999 resultados para programa de aplicação
Resumo:
The setting up of wind power enterprises at Permanent Preservation Areas reflects the obvious conflict and necessary convergence between free market and energy security on the one hand, and the promotion of environmental quality on the other. From the perspective of energy sustainability, and in order to achieve development (in its complex meaning, which converges economic, social, environmental and cultural aspects), the harmonization between free market and an ecologically sustainable environment is required. This work aims to identify the link between the protection system of the Permanent Preservation Areas and the current constitutional order, by analyzing the implementation of wind power enterprises in these protected zones focusing on the proportionality aspects. A legal and purposeful research was developed, from a theoretical method, followed by collecting and analyzing both primary and secondary data. From these data, the law, the legal literature and judicial decisions were cross-examined, under the light of the Constitution and guided by the theory of proportionality and related development imperatives. In this context, the present study identified the link between the principles of the economic order, environment and energy law, finding their basis under the Federal Constitution and development. By reproducing this interrelationship and by means of post-crisis institutional reforms, the guiding objectives of the Brazilian electric sector began to corroborate the precepts of development, although issues regarding its sustainability still persist. The appraisal of proportionality indicates that the Permanent Preservation Areas protection system is insufficient to materialize the right to a healthy quality of life upon the implementation of wind projects at Permanent Preservation Areas, albeit seeking the harmonization between free market and environmental protection.
Resumo:
The setting up of wind power enterprises at Permanent Preservation Areas reflects the obvious conflict and necessary convergence between free market and energy security on the one hand, and the promotion of environmental quality on the other. From the perspective of energy sustainability, and in order to achieve development (in its complex meaning, which converges economic, social, environmental and cultural aspects), the harmonization between free market and an ecologically sustainable environment is required. This work aims to identify the link between the protection system of the Permanent Preservation Areas and the current constitutional order, by analyzing the implementation of wind power enterprises in these protected zones focusing on the proportionality aspects. A legal and purposeful research was developed, from a theoretical method, followed by collecting and analyzing both primary and secondary data. From these data, the law, the legal literature and judicial decisions were cross-examined, under the light of the Constitution and guided by the theory of proportionality and related development imperatives. In this context, the present study identified the link between the principles of the economic order, environment and energy law, finding their basis under the Federal Constitution and development. By reproducing this interrelationship and by means of post-crisis institutional reforms, the guiding objectives of the Brazilian electric sector began to corroborate the precepts of development, although issues regarding its sustainability still persist. The appraisal of proportionality indicates that the Permanent Preservation Areas protection system is insufficient to materialize the right to a healthy quality of life upon the implementation of wind projects at Permanent Preservation Areas, albeit seeking the harmonization between free market and environmental protection.
Resumo:
In this master thesis, we propose a multiscale mathematical and computational model for electrokinetic phenomena in porous media electrically charged. We consider a porous medium rigid and incompressible saturated by an electrolyte solution containing four monovalent ionic solutes completely diluted in the aqueous solvent. Initially we developed the modeling electrical double layer how objective to compute the electrical potential, surface density of electrical charges and considering two chemical reactions, we propose a 2-pK model for calculating the chemical adsorption occurring in the domain of electrical double layer. Having the nanoscopic model, we deduce a model in the microscale, where the electrochemical adsorption of ions, protonation/ deprotonation reactions and zeta potential obtained in the nanoscale, are incorporated through the conditions of interface uid/solid of the Stokes problem and transportation of ions, modeled by equations of Nernst-Planck. Using the homogenization technique of periodic structures, we develop a model in macroscopic scale with respective cells problems for the e ective macroscopic parameters of equations. Finally, we propose several numerical simulations of the multiscale model for uid ow and transport of reactive ionic solute in a saturated aqueous solution of kaolinite. Using nanoscopic model we propose some numerical simulations of electrochemical adsorption phenomena in the electrical double layer. Making use of the nite element method discretize the macroscopic model and propose some numerical simulations in basic and acid system aiming to quantify the transport of ionic solutes in porous media electrically charged.
