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風力発電所のデータ収集と最大限の活用

Capturing and Maximizing Wind Power Plant Data

 

出版社 出版年月電子媒体価格ページ数図表数
Navigant Research
ナビガントリサーチ
2018年3月US$1,800
1-5ユーザライセンス(PDF)
15 6

サマリー

米国調査会社ナビガントリサーチ(Navigant Research)の調査レポート「風力発電所のデータ収集と最大限の活用」は、風力発電所の資産所有者が性能改善や、O&Mコスト(運用と整備の費用)を最小限に抑えるための、風力発電産業のデータ収集に注目している。ナビガントリサーチの“Generation Knowledge Service (GKS)の風力発電ベンチマーキングサービス”の一環として調査した匿名の風力発電所所有者のデータ収集戦略を分析している。新規や稼動中のタービンの市場で、状況監視システムや予測分析プラットフォームが、何時どのようにして導入されるかについても記載している。風力タービンOEMなどのステークホルダーが、ますます拡大するデータ収集や解析プラットフォームの市場をどのようにとらえるべきかについての助言も記載している。

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


目次

Spark

Context

Recommendations

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

 

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プレスリリース

[プレスリリース原文]

A Growing Market for Data Collection and Analysis Systems Exists Across the Global Wind Industry

Turbine manufacturers should continue to sell and invest in data analytics, while big wind plant owners can acquire in-house assets to maximize savings                                           

May 10, 2018

A new report from Navigant Research examines data collection within the wind power industry as asset owners seek to improve wind plant performance and manage operations and maintenance (O&M) costs.

Today’s wind plant owners face increasing pressure to optimize the performance of their wind projects, foresee impending component failures, and grow O&M savings. An increasingly sophisticated data technology ecosystem of sensors, condition monitoring systems (CMSs), turbine optimization platforms, and predictive analytics (PA) software can provide cost savings and risk management for plants large and small.  According to a new report from Navigant Research, there is considerable room for further deployment of data collection and analysis systems across the market.

“There is a growing addressable market for data collection and analysis platforms in the existing US and broader global wind fleet because not all wind plant owners have maximized the use of such systems,” says Jesse Broehl, senior research analyst with Navigant Research. “Where there is room for more adoption is with advanced pattern recognition (APR) or other statistical modeling methods or platforms to address turbine and site performance optimization.”

For industry players looking to fill gaps in the market or streamline costs, Navigant Research recommends wind turbine manufacturers continue to sell and invest in data analytics. Third-party data analytics vendors should stress their independence and target opportunities at the turbine pre-end-of-warranty stage. Wind plant owners not already doing so should test and evaluate the data analytics offerings and big wind plant owners should consider acquiring in-house assets to maximize savings.

The report, Capturing and Maximizing Wind Power Plant Data, 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. The GKS peer group includes 9.3 GW from a variety of turbine models, plant sizes, ages, and O&M contract types. The results show what type of data is collected, how it is usually collected, and where there is room for data analytics growth. 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, wind plant owners and other stakeholders should explore the growing addressable market for data collection and analysis platforms.

 

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