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メーターデータマネジメント(MDM)の登場:スマートグリッド情報戦略レポート

The Emergence of Meter Data Management (MDM): A Smart Grid Information Strategy Report

発行 Greentech Media Inc. 商品コード 214831
出版日 ページ情報 英文
納期: 即日から翌営業日
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メーターデータマネジメント(MDM)の登場:スマートグリッド情報戦略レポート The Emergence of Meter Data Management (MDM): A Smart Grid Information Strategy Report
出版日: 2010年08月09日 ページ情報: 英文

当商品の販売は、2016年07月01日を持ちまして終了しました。

概要

当レポートは、メーターデータマネジメント(MDM)の導入概要と技術的因子、北米におけるスマートメーターとAMIインフラの普及動向などをまとめ、概略以下の構成でお届けします。

第1章 主な調査結果

第2章 MDM計画に関する考察

  • MDMとは
  • どういう問題を解決しようとしているか
  • メーターデータ管理戦略とは
  • 市場の成熟度は
  • MDMを効果的に導入する鍵とは

第3章 MDM市場

  • 市場促進因子
  • 住宅用AMIの登場がMDM市場を破壊
  • 一般的MDM価格モデル
  • 市場規模
  • ベンダー戦略

第4章 メーターデータマネジメントの定義:分類と能力

  • GTM MDM分類を通じたデータフロートレーシング
  • メーターデータレポジトリ機能
  • メーターデータレポジトリ技術要件
  • 最新メーターインフラ機能とデータ
  • 消費者参加型のスマートグリッド応用
  • メーターデータマネジメントプラットフォーム
  • 負荷・エネルギー管理スマートグリッド
  • ユーティリティ用スマートグリッド
  • 意思決定サポートスマートグリッド

第5章 MDRの課題と限界

  • データベースのデザインと性能
  • データの混雑と信頼性の低いリード
  • 基準の不足
  • 熟練した技術者の不足

第6章 導入におけるベストプラクティス

  • スマートグリッド戦略と計画からの開始
  • データアーキテクチャを用いたソリューションデザイン
  • 持続・待ち時間、ビジネスルールによるサポートコンポーネントの特定
  • 段階的ロードマップの構築
  • クリティカルマスに迅速に到達するための合理的AMI導入
  • 消費者に対する教育と関与
  • 事例を用いた要求事項の促進
  • サービス志向のアーキテクチャーブループリントの策定

第7章 ユーティリティプロファイル

  • Pacific Gas & Electric
  • Westar Energy

第8章 ベンダーランキングと格付け

  • 全体的格付け
  • ベンダー特性比較チャート

第9章 ベンダープロファイル

  • eMeter
  • NorthStar Utilities Solutions
  • Ecologic Analytics
  • SAP MDUS
  • Energy ICT
  • Telvent
  • Hansen Technologies
  • Oracle
  • Aclara
  • OSISoft
  • Itron

付録

図表

目次

MDM strategies are evolving and are influenced by smart grid vision, goals and objectives. These factors drive business requirements that, in turn, define the types of data that need to be collected, where it needs to go, and the format it needs to be in to make it usable. An organization with a coherent MDM platform strategy will be better equipped to take advantage of their smart grid capabilities and make informed technology choices down the road. The Emergence of Meter Data Management (MDM): A Smart Grid Information Strategy Report analyzes the best plans for MDM deployment and presents technology drivers and inhibitors as MDM strives toward significant growth along side the rollout of smart meters and AMI infrastructure in North America.

Figure 2-1: Smart Grid Architecture from an AMI Data Management Perspective

source: GTM Research

One of the initial hurdles to MDM' s breakthrough has been identifying the technology' s role and value to utilities. GTM Research' s report begins by presenting a definitive taxonomy of MDM' s core components - data repositories, enterprise integration platforms and enhanced smart meter functionality. The report then pinpoints MDM market opportunity and forecasts the current market to grow by over 300% from $54 million in 2009 to $221 million by 2014. In addition, GTM Research profiles and ranks the top MDM vendors vying for this market, including Aclara, Ecologic Analytics, EnergyICT, eMeter, Hansen Technologies, Itron, NorthStar Utilities Solutions, Oracle, OSIsoft, SAP MDUS and Telvent.

The Emergence of Meter Data Management (MDM): A Smart Grid Information Strategy Report is an incisive analysis of first-wave MDM deployment in North America, and will be integral to define MDM' s functionality, value and competitive market.

Figure 8-2: Selection from Vendor Feature comparison chart

source: GTM Research
Note: Complete version of chart available in section 8 of the report.

