Forecasting the Maturity of Alternate Wind Turbine Technologies Through Patent Analysis

被引:0
|
作者
Phan, Kenny [1 ]
Daim, Tugrul [1 ]
机构
[1] Portland State University, Portland
来源
Green Energy and Technology | 2013年 / 60卷
关键词
Wind turbines;
D O I
10.1007/978-1-4471-5097-8_8
中图分类号
学科分类号
摘要
The future of energy can't be solely depending on fossil fuel. Fossil fuel availability is limited and the price is volatile. The solution to the future is renewable energy. One of the widest recognized renewable energy is wind. Wind energy is considered clean, zero-carbon emitting energy source, original, diversified and show promising development in the future. This paper explored new technology in wind energy. The new technologies identified were Jet Engine Wind Turbine, Gearless Wind Turbine, Airborne Wind Turbine, Magnus Wind Turbine and LIDAR wind turbine. Those technologies are based on Horizontal Axis principle. Technology forecasting by using bibliometrics analysis, patent analysis, and growth curve were integrated in this paper. The results indicate that jet engine wind turbines are currently in early maturity stage, while gearless wind turbines, LIDAR wind turbines and Magnus wind turbines are at the end of growth curve. Airborne wind turbines are currently in the very end of growth curve and almost move to maturity stage. The findings suggest that all of those wind turbines are expected to be produced started in 2011 or 2012 and implemented widely around 2014-2016.
引用
收藏
页码:189 / 211
页数:22
相关论文
共 50 条
  • [41] Time and Frequency Domain Analysis of Wind Turbine Towers Under Spatially Correlated Wind Field
    de Morais, Dodani Renan
    Foschiera, Lucas Carminatti
    Gomes, Herbert Martins
    INTERNATIONAL JOURNAL OF STEEL STRUCTURES, 2021, 21 (06) : 2028 - 2044
  • [42] Time and Frequency Domain Analysis of Wind Turbine Towers Under Spatially Correlated Wind Field
    Dodani Renan de Morais
    Lucas Carminatti Foschiera
    Herbert Martins Gomes
    International Journal of Steel Structures, 2021, 21 : 2028 - 2044
  • [43] Data-driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenance
    Pandit, Ravi Kumar
    Kolios, Athanasios
    Infield, David
    IET RENEWABLE POWER GENERATION, 2020, 14 (13) : 2386 - 2394
  • [44] Wind Field-Based Short-Term Turbine Response Forecasting by Stacked Dilated Convolutional LSTMs
    Woo, Seongcheol
    Park, Junyoung
    Park, Jinkyoo
    Manuel, Lance
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (04) : 2294 - 2304
  • [45] Analysis of the Design Parameters of a Climbing Robot for Wind Turbine Towers Inspection
    Magdy, Mahmoud
    Hatem, Abdallah
    Mostafa, Noha A.
    2024 5TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, ROBOTICS AND CONTROL, AIRC 2024, 2024, : 102 - 106
  • [46] Condition Monitoring of Wind Turbine Generators Using SCADA Data Analysis
    Jin, Xiaohang
    Xu, Zhuangwei
    Qiao, Wei
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (01) : 202 - 210
  • [47] Operational Modal Analysis of Wind Turbine Structures: A Maximum Likelihood Approach
    Cara, Javier
    Magalhaes, Filipe
    PROCEEDINGS OF THE 10TH INTERNATIONAL OPERATIONAL MODAL ANALYSIS CONFERENCE, IOMAC 2024, VOL 2, 2024, 515 : 579 - 586
  • [48] The analysis of settlement and interal force of pile groups wind turbine foundation
    Shenhua Guohua Energy Investment Corporation Limited, Beijing
    100007, China
    Taiyangneng Xuebao, 7 (1664-1670):
  • [49] Modelbased Validation of Gridconnected DFIGbased Wind Turbine for Harmonic and Interharmonic Analysis
    Hernandez-Mayoral, E.
    Mina-Antonio, J. D.
    Torres-Garcia, V
    Iracheta-Cortez, R.
    IEEE LATIN AMERICA TRANSACTIONS, 2023, 21 (06) : 758 - 766
  • [50] Design Analysis of Direct-Driven PMSG in Wind Turbine Application
    Htet, Theint Zar
    Zhao, Zhengming
    Gu, Qing
    2016 INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SCIENCE (ICSRS 2016), 2016, : 7 - 11