| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 1.44 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
As mudanças climáticas, o aumento da poluição e as crescentes preocupações ambientais
colocam a humanidade diante de um problema energético. É nesse contexto que as
energias renováveis assumem um papel fundamental para alcançar a neutralidade
carbónica. Assim, para reduzir a utilização dos combustíveis fosseis é indispensável que
as fontes de energia renovável se afirmem como uma solução vantajosa e viável para a
produção de energia elétrica. Este aumento de produção de energia elétrica a partir de
fontes renováveis é vital para se cumprirem os vários acordos mundiais e europeus que
foram assinados com o propósito de atingir os desígnios assinados. A fonte de energia
renovável com o maior potencial no futuro é a energia solar. No entanto, para esta
energia se consolidar é necessário que as tecnologias fotovoltaicas sejam mais eficientes.
A presente dissertação tem como objetivo analisar uma série de fatores que influenciam
a determinação dos parâmetros e que caraterizam os respetivos modelos matemáticos.
Concretamente, os fatores determinantes que foram analisados foram: os modelos
matemáticos, as tecnologias PV, os métodos/algoritmos de otimização que foram
utilizados para simular o comportamento de uma célula ou módulo fotovoltaico e, por
último, a técnica aplicada para contornar a natureza implícita das equações que
caraterizam o respetivo modelo fotovoltaico.
Climate change, the increasing pollution, and growing environmental concerns place humanity in the face of an energetic problem. In this context, renewable energies play a key role in achieving carbon neutrality. Thus, in order to reduce the use of fossil fuels it is essential that renewable energy sources establish themselves as an advantageous and viable solution for the production of electricity. Increasing the production of electrical energy from renewable sources is crucial to meet the various global and European agreements that have been signed aiming the achievement of the proposed objectives. The renewable energy source with the highest potential for the future is solar energy. However, to consolidate this energy, photovoltaic technologies must be more efficient. The present dissertation aims to analyse a series of factors that influence the determination of the parameters that characterize the respective mathematical models. Specifically, the determining factors that have been analysed are: the mathematical models, the PV technologies, the optimization methods/algorithms that were used to simulate the behavior of a photovoltaic cell or module, and the technique applied to avoid the implicit nature of the equations that characterize the respective photovoltaic model.
Climate change, the increasing pollution, and growing environmental concerns place humanity in the face of an energetic problem. In this context, renewable energies play a key role in achieving carbon neutrality. Thus, in order to reduce the use of fossil fuels it is essential that renewable energy sources establish themselves as an advantageous and viable solution for the production of electricity. Increasing the production of electrical energy from renewable sources is crucial to meet the various global and European agreements that have been signed aiming the achievement of the proposed objectives. The renewable energy source with the highest potential for the future is solar energy. However, to consolidate this energy, photovoltaic technologies must be more efficient. The present dissertation aims to analyse a series of factors that influence the determination of the parameters that characterize the respective mathematical models. Specifically, the determining factors that have been analysed are: the mathematical models, the PV technologies, the optimization methods/algorithms that were used to simulate the behavior of a photovoltaic cell or module, and the technique applied to avoid the implicit nature of the equations that characterize the respective photovoltaic model.
Description
Keywords
Energia Renovável Métodos Meta-Heurísticos Modelos
Matemáticos Produção de Energia Tecnologias Fotovoltaicas