Transcript Presentation Title (Century gothic 32)

INTELLIGENT BUILDINGS AND
BIG DATA
CONTINENTAL AUTOMATED BUILDINGS ASSOCIATION (CABA)
GREG WALKER, RESEARCH DIRECTOR
RON ZIMMER, PRESIDENT & CEO
©2015 Continental Automated Buildings Association (CABA).
Notice: No material in this publication may be reproduced, stored in a retrieval system, or transmitted by any means, in whole or in part, without the express written permission of CABA.
Presentation Overview
2
Section 1 »
Overview of CABA
Section 2 »
Size of the Market
Section 3 »
Big Data and Intelligent Buildings
Section 4 »
Summary and Future for Buildings
©2015 Continental Automated Buildings Association. All rights reserved.
Overview of CABA
About CABA
» The Continental Automated Buildings Association
(CABA) is an international not-for profit industry
association dedicated to the advancement of
connected home and building technologies. The
organization is supported by an international
membership of over 300 organizations involved in the
design, manufacturing, installation and retailing of
products relating to the Internet of Things for
connected homes and intelligent buildings.
www.caba.org
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Association. All rights reserved.
4
CABA Board of Directors
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Association. All rights reserved.
5
CABA Vision
“CABA accelerates growth in the connected
home
and intelligent buildings sectors.”
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Association. All rights reserved.
6
What are Intelligent Buildings
LIGHTING
FIRE
Schedules
Occupancy Sensing
Functionality checks
Detector service
Fire, Life, Safety
LIFTS
Breakdown
Maintenance
Traffic Performance
SECURITY
Doors
PIR
Integration
COMMUNICATIONS
Voice/Video/Data
ACCESS
Doors
Buildings
Occupancy
Feed Forward
24/7 Monitoring
Breakdown
Plant Tuning
Conditioned Monitoring
Car Park Utilisation
ENERGY
HVAC
Utility Monitoring
(Elec/Water/Gas/Oil)
Tenant Building
Air/Water
Heat
Lighting
Back-up Generation
Air-Handling Unit, Boilers
Pumps, Fans, Energy Control,
Variable Air Volume, Air
Quality
E
G
W
7
Size of the Market
“Intelligent Buildings Market Sizing North America” Research
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Association. All rights reserved.
9
Non-Residential Building Stock – North America
(USA & Canada)
TOTAL 6.5 Million Buildings
Source: Various including U.S. Energy Information Administration, National
Resources Canada, US DOE, Department of Defense Base Structure Report
FY 2009 Baseline (Note: Excludes 26% Department of Defense buildings
Which are used for housing, or troop housing and mess facilities), and
BSRIA estimates.
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Association. All rights reserved.
10
Total Market Size
•
•
•
BACS and Fire are mature markets
Lighting Controls market smallest but booming
Security systems market growing strongly – led by CCTV
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Source: Market Sizing for North America – Intelligent Buildings
11
Trends and Drivers
» Uptake of Building Energy Management Systems
(BEMS)
» Uptake of energy usage data analytics and ‘Big Data’
» Concerns about energy efficiency
» Legislative requirements (e.g. Indoor Air Quality
Standard)
» Uptake of ‘Internet of Things’
» Cyber security
» Connectivity and interoperability between BACS and
other systems
» Impact of Automated Demand Response (ADR)
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Trends and Drivers
Market Drivers for Lighting Controls include:
» Need to reduce energy costs
» Necessity to comply with energy codes
» Need to promote sustainability
» Need to increase occupant comfort and
productivity
U.S. Green Building Council
U.S. Department of Energy
American Society of Heating, Refrigerating
and Air-Conditioning Engineers
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Association. All rights reserved.
13
Trends and Drivers
1. Fire codes and Regulations
› Process required to meet codes demands time and money. Militates
against change.
› Implementation varies from state to state and from city to city. This
encourages a fragmented services sector
2. Maintenance/Testing worth more than the product
3. The USA is about average in terms of fire deaths in advanced
countries
› Figures coming down, but gradually
› Room for improvement
4. When construction is depressed, retrofit gains importance.
5. Some trend to integration with other key systems, e.g.
security
› Vital not to compromise integrity of fire systems
Source: International Association of Fire and Rescue Services, and BSRIA
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Trends and Drivers
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Association. All rights reserved.
