Smart Grid Utility Data Market
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The volume of Smart Grid data that will have to be managed by utilities over the next few years is going to surge from 10,780 terabytes (TB) of new data created in 2010 to over 75,200 TB in 2015. Managing, analyzing and visualizing that amount of data will be a huge undertaking, creating a global market worth $2.9 billion in 2015.
Even this vast amount of data is just the start of the “data tsunami” that utilities will have to manage as more Smart Grid products are installed on the grid. Growing utility awareness of the need to manage this data will drive sales of Smart Grid data management (DM) software over the next five years. The segment will achieve a compound annual growth rate (CAGR) of over 20% between 2010 and 2015, making it the fastest growing segment in the Smart Grid utility data market.
Many utilities are still struggling to understand how the wealth of data generated by Smart Grid technologies can enhance their business model, and which types of Smart Grid software will provide the best return on their investment. While utilities are showing increasing interest in visualization software and outage management systems, it is distribution management systems (DMS) that are expected to provide the best returns. By 2015, SBI Energy estimates almost twice the number of utilities in the U.S. will have a DMS in place compared to 2010.
Mmuch of the Smart Grid funding available worldwide is still hardware focused, particularly for the installation of smart meters. But advanced meters and other sensors are just the fingers of an emerging smarter electrical grid; it is the data that these devices generate and the backend applications that will manage and use that data that will be the nervous system and brain of an active and fully capable Smart Grid.
The Smart Grid Utility Data Market by SBI Energy defines and discusses the data software tools that will be an absolute necessity for utilities as the Smart Grid gains traction. The analysis will include definitions, current product offerings and market detail on the following segments:
Along with these product segments, the report provides insight into topics such as data integration, cybersecurity, and adoption of standards that are necessary components for any utility looking to develop its Smart Grid.
The volume of Smart Grid data that will have to be managed by utilities over the next few years is going to surge from 10,780 terabytes (TB) of new data created in 2010 to over 75,200 TB in 2015. Managing, analyzing and visualizing that amount of data will be a huge undertaking, creating a global market worth $2.9 billion in 2015.
Even this vast amount of data is just the start of the “data tsunami” that utilities will have to manage as more Smart Grid products are installed on the grid. Growing utility awareness of the need to manage this data will drive sales of Smart Grid data management (DM) software over the next five years. The segment will achieve a compound annual growth rate (CAGR) of over 20% between 2010 and 2015, making it the fastest growing segment in the Smart Grid utility data market.
Many utilities are still struggling to understand how the wealth of data generated by Smart Grid technologies can enhance their business model, and which types of Smart Grid software will provide the best return on their investment. While utilities are showing increasing interest in visualization software and outage management systems, it is distribution management systems (DMS) that are expected to provide the best returns. By 2015, SBI Energy estimates almost twice the number of utilities in the U.S. will have a DMS in place compared to 2010.
Mmuch of the Smart Grid funding available worldwide is still hardware focused, particularly for the installation of smart meters. But advanced meters and other sensors are just the fingers of an emerging smarter electrical grid; it is the data that these devices generate and the backend applications that will manage and use that data that will be the nervous system and brain of an active and fully capable Smart Grid.
The Smart Grid Utility Data Market by SBI Energy defines and discusses the data software tools that will be an absolute necessity for utilities as the Smart Grid gains traction. The analysis will include definitions, current product offerings and market detail on the following segments:
- Data management and data security software used by the electrical utility market
- System management tools integrating Smart Grid data with both new and legacy control systems to provide automation and fine control of a utility’s electrical grid
- Data analysis software tools that aggregates and provides usable information to utilities from raw Smart Grid data
Along with these product segments, the report provides insight into topics such as data integration, cybersecurity, and adoption of standards that are necessary components for any utility looking to develop its Smart Grid.
