FAILURE RATE AND REPAIR TIME ANALYSIS OF OFFSHORE WIND TURBINES

被引:0
作者
Guarda, Luis Felipe [1 ]
Terra, Leonardo [1 ]
Martins, Marcelo Ramos [1 ]
机构
[1] Univ Sao Paulo, Anal Evaluat & Risk Management Lab LabRisco, Sao Paulo, Brazil
来源
PROCEEDINGS OF ASME 2023 42ND INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2023, VOL 2 | 2023年
关键词
Offshore Wind Turbine; Reliability; Failure Rate; Repair Rate; COST;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Offshore wind turbines have several advantages over onshore turbines, such as greater efficiency and the ability to generate greater amounts of energy in a more constant manner. Despite this, the Levelized Cost of Energy of onshore wind turbines is still lower than for offshore wind turbines, and the main reason for this difference comes from the operating and maintenance costs. For this reason, optimize the operating and maintenance costs of offshore wind turbines represents one of the biggest opportunities to improve the offshore wind industry. However, the lack of failure rates and repair times for the new and bigger offshore turbines prevents the feasibility to develop new reliability analysis that could improve the offshore wind turbines costs. To tackle this problem, this work presents a comparison between the 7MW Levenmouth Demonstration Turbine and a theoretical wind turbine obtained from a literature review, contrasting in this way a data-based analysis against the information available in the literature. The obtained results show the feasibility of data-based analysis and Monte Carlo Simulation comparison to failure rates validation and transfer knowledge from the onshore to offshore wind turbine industry.
引用
收藏
页数:8
相关论文
共 8 条
  • [1] Levelised cost of energy - A theoretical justification and critical assessment
    Aldersey-Williams, J.
    Rubert, T.
    [J]. ENERGY POLICY, 2019, 124 : 169 - 179
  • [2] [Anonymous], 2014, I. S. O. 14026
  • [3] Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines
    Carroll, James
    McDonald, Alasdair
    McMillan, David
    [J]. WIND ENERGY, 2016, 19 (06) : 1107 - 1119
  • [4] RAM analysis of dynamic positioning system: An approach taking into account uncertainties and criticality equipment ratings
    Clavijo, Maria, V
    Schleder, Adriana M.
    Droguett, Enrique Lopez
    Martins, Marcelo R.
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2022, 236 (06) : 1104 - 1134
  • [5] Reference Cases for Verification of Operation and Maintenance Simulation Models for Offshore Wind Farms
    Dinwoodie, Iain
    Endrerud, Ole-Erik V.
    Hofmann, Matthias
    Martin, Rebecca
    Sperstad, Iver Bakken
    [J]. WIND ENGINEERING, 2015, 39 (01) : 1 - 14
  • [6] Herzig G., 2022, Global Offshore Wind Report 2021, P1
  • [7] Fault Tree Analysis of floating offshore wind turbines
    Kang, Jichuan
    Sun, Liping
    Guedes Soares, C.
    [J]. RENEWABLE ENERGY, 2019, 133 : 1455 - 1467
  • [8] Offshore wind turbine operations and maintenance: A state-of-the-art review
    Ren, Zhengru
    Verma, Amrit Shankar
    Li, Ye
    Teuwen, Julie J. E.
    Jiang, Zhiyu
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 144