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Abstract(s)
O verdadeiro desempenho de um aerogerador é de difícil quantificação devido à natureza caótica e variável dos ventos. Para atenuar esta dificuldade, a indústria recorre a um processo designado «calibração do local», que tem vindo a ser refinado com sucessivas edições das normas IEC que o regem. Apresenta-se aqui, uma implementação do processo de calibração do local, segundo a mais recente edição da norma IEC que inclui o efeito da estabilidade atmosférica no desempenho dos aerogeradores. Os resultados são produzidos para um parque eólico real, na Turquia, comparando-se os resultados obtidos pelos métodos indicados na atual norma IEC 61400-12-1:2017 e pela norma anterior IEC 61400-12-1:2005. A norma de 2017, alterando de forma significativa a anterior de 2005, traz uma nova metodologia, que ao incluir mais fatores de influência do vento sobre a turbina, procura que os resultados do processo, que conduz à medição da curva de potência, se aproximem mais da realidade. O objetivo desta tese é o de averiguar o impacto destes fatores adicionais, algo ainda pouco explorado na literatura devido ao fato da nova norma ser ainda recente. Os resultados mostram diferenças significativas entre os métodos utilizados, tendo o do método da regressão linear, sido o que mais se aproximou do esperado.
The true performance of a wind turbine is difficult to quantify due to the chaotic and variable nature of the wind. In order to alleviate this difficulty, the industry uses a process called 'Site Calibration' which has been refined with successive editions of the IEC standards that govern it. An implementation of the site calibration process is presented here, according to the most recent edition of the IEC standard, which takes into account the effect of atmospheric stability on the performance of wind turbines. The results are produced for a real wind farm, in Turkey, comparing the results obtained by the methods indicated in the current standard IEC 61400-12-1:2017 and the previous standard IEC 61400-12-1:2005. The 2017 standard, significantly altering the previous one of 2005, brings a new methodology that, by taking into account more factors of influence of the wind on the turbine, seeks to improve the accuracy of power curve measurements. It is the objective of this thesis to investigate the impact of these factors, an aspect which has as yet received scant interest in published literature due to the young age of the new IEC standard. The results show significant differences between the methods used and the one that most approached to the expected result, was the most recent method of the linear regression.
The true performance of a wind turbine is difficult to quantify due to the chaotic and variable nature of the wind. In order to alleviate this difficulty, the industry uses a process called 'Site Calibration' which has been refined with successive editions of the IEC standards that govern it. An implementation of the site calibration process is presented here, according to the most recent edition of the IEC standard, which takes into account the effect of atmospheric stability on the performance of wind turbines. The results are produced for a real wind farm, in Turkey, comparing the results obtained by the methods indicated in the current standard IEC 61400-12-1:2017 and the previous standard IEC 61400-12-1:2005. The 2017 standard, significantly altering the previous one of 2005, brings a new methodology that, by taking into account more factors of influence of the wind on the turbine, seeks to improve the accuracy of power curve measurements. It is the objective of this thesis to investigate the impact of these factors, an aspect which has as yet received scant interest in published literature due to the young age of the new IEC standard. The results show significant differences between the methods used and the one that most approached to the expected result, was the most recent method of the linear regression.
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Keywords
Energia eólica Calibração do local Medição da curva de potência IEC 61400-12-1 Wind energy Site calibration Wind Turbine power curve measurement