CHAPTER 1: EXECUTIVE SUMMARY
Scope and Methodology
Definition of a Smart Grid
Smart Grid Software Applications
Figure 1-1: Smart Grid Data Tools
Management Software
Analytical Software
Data Management is Vital to the Smart Grid
Smart Grid Data Security
The Smart Grid Application & Data Market
Figure 1-2: Smart Grid Data and Applications Market, 2010-2015 (in millions $)
Smart Grid Application Software Market
Figure 1-3: Smart Grid Software Applications Market, 2010-2015 (in millions $)
The Smart Grid Data Management Market
Table 1-1: Smart Grid Data Generation, 2010 and 2015 (in terabytes)
The Cost of Keeping Smart Grid Data Secure
Smart Grid Timeline
Trends in Smart Grid Software Use
Table 1-2: Utilities with Distributed Automation Projects Underway or Completed, 2010-2014 (in percent)
Data Security Trends
Smart Grid Software Company Trends
Funding the Smart Grid
Figure 1-4: ARRA Smart Grid Application & Data Projects, 2010 (in millions $)
Venture Capital Funding
Development of smart grid standards
NIST Interoperability Standards
Smart Grid Backend Application Standards
Table 1-3: Smart Grid Application & Data Standards
Regulations Affecting Smart Grid Adoption
Table 1-4: Key Smart Grid Legislation and Policy in the U.S.
Energy Efficiency Regulations
Renewable Energy Generation Requirements
Cybersecurity Regulations
U.S. Market Demographics for Smart Grid Applications
Figure 1-5: Number of Utilities in the U.S. by Provider Type, 2008
How much do Utilities Want the Smart Grid?
Are Utilities Prepared for the Smart Grid?
Smart Grid Adoption Around the World
CHAPTER 2: FORGING THE SMARTER GRID
Scope and Methodology
Report Methodology
Definition of a Smart Grid
Figure 2-1: Smart Grid Overview
A system of systems
The Qualities of a Smart Grid
Smart Grid Software Applications
Figure 2-2: Smart Grid Data Tools
SCADA and the Data Mart: Precursor to the Smart Grid
Management Software
Analytical Software
Proper Data Management is Vital to the Smart Grid
Types of Smart Grid Data
Figure 2-3: Smart Grid Data types
Sources of Smart Grid data
Figure 2-4: Sources of Smart Grid Data
Hardware Requirements for Smart Grid Data
Defining “Smart” in a Smart Grid
Table 2-1: NEMA Smart Grid Intelligence Levels
The Smart Grid versus the Active Grid
Smart Grid Data Security
Figure 2-5: NIST Smart Grid Secure Communication Interactions
Key Security Objectives
How Security Adoption can Affect the Smart Grid Market
The Smart Grid Potential
CHAPTER 3: THE MARKET
Figure 3-1: Smart Grid Enabling Technologies Market, 2009-2014 (in millions $)
Increasing Peak Demand Drives the Need for a Smart Grid
Table 3-1: Top U.S. States for Peak Electricity Demand Forecast, 2015 (in megawatts)
The Smart Grid Application & Data Market
Figure 3-2: Smart Grid Data and Applications Market, 2010-2015 (in millions $)
Smart Grid Application Software Market
Figure 3-3: Smart Grid Software Applications Market, 2010-2015 (in millions $)
Electrical Grid Management Systems Category led by DMS Sales
Figure 3-4: Smart Grid EMS/DMS Market, 2010-2015 (in millions $)
Figure 3-5: U.S. EMS and DMS Market Share, 2010-2015 (in percent)
The Smart Grid Data Management Market
Figure 3-6: Smart Grid Data Management Market, 2010-2015 (in millions $)
Table 3-2: Smart Grid Data Generation, 2010 and 2015 (in terabytes)
The Cost of Keeping Smart Grid Data Secure
Figure 3-7: Smart Grid Data Security Market, 2010-2015 (in million $)
Smart Grid Timeline
Figure 3-8: U.S. Smart Grid Implementation Timeline
Funding the Smart Grid
ARRA Smart Grid funding
Figure 3-9: ARRA Smart Grid Funding, 2009 (in millions $)
Figure 3-10: ARRA Smart Grid Application & Data Projects, 2010 (in millions $)
DOE Smart Grid Funding
Table 3-3: DOE OE Smart Grid Funding Allocations, FY2009-FY2011 (in thousands $)
Venture Capital Funding
Figure 3-11: VC Smart Grid Spending by Category, Q1-Q3 of 2010 (in millions $)
CO2 Reduction & the Carbon Credit Market
Figure 3-12: U.S. Electricity Flow Diagram, 2007 Quadrillion Btu
Development of smart grid standards
Figure 3-13: NIST Smart Grid Organizational Structure
NIST Interoperability Standards
Table 3-4: NIST Priority Smart Grid Standards for Development, 2010
Smart Grid Backend Application Standards
Table 3-5: Smart Grid Application & Data Standards
Security Standards
Table 3-6: Standards Relevant to Smart Grid Security, 2010
Regulations Affecting Smart Grid Adoption
Table 3-7: Key Smart Grid Legislation and Policy in the U.S.
