株式会社グローバルインフォメーション
TEL: 044-952-0102
表紙
市場調査レポート

オンショア風力発電向け運転・整備 (O&M) 市場の戦略的構成

WEU Onshore O&M Strategy Configuration Report 2015

発行 Wind Energy Update 商品コード 327823
出版日 ページ情報 英文 130 Pages; 43 Figures; 99 Tables
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=115.18円で換算しております。
Back to Top
オンショア風力発電向け運転・整備 (O&M) 市場の戦略的構成 WEU Onshore O&M Strategy Configuration Report 2015
出版日: 2015年04月27日 ページ情報: 英文 130 Pages; 43 Figures; 99 Tables
概要

当レポートでは、全世界のオンショア (陸上) 風力発電向け運転・整備 (以下O&M) サービス市場について分析し、全体的な市場規模・構造や、地域別・サービス内容別・運用形態別の詳細構造・見通し、今後の市場で生じうる事態、コスト効率的運用のための戦略などについて調査・考察しております。

エグゼクティブ・サマリー

分析手法

第1章 O&M市場の概要・規模・現状

  • 風力発電市場の見通し
    • 全世界の設備容量
      • 主要国市場の現状
    • 世界市場の将来展望
  • 世界の主要企業
    • オペレーター
    • オーナー
    • タービンメーカー
  • タービンのサイズ
  • O&M市場
    • 風力発電所向けO&M市場の規模
    • 保証状態
    • O&M市場の傾向

第2章 O&M市場のスコアカード

  • O&Mサービスのオプション
    • メーカー・EOWによるフルサービス契約
    • 独立系サービスプロバイダー
    • 自社O&M
    • テーパード (ハイブリッド)
  • 市場スコアカードの手法
    • 市場の即応性
      • 市場の強み
      • 市場の可能性
      • 操業リスク
      • ビジネス展開の容易化
      • O&Mサービス環境
    • サービス市場戦略の持続可能性
  • O&M市場のスコアカード
    • 北米
      • 米国
      • カナダ
      • メキシコ
    • 南米
    • 北欧
      • 英国
      • デンマーク
      • スウェーデン
    • 西欧
      • ドイツ
      • フランス
    • 東欧
      • ポーランド
      • トルコ
      • ルーマニア
    • 南欧
      • スペイン
      • イタリア
    • アジア太平洋地域
      • 中国
      • インド
      • オーストラリア
    • アフリカ・中東
      • 南アフリカ
  • O&Mサービス市場のサマリー

第3章 資産整備戦略のスコアカード

  • 整備戦略
    • 事後対応型 (調整型) 整備
    • 予防型 (時期ベース) 整備
    • 予見的整備
      • 性能モニタリング (非侵襲性状態開始)
      • 条件ベース整備
      • 信頼性ベース整備 (リスクベース)
    • 改善型整備
  • 整備スコアカードの手法
    • 失敗のシナリオ
    • モデルのパラメーター
      • 臨時コスト要因
      • サプライチェーン要因
      • 状態監視システム (CMS) 要因
      • 追加的要因
  • 整備戦略のスコアカード
    • 参照となる失敗シナリオ
    • ギヤボックスの高度な失敗シナリオ
    • ブレードの高度な失敗シナリオ
    • 発電機の高度な失敗シナリオ
  • 限界と今後の作業

第4章 結論

付録A

付録B

付録C

  • 遠隔地・スペア無しの場合
  • 近隣・スペア有りの場合

略語集

参考資料

図表一覧

目次

Harnessing operational performance data and consolidating service contract experiences to configure the best O&M response strategies for your assets

The 'Industrial Internet' and 'Big Data' are just a couple of the buzz words currently circulating the onshore wind O&M space. At the project or company level these terms refer to the act of extracting, interpreting and then reapplying asset data to intelligently and efficiently inform O&M strategies. At the industry level these terms speak of a collective move towards greater data transparency and inter-market and inter-company knowledge transfers to facilitate the establishment of O&M gold standards whilst propagating technical innovation and service cost-competiveness.