Resumo:
In this master thesis, we propose a multiscale mathematical and computational model for electrokinetic phenomena in porous media electrically charged. We consider a porous medium rigid and incompressible saturated by an electrolyte solution containing four monovalent ionic solutes completely diluted in the aqueous solvent. Initially we developed the modeling electrical double layer how objective to compute the electrical potential, surface density of electrical charges and considering two chemical reactions, we propose a 2-pK model for calculating the chemical adsorption occurring in the domain of electrical double layer. Having the nanoscopic model, we deduce a model in the microscale, where the electrochemical adsorption of ions, protonation/ deprotonation reactions and zeta potential obtained in the nanoscale, are incorporated through the conditions of interface uid/solid of the Stokes problem and transportation of ions, modeled by equations of Nernst-Planck. Using the homogenization technique of periodic structures, we develop a model in macroscopic scale with respective cells problems for the e ective macroscopic parameters of equations. Finally, we propose several numerical simulations of the multiscale model for uid ow and transport of reactive ionic solute in a saturated aqueous solution of kaolinite. Using nanoscopic model we propose some numerical simulations of electrochemical adsorption phenomena in the electrical double layer. Making use of the nite element method discretize the macroscopic model and propose some numerical simulations in basic and acid system aiming to quantify the transport of ionic solutes in porous media electrically charged.
Resumo:
This study proposes a solution responsible for scheduling data processing with variable demand in cloud environments. The system built check specific variables to the business context of a company incubated at Digital Metropole Institute of UFRN. Such a system generates an identification strategy machinery designs available in a cloud environment, focusing on processing performance, using data load balancing strategies and activities of parallelism in the software execution flow. The goal is to meet the seasonal demand within a standard time limit set by the company, controlling operating costs by using cloud services in the IaaS layer.
Resumo:
Trace gases are important to our environment even though their presence comes only by ‘traces’, but their concentrations must be monitored, so any necessary interventions can be done at the right time. There are some lower and upper boundaries which produce nice conditions for our lives and then monitoring trace gases comes as an essential task nowadays to be accomplished by many techniques. One of them is the differential optical absorption spectroscopy (DOAS), which consists mathematically on a regression - the classical method uses least-squares - to retrieve the trace gases concentrations. In order to achieve better results, many works have tried out different techniques instead of the classical approach. Some have tried to preprocess the signals to be analyzed by a denoising procedure - e.g. discrete wavelet transform (DWT). This work presents a semi-empirical study to find out the most suitable DWT family to be used in this denoising. The search seeks among many well-known families the one to better remove the noise, keeping the original signal’s main features, then by decreasing the noise, the residual left after the regression is done decreases too. The analysis take account the wavelet decomposition level, the threshold to be applied on the detail coefficients and how to apply them - hard or soft thresholding. The signals used come from an open and online data base which contains characteristic signals from some trace gases usually studied.
Resumo:
Trace gases are important to our environment even though their presence comes only by ‘traces’, but their concentrations must be monitored, so any necessary interventions can be done at the right time. There are some lower and upper boundaries which produce nice conditions for our lives and then monitoring trace gases comes as an essential task nowadays to be accomplished by many techniques. One of them is the differential optical absorption spectroscopy (DOAS), which consists mathematically on a regression - the classical method uses least-squares - to retrieve the trace gases concentrations. In order to achieve better results, many works have tried out different techniques instead of the classical approach. Some have tried to preprocess the signals to be analyzed by a denoising procedure - e.g. discrete wavelet transform (DWT). This work presents a semi-empirical study to find out the most suitable DWT family to be used in this denoising. The search seeks among many well-known families the one to better remove the noise, keeping the original signal’s main features, then by decreasing the noise, the residual left after the regression is done decreases too. The analysis take account the wavelet decomposition level, the threshold to be applied on the detail coefficients and how to apply them - hard or soft thresholding. The signals used come from an open and online data base which contains characteristic signals from some trace gases usually studied.
Resumo:
The thermodynamic performance of a refrigeration system can be improved by reducing the compression work by a particular technique for a specific heat removal rate. This study examines the effect of small concentrations of Al2O3 (50 nm) nanoparticles dispersion in the mineral oil based lubricant on the: viscosity, thermal conductivity, and lubrication characteristics as well as the overall performance (based on the Second Law of Thermodynamics) of the refrigerating system using R134a or R600a as refrigerants. The study looked at the influences of variables: i) refrigerant charge (100, 110, 120 and 130 g), ii) rotational speed of the condenser blower (800 and 1100 RPM) and iii) nanoparticle concentration (0.1 and 0.5 g/l) on the system performance based on the Taguchi method in a matrix of L8 trials with the criterion "small irreversibility is better”. They were carried pulldown and cycling tests according to NBR 12866 and NBR 12869, respectively, to evaluate the operational parameters: on-time ratio, cycles per hour, suction and discharge pressures, oil sump temperature, evaporation and condensation temperatures, energy consumption at the set-point, total energy consumption and compressor power. In order to evaluate the nanolubricant characteristics, accelerated tests were performed in a HFRR bench. In each 60 minutes test with nanolubricants at a certain concentration (0, 0.1 and 0.5 g/l), with three replications, the sphere (diameter 6.00 ± 0.05 mm, Ra 0.05 ± 0.005 um, AISI 52100 steel, E = 210 GPa, HRC 62 ± 4) sliding on a flat plate (cast iron FC200, Ra <0.5 ± 0.005 um) in a reciprocating motion with amplitude of 1 mm, frequency 20 Hz and a normal load of 1,96 N. The friction coefficient signals were recorded by sensors coupled to the HFRR system. There was a trend commented bit in the literature: a nanolubricant viscosity reduction at the low nanoparticles concentrations. It was found the dominant trend in the literature: increased thermal conductivity with increasing nanoparticles mass fraction in the base fluid. Another fact observed is the significant thermal conductivity growth of nanolubricant with increasing temperature. The condenser fan rotational speed is the most influential parameter (46.192%) in the refrigerator performance, followed by R600a charge (38.606%). The Al2O3 nanoparticles concentration in the lubricant plays a minor influence on system performance, with 12.44%. The results of power consumption indicates that the nanoparticles addition in the lubricant (0.1 g/L), together with R600a, the refrigerator consumption is reduced of 22% with respect to R134a and POE lubricant. Only the Al2O3 nanoparticles addition in the lubricant results in a consumption reduction of about 5%.
