

With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. In this environment all consumers are free to choose their electricity supplier. A fair insight on the customer´s behaviour will permit the definition of specific contract aspects based on the different consumption patterns. In this paper Data Mining (DM) techniques are applied to electricity consumption data from a utility client’s database. To form the different customer´s classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.

Fuzzy Monte Carlo mathematical model for load curtailment minimization in transmission power systems

This paper presents a methodology which is based on statistical failure and repair data of the transmission power system components and uses fuzzyprobabilistic modeling for system component outage parameters. Using statistical records allows developing the fuzzy membership functions of system component outage parameters. The proposed hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. A network contingency analysis to identify any overloading or voltage violation in the network is performed once obtained the system states by Monte Carlo simulation. This is followed by a remedial action algorithm, based on optimal power flow, to reschedule generations and alleviate constraint violations and, at the same time, to avoid any load curtailment, if possible, or, otherwise, to minimize the total load curtailment, for the states identified by the contingency analysis. In order to illustrate the application of the proposed methodology to a practical case, the paper will include a case study for the Reliability Test System (RTS) 1996 IEEE 24 BUS.

Contextual intelligent load management with ANN adaptive learning module

With the current increase of energy resources prices and environmental concerns intelligent load management systems are gaining more and more importance. This paper concerns a SCADA House Intelligent Management (SHIM) system that includes an optimization module using deterministic and genetic algorithm approaches. SHIM undertakes contextual load management based on the characterization of each situation. SHIM considers available generation resources, load demand, supplier/market electricity price, and consumers’ constraints and preferences. The paper focus on the recently developed learning module which is based on artificial neural networks (ANN). The learning module allows the adjustment of users’ profiles along SHIM lifetime. A case study considering a system with fourteen discrete and four variable loads managed by a SHIM system during five consecutive similar weekends is presented.

Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming

In the energy management of the isolated operation of small power system, the economic scheduling of the generation units is a crucial problem. Applying right timing can maximize the performance of the supply. The optimal operation of a wind turbine, a solar unit, a fuel cell and a storage battery is searched by a mixed-integer linear programming implemented in General Algebraic Modeling Systems (GAMS). A Virtual Power Producer (VPP) can optimal operate the generation units, assured the good functioning of equipment, including the maintenance, operation cost and the generation measurement and control. A central control at system allows a VPP to manage the optimal generation and their load control. The application of methodology to a real case study in Budapest Tech, demonstrates the effectiveness of this method to solve the optimal isolated dispatch of the DC micro-grid renewable energy park. The problem has been converged in 0.09 s and 30 iterations.

Intelligent SCADA for load control

A supervisory control and data acquisition (SCADA) system is an integrated platform that incorporates several components and it has been applied in the field of power systems and several engineering applications to monitor, operate and control a lot of processes. In the future electrical networks, SCADA systems are essential for an intelligent management of resources like distributed generation and demand response, implemented in the smart grid context. This paper presents a SCADA system for a typical residential house. The application is implemented on MOVICON™11 software. The main objective is to manage the residential consumption, reducing or curtailing loads to keep the power consumption in or below a specified setpoint, imposed by the costumer and the generation availability.

Strawberries from integrated pest management and organic farming: phenolic composition and antioxidant properties

Consumer awareness, pesticide and fertilizer contaminations and environmental concerns have resulted in significant demand for organically grown farm produce. Consumption of berries has become popular among health-conscious consumers due to the high levels of valuable antioxidants, such as anthocyanins and other phenolic compounds. The present study evaluated the influence that organic farming (OF) and integrated pest management (IPM) practise exert on the total phenolic content in 22 strawberry samples from four varieties. Postharvest performance of OF and IPM strawberries grown in the same area in the centre of Portugal and harvested at the same maturity stage were compared. Chemical profiles (phenolic compounds) were determined with the aid of HPLC-DAD/MS. Total phenolic content was higher for OF strawberry extracts. This study showed that the main differences in bioactive phytochemicals between organically and IPM grown strawberries concerned their anthocyanin levels. Organically grown strawberries were significantly higher in antioxidant activity than were the IPM strawberries, as measured by DPPH and FRAP assays.

