ISSN: 2277-1891

Jornal Internacional de Inovações, Pensamentos e Ideias Avançadas

Acesso livre

Nosso grupo organiza mais de 3.000 Séries de conferências Eventos todos os anos nos EUA, Europa e outros países. Ásia com o apoio de mais 1.000 Sociedades e publica mais de 700 Acesso aberto Periódicos que contém mais de 50.000 personalidades eminentes, cientistas de renome como membros do conselho editorial.

Periódicos de acesso aberto ganhando mais leitores e citações
700 periódicos e 15 milhões de leitores Cada periódico está obtendo mais de 25.000 leitores

Abstrato

Wind Science and Engineering New Certificates of Approval and Solutions for Offshore Wind Turbine Installation Proposed

Yusi Shih

The most critical concerns during offshore wind turbine installation are wind conditions. Wind can cause safety issues and long periods of waiting, resulting in project delays and massive costs. The offshore wind energy industry relies on weather forecast reports, but the reports are frequently found to be inconsistent, particularly in wind speed.The decision to perform installation work is then difficult [1-15]. The current paper proposes a solution to analyse the similarity degree of the two reports, as well as predict the next opening of the weather window and its periodicity, by utilising the concept of time lag in Cross-Correlation and Pearson Correlation Coefficient. Not only must the reports be aligned, but wind types must also be precisely judged. The paper presents a new point of view .The most critical concerns during offshore wind turbine installation are wind conditions. Wind can cause safety issues and long periods of waiting, resulting in project delays and massive costs. The offshore wind energy industry relies on weather forecast reports, but the reports are frequently found to be inconsistent, particularly in wind speed. The decision to perform installation work is then difficult. The current paper proposes a solution to analyse the similarity degree of the two reports, as well as predict the next opening of the weather window and its periodicity, by utilising the concept of time lag in Cross-Correlation and Pearson Correlation Coefficient. Not only must the reports be aligned, but wind types must also be precisely judged. The paper presents a new point of view.