The ongoing deployment of smart grid infrastructure (i.e., smart meters and distribution automation) in the U.S. is prompting utility strategists to re-evaluate their organizations' back-end enterprise architectures in order to enable next-gen utility business and operational services, such as dynamic pricing, grid optimization, self-healing grids and renewables integration. As utilities begin this re-evaluation, they are discovering an existing patchwork of legacy enterprise systems with little, if any, architectural consistency. Utilities are just now beginning to understand the implications of outfitting their dated enterprise architectures with current information (IT) and operations (OT) technologies required to offer next-gen smart grid applications to both their in-house teams and end-users.

This comprehensive report on the smart grid utility enterprise aims to demystify and dissect this smart grid market segment by pinpointing the best practices for implementing enterprise architectures. The report analyzes the enterprise implications for smart grid at each step along the power chain, from point of generation to final consumption.

The report profiles more than 35 companies, including the leading enterprise application / infrastructure providers along with the leading enterprise integrators and consultants.

VALUE-ADDED ELEMENTS:

• Analysis of existing enterprise architectures, including service-oriented architecture (SOA) implementations.
• Enterprise market forecasts to 2015 for Customer Engagement, Business Services and Grid Operations segments, with 14 technology sub-segment break outs.
• Findings and recommendations from business-side (IT) and grid-side (OT) systems integration debate.
• The role of cyber security in enterprise architectures and the factors affecting reliable security practices.
• Competitive profiles of leading enterprise companies, with bill of product offerings, primary competitors and qualitative market positioning.

STRATEGIC INQUIRIES:

• Which enterprise architectures provide best solutions for smart grid utilities and what are the key technologies within these architectures?
• Where do the greatest opportunities exist in the enterprise technology and services markets?
• How are utilities working to safely and reliably bridge the gap between IT and OT applications for greater profitability?
• What are the drivers and inhibitors of a comprehensive cyber security solution for enterprise architectures?

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY AND KEY FINDINGS
1.1 Executive Summary
1.2 Key Findings
1.2.1 The Market
1.2.2 Smart Grid Applications
1.2.3 IT-OT Convergence and Federated SOA
1.2.4 Data and Analytics
1.2.5 Standards
1.2.6 Cyber Security

2. DRIVERS OF THE NEW UTILITY ENTERPRISE
2.1 New Devices, New Data
2.1.1 The Smart Grid Data Explosion
2.1.2 Tactics for Smart Grid Data Planning
2.2 Third-Party Energy Assets and Energy
Management Systems
2.2.1 Renewable Power
2.2.2 Plug-In Electric Vehicles (PEVs)
2.2.3 Energy Storage
2.2.4 Home and Building Energy Management
(HEM and BEM)
2.3 New Services
2.3.1 Customer Engagement
2.3.2 Demand Management
2.4 Grid Optimization
2.5 New Energy Ecosystem

3. SMART ENTERPRISE TECHNOLOGY AND MARKET FORECAST
3.1 Smart Enterprise Market Forecast Methodology
3.1.1 Defi nitions and Segments
3.1.2 North American Smart Enterprise
Forecast
3.1.3 Smart Grid Operations
3.1.4 Cyber Security
3.1.5 Business Services
3.1.6 Customer Engagement
3.2 Smart Enterprise Logical Taxonomy
3.3 Smart Enterprise Market Taxonomy
3.4 Architectural Patterns
3.4.1 Point-to-Point Integration and Architectural
Heterogeneity, the Legacy Status Quo
3.4.2 Multi-Tier Architecture
3.4.3 Helper Applications
3.4.4 Service-Oriented Architecture
3.4.5 Agent-Based Architectures
3.5 Enterprise Technologies
3.5.1 Legacy Technology Portfolio Gap Analysis
3.5.2 Smart Enterprise Requirements
3.6 Smart Grid Application Portfolio
3.6.1 Customer Management and Engagement
3.6.2 Asset Management
3.6.3 Distribution Automation
3.6.4 Outage Management
3.6.5 Geographic Information System (GIS)
Enablement
3.6.6 AMI, Head Ends, MDMS and HAN
3.6.7 Load Management
3.7 Enterprise Architecture Tools and Frameworks
3.7.1 Service-Oriented Architecture Tools
3.7.2 Enterprise Service Bus (ESB)
3.7.3 Complex Event Processor (CEP)
3.7.4 Service Interface Defi nition
3.7.5 Workfl ow Orchestration
3.7.6 Business Process Modeling
3.7.7 Business Activity Monitoring
3.7.8 Real-Time Operations and Control in an
SOA Environment
3.7.9 Federated Enterprise Service Bus and
IT-OT Convergence
3.8 Cyber Security
3.8.1 Security Planning
3.8.2 Security Requirements
3.8.3 Security Technologies, Policies and
Procedures
3.8.4 System Procurement and Supply Chain
Management
3.9 Enterprise Information Managemen
3.9.1 Data Quality Management
3.9.2 Master Data Management
3.9.3 Data Warehouse
3.9.4 Data Visualization and Business Intelligence
3.9.5 Operational Data Stores, Data Historian
3.9.6 Simulation and Modeling Engines
3.9.7 Data Stream Analysis
3.9.8 Data Collaboration and Sharing
3.9.9 Cloud Computing
3.10 Standards
3.10.1 Common Information Model (CIM)
3.10.2 Object Relationships
3.10.3 Data Interchange and Industry Transactions
3.10.4 Cyber Security Standards
3.10.5 Emerging Standards
3.10.6 Standards for Integration
3.10.7 Web Services Standardization