Energy Efficiency Regulations
Figure 3-14: U.S. States with Energy Efficiency Resource Standards, 2009
Renewable Energy Generation Requirements
Table 3-8: Countries with National Renewable Portfolio Standards
Cybersecurity Regulations
EU Smart Grid Mandates
CHAPTER 4: SMART GRID DATA & APPLICATION TRENDS
Figure 4-1: Relationships of key stakeholders for Smart Grid Adoption
Smart Grid Software Use
Data Management & Analysis Trends
Smart Grid Management System Trends
Table 4-1: Utilities with Distributed Automation Projects Underway or Completed, 2010-2014 (in percent)
Data Issues Surrounding Utility Adoption of Smart Grids
Internal & External Data Cooperation
Figure 4-2: Utility Internal and External Processes Enabled by Implemented Smart Grid Capabilities, 2008 (in percent)
Quality of Data Determination
Data Security Trends
Awareness of Data Security in Utilities
Figure 4-3: Frequency Internal Assessment of NERC Security Standards by Utilities, 2008 (in percent)
Data Privacy Issues
Figure 4-4: Power usage Revealing Personal Activities
Smart Grid Software Integration Also Growing as a Market
Smart Grid Data & Application Case Studies
Southern Company’s Smart Grid Data Management System
Figure 4-5: Southern Company’s Smart Grid Data Management Model
Xcel SmartGridCity
The Case for Smart Grids from a Utility Perspective
Table 4-2: Major Categories of Operational Savings for Two Utilities Implementing an AMI (in percentage)
Table 4-3: SCE Smart Grid Project Estimated Operational Benefits, 2007 (in millions of dollars)
Internal Utility Benefits
Table 4-4: Internal Benefits to Utilities from Implementing Smart Grid Products
External Utility Benefits
Table 4-5: Electrical Disruption Cost by Industry, 2007 (in dollars per kilowatt)
How much do Utilities Want the Smart Grid?
Electrical Utilities
U.S. Market Demographics for Smart Grid Applications
Figure 4-6: Number of Utilities in the U.S. by Provider Type, 2008
Table 4-6: Top U.S. States by Electricity Sold, 2008 (in MW)
Are Utilities Prepared for the Smart Grid?
Table 4-7: Smart Grid Maturity Model
Smart Grid Hardware Leads Software Application use
Demand Response and Time-of-use Pricing
Table 4-8: DOE Survey- Utility Demand Response & Time-of-Use Programs, 2008 (in number of utilities)
Smart Grid Adoption Around the World
Adoption of Smart Grids in Europe
Comparing U.S. and European Smart Grid Environments
Smart Grids Outside the U.S. and Europe
CHAPTER 5: COMPANIES
Table 5-1: Major Smart Grid Software Company Acquisitions, 2010
Utilities and Software Firm Partnerships
Table 5-2: Global Intelligent Utility Network Coalition Members, 2010
SMART GRID DATA MANAGEMENT COMPANIES
Aclara Software
Performance
Products
Table 5-3: Aclara Software’s Utility Software Products, 2010
Recent Developments
CURRENT Group
Performance
Products
Table 5-4: CURRENT’s Utility Software Products, 2010
Recent Developments
Ecologic Analytics
Performance
Table 5-5: Ecologic Analytic’s Major Utility Software Sales, 2009-2010
Products
eMeter
Performance
Table 5-6: eMeter’s Venture Capital Funding, 2007-2010 (in millions $)
Products
Table 5-7: eMeter’s Utility Software Products, 2010
Recent Developments
Oracle Corporation
Performance
Figure 5-1: Oracle Corporation’s Earnings & Income, FY2006-FY2010 (in millions $)
Products
Table 5-8: Oracle’s Utilities Software Products, 2010