The WEU Onshore O&M Strategy Configuration Report 2015 is an ambitious and innovative data-centric exercise which moves through the market, project and component levels translating performance data, technical expertise and stakeholder insight into strategic directives. From market O&M readiness, to project service option suitability and optimum component maintenance response strategy, this comprehensive study provides clear and informed takeaways for you to utilize in the pursuit to optimize output and lower costs across the project lifecycle.

In this report you will find:

  • Market O&M readiness assessment: Quantify O&M readiness in 18 global markets to gain the insight you need for negotiating risk and optimizing revenue, derived from a weighted consideration of 5 key factors and 24 sub-factors.
  • Market service strategy suitability: Determine the ranking of O&M service provider suitability in 18 markets through our service scorecard which considers factors ranging from ease of doing business to wind technician training program score in each locality.
  • Major component maintenance response configuration: Based upon 576 configurations across 19 project scenarios identify the optimum maintenance response strategy for gearbox, generator and blade failure.
  • Complete access to scorecard data tables: Make the most of the extensive data generated within the report through our user-friendly reference tables and appendices, enabling you to continuously extract value beyond the scenarios detailed within the report body.

Benefits of the report:

The WEU Onshore O&M Strategy Configuration Report 2015 transforms Big Data into actionable intelligence, enabling you to:

  • Carve out the most cost-effective maintenance strategy for your capital intensive components - gearbox, generator and blades - to reduce failure rates, minimize downtime and increase asset performance output.
  • Construct an informed market entrance plan by utilizing our O&M readiness scorecard to identify market strengths and weaknesses and our service provider scorecard to gauge contract suitability in multiple locations
  • Understand how you can translate market and asset data into strategic directives by using are step-by-step guides to configuring market readiness, service provider suitability and component maintenance response strategy as a blueprint for your in-house analysis.

Table of Contents

EXECUTIVE SUMMARY

METHODOLOGY

1. O&M MARKET OVERVIEW, SIZING AND STATUS

  • 1.1. Wind Energy Market Outlook
    • 1.1.1. Global Installed Capacity
      • 1.1.1.1. Leading markets in 2014
    • 1.1.2. Worldwide Future Prospects
  • 1.2. Major Market Players
    • 1.2.1. Operators
    • 1.2.2. Owners
    • 1.2.3. Turbine Manufacturers
  • 1.3. Turbine Size
  • 1.4. O&M Market
    • 1.4.1. Wind Farm O&M Market Size
    • 1.4.2. Warranty Status
    • 1.4.3. O&M Market Trends

2. O&M MARKET SCORECARDS

  • 2.1. O&M Services Options
    • 2.1.1. OEMs and EOW Full-Service Contracts
    • 2.1.2. Independent Service Providers
    • 2.1.3. In-house O&M
    • 2.1.4. Tapered (Hybrid)
  • 2.2. Market Scorecard Methodologies
    • 2.2.1. Market Readiness
      • 2.2.1.1. Market Strength
      • 2.2.1.2. Market Potential
      • 2.2.1.3. Operational Risk
      • 2.2.1.4. Ease of Doing Business
      • 2.2.1.5. O&M Service Landscape
    • 2.2.2. Service Market Strategy Suitability
  • 2.3. O&M Market Scorecards
    • 2.3.1. North America
      • 2.3.1.1. US
      • 2.3.1.2. Canada
      • 2.3.1.3. Mexico
    • 2.3.2. South America
    • 2.3.3. Northern Europe
      • 2.3.3.1. UK
      • 2.3.3.2. Denmark
      • 2.3.3.3. Sweden
    • 2.3.4. Western Europe
      • 2.3.4.1. Germany
      • 2.3.4.2. France
    • 2.3.5. Eastern Europe
      • 2.3.5.1. Poland
      • 2.3.5.2. Turkey
      • 2.3.5.3. Romania
    • 2.3.6. Southern Europe
      • 2.3.6.1. Spain
      • 2.3.6.2. Italy
    • 2.3.7. Asia-Pacific
      • 2.3.7.1. China
      • 2.3.7.2. India
      • 2.3.7.3. Australia
    • 2.3.8. Africa and Middle East
      • 2.3.8.1. South Africa
  • 2.4. O&M Service Market Summary

