MX2021012043A - Metodo para estimar la vida util remanente de los componentes de un aerogenerador en funcionamiento. - Google Patents

Metodo para estimar la vida util remanente de los componentes de un aerogenerador en funcionamiento.

Info

Publication number
MX2021012043A
MX2021012043A MX2021012043A MX2021012043A MX2021012043A MX 2021012043 A MX2021012043 A MX 2021012043A MX 2021012043 A MX2021012043 A MX 2021012043A MX 2021012043 A MX2021012043 A MX 2021012043A MX 2021012043 A MX2021012043 A MX 2021012043A
Authority
MX
Mexico
Prior art keywords
operational
wind turbine
identify
states
data
Prior art date
Application number
MX2021012043A
Other languages
English (en)
Inventor
Adrijan Ribaric
Juan Gallego-Calderon
Espinosa De Monteros Mercedes Irujo
Original Assignee
Acciona Generacion Renovable S A
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Acciona Generacion Renovable S A filed Critical Acciona Generacion Renovable S A
Publication of MX2021012043A publication Critical patent/MX2021012043A/es

Links

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D7/00—Controlling wind motors 
    • F03D7/02—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/028—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor controlling wind motor output power
    • F03D7/0292—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor controlling wind motor output power to reduce fatigue
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2260/00—Function
    • F05B2260/84—Modelling or simulation
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00—Control
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/332—Maximum loads or fatigue criteria
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Wind Motors (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

Un método y un sistema para estimar la vida útil remanente de los componentes de un aerogenerador a partir de sus condiciones operativas reales posteriores a la puesta en servicio, mediante la utilización de un módulo de adquisición de datos configurado para medir los datos históricos reales de dicho aerogenerador en funcionamiento, y una unidad de detección de estado adicional configurada para identificar los estados históricos de funcionamiento, donde el método comprende la extracción de datos históricos desde el módulo de adquisición de datos en intervalos de tiempo, la identificación de estados operativos del aerogenerador, la validación de los estados operativos identificados, y la identificación de datos inciertos que no coinciden, posteriormente, el método simula un modelo de turbina para cada estado operativo identificado y condición de viento en cada intervalo de tiempo, y calcula una carga de fatiga equivalente para cada estado operativo y condición de viento.
MX2021012043A 2019-04-01 2019-04-01 Metodo para estimar la vida util remanente de los componentes de un aerogenerador en funcionamiento. MX2021012043A (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/EP2019/058207 WO2020200421A1 (en) 2019-04-01 2019-04-01 A method for estimating remaining useful life of components of an operational wind turbine

Publications (1)

Publication Number Publication Date
MX2021012043A true MX2021012043A (es) 2022-01-04

Family

ID=66092316

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2021012043A MX2021012043A (es) 2019-04-01 2019-04-01 Metodo para estimar la vida util remanente de los componentes de un aerogenerador en funcionamiento.

Country Status (14)

Country Link
US (1) US20220178353A1 (es)
EP (1) EP3947961B1 (es)
JP (1) JP7240527B2 (es)
CN (1) CN114423940A (es)
AR (1) AR118552A1 (es)
AU (1) AU2019438487A1 (es)
BR (1) BR112021019668A2 (es)
ES (1) ES2947834T3 (es)
MX (1) MX2021012043A (es)
PE (1) PE20212379A1 (es)
PL (1) PL3947961T3 (es)
PT (1) PT3947961T (es)
WO (1) WO2020200421A1 (es)
ZA (1) ZA202107702B (es)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11661919B2 (en) 2021-01-20 2023-05-30 General Electric Company Odometer-based control of a wind turbine power system
US11635060B2 (en) 2021-01-20 2023-04-25 General Electric Company System for operating a wind turbine using cumulative load histograms based on actual operation thereof
US11728654B2 (en) 2021-03-19 2023-08-15 General Electric Renovables Espana, S.L. Systems and methods for operating power generating assets
WO2023123685A1 (zh) * 2021-12-27 2023-07-06 北京金风科创风电设备有限公司 风力发电机组的寿命评估方法和装置
CN116412083A (zh) * 2021-12-29 2023-07-11 新疆金风科技股份有限公司 一种风力发电机组的控制方法、装置、设备及介质

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7895016B2 (en) 2009-08-31 2011-02-22 General Electric Company System and method for wind turbine health management
EP2710438B1 (en) * 2011-05-20 2022-02-09 Insight Analytics Solutions Holdings Limited Determining damage and remaining useful life of rotating machinery including drive trains, gearboxes, and generators
US20160010628A1 (en) 2014-07-10 2016-01-14 General Electric Company System and method for determining life of a wind turbine
US10683844B2 (en) * 2015-05-27 2020-06-16 Vestas Wind Systems A/S Control of a wind turbine taking fatigue measure into account
KR101706508B1 (ko) 2016-07-12 2017-02-16 한국에너지기술연구원 풍력 발전기의 피로 해석 및 등가하중 해석 시스템
EP3511567B1 (en) 2016-09-07 2021-06-16 Hitachi, Ltd. State monitoring device, system and method for wind power generating device
EP3906360A4 (en) * 2018-12-31 2022-10-12 Sentient Science Corporation METHODS AND SYSTEMS FOR PREDICTING RISK OF OBSERVABLE DAMAGE IN WIND TURBINE GEARBOX COMPONENTS
CN115700573A (zh) * 2021-07-23 2023-02-07 柴海棣 一种基于rbf神经网络的风电机组叶片寿命预测方法
CN115659738A (zh) * 2022-10-20 2023-01-31 内蒙古工业大学 一种风力机叶片疲劳寿命预测方法、系统、设备及介质
CN116070368A (zh) * 2023-01-09 2023-05-05 华北电力大学 一种海上风电机组高速轴承剩余寿命预测方法
CN117291113A (zh) * 2023-08-14 2023-12-26 太原重工股份有限公司 一种风力发电机组塔筒寿命预测方法、系统及装置
CN117077532A (zh) * 2023-08-24 2023-11-17 西安热工研究院有限公司 风电机组寿命预测的多模型融合方法

Also Published As

Publication number Publication date
AR118552A1 (es) 2021-10-20
JP2022530198A (ja) 2022-06-28
PE20212379A1 (es) 2021-12-23
EP3947961A1 (en) 2022-02-09
ZA202107702B (en) 2023-02-22
ES2947834T3 (es) 2023-08-21
US20220178353A1 (en) 2022-06-09
WO2020200421A1 (en) 2020-10-08
BR112021019668A2 (pt) 2021-12-14
EP3947961B1 (en) 2023-06-07
CN114423940A (zh) 2022-04-29
PT3947961T (pt) 2023-07-28
JP7240527B2 (ja) 2023-03-15
AU2019438487A1 (en) 2021-11-04
PL3947961T3 (pl) 2024-04-22

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