Optimization of QuEChERS method for the analysis of organochlorine pesticides in soils with diverse organic matter

A QuEChERS method has been developed for the determination of 14 organochlorine pesticides in 14 soils from different Portuguese regions with wide range composition. The extracts were analysed by GC-ECD (where GC-ECD is gas chromatography-electron-capture detector) and confirmed by GC-MS/MS (where MS/MS is tandem mass spectrometry). The organic matter content is a key factor in the process efficiency. An optimization was carried out according to soils organic carbon level, divided in two groups: HS (organic carbon>2.3%) and LS (organic carbon<2.3%). Themethod was validated through linearity, recovery, precision and accuracy studies. The quantification was carried out using a matrixmatched calibration to minimize the existence of the matrix effect. Acceptable recoveries were obtained (70–120%) with a relative standard deviation of ≤16% for the three levels of contamination. The ranges of the limits of detection and of the limits of quantification in soils HS were from 3.42 to 23.77 μg kg−1 and from 11.41 to 79.23 μg kg−1, respectively. For LS soils, the limits of detection ranged from 6.11 to 14.78 μg kg−1 and the limits of quantification from 20.37 to 49.27 μg kg−1. In the 14 collected soil samples only one showed a residue of dieldrin (45.36 μg kg−1) above the limit of quantification. This methodology combines the advantages of QuEChERS, GC-ECD detection and GC-MS/MS confirmation producing a very rapid, sensitive and reliable procedure which can be applied in routine analytical laboratories.

Pesticide residues in Portuguese strawberries grown in 2009–2010 using integrated pest management and organic farming

Pesticides are among the most widely used chemicals in the world. Because of the widespread use of agricultural chemicals in food production, people are exposed to low levels of pesticide residues through their diets. Scientists do not yet have a total understanding of the health effects of these pesticide residues. This work aims to determine differences in terms of pesticide residue content in Portuguese strawberries grown using different agriculture practices. The Quick, Easy, Cheap, Effective, Rugged, and Safe sample preparation method was conducted and shown to have good performance for multiclass pesticides extraction in strawberries. The screening of 25 pesticides residue was performed by gas chromatography–tandem mass spectrometry. In quantitative validation, acceptable performances were achieved with recoveries of 70–120 and <12 % residual standard deviation for 25 pesticides. Good linearity was obtained for all the target compounds, with highly satisfactory repeatability. The limits of detection were in the range of 0.1–28 μg/kg. The method was applied to analyze strawberry samples from organic and integrated pest management (IPM) practices harvested in 2009–2010. The results showed the presence of fludioxonil, bifenthrin, mepanipyrim, tolylfluanid, cyprodinil, tetraconazole, and malathion when using IPM below the maximum residue levels.

Natural organic matter fractionation along the treatment of water for human consumption

The main objective of this study was to characterize the organic matter present in raw water and along the treatment process, as well as its seasonal variation. A natural organic matter fractionation approach has been applied to Lever water treatment plant located in Douro River, in Oporto (Portugal). The process used was based on the sorption of dissolved organic matter in different types of ion exchange resins, DAX-8, DAX-4 and IRA-958, allowing its separation into four fractions: very hydrophobic acids (VHA), slightly hydrophobic acids (SHA), charged hydrophilic (CHA) and hydrophilic neutral (NEU). The dissolved organic carbon (DOC) determination was used to quantify dissolved organic matter. Samples were collected monthly, during approximately one year, from raw water captured at the surface and under the bed of the river, and after each step of the treatment: pre-filtration in sand/anthracite filters, ozonation, coagulation/flocculation, counter current dissolved air flotation and filtration (CoCoDAFF) and chlorination. The NEU fraction showed a seasonal variation, with maximum values in autumn for the sampling points corresponding to raw water captured at the surface and under the bed of the river. It was usually the predominating fraction and did not show a significant decrease throughout the treatment. Nevertheless their low concentration, the same occurred for the CHA and VHA fractions. There was an overall decrease in the SHA fraction throughout the water treatment (especially after CoCoDAFF and ozonation) as well as in the DOC. The TSUVA254 values obtained for raw water generally varied between 2.0 and 4.0 L mgC-1 m-1 and between 0.75 and 1.78 L mgC-1 m-1 for treated water. It was observed a decrease of TSUVA values along the treatment, especially after ozonation. These results may contribute to a further optimization in the process of treating water for human consumption.