3. ASSET MAINTENANCE STRATEGY SCORECARD

  • 3.1. Maintenance Strategies
    • 3.1.1. Reactive Maintenance (Corrective)
    • 3.1.2. Preventive (Time-Based) Maintenance
    • 3.1.3. Predictive Maintenance
      • 3.1.3.1. Performance monitoring (non-intrusive condition monitoring)
      • 3.1.3.2. Condition-based maintenance
      • 3.1.3.3. Reliability-based maintenance (risk-based)
    • 3.1.4. Improvement Maintenance
  • 3.2. Maintenance Scorecard Methodology
    • 3.2.1. Failure Scenarios
    • 3.2.2. Model Parameters
      • 3.2.2.1. Unscheduled Cost Factors
      • 3.2.2.2. Supply Chain Factors
      • 3.2.2.3. CMS Factors
      • 3.2.2.4. Additional Factors
  • 3.3. Maintenance Strategy Scorecard
    • 3.3.1. Reference Failure Scenario
    • 3.3.2. High Gearbox Failure Scenario
    • 3.3.3. High Blade Failure Scenario
    • 3.3.4. High Generator Failure Scenario
  • 3.4. Limitations and Future Work

4. CONCLUDING REMARKS

APPENDIX A

APPENDIX B

APPENDIX C

  • C.1. Remote Location, No Spare in Stock
  • C.2. Proximate Location, Spares in Stock

ABBREVIATIONS

BIBLIOGRAPHY

List of Figures

  • Figure 1: Worldwide wind energy capacity
  • Figure 2: Global annual cumulative wind installed capacity
  • Figure 3: Top 10 cumulative capacity markets, 2013 (left) vs 2014 (right)
  • Figure 4: Worldwide cumulative installed capacity breakdown
  • Figure 5: Top 10 new installed capacity in 2014
  • Figure 6: New Policies Scenario and forecast cumulative installed capacity by region
  • Figure 7: Top 15 operator around the world by installed capacity
  • Figure 8: Top 15 owner around the world by installed capacity
  • Figure 9: Largest volumes of publically-announced onshore turbine contracts (January-July 2014)
  • Figure 10: Top 10 turbine manufacturers
  • Figure 11: Evolution of wind turbine capacity and size in Germany
  • Figure 12: Evolution of installed capacity in US and average rated power, 2004-2014
  • Figure 13: Global growth of out-of-warranty O&M market
  • Figure 14: China's estimated cumulative off-warranty onshore wind capacity
  • Figure 15: How often do you re-evaluate your turbine O&M strategy throughout the lifecycle of your asset32
  • Figure 16: What do you anticipate will be the contract cost variation in your key market in the next two years
  • Figure 17: Which area is the O&M industry focusing on for 2015?
  • Figure 18: Which O&M service strategy do you believe is the best fit in the post-warranty period?
  • Figure 19: ABEEólica's cumulative wind capacity projections for Brazil
  • Figure 20: Wind energy job landscape in France across the value chain
  • Figure 21: O&M wind energy players in France and the territorial distribution of O&M wind jobs
  • Figure 22: OEM market share for wind farms in operation
  • Figure 23: OEM market share for wind farms under construction
  • Figure 24: Wind energy operator market share in Italy
  • Figure 25: Currently used maintenance strategies
  • Figure 26: Which O&M response approach do you tend to adopt in relation to a fleet of ageing wind turbines?
  • Figure 27: How would you best describe your approach towards O&M activities over the whole lifecycle of your assets?
  • Figure 28: Condition monitoring symptom and fault analysis and response process
  • Figure 29: In general do you tend to deploy condition monitoring systems (CMS) on your assets?
  • Figure 30: What kind of CMS do you typically deploy?
  • Figure 31: Strategic equation for reliability-based maintenance
  • Figure 32: Maintenance scenario considerations
  • Figure 33: Maintenance strategy scorecard workflow
  • Figure 34: P-F curve
  • Figure 35: Probability versus component condition indicator
  • Figure 36: Reference scenario strategy comparison, 3MW turbine
  • Figure 37: Reference scenario strategy comparison, 2MW turbine
  • Figure 38: High gearbox failure scenario strategy comparison, 3MW turbine
  • Figure 39: High gearbox failure scenario strategy comparison, 2MW turbine
  • Figure 40: High blade failure scenario strategy comparison, 3MW turbine
  • Figure 41: High blade failure scenario strategy comparison, 2MW turbine
  • Figure 42: High generator failure scenario strategy comparison, 3MW turbine
  • Figure 43: High generator failure scenario strategy comparison, 2MW turbine

