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Building a Digital Wind Farm.
Hewitt, Sam; Margetts, Lee; Revell, Alistair.
Afiliação
  • Hewitt S; School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, M13 9PL UK.
  • Margetts L; School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, M13 9PL UK.
  • Revell A; School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, M13 9PL UK.
Arch Comput Methods Eng ; 25(4): 879-899, 2018.
Article em En | MEDLINE | ID: mdl-30443152
ABSTRACT
The purpose of this paper is to provide a high level, holistic overview of the work being undertaken in the wind energy industry. It summarises the main techniques used to simulate both aerodynamic and structural issues associated with wind turbines and farms. The motivation behind this paper is to provide new researchers with an outlook of the modelling and simulation landscape, whilst highlighting the trends and direction research is taking. Each section summarises an individual area of simulation and modelling, covering the important historical research findings and a comprehensive analysis of recent work. This segregated approach emphasises the key components of wind energy. Topics range in geometric scales and detail, ranging from atmospheric boundary layer modelling, to fatigue and fracture in the turbine blades. More recent studies have begun to combine a range of scales and physics to better approximate real systems and provide higher fidelity and accurate analyses to manufacturers and companies. This paper shows a clear trend towards coupling both scales and physics into singular models utilising high performance computing system.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article