The state-of-the-art review of spectral analysis of Wind Spectrum Models

被引:1
|
作者
Saha, Taniya [1 ]
Karmakar, Somnath [1 ]
机构
[1] Natl Inst Technol Durgapur, Dept Civil Engn, Durgapur 713209, India
关键词
power spectral density; statistical theory; wind response spectrums; wind turbulence; TURBULENCE; SIMULATION; GUSTINESS; PRESSURE; BRIDGE;
D O I
10.12989/was.2024.39.5.329
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Wind spectrum models are pivotal in various fields, ranging from structural engineering to meteorology. This review meticulously examines the origination, development, and applications of five prominent theoretical models of wind spectra. Each model is scrutinised for its analytical expressions and underlying assumptions, providing a comprehensive understanding of their evolution over time. The journey commences with a historical overview, tracing the inception of these models and the seminal contributions that shaped their formulation. Subsequently, the development trajectory of each model is delineated, highlighting key advancements and refinements made in response to empirical observations and theoretical insights. In order to assess the practical efficacy of these models, real-field data has been subjected to spectral analysis using both Welch and FFT methods. Through rigorous comparative analysis, the performance of each spectrum model has been evaluated in terms of its ability to capture the complex dynamics of wind behaviour across different spatial and temporal scales. Moreover, this research highlights the evolution of wind spectrum modelling by elucidating the field's contemporary trends and emerging paradigms. Insights gleaned from this analysis deepen our understanding of atmospheric dynamics and inform the development of more robust and accurate wind spectrum models for diverse engineering and environmental applications. This review is a comprehensive compendium of wind spectrum models, offering invaluable insights into their historical development, theoretical underpinnings, practical applicability, and future prospects.
引用
收藏
页码:329 / 349
页数:21
相关论文
共 50 条
  • [1] Review and analysis for state-of-the-art NLP models
    Dikshit S.
    Dixit R.
    Shukla A.
    International Journal of Systems, Control and Communications, 2023, 15 (01) : 48 - 78
  • [2] A review of the state-of-the-art in wind-energy reliability analysis
    Alhmoud, Lina
    Wang, Bingsen
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 81 : 1643 - 1651
  • [3] Offshore wind energy - Review of the state-of-the-art
    Henderson, AR
    Morgan, C
    Barthelmie, R
    Smith, B
    Sorensen, HC
    Boesmans, B
    PROCEEDINGS OF THE TWELFTH (2002) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 1, 2002, : 494 - 498
  • [4] Wind tunnel tests for wind turbines: A state-of-the-art review
    He, Ruiyang
    Sun, Haiying
    Gao, Xiaoxia
    Yang, Hongxing
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 166
  • [5] A state-of-the-art review on the vibration mitigation of wind turbines
    Zuo, Haoran
    Bi, Kaiming
    Hao, Hong
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, 121
  • [6] Offshore wind energy in Europe - A review of the state-of-the-art
    Henderson, AR
    Morgan, C
    Smith, B
    Sorensen, HC
    Barthelmie, RJ
    Boesmans, B
    WIND ENERGY, 2003, 6 (01) : 35 - 52
  • [7] Large wind turbine generators: State-of-the-art review
    Bensalah, A.
    Benhamida, M. A.
    Barakat, G.
    Amara, Y.
    2018 XIII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2018, : 2205 - 2211
  • [8] Piles for offshore wind turbines: a state-of-the-art review
    Gavin, Kenneth
    Igoe, David
    Doherty, Paul
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GEOTECHNICAL ENGINEERING, 2011, 164 (04) : 245 - 256
  • [9] A state-of-the-art review on wind power deterministic prediction
    Tian, Zhongda
    WIND ENGINEERING, 2021, 45 (05) : 1374 - 1392
  • [10] Wind turbines and seismic hazard: a state-of-the-art review
    Katsanos, Evangelos I.
    Thons, Sebastian
    Georgakis, Christos T.
    WIND ENERGY, 2016, 19 (11) : 2113 - 2133