4. ENTERPRISE ARCHITECTURE FOR THE SMART GRID
4.1 Enterprise Architecture Framework
4.2 Smart Grid Reference Architecture Market
Conventions
4.3 Smart Grid Architecture
4.4 A Coherent Smart Grid Architecture Framework
4.4.1 Preliminary
4.4.2 Business Architecture
4.4.3 Information Systems Architecture
4.4.4 Technology Architecture
4.4.5 Implementation,Governance and Change Management

5. VENDOR PROFILES
5.1 Smart Enterprise Application and
Infrastructure Providers
ABB
Aclara software
Alstom Grid
Cooper Power Systems
eMeter
General Electric
International Business Machines
Itron, Inc.
Lockheed Martin
Microsoft Corporation
Oracle
OSIsoft
SAP AG
Siemens AG
Survalent Technology
Telvent GIT, S.A.
Ventyx
5.2 Smart Enterprise System Integrators and
Consultants
Accenture
Capgemini
Infosys
WIPRO
5.3 Additional Profi les
Bridge Energy Group
Calico Energy
Ecologic Analytics
Efacec ACS
EnerNex
Enspiria*
ESRI*
Intergraph
LiveData
Milsoft Utility Solutions
PCS Utilidata
Quanta Technology
SAIC
SpaceTimeInsight
Subnet Solutions Inc.

LIST OF FIGURES

2. DRIVERS OF THE NEW UTILITY ENTERPRISE
· Object Oriented Modeling of Distributed Energy Resources
· Connecting Distributed Energy Resources to Energy
Management Systems
· People, Process and Technology
· Demand Curtailment Using AMI Data
· Smart Grid Market Drivers, Applications, Requirements and Key
Technologies
3. SMART ENTERPRISE TECHNOLOGY AND MARKET FORECAST
· GTM Research US Smart Enterprise Forecast
· Smart Enterprise Forecast Details
· US Smart Grid Operations Enterprise Forecast
· US Smart Grid Operations Enterprise Forecast Revenue Composition
· Smart Grid Business Services Forecast
· Southern California Edison (SCE) Smart Grid Deployment Plan:
Customer Information System Investments
· US Smart Grid Customer Engagement Enterprise Forecast
· Smart Grid Customer Engagement Infrastructure Composition
· GTM Research Smart Enterprise Logical Taxonomy
· GTM Research Smart Enterprise Market Taxonomy
· Multi-Tier Architecture
· Smart Grid Data Management Gap Analysis
· Helper Applications
· Service Composition View: Outage Management with an SOA
Design Pattern
· Agent Architecture
· Smart Grid Drivers, Pressure Points and Requirements
· Customer Engagement Evolution
· Grid Optimization Evolution
· Virtual Power Plant Evolution
· Federated IT-OT Bus Architecture with Common Data and
Analytics Services
· NERC CIP Guidelines
· Key Smart Grid Security Interfaces
· Architecturally Signifi cant Smart Grid Cyber Security Use Cases
· Smart Grid Cyber Security Technologies
· Smart Grid Cyber Security Processes
· Data Flows: From Real Time Operations to Historical Analysis
· GTM Research Smart Grid Enterprise Architecture Standards Model
· Microsoft Smart Energy Reference Architecture – Standards View
4. ENTERPRISE ARCHITECTURE FOR THE SMART GRID
· IBM SAFE Reference Model
· NIST Conceptual Architecture
· Example Logical Reference Model from NISTIR
· TOGAF High Level Enterprise Architecture Model
· PGE Smart Grid Defi nition
· Northeast Utilities Smart Distribution Grid - Applications
5. VENDOR PROFILES
· Vendor Comparison Chart