Resumo:
The thermodynamic performance of a refrigeration system can be improved by reducing the compression work by a particular technique for a specific heat removal rate. This study examines the effect of small concentrations of Al2O3 (50 nm) nanoparticles dispersion in the mineral oil based lubricant on the: viscosity, thermal conductivity, and lubrication characteristics as well as the overall performance (based on the Second Law of Thermodynamics) of the refrigerating system using R134a or R600a as refrigerants. The study looked at the influences of variables: i) refrigerant charge (100, 110, 120 and 130 g), ii) rotational speed of the condenser blower (800 and 1100 RPM) and iii) nanoparticle concentration (0.1 and 0.5 g/l) on the system performance based on the Taguchi method in a matrix of L8 trials with the criterion "small irreversibility is better”. They were carried pulldown and cycling tests according to NBR 12866 and NBR 12869, respectively, to evaluate the operational parameters: on-time ratio, cycles per hour, suction and discharge pressures, oil sump temperature, evaporation and condensation temperatures, energy consumption at the set-point, total energy consumption and compressor power. In order to evaluate the nanolubricant characteristics, accelerated tests were performed in a HFRR bench. In each 60 minutes test with nanolubricants at a certain concentration (0, 0.1 and 0.5 g/l), with three replications, the sphere (diameter 6.00 ± 0.05 mm, Ra 0.05 ± 0.005 um, AISI 52100 steel, E = 210 GPa, HRC 62 ± 4) sliding on a flat plate (cast iron FC200, Ra <0.5 ± 0.005 um) in a reciprocating motion with amplitude of 1 mm, frequency 20 Hz and a normal load of 1,96 N. The friction coefficient signals were recorded by sensors coupled to the HFRR system. There was a trend commented bit in the literature: a nanolubricant viscosity reduction at the low nanoparticles concentrations. It was found the dominant trend in the literature: increased thermal conductivity with increasing nanoparticles mass fraction in the base fluid. Another fact observed is the significant thermal conductivity growth of nanolubricant with increasing temperature. The condenser fan rotational speed is the most influential parameter (46.192%) in the refrigerator performance, followed by R600a charge (38.606%). The Al2O3 nanoparticles concentration in the lubricant plays a minor influence on system performance, with 12.44%. The results of power consumption indicates that the nanoparticles addition in the lubricant (0.1 g/L), together with R600a, the refrigerator consumption is reduced of 22% with respect to R134a and POE lubricant. Only the Al2O3 nanoparticles addition in the lubricant results in a consumption reduction of about 5%.
