世界各国のリアルタイムなデータ・インテリジェンスで皆様をお手伝い

会員登録

マイページ

世界のグリッド運用のためのエッジコンピューティングと分散型インテリジェンスの市場分析と予測:高度計測インフラストラクチャー(AMI)、配電自動化、電圧・無効電力最適化、スマートインバータ、分散型エネルギー源(DER)の統合

Edge Computing and Distributed Intelligence for Grid Operations

AMI, Distribution Automation, Volt/VAR Optimization, Smart Inverters, and DER Integration: Global Market Analysis and Forecasts

 

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6月US$3,800
1-5ユーザライセンス(PDF+Excel)
50 44

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「世界のグリッド運用のためのエッジコンピューティングと分散型インテリジェンスの市場分析と予測:高度計測インフラストラクチャー(AMI)、配電自動化、電圧・無効電力最適化、スマートインバータ、分散型エネルギー源(DER)の統合」は、グリッドエッジにおいて採用される技術と戦略を定義している。主要な促進要因と阻害要因を査定し、電力網へのエッジコンピューティングソリューションの採用に影響を与える地域毎と世界の動向について記載している。2027年までの世界市場をカテゴリー毎、技術毎、地域毎に予測している。グリッドエッジコンピューティングの用途と主要企業について概観している。

The global utility business faces unprecedented challenges and opportunities. Today’s electric grid is transforming into a smart grid and will eventually become what Navigant Consulting, Inc. (Navigant) has dubbed the Neural Grid. Digitization technologies and strategies are pervasive in the grid, and distributed intelligence is being pushed further out on the grid than ever before. The propagation of distributed energy resources (DER)—along with mounting demand for enhanced grid performance and flexibility—is driving the growing need for intelligence, control, and flexibility in the distribution grid. This need is magnified at the grid edge, where many new disruptive resources and their associated load dynamics are located.

To date, utility efforts have been largely reactive, focused on issues caused by distribution grid asset failures, renewables intermittency, shifting loads, capacity constraints, and bidirectional power flows. In the longer term, grid edge intelligence and automation will enable the proactive development of markets for aggregated clean resources and services; reliable, efficient, and self-healing power delivery networks; and end-to-end integrated grid management strategies. Navigant Research has identified key technologies such as advanced metering infrastructure (AMI), distribution automation (DA), Volt/VAR optimization (VVO), smart inverters, and DER integration, among others, that are poised to lead the grid edge into the digital age.

This Navigant Research report defines the technologies and strategies being deployed at the grid edge. The study examines the chief market drivers and barriers, as well as the regional and global trends, affecting the deployment of grid edge computing solutions. Global market forecasts, segmented by category, technology, and region, extend through 2027. The report also provides an overview of grid edge computing applications and the key industry players.

Key Questions Addressed:
  • What is the grid edge?
  • What grid edge computing solutions are utilities and network operators deploying?
  • What are the benefits and drawbacks of grid edge computing deployments?
  • Which grid edge assets are being given intelligence and computing power?
  • Which grid edge computing technologies have the highest growth potential?
  • Which companies are pushing the market forward?
  • What trends are driving and slowing the market for grid edge intelligence?
  • How quickly is the market for grid edge computing technologies expected to grow?
Who needs this report?
  • Utilities and network operators
  • Distribution grid equipment manufacturers
  • Software and solutions providers
  • Government agencies
  • DER network owners and operators
  • Investor community