Source: International Association of Fire and Rescue Services, and BSRIA
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Trends and Drivers
Source: International Association of Fire and Rescue Services, and BSRIA
IT/Horizontal Convergence
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Source: International Association of Fire and Rescue Services, and BSRIA
Services Converged and Integrated
1. Products integrated and converged will be IP - some IP products are
installed as stand-alone systems.
2. Applications integrated / converged with BACS are energy management,
demand response, sub-metering, lighting controls and security.
3. Lighting controls typically integrated or converged with building
automation/HVAC controls.
4. Most security products integrated / converged with other security
products - but only small proportion with BACS.
5. Fire and alarm detection systems are typically integrated with smoke
detection/extraction, security or BACS.
Source: International Association of Fire and Rescue Services, and BSRIA
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Big Data and Intelligent Buildings
About this Project
» CABA commissioned Navigant Research to lead this study
with a collaborative framework that engaged sponsors
from a cross-section of building technology solution
providers.
» Research Objective: Examine new tools and resources
emerging in the market to help companies filter, analyze,
and use Big Data collected from their intelligent and
integrated buildings.
» Project kicked off August, 2014 and ended February, 2015
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Sponsors
Diamond Sponsors
Emerald Sponsors
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Association. All rights reserved.
21
Sponsors Cont’d.
Ruby Sponsors
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Association. All rights reserved.
22
Purpose of Project
» Big Data has the potential to have a profound impact
on intelligent buildings
› What is Big Data with regards to intelligent
buildings?
› What do customers think?
› How big of a market will this be?
› What are the opportunities?
› What is really happening in the market?
©2015 Continental Automated Buildings
Association. All rights reserved.
23
Research Methodology
INFORMATION COLLECTION
Primary Research
Secondary Research
Supply Side
• Executive Interviews
• Vendor Briefings
• Product Demos and Tours
•
•
•
•
Company News & Financials
Technology & Product Specs
Government Data
Economic, Demographic Data
Demand Side
• Consumer Surveys
• Business Leader Surveys
• Case Studies
• Reference Customers
MARKET ANALYSIS
Qualitative
•
•
•
•
•
Business Models & Trends
Technology Issues
Policy & Regulatory Factors
Competitive Landscape
Profiles of Key Players
Quantitative
• Market Sizing
• Segmentation by Technology,
Geography, Application, etc.
• Market Share Analysis
• Forecasts by Segment
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Association. All rights reserved.
24
Defining Big Data in Intelligent Buildings
» Big data in intelligent buildings is defined as:
› The next generation in business and operational
intelligence derived from the analysis of data
integrated across multiple streams or sources for
the purposes of overall system understanding,
performance, and optimization
» The term big data encompasses both the solution
architecture and associated analytics
©2015 Continental Automated Buildings
Association. All rights reserved.
25
Survey Findings
» Most decision makers do not know how to define big
data or understand the potential benefits
100%
1
90%
2
80%
3
70%
4
60%
5
50%
40%
30%
20%
10%
0%
Concept of big data
Application of big data to buildings
On a scale of 1 to 5, where 1 is not knowledgeable at all and 5 is extremely knowledgeable, how do
you rate your knowledge about the concept of big data and the application of big data to
buildings? (n=400)
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Survey Findings
» Survey respondents were primarily concerned with
1
2
3
4
5
cost
Saving money
Reducing energy consumption
Increasing occupant comfort
4.49
4.14
3.92
On a scale of 1 to 5 where 1 is not important at all and 5 is extremely important, please rate how
important the following factors are when making improvements to your building. (n=400)
27
Survey Findings
» Security and privacy are the biggest issues
(Average Rating)
1
2
3
4
Security of network
3.76
Privacy of data
3.61
Ability to analyze data
3.57
Reliability of data storage
3.54
Ability to combine data from multiple sources
3.50
Complexity of data
Training of building management workforce
3.46
3.41
Amount of data
3.36
Acceptance of the leadership of my organization
3.34
Acceptance of building management workforce
Frequency of data
Acceptance of IT department
5
3.29
3.21
3.16
On a scale of 1 to 5, where 1 is not concerned at all and 5 is extremely concerned, how
concerned are you about the following issues as it relates to data collected in your building?