List of Tables

  • Table 1: Worldwide cumulative installed capacity breakdown
  • Table 2: Top 10 turbine manufacturers worldwide
  • Table 3: Scorecard Market-Specific Regions and Countries
  • Table 4: Advantages and disadvantages of OEM service contracts
  • Table 5: Advantages and disadvantages of ISP service contracts
  • Table 6: Advantages and disadvantages of in-house maintenance
  • Table 7: Advantages and disadvantages of hybrid strategies
  • Table 8: Industry Metric Classes Considered
  • Table 9: O&M Market Readiness Scorecard Factors and Classes
  • Table 10: Capacity Factor Ranking and Weighing
  • Table 11: O&M Market Readiness Scorecard Weights (From WEU Onshore O&M Survey 2015)
  • Table 12: O&M Service Market Strategy Suitability Scorecard Factors and Classes
  • Table 13: O&M Service Market Strategy Suitability Scorecard Stakeholder Relevance Matrix
  • Table 14: US' O&M Market Readiness Scorecard
  • Table 15: US' O&M Service Market Strategy Suitability Scorecard
  • Table 16: Canada's O&M Market Readiness Scorecard
  • Table 17: Canada's O&M Service Market Strategy Suitability Scorecard
  • Table 18: Mexico's O&M Market Readiness Scorecard
  • Table 19:Mexico's O&M Service Market Strategy Suitability Scorecard
  • Table 20: Brazilian's O&M Market Readiness Scorecard
  • Table 21: Brazilian's O&M Service Market Strategy Suitability Scorecard
  • Table 22: UK's O&M Market Readiness Scorecard
  • Table 23: UK's O&M Service Market Strategy Suitability Scorecard
  • Table 24: Denmark's O&M Market Readiness Scorecard
  • Table 25: Denmark's O&M Service Market Strategy Suitability Scorecard
  • Table 26: Sweden's O&M Market Readiness Scorecard
  • Table 27: Sweden's O&M Service Market Strategy Suitability Scorecard
  • Table 28: Germany's O&M Market Scorecard
  • Table 29: Germany's O&M Service Market Strategy Suitability Scorecard
  • Table 30: France's O&M Market Readiness Scorecard
  • Table 31: France's O&M service market strategy suitability scorecard
  • Table 32: Poland's O&M market readiness scorecard
  • Table 33: Poland's O&M service market strategy suitability scorecard
  • Table 34: Turkey's O&M market readiness scorecard
  • Table 35: Turkey's O&M market strategy scorecard
  • Table 36: Romania's O&M Market Readiness Scorecard
  • Table 37: Romania's O&M service market strategy suitability scorecard
  • Table 38: Spain's market readiness scorecard
  • Table 39: Spain's O&M service market strategy suitability scorecard
  • Table 40: Italy's O&M market readiness scorecard
  • Table 41: Italy's O&M service market strategy suitability scorecard
  • Table 42: China's O&M market readiness scorecard
  • Table 43: China's O&M service market strategy suitability scorecard
  • Table 44: India's O&M market readiness scorecard
  • Table 45: India's O&M service market strategy suitability scorecard