目次

1. Executive Summary

1.1   Introduction

1.2   Report Scope

1.3   Key Technologies for Grid Edge Computing and Distributed Intelligence

1.4   Global Grid Edge Computing Outlook

2. Market Issues

2.1   Grid Edge Computing Overview

2.2   Defining the Grid Edge

2.2.1   The Traditional Distribution Grid

2.2.2   At the Meter

2.2.3   Behind the Meter

2.3   Grid Edge Computing Market Drivers

2.3.1   Utilities Seek Grid Stability, Reliability, and Resiliency

2.3.2   Grid Visibility Is Key to an Efficient Grid

2.3.3   DER Integration Requires Distributed Intelligence

2.3.4   Progressive Policy Can Propel Edge Computing Applications

2.4   Grid Edge Computing Barriers

2.4.1   Utilities Must Define the Need

2.4.2   Grid Edge Computing Is Expensive

2.4.3   Regulators Are Largely Supportive, but Suppress Growth with Due Process

2.4.4   Utilities Must Manage Workforce Limitations for Installation

2.4.5   How Will Utilities Manage Integration Challenges?

2.5   Technology Overview

2.5.1   Distribution Network Overview

2.5.2   Grid Edge Computing Applications

2.5.2.1   Distribution Automation

     2.5.2.1.1   Fault Location, Isolation, and Restoration

2.5.2.2   VVO and Conservation Voltage Reduction

2.5.2.3   AMI

2.5.2.4   Smart Inverters

2.5.2.5   Computing IT and Analytics

3. Key Industry Players

3.1   ABB

3.2   Aclara

3.3   Beckwith Electric Co. Inc.

3.4   General Electric

3.5   Itron

3.6   Landis+Gyr

3.7   Honeywell/Elster

3.8   S&C Electric

3.9   Schneider Electric

3.10   Siemens

3.11   Schweitzer Engineering Laboratories

3.12   Varentec

4. Market Forecasts

4.1   Introduction

4.1.1   Forecast Methodology and Assumptions

4.2   Global Market Outlook

4.3   Regional Forecasts and Analysis

4.3.1   North America

4.3.2   Europe

4.3.3   Asia Pacific

4.3.4   Latin America

4.3.5   Middle East & Africa

4.4   Conclusions and Recommendations

4.4.1   Recommendations for Utilities

4.4.2   Recommendations for Vendors

5. Acronym and Abbreviation List 
6. Table of Contents 
7. Table of Charts and Figures 
8. Scope of Study, Sources and Methodology, Notes

List of Charts and Figures

  • Grid Edge Computing for Utility Operations Revenue by Category, World Markets: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Region, World Markets: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, North America: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Europe: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Asia Pacific: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Latin America: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Middle East & Africa: 2018-2027
  • The Evolution of Grid Intelligence
  • Edge Computing on the Distribution Grid
  • Grid Operations Shift from Centralized to Distributed
  • AMI Network with Distributed Intelligence
  • Standard and Distributed Intelligence AMI Systems with Centralized IT

List of Tables

  • Grid Edge Computing for Utility Operations Revenue by Region, World Markets: 2018-2027
  • Grid Edge Computing for Utility Operations Market Share by Category, World Markets: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, World Markets: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, North America: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Europe: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Asia Pacific: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Latin America: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Middle East & Africa: 2018-2027
  • Edge Computing for Utility Operations Revenue by Category, World Markets: 2018-2027
  • Edge Computing for Utility Operations Revenue by Category, North America: 2018-2027
  • Edge Computing for Utility Operations Revenue by Category, Europe: 2018-2027
  • Edge Computing for Utility Operations Revenue by Category, Asia Pacific: 2018-2027
  • Edge Computing for Utility Operations Revenue by Category, Latin America: 2018-2027
  • Edge Computing for Utility Operations Revenue by Category, Middle East & Africa: 2018-2027
  • IT and Analytics for Edge Computing Revenue by Category, World Markets: 2018-2027
  • IT and Analytics for Edge Computing Revenue by Category, North America: 2018-2027
  • IT and Analytics for Edge Computing Revenue by Category, Europe: 2018-2027
  • IT and Analytics for Edge Computing Revenue by Category, Asia Pacific: 2018-2027
  • IT and Analytics for Edge Computing Revenue by Category, Latin America: 2018-2027
  • IT and Analytics for Edge Computing Revenue by Category, Middle East & Africa: 2018-2027
  • Grid Edge Computing Hardware with Integrated Software & Communications Revenue by Category, World Markets: 2018-2027
  • Grid Edge Computing Hardware with Integrated Software & Communications Revenue by Category, North America: 2018-2027
  • Grid Edge Computing Hardware with Integrated Software & Communications Revenue by Category, Europe: 2018-2027
  • Grid Edge Computing Hardware with Integrated Software & Communications Revenue by Category, Asia Pacific: 2018-2027
  • Grid Edge Computing Hardware with Integrated Software & Communications Revenue by Category, Latin America: 2018-2027
  • Grid Edge Computing Hardware with Integrated Software & Communications Revenue by Category, Middle East & Africa: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, World Markets: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, North America: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Europe: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Asia Pacific: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Latin America: 2018-2027
  • Grid Edge Computing for Utility Operations Revenue by Category, Middle East & Africa: 2018-2027

 

ページTOPに戻る

あなたが最近チェックしたレポート一覧

  • 最近チェックしたレポートはありません。

お問い合せは、お電話・メール・WEBから承ります。お見積もりの作成もお気軽にご相談ください。

webからのお問い合せはこちらのフォームから承ります

office@dri.co.jp

 

ページTOPに戻る