Recent Developments
OSIsoft
Performance
Products
Recent Developments
SMART GRID BACK-END APPLICATION COMPANIES
ABB
Performance
Figure 5-2: ABB’s Earnings & Income, 2005-2009 (in millions $)
Products
Table 5-9: ABB Smart Grid Software Products
Recent Developments
Areva T&D
Areva T&D Purchased by Alstom and Schneider Electric
Performance
Figure 5-3: Areva T&D’s Earnings, FY2006-FY2010 (in millions of euro)
Products
Table 5-10: Areva T&D’s Utility Software Products, 2010
Recent Developments
Efacec ACS
Performance
Products
Table 5-11: Efacec ACS Energy’s Utility Software Products, 2010
GE Energy
Performance
Figure 5-4: GE Energy’s Earnings & Income, 2005-2009 (in millions $)
Products
Table 5-12: GE Energy’s Utility Software Products, 2010
Recent Developments
GridPoint
Performance
Table 5-13: GridPoint’s Venture Capital Funding, 2004-2010 (in millions $)
Products
Recent Developments
Intergraph
Performance
Figure 5-5: Intergraph’s Earnings, 2005-2009 (in millions $)
Products
Table 5-14: Intergraph’s Utility Software Products, 2010
Recent Developments
Milsoft
Performance
Products
Table 5-15: Milsoft’s Utility Software Products, 2010
Recent Developments
Nexant
Performance
Products
Table 5-16: Nexant’s Utility Software Offerings
Recent Developments
OSI
Performance
Table 5-17: OSI’s Major Utility Software Sales, 2009-2010
Products
Table 5-18: OSI’s Utility Software Offerings
Siemens
Performance
Figure 5-6: Earnings & Income for Siemens’ T&D Business Units, FY2006-FY2010 (in millions euro)
Products
Table 5-19: Siemens Energy’s Utility Software Products, 2010
Recent Developments
Telvent
Performance
Figure 5-7: Telvent’s Earnings, 2005-2009 (in millions of euro)
Products
Table 5-20: Telvent’s Utility Software Products, 2010
Recent Developments
APPENDIX: COMPANY CONTACT INFORMATION
Scope and Methodology
Definition of a Smart Grid
Smart Grid Software Applications
Figure 1-1: Smart Grid Data Tools
Management Software
Analytical Software
Data Management is Vital to the Smart Grid
Smart Grid Data Security
The Smart Grid Application & Data Market
Figure 1-2: Smart Grid Data and Applications Market, 2010-2015 (in millions $)
Smart Grid Application Software Market
Figure 1-3: Smart Grid Software Applications Market, 2010-2015 (in millions $)
The Smart Grid Data Management Market
Table 1-1: Smart Grid Data Generation, 2010 and 2015 (in terabytes)
The Cost of Keeping Smart Grid Data Secure
Smart Grid Timeline
Trends in Smart Grid Software Use
Table 1-2: Utilities with Distributed Automation Projects Underway or Completed, 2010-2014 (in percent)
Data Security Trends
Smart Grid Software Company Trends
Funding the Smart Grid
Figure 1-4: ARRA Smart Grid Application & Data Projects, 2010 (in millions $)
Venture Capital Funding
Development of smart grid standards
NIST Interoperability Standards
Smart Grid Backend Application Standards
Table 1-3: Smart Grid Application & Data Standards
Regulations Affecting Smart Grid Adoption
Table 1-4: Key Smart Grid Legislation and Policy in the U.S.
Energy Efficiency Regulations
Renewable Energy Generation Requirements
Cybersecurity Regulations
U.S. Market Demographics for Smart Grid Applications
Figure 1-5: Number of Utilities in the U.S. by Provider Type, 2008
How much do Utilities Want the Smart Grid?
Are Utilities Prepared for the Smart Grid?
