Wind plant owners are facing increasing pressure to manage and reduce operations and maintenance (O&M) costs, optimize the performance of their wind projects, and foresee impending component failures. At the same time, an increasingly sophisticated data technology ecosystem of sensors, condition monitoring systems (CMSs), turbine optimization platforms, and predictive analytics (PA) software is being adopted industrywide. Collecting the data required and making useful sense of it, however, is a formidable challenge given the sheer volume of data that can be captured from today’s highly instrumented multi-megawatt wind turbines.
What Navigant Research’s findings suggest is that not all wind plant owners have maximized the use of data analytics systems. This conclusion skews toward smaller and midsize wind plant owners or owners of any size operating older wind turbines. The O&M budgets of operational wind plants are thin; many have limited funds to purchase aftermarket retrofit CMS and turbine optimization platforms. Yet, many also see cost savings and risk management upside with the variety of offerings on the market today. Thus, there is considerable room for further deployment of data collection and analysis systems across the market.
This Navigant Research report focuses on data collection within the wind power industry as asset owners seek to improve wind plant performance and manage and minimize O&M costs. The study analyzes the data collection strategies of anonymized wind plant owners surveyed as part of Navigant’s Generation Knowledge Service (GKS) Wind Benchmarking service. It also examines how and when CMS and PA platforms are being deployed in the marketplace for new and operational turbines. Recommendations are provided on how wind turbine OEMs other stakeholders should explore the growing addressable market for data collection and analysis platforms.
Key Questions Addressed:
- What are the primary data points captured and analyzed on wind turbines and wind plants?
- What areas of data collection and analysis are more important than others?
- What proportion of surveyed wind plant owners are using advanced pattern recognition (APR) systems?
- How many surveyed wind plant owners are using platforms to address turbine and site performance optimization?
- How many surveyed wind plant owners are using a platform to address turbine lifecycle reliability and availability?
- What proportion of surveyed wind plant owners are using enterprise resource planning (ERP) systems?
- What are some of the value proposition differences between solutions offered by wind turbine manufacturers and independent vendors?
Who needs this report?
- Wind turbine manufacturers
- Wind power plant owners
- Data analytics vendors
- Condition monitoring equipment manufacturers
- Wind turbine component suppliers
- Government agencies, policymakers, and researchers
- Investor community
Table of Contents
Mining Wind Plant Performance Data to Optimize O&M
Vendor Overview Shows Diversity in Type and Approach to O&M
Navigant GKS Wind Benchmarking Data Is a Starting Point
Peer Group Characteristics Reflect Smaller Projects, but Major Manufacturers
The Nine Most Important Data Points for Wind Plant O&M Optimization
SCADA Systems Are the Nervous System of the Wind Turbine
GADS Data Collection Became Mandatory in 2018
Engineering Reports Data Collection: Key Studies
Room for Automation in Oil and Grease Analysis Data Collection
Vibration Monitoring Data Collection: Critical Drivetrain Analysis
Met Tower Data Collection: Searching for Instrument Misalignment
Substation Data Collection: Central Vulnerability Point
Work Orders Collection: Cataloguing for Cost Savings
Blade Inspection Data Collection: Proven Techniques versus Drones
Some Wind Plant Owners Are Leaving Valuable Data on the Table
Summary of Four Surveyed Areas of Wind Plant Data Collection and Analysis
Using APR or Other Statistical Modeling Methods Is Vital
A Notable Percentage of Vendors Benefit from ERP Systems
Platforms Can be Used to Address Turbine and Site Performance Optimization
Data Platforms Can Help to Address Turbine Lifecycle Reliability and Availability
Large Addressable Market Exists for All Parties in This Data Technology Ecosystem
Wind Plant Stakeholders Should Invest in Data Analytics
List of Tables and Figures
- Common Wind Turbine Components and Subcomponents Monitored
- Select Data Collection Segments and Collection Procedures
- Use of APR or Other Statistical Modeling Methods
- Use of an ERP System
- Use of Platforms to Address Turbine and Site Performance Optimization
- Use of a Platform to Address Turbine Lifecycle Reliability and Availability