Resumo:
This study evaluated the effects of incorporating an additive from an agro-industrial residue, after some chemical modification reactions, to petroleum asphalt cement (CAP) through the polymerization reaction of a viscous polyol obtained by bagasse biomass oxypropylation reaction sugarcane with anhydrides. The polyol is obtained by biomass oxypropylation reaction with propylene oxide, the reaction was performed in an autoclave sealed with pressure and temperature control using 25 mL of OP for every 5 grams of biomass 200°C, which time reaction was two hours. The reaction is revealed by varying the system pressure, initially at atmospheric pressure to reach a maximum pressure value and its subsequent return to atmospheric pressure. For the choice of the most suitable reaction time for polymerization of the polyol with pyromellitic anhydride, the reaction was also conducted in an autoclave sealed with temperature controller (150 ° C) using 20 g of polyol, 1 g of sodium acetate (catalyst) and 8 g of pyromellitic anhydride with the times 30 and 60 minutes. The polymerized materials with different times were characterized by determining the relative viscosity and percentage content of extractable in cyclohexane / ethanol. Given the results with the polymerized material 30 minutes showed the lowest percentage content of extractives and an increased viscosity relative indicating that this time is highlighted with respect to time 60 minutes, because the material is possibly in the form of a crosslinked polymer. Given the choice of time of 30 minutes other polymerization reactions were performed with various anhydrides and other conditions employed different proportions by mass of polyol anhydrides we were referred to as condition I (20 g anhydride and 8 g of polyol), II (20 g anhydride and 20 g of polyol) and III (8 g anhydride and 20 g of polyol). The FTIR spectra of polymeric materials with different polymerization conditions used to prove the occurrence of chemical modification due to the appearance of a characteristic band ester groups (1750 cm-1) present in the polymerized material. He chose to work with the condition III, as is the condition which employs a larger amount of polyol, and even with the smaller amount of anhydride used FTIR spectra revealed that the polymerization reaction was performed. Among the various anhydrides (phthalic, maleic and pyromellitic) of the different conditions used that stood out before the solubility test with solvents analyzed was polymerized material with pyromellitic anhydride because the polymerized material likely in the form of a crosslinked polymer because it was insoluble or poorly soluble in the solvents tested. Polymerization of the polyol with pyromellitic anhydride using condition III, that is, BCPP30, CSPP30, PCPP30 e BCPPG30, provided an increase in thermal stability relative to material in the form of polyol. Applicability tests concerning the incorporation of 16% m / m BCPP30, CSPP30, PCPP30 e BCPPG30 additive in relation to the mass of 600 g CAP showed through characterization tests used, softening point, elastic recovery and marshall dosage, it is possible to use BCPP30 as an additive the conventional CAP, because even with the incorporation of this new additive modified CAP met the specifications of the appropriate standard.
Resumo:
In this work, it was developed and validated methodologies that were based on the use of Infrared Spectroscopy Mid (MIR) combined with multivariate calibration Square Partial Least (PLS) to quantify adulterants such as soybean oil and residual soybean oil in methyl and ethyl palm biodiesels in the concentration range from 0.25 to 30.00 (%), as well as to determine methyl and ethyl palm biodiesel content in their binary mixtures with diesel in the concentration range from 0.25 to 30.00 (%). The prediction results showed that PLS models constructed are satisfactory. Errors Mean Square Forecast (RMSEP) of adulteration and content determination showed values of 0.2260 (%), with mean error (EM) with values below 1.93 (%). The models also showed a strong correlation between actual and predicted values, staying above 0.99974. No systematic errors were observed, in accordance to ASTM E1655- 05. Thus the built PLS models, may be a promising alternative in the quality control of this fuel for possible adulterations or to content determination.
Resumo:
This paper makes a comparative study of two Soft Single Switched Quadratic Boost Converters (SSS1 and SSS2) focused on Maximum Power Point Tracking (MPPT) of a PV array using Perturb and Observe (P&O) algorithm. The proposed converters maintain the static gain characteristics and dynamics of the original converter with the advantage of considerably reducing the switching losses and Electromagnetic Interference (EMI). It is displayed the input voltage Quadratic Boost converter modeling; qualitative and quantitative analysis of soft switching converters, defining the operation principles, main waveforms, time intervals and the state variables in each operation steps, phase planes of resonant elements, static voltage gain expressions, analysis of voltage and current efforts in semiconductors and the operational curves at 200 W to 800 W. There are presented project of PI, PID and PID + Notch compensators for MPPT closed-loop system and resonant elements design. In order to analyze the operation of a complete photovoltaic system connected to the grid, it was chosen to simulate a three-phase inverter using the P-Q control theory of three-phase instantaneous power. Finally, the simulation results and experimental with the necessary comparative analysis of the proposed converters will be presented.
Resumo:
Os perfis enformados a frio estão em crescente uso na indústria da construção, utilizados como estruturas secundárias e primárias, por apresentar resistência em relação ao baixo peso, facilidade de utilização em obra e sustentabilidade. A norma europeia EN1993-1-3, também adotada em Portugal, que apresenta as especificações normativas sobre o uso estrutural de perfis enformados a frio é de difícil aplicação para os projetistas devido à quantidade e complexidade de cálculos para que sejam efetuadas as verificações de segurança necessárias, pelas limitações dos programas informáticos e complexidade de compreensão dos fenómenos da instabilidade local e distorcional que condicionam o comportamento deste tipo de secções, classificadas como de classe 4. O presente trabalho procura explicar os procedimentos do eurocódigo e os seus aspetos mais controversos, como, por exemplo, o processo de cálculo da distribuição de tensões numa secção arbitrária constituída por segmentos retos, o cálculo de larguras efetivas e espessuras reduzidas e as verificações de segurança em termos de resistência e estabilidade global requeridos pela norma. O principal objetivo deste trabalho é o desenvolvimento um programa de cálculo para verificar barras com secções de classe 4 que tenha a abrangência das especificações do Eurocódigo (EC3-1-3), que possa auxiliar engenheiros no processo de projeto, dimensionamento e verificação regulamentar de estruturas metálicas que utilizem este tipo de secções. Para isso foi criada uma aplicação informática, em ambiente Windows®, que está ligada ao programa Autodesk® Robot Structural Analisys® para obtenção de dados de cálculo e executar os cálculos de secções efetivas e verificações de segurança de acordo com a norma europeia. São apresentados diagramas de blocos com a sequência do procedimento de cálculo das várias fases de cálculo de secções efetivas e de verificação de barras, com vista a mostrar a lógica de funcionamento interno da aplicação criada no âmbito deste trabalho. Por fim desenvolve-se um manual de utilização da aplicação e um exemplo comparativo, de cálculo das propriedades efetivas de uma secção, entre os resultados do programa e documentos de referência com cálculos manuais
Resumo:
This research aims to understand the factors that influence intention to online purchase of consumers, and to identify between these factors those that influence the users and the nonusers of electronic commerce. Thus, it is an applied, exploratory and descriptive research, developed in a quantitative model. Data collection was done through a questionnaire administered to a sample of 194 graduate students from the Centre for Applied Social Sciences of UFRN and data analysis was performed using descriptive statistics, confirmatory factorial analysis and simple and multiple linear regression analysis. The results of descriptive statistics revealed that respondents in general and users of electronic commerce have positive perceptions of ease of use, usefulness and social influence about buying online, and intend to make purchases on Internet over the next six months. As for the non-users of electronic commerce, they do not trust the Internet to transact business, have negative perceptions of risk and social influence over purchasing online, and does not intend to make purchases on Internet over the next six months. Through confirmatory factorial analysis six factors were set up: behavioral intention, perceived ease of use, perceived usefulness, perceived risk, trust and social influence. Through multiple regression analysis, was observed that all these factors influence online purchase intentions of respondents in general, that only the social influence does not influence the intention to continue buying on the Internet from users of electronic commerce, and that only trust and social influence affect the intention to purchase online from non-users of electronic commerce. Through simple regression analysis, was found that trust influences perceptions of ease of use, usefulness and risk of respondents in general and users of electronic commerce, and that trust does not influence the perceptions of risk of non-users of electronic commerce. Finally, it was also found that the perceived ease of use influences perceived usefulness of the three groups. Given this scenario, it was concluded that it is extremely important that organizations that work with online sales know the factors that influence consumers purchasing intentions in order to gain space in their market
Resumo:
A cannabis é a substância ilícita mais consumida pela população jovem (EMCDDA, 2015). Devido ao aumento das prevalências de consumo desta substância, tem-se verificado um aumento do número de indivíduos que recorrem ou são encaminhados para os serviços de saúde tendo a cannabis como droga principal. Por este motivo, temos assistido a uma necessidade cada vez maior de se realizarem intervenções preventivas que proporcionem conhecimentos e competências que ajudem a lidar com o risco associado ao consumo de substâncias psicoativas (SICAD, 2013a). O principal objetivo da presente dissertação é avaliar a eficácia de um programa de prevenção indicada aplicado num grupo de jovens consumidores de cannabis através de uma avaliação pré e pós-intervenção. A amostra foi constituída por 10 jovens consumidores de cannabis, pertencentes à consulta de prevenção indicada do Centro de Respostas Integradas de Aveiro. A intervenção em grupo implementada foi avaliada através da aplicação dos seguintes instrumentos: ASSIST, AUDIT e SCL-90-R e a análise de dados foi realizada através do SPSS – Versão 19.0. Não foram encontradas diferenças estatisticamente significativas ao nível da sintomatologia psicopatológica e de consumo entre as duas fases de avaliação do grupo de prevenção indicada. Contudo, observaram-se melhorias significativas no grupo de controlo ao nível de algumas subescalas psicopatológicas. Conclui-se que a intervenção individual foi mais eficaz do que a intervenção em grupo. Os resultados obtidos colocam em causa a pertinência de se realizarem intervenções em grupo neste tipo de populações.