(n=400, 1 is not important at all and 5 is extremely important)
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Major Findings
» Big data in intelligent buildings represents a pinnacle
in energy and operational management
» Market for big data in intelligent buildings is nascent
» Chasm between the technology and end-user
readiness for big data in intelligent buildings
» Customers prioritize investment on the economic
impacts over all other benefits.
» The majority of decision makers in the intelligent
buildings market do not know how to define big data
or understand the potential benefits of these new
solutions.
©2015 Continental Automated Buildings
Association. All rights reserved.
29
Major Findings
» Data security is a major concern for customers, and
technology providers have an opportunity to
demonstrate how standards and procedures can
protect businesses investing in big data solutions.
» Those interested in big data require transparency in
the ROI of building and operational improvements.
» There is a lot of low-hanging fruit in building and
operational improvements – many customers can still
benefit from periodic reporting and analytics on
existing building systems, and, as a result, many
customers are not ready to adopt fully integrated big
data solutions.
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Association. All rights reserved.
30
Big Data in Intelligent Buildings Market
Big Data in Intelligent Buildings Revenue, North America: 2015-2020
$600
($ Millions)
$500
$512
$400
$300
$200
$171
$100
$-
2015
©2015 Continental Automated Buildings
2016 Association.2017
2018
All rights reserved.
2019
2020 31
A Half a Billion Dollar Market, So What?
$512 million dollars in 2020?
Getting to Big Data in Intelligent Buildings
What needs to change to make this forecast a reality?
How can big data solution providers prepare?
What are the solutions that are going to generate this
kind of revenue?
How will Big Data Become a Part of the Intelligent
Building?
How will Big Data change Intelligent Buildings?
©2015 Continental Automated Buildings
Association. All rights reserved.
32
Market Dynamics: What needs to change?
» The supply side of the market is ahead of the curve
» Only innovative customers have adopted the solutions entering the market
Market Dynamics for Big Data in Intelligent Buildings
Bridge the
Gap
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Market Maturity: How Can Provider Prepare
» Most decision makers do not know how to define big data or understand
the potential benefits
100%
1
90%
2
80%
Time to
Educate
3
70%
4
60%
5
50%
40%
30%
20%
10%
0%
Concept of big data
Application of big data to buildings
On a scale of 1 to 5, where 1 is not knowledgeable at all and 5 is extremely knowledgeable, how do
you rate your knowledge about the concept of big data and the application of big data to buildings?
(n=400)
34
Big Data Solutions: What are the Solutions?
» Big data analytics is an extension of the analytics that have brought new
insight to investment and operational management changes
Big Data Solution Offerings for Intelligent Buildings
Build Off
Smart
Solutions
35
Solutions Offerings: How will Big Data become part of the
Intelligent Building?
» Next-generation offerings provide the most sophisticated analytics to
deliver insight and direct action
Big Data Solutions and the Convergence of Facilities,
Business, and Energy Management
Create
Roadmaps
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Association. All rights reserved.
36
Business Case: How will Big Data Change Intelligent
Buildings?
Clarify the
Message
» Big data solutions change the
paradigm for managing:
› Facilities
› Energy consumption
› Business operations
» Solutions are shifting the
architecture of building systems
› More distributed platform with
hybrid and predictive control
› Based on multiple inputs and
outputs from multiple systems
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Role of Big Data in Energy Efficiency: How will Big Data
Change Intelligent Buildings?
Create
Actionable
Solutions
» A big data solution for energy efficiency must
provide continuous tracking and
benchmarking
› Building profiles must be up to date
› A buildings’ physical systems evolve and
external factors like weather and utility
prices change
» Constantly maintaining this data allows for a
complete understanding of the impact of
energy efficiency upgrades
› Also allows for an assessment of which
future improvements will yield the best
results
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Value Propositions for Big Data Adoption: How will Big Data
Change Intelligent Buildings?
Customize
the
Message
Customer Value Propositions for Big Data Solution Offerings
©2015 Continental Automated Buildings
Association. All rights reserved.
39
Vancouver Coastal Health Authority Case Study:
Eco Opera
» Showcases the benefits of the Eco
Opera’s EcoCEO platform to optimize
the building systems operation process
Vancouver Coastal
Health Authority
› Combination of ