Clínica e cirurgia de animais de companhia

Este relatório foi elaborado no âmbito do estágio curricular do Mestrado Integrado em Medicina Veterinária. Encontra-se dividido em duas partes. Na primeira parte é feita uma análise da casuística seguida durante o estágio. A segunda parte é constituída por uma monografia de revisão bibliográfica sobre o tema ”Tromboembolismo Arterial Felino”(TAF), bem como a descrição e discussão de dois casos clínicos acompanhados durante o estágio. O TAF é caracterizado pela embolização de um trombo numa artéria da circulação sistémica, sendo a localização mais frequente a trifurcação ilíaca da artéria aorta. Na maioria dos casos, o trombo tem origem no átrio esquerdo, como resultado de cardiomiopatia. Apesar do diagnóstico ser facilmente obtido através de sinais clínicos, o tratamento e a prevenção desta afeção representam um desafio para o médico veterinário, já que a taxa de reincidência de tromboembolismo e mortalidade são elevadas, projectando um prognóstico reservado; Clinic and Surgery of Small Animals Abstract: This report was done within the scope of the internship integrated master’s degree in Veterinay Medicine. It is divided in two parts. In the first part, an analisys of the casuistic followed during the internship is done. The second part is composed by a literature review about the theme ”Feline Arterial Thromboembolism”(FAT), as well as the description and discussion of two clinical cases followed during the internship. FAT is characterized by the embolization of a thrombus in a artery of systemic circulation, being its location more frequently in iliac trifurcation of aorta artery. On most of the cases the thrombus has its origins on the left atrium, as a result of cardiomyopathy. Besides the diagnosis being easily obtained through clinical signs, the treatment and prevention of this disease represents a challenge to the veterinarian clinician, due to the FAT recurrance rate and high mortality, projecting a pour/reserved prognosis.

Comparison of Photovoltaic panel’s standard and simplified models

Shockley diode equation is basic for single diode model equation, which is overly used for characterizing the photovoltaic cell output and behavior. In the standard equation, it includes series resistance (Rs) and shunt resistance (Rsh) with different types of parameters. Maximum simulation and modeling work done previously, related to single diode photovoltaic cell used this equation. However, there is another form of the standard equation which has not included Series Resistance (Rs) and Shunt Resistance (Rsh) yet, as the Shunt Resistance is much bigger than the load resistance and the load resistance is much bigger than the Series Resistance. For this phenomena, very small power loss occurs within a photovoltaic cell. This research focuses on the comparison of two forms of basic Shockley diode equation. This analysis describes a deep understanding of the photovoltaic cell, as well as gives understanding about Series Resistance (Rs) and Shunt Resistance (Rsh) behavior in the Photovoltaic cell. For making estimation of a real time photovoltaic system, faster calculation is needed. The equation without Series Resistance and Shunt Resistance is appropriate for the real time environment. Error function for both Series resistance (Rs) and Shunt resistances (Rsh) have been analyzed which shows that the total system is not affected by this two parameters' behavior.

Different Parameters Variation Analysis of a PV Cell

The paper states an introduction, description and implementation of a PV cell under the variation of parameters. Analysis and observation of a different parameters variation of a PV cell are discussed here. To obtain the model for the purpose of analyzing an equivalent circuit with the consisting parameters a photo current source, a series resistor, a shunt resistor and a diode is used. The fundamental equation of PV cell is used to study the model and to analyze and best fit observation data. The model can be used in measuring and understanding the behaviour of photovoltaic cells for certain changes in PV cell parameters. A numerical method is used to analyze the parameters sensitivity of the model to achieve the expected result and to understand the deviation of changes in different parameters situation at various conditions respectively. The ideal parameters are used to study the models behaviour. It is also compared the behaviour of current-voltage and power-voltage by comparing with produced maximum power point though it is a challenge to optimize the output with real time simulation. The whole working process is also discussed and an experimental work is also done to get the closure and insight about the produced model and to decide upon the validity of the discussed model.

Single diode model parameters analysis of photovoltaic cell

In this paper it is proposed to obtain enhanced and more efficient parameters model from generalized five parameters (single diode) model of PV cells. The paper also introduces, describes and implements a seven parameter model for photovoltaic cell (PV cell) which includes two internal parameters and five external parameters. To obtain the model the mathematical equations and an equivalent circuit consisting of a photo generated current source, a series resistor, a shunt resistor and a diode is used. The fundamental equation of PV cell is used to analyse and best fit the observation data. Especially bisection iteration method is used to obtain the expected result and to understand the deviation of changes in different parameters situation at various conditions respectively. The produced model can be used of measuring and understanding the actions of photovoltaic cells for certain changes and parameters extraction. The effect is also studied with I-V and P-V characteristics of PV cells though it is a challenge to optimize the output with real time simulation. The working procedure is also discussed and an experiment presented to get the closure and insight about the produced model and to decide upon the model validity. At the end, we observed that the result of the simulation is very close to the produced model.