Smart Grid Adoption Around the World
CHAPTER 2: FORGING THE SMARTER GRID
Scope and Methodology
Report Methodology
Definition of a Smart Grid
Figure 2-1: Smart Grid Overview
A system of systems
The Qualities of a Smart Grid
Smart Grid Software Applications
Figure 2-2: Smart Grid Data Tools
SCADA and the Data Mart: Precursor to the Smart Grid
Management Software
Analytical Software
Proper Data Management is Vital to the Smart Grid
Types of Smart Grid Data
Figure 2-3: Smart Grid Data types
Sources of Smart Grid data
Figure 2-4: Sources of Smart Grid Data
Hardware Requirements for Smart Grid Data
Defining “Smart” in a Smart Grid
Table 2-1: NEMA Smart Grid Intelligence Levels
The Smart Grid versus the Active Grid
Smart Grid Data Security
Figure 2-5: NIST Smart Grid Secure Communication Interactions
Key Security Objectives
How Security Adoption can Affect the Smart Grid Market
The Smart Grid Potential
CHAPTER 3: THE MARKET
Figure 3-1: Smart Grid Enabling Technologies Market, 2009-2014 (in millions $)
Increasing Peak Demand Drives the Need for a Smart Grid
Table 3-1: Top U.S. States for Peak Electricity Demand Forecast, 2015 (in megawatts)
The Smart Grid Application & Data Market
Figure 3-2: Smart Grid Data and Applications Market, 2010-2015 (in millions $)
Smart Grid Application Software Market
Figure 3-3: Smart Grid Software Applications Market, 2010-2015 (in millions $)
Electrical Grid Management Systems Category led by DMS Sales
Figure 3-4: Smart Grid EMS/DMS Market, 2010-2015 (in millions $)
Figure 3-5: U.S. EMS and DMS Market Share, 2010-2015 (in percent)
The Smart Grid Data Management Market
Figure 3-6: Smart Grid Data Management Market, 2010-2015 (in millions $)
Table 3-2: Smart Grid Data Generation, 2010 and 2015 (in terabytes)
The Cost of Keeping Smart Grid Data Secure
Figure 3-7: Smart Grid Data Security Market, 2010-2015 (in million $)
Smart Grid Timeline
Figure 3-8: U.S. Smart Grid Implementation Timeline
Funding the Smart Grid
ARRA Smart Grid funding
Figure 3-9: ARRA Smart Grid Funding, 2009 (in millions $)
Figure 3-10: ARRA Smart Grid Application & Data Projects, 2010 (in millions $)
DOE Smart Grid Funding
Table 3-3: DOE OE Smart Grid Funding Allocations, FY2009-FY2011 (in thousands $)
Venture Capital Funding
Figure 3-11: VC Smart Grid Spending by Category, Q1-Q3 of 2010 (in millions $)
CO2 Reduction & the Carbon Credit Market
Figure 3-12: U.S. Electricity Flow Diagram, 2007 Quadrillion Btu
Development of smart grid standards
Figure 3-13: NIST Smart Grid Organizational Structure
NIST Interoperability Standards
Table 3-4: NIST Priority Smart Grid Standards for Development, 2010
Smart Grid Backend Application Standards
Table 3-5: Smart Grid Application & Data Standards
Security Standards
Table 3-6: Standards Relevant to Smart Grid Security, 2010
Regulations Affecting Smart Grid Adoption
Table 3-7: Key Smart Grid Legislation and Policy in the U.S.
Energy Efficiency Regulations
Figure 3-14: U.S. States with Energy Efficiency Resource Standards, 2009
Renewable Energy Generation Requirements
Table 3-8: Countries with National Renewable Portfolio Standards
Cybersecurity Regulations
EU Smart Grid Mandates
CHAPTER 4: SMART GRID DATA & APPLICATION TRENDS
Figure 4-1: Relationships of key stakeholders for Smart Grid Adoption
Smart Grid Software Use
Data Management & Analysis Trends
Smart Grid Management System Trends
Table 4-1: Utilities with Distributed Automation Projects Underway or Completed, 2010-2014 (in percent)
Data Issues Surrounding Utility Adoption of Smart Grids
Internal & External Data Cooperation
Figure 4-2: Utility Internal and External Processes Enabled by Implemented Smart Grid Capabilities, 2008 (in percent)
Quality of Data Determination
Data Security Trends
Awareness of Data Security in Utilities
Figure 4-3: Frequency Internal Assessment of NERC Security Standards by Utilities, 2008 (in percent)
Data Privacy Issues
Figure 4-4: Power usage Revealing Personal Activities
Smart Grid Software Integration Also Growing as a Market
Smart Grid Data & Application Case Studies
Southern Company’s Smart Grid Data Management System
Figure 4-5: Southern Company’s Smart Grid Data Management Model
Xcel SmartGridCity
The Case for Smart Grids from a Utility Perspective
Table 4-2: Major Categories of Operational Savings for Two Utilities Implementing an AMI (in percentage)
Table 4-3: SCE Smart Grid Project Estimated Operational Benefits, 2007 (in millions of dollars)
Internal Utility Benefits
Table 4-4: Internal Benefits to Utilities from Implementing Smart Grid Products
External Utility Benefits
Table 4-5: Electrical Disruption Cost by Industry, 2007 (in dollars per kilowatt)
How much do Utilities Want the Smart Grid?