SELECT KEY FINDINGS

  • Meter data management (MDM) is necessary to turn the data from smart grid infrastructures into intelligence
  • The GTM Research MDM Taxonomy establishes a rigorous and complete technology framework composed of:
    • a. Meter data repository (MDR) - the database for storing meter data,
    • b. Meter data management (MDM) - a platform of data communication and management services that supports enterprise meter data needs, and
    • c. Smart grid applications - existing utility applications enhanced by smart meter data and entirely new applications enabled by smart meter data.
  • A well-articulated smart grid strategy is the best starting point for MDM. A strategy should include smart grid goals and business requirements and identify constituents, the decisions they need to make, and the meter data they need to make them.
  • Organizations that implement AMI without MDM are having problems delivering basic functionality and implementing smart grid applications. Designing and rolling out MDM systems in parallel with, or prior to, AMI systems is a best practice that improves overall chances for success
  • Flexible service-oriented architectures (SOA) provide a platform for building flexible and robust smart grid applications using meter data. An MDM SOA turns data access and delivery into a common service, enabling any application to subscribe for relevant data.
  • The most important meter data repository (MDR) business process is the meter-to-cash cycle. An MDR creates billing determinants by validating and, if necessary, automatically estimating each meter read.
  • The collection of meter data enables new and better business processes that cut across departments and organizational boundaries. Examples include improved outage management, load forecasting, market settlements, and distribution sizing. Implementing MDM is as much about business process reengineering as it is about technology.
  • Pricing analysts need access to historical meter data to build rate plans that win regulatory approval, to help customers save money, and to understand the revenue implications of new rate plans and timeof-use programs like residential demand response (DR), critical peak pricing (CPP) rebates and time of-use-pricing (ToU). Customers also need data access to gain comfort with new programs and make better power consumption decisions.
  • MDM can serve as an integration hub that replaces expensive static point-to-point application connections.
  • Select MDM vendors that will forge long-term relationships and provide expertise. However, do not cede control to your vendor. Create your own smart grid roadmap that establishes control over direction and strategy.
  • Vendors need to expand their offerings to create new growth opportunities, and MDM provides a springboard for new applications like consumer web portals, demand response, and outage management. Vendor MDM vision and road maps are important both for vendor success and for satisfying emerging customer needs.

Table of Contents

1. Key Findings

2. MdM Planning considerations

  • 2.1. What is MDM?
  • 2.2. What problem are we trying to solve?
  • 2.3. What is our strategy for managing meter data?
  • 2.4. How mature is the market?
  • 2.5. What are the keys to successful MDM Deployment?

3. the MdM Market

  • 3.1. Market Drivers
  • 3.2. Emergence of Residential AMI Causes MDM Market Disruption
  • 3.3. Typical MDM Pricing Models
  • 3.4. Market Size
  • 3.5. Vendor Strategies

4. defining Meter data Management: taxonomy and capabilities

  • 4.1. Tracing Data Flows Through the GTM MDM Taxonomy
  • 4.2. Meter Data Repository Functions
  • 4.3. Meter Data Repository Technical Requirements
  • 4.4. Advanced Meter Infrastructure Functions and Data
  • 4.5. Consumer Participation Smart Grid Applications
  • 4.6. The Meter Data Management Platform
  • 4.7. Load and Energy Management Smart Grid Applications
  • 4.8. Utility Operations Smart Grid Applications
  • 4.9. Decision Support Smart Grid Applications

5. MDR challenges and limitations

  • 5.1. Database Design and Performance
  • 5.2. Data Congestion and Unreliable Reads
  • 5.3. Lack of Standards
  • 5.4. Lack of Skilled Technical Talent

6. Best Practices in deployment

  • 6.1. Begin with a Smart Grid Strategy and Plan
  • 6.2. Use Data Architectures to Design Solutions
  • 6.3. Identify Supporting Components with Persistence, Latency and Business Rules
  • 6.4. Build a Phased Roadmap
  • 6.5. Streamline AMI Rollout to Quickly Reach Critical Mass
  • 6.6. Develop Cross-Functional Business Processes
  • 6.7. Educate and Engage Consumers
  • 6.8. Drive Requirements With Use Cases
  • 6.9. Create a Service-Oriented Architecture Blueprint
  • 6.10. Future-Proof and Anticipate Vaporware and Broken Promises

7. Utility Profiles

  • 7.1. Pacifi c Gas & Electric
  • 7.2. Westar Energy

8. Vendor Rankings and Ratings

  • 8.1. Overall Ratings
  • 8.2. Vendor Feature Comparison Chart

9. Vendor Profiles

  • 9.1. eMeter
  • 9.2. NorthStar Utilities Solutions
  • 9.3. Ecologic Analytics
  • 9.4. SAP MDUS
  • 9.5. Energy ICT
  • 9.6. Telvent
  • 9.7. Hansen Technologies
  • 9.8. Oracle
  • 9.9. Aclara
  • 9.10. OSISoft
  • 9.11. Itron
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