Data-Driven wind turbine performance assessment and quantification using SCADA data and field measurements

Data-Driven wind turbine performance assessment and quantification using SCADA data and field measurements

Quantifying a wind turbine’s holistic, system-level power production efficiency in its commercial operating condition is one of the keys to reducing the levelized cost for energy of wind energy and thus contributing significantly to the Sustainable Development Goal 7.2: “By 2030, increase substantia...

Full description

Bibliographic Details
Main Authors:	Yu Ding, Sarah Barber, Florian Hammer
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-11-01
Series:	Frontiers in Energy Research
Subjects:	data driven field measurements machine learning power curve turbine performance analysis uncertainty quantification
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2022.1050342/full

Similar Items

Perspectives on SCADA Data Analysis Methods for Multivariate Wind Turbine Power Curve Modeling
by: Davide Astolfi
Published: (2021-05-01)

Multivariate SCADA Data Analysis Methods for Real-World Wind Turbine Power Curve Monitoring
by: Davide Astolfi, et al.
Published: (2021-02-01)

Uncertainty Quantification of the Effects of Blade Damage on the Actual Energy Production of Modern Wind Turbines
by: Francesco Papi, et al.
Published: (2020-07-01)

Automatic Threshold Setting and Its Uncertainty Quantification in Wind Turbine Condition Monitoring System
by: Kun S. Marhadi, et al.
Published: (2015-12-01)

Discussion of Wind Turbine Performance Based on SCADA Data and Multiple Test Case Analysis
by: Davide Astolfi, et al.
Published: (2022-07-01)

Advanced Methods for Wind Turbine Performance Analysis Based on SCADA Data and CFD Simulations
by: Francesco Castellani, et al.
Published: (2023-01-01)

A comprehensive review on enhancing wind turbine applications with advanced SCADA data analytics and practical insights
by: Ravi Pandit, et al.
Published: (2024-03-01)

Study on Obtaining Real Power Curve of Wind Turbines Using SCADA Data
by: Juchuan Dai, et al.
Published: (2022-07-01)

Parametric Curves Metamodelling Based on Data Clustering, Data Alignment, POD-Based Modes Extraction and PGD-Based Nonlinear Regressions
by: Victor Champaney, et al.
Published: (2022-06-01)

Data-Driven Damage Quantification of Floating Offshore Wind Turbine Platforms Based on Multi-Scale Encoder–Decoder with Self-Attention Mechanism
by: Musa Bashir, et al.
Published: (2022-11-01)

Nonstationarity in correlation matrices for wind turbine SCADA‐data
by: Henrik M. Bette, et al.
Published: (2023-08-01)

A SCADA-Data-Driven Condition Monitoring Method of Wind Turbine Generators
by: Lishu Wang, et al.
Published: (2022-01-01)

Power Curve Modeling for Wind Turbine Using Hybrid-driven Outlier Detection Method
by: Qi Yao, et al.
Published: (2023-01-01)

Uncertainty Quantification of Film Cooling Performance of an Industrial Gas Turbine Vane
by: Andrea Gamannossi, et al.
Published: (2019-12-01)

Fault Prediction and Diagnosis of Wind Turbine Generators Using SCADA Data
by: Yingying Zhao, et al.
Published: (2017-08-01)

Impact of blade structural and aerodynamic uncertainties on wind turbine loads
by: Paulo Gonzaga, et al.
Published: (2022-06-01)

Wind Turbine Anomaly Detection Based on SCADA Data Mining
by: Xiaoyuan Liu, et al.
Published: (2020-05-01)

AUTOMATED FAULT DETECTION OF WIND TURBINE GEARBOX USING DATA- DRIVEN APPROACH
by: Hemanth Mithun Praveen, et al.
Published: (2019-01-01)

SCADA Data-Based Support Vector Machine Wind Turbine Power Curve Uncertainty Estimation and Its Comparative Studies
by: Ravi Pandit, et al.
Published: (2020-12-01)

Investigation of the Pitch Load of Large-Scale Wind Turbines Using Field SCADA Data
by: Fan Zhang, et al.
Published: (2019-02-01)

QUANTIFICATION OF NUCLEAR DATA AND MANUFACTURING UNCERTAINTIES IN VERA
by: Sedota Christopher, et al.
Published: (2021-01-01)

A Data-Driven Diagnostic Framework for Wind Turbine Structures: A Holistic Approach
by: Simona Bogoevska, et al.
Published: (2017-03-01)

Study of Wind Turbine Fault Diagnosis and Early Warning Based on SCADA Data
by: Yilong Shi, et al.
Published: (2021-01-01)

Uncertainty Quantification of Neural Reflectance Fields for Underwater Scenes
by: Haojie Lian, et al.
Published: (2024-02-01)

Correlation Investigation of Wind Turbine Multiple Operating Parameters Based on SCADA Data
by: Huifan Zeng, et al.
Published: (2022-07-01)

Classification and Detection of Wind Turbine Pitch Faults Through SCADA Data Analysis
by: Peter Matthews, et al.
Published: (2013-01-01)

Analysis and comparison of turbulence models on wind turbine performance using SCADA data and machine learning technique
by: Jui-Hung Liu, et al.
Published: (2023-12-01)

Data-Driven Decentralized Algorithm for Wind Farm Control with Population-Games Assistance
by: Julian Barreiro-Gomez, et al.
Published: (2019-03-01)

Standardisation of wind turbine SCADA data for gearbox fault detection
by: David Ferguson, et al.
Published: (2019-06-01)

Aerodynamic Uncertainty Quantification of a Low-Pressure Turbine Cascade by an Adaptive Gaussian Process
by: Wenhao Fu, et al.
Published: (2023-12-01)

A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost
by: Dahai Zhang, et al.
Published: (2018-01-01)

Wind Turbine Anomaly Detection Using Mahalanobis Distance and SCADA Alarm Data
by: Jui-Hung Liu, et al.
Published: (2022-08-01)

Calculation and Analysis of Wind Turbine Health Monitoring Indicators Based on the Relationships with SCADA Data
by: Fan Zhang, et al.
Published: (2020-01-01)

Data-Driven Field Representations and Measuring Processes
by: Wanrong Hong, et al.
Published: (2024-01-01)

Research on Fault Diagnosis of Wind Turbine Based on SCADA Data
by: Yirong Liu, et al.
Published: (2020-01-01)

Wind Turbine Main Bearing Fault Prognosis Based Solely on SCADA Data
by: Ángel Encalada-Dávila, et al.
Published: (2021-03-01)

SCADA Data Analysis Methods for Diagnosis of Electrical Faults to Wind Turbine Generators
by: Francesco Castellani, et al.
Published: (2021-04-01)

A Compound Approach for Monitoring the Variation in Wind Turbine Power Performance with SCADA Data
by: Xin Wang, et al.
Published: (2024-03-01)

On Cointegration Analysis for Condition Monitoring and Fault Detection of Wind Turbines Using SCADA Data
by: Phong B. Dao
Published: (2023-03-01)

Study of Wind Turbine Fault Diagnosis Based on Unscented Kalman Filter and SCADA Data
by: Mengnan Cao, et al.
Published: (2016-10-01)