Electrical Utilities
U.S. Market Demographics for Smart Grid Applications
Figure 4-6: Number of Utilities in the U.S. by Provider Type, 2008
Table 4-6: Top U.S. States by Electricity Sold, 2008 (in MW)
Are Utilities Prepared for the Smart Grid?
Table 4-7: Smart Grid Maturity Model
Smart Grid Hardware Leads Software Application use
Demand Response and Time-of-use Pricing
Table 4-8: DOE Survey- Utility Demand Response & Time-of-Use Programs, 2008 (in number of utilities)
Smart Grid Adoption Around the World
Adoption of Smart Grids in Europe
Comparing U.S. and European Smart Grid Environments
Smart Grids Outside the U.S. and Europe
CHAPTER 5: COMPANIES
Table 5-1: Major Smart Grid Software Company Acquisitions, 2010
Utilities and Software Firm Partnerships
Table 5-2: Global Intelligent Utility Network Coalition Members, 2010
SMART GRID DATA MANAGEMENT COMPANIES
Aclara Software
Performance
Products
Table 5-3: Aclara Software’s Utility Software Products, 2010
Recent Developments
CURRENT Group
Performance
Products
Table 5-4: CURRENT’s Utility Software Products, 2010
Recent Developments
Ecologic Analytics
Performance
Table 5-5: Ecologic Analytic’s Major Utility Software Sales, 2009-2010
Products
eMeter
Performance
Table 5-6: eMeter’s Venture Capital Funding, 2007-2010 (in millions $)
Products
Table 5-7: eMeter’s Utility Software Products, 2010
Recent Developments
Oracle Corporation
Performance
Figure 5-1: Oracle Corporation’s Earnings & Income, FY2006-FY2010 (in millions $)
Products
Table 5-8: Oracle’s Utilities Software Products, 2010
Recent Developments
OSIsoft
Performance
Products
Recent Developments
SMART GRID BACK-END APPLICATION COMPANIES
ABB
Performance
Figure 5-2: ABB’s Earnings & Income, 2005-2009 (in millions $)
Products
Table 5-9: ABB Smart Grid Software Products
Recent Developments
Areva T&D
Areva T&D Purchased by Alstom and Schneider Electric
Performance
Figure 5-3: Areva T&D’s Earnings, FY2006-FY2010 (in millions of euro)
Products
Table 5-10: Areva T&D’s Utility Software Products, 2010
Recent Developments
Efacec ACS
Performance
Products
Table 5-11: Efacec ACS Energy’s Utility Software Products, 2010
GE Energy
Performance
Figure 5-4: GE Energy’s Earnings & Income, 2005-2009 (in millions $)
Products
Table 5-12: GE Energy’s Utility Software Products, 2010
Recent Developments
GridPoint
Performance
Table 5-13: GridPoint’s Venture Capital Funding, 2004-2010 (in millions $)
Products
Recent Developments
Intergraph
Performance
Figure 5-5: Intergraph’s Earnings, 2005-2009 (in millions $)
Products
Table 5-14: Intergraph’s Utility Software Products, 2010
Recent Developments
Milsoft
Performance
Products
Table 5-15: Milsoft’s Utility Software Products, 2010
Recent Developments
Nexant
Performance
Products
Table 5-16: Nexant’s Utility Software Offerings
Recent Developments
OSI
Performance
Table 5-17: OSI’s Major Utility Software Sales, 2009-2010
Products
Table 5-18: OSI’s Utility Software Offerings
Siemens
Performance
Figure 5-6: Earnings & Income for Siemens’ T&D Business Units, FY2006-FY2010 (in millions euro)
Products
Table 5-19: Siemens Energy’s Utility Software Products, 2010
Recent Developments
Telvent
Performance
Figure 5-7: Telvent’s Earnings, 2005-2009 (in millions of euro)
Products
Table 5-20: Telvent’s Utility Software Products, 2010
Recent Developments
APPENDIX: COMPANY CONTACT INFORMATION