  • Table 46: Australia's O&M market readiness scorecard
  • Table 47: Australia's O&M service market strategy suitability scorecard
  • Table 48: South Africa's O&M market readiness scorecard
  • Table 49: South Africa's O&M service market strategy suitability scorecard
  • Table 50: O&M market scorecards result summary
  • Table 51: Pros and cons of different maintenance strategies
  • Table 52: 20-year failure rate inputs for all scenarios
  • Table 53: Periodic maintenance cost and frequency
  • Table 54: Component cost assumptions
  • Table 55: Component downtime per failure assumptions (days)
  • Table 56: Average labor cost per failure assumptions
  • Table 57: Major component crane assumptions
  • Table 58: Average crane cost per failure assumptions
  • Table 59: Lead time assumptions
  • Table 60: Transportation time assumptions
  • Table 61: CMS costs
  • Table 62: Total failure cost for all gearbox failures for a given population.
  • Table 63: Gearbox CMS parameters for major failure modes*
  • Table 64: Compound gearbox CMS parameters
  • Table 65: Major component CMS parameter assumptions
  • Table 66: Additional failure cost due to secondary damage
  • Table 67: Economies of scale for CMS
  • Table 68: Farm parameters
  • Table 69: Periodic maintenance costs
  • Table 70: Component risk factors and failure scenario
  • Table 71: Supply chain factors
  • Table 72: Condition monitoring system (CMS) factors
  • Table 73: Major component lifetime O&M costs
  • Table 74: Scorecard output based on the lifetime cost comparison*
  • Table 75: Normalized scorecard result
  • Table 76: Case 1 - 3MW turbines, 630MW wind farm
  • Table 77: Case 1 - 2MW turbines, 420MW wind farm
  • Table 78: Case 1 - 1MW turbines, 210MW wind farm
  • Table 79: Case 2 - 3MW turbines, 315MW wind farm
  • Table 80: Case 2 - 2MW turbines, 210MW wind farm
  • Table 81: Case 2 - 1MW turbines, 105MW wind farm
  • Table 82: Case 3 - 3MW turbines, 210MW wind farm
  • Table 83: Case 3 - 2MW turbines, 140MW wind farm
  • Table 84: Case 3 - 1MW turbines, 70MW wind farm
  • Table 85: Case 4 - 3MW turbines, 105MW wind farm
  • Table 86: Case 4 - 2MW turbines, 70MW wind farm
  • Table 87: Case 4 - 1MW turbines, 35MW wind farm
  • Table 88: Case 5 - 3MW turbines, 630MW wind farm
  • Table 89: Case 5 - 2MW turbines, 420MW wind farm
  • Table 90: Case 5 - 1MW turbines, 210MW wind farm
  • Table 91: Case 6 - 3MW turbines, 315MW wind farm
  • Table 92: Case 6 - 2MW turbines, 210MW wind farm
  • Table 93: Case 6 - 1MW turbines, 105MW wind farm
  • Table 94: Case 7 - 3MW turbines, 210MW wind farm
  • Table 95: Case 7 - 2MW turbines, 140MW wind farm
  • Table 96: Case 7 - 1MW turbines, 70MW wind farm
  • Table 97: Case 8 - 3MW turbines, 105MW wind farm
  • Table 98: Case 8 - 2MW turbines, 70MW wind farm
  • Table 99: Case 8 - 1MW turbines, 35MW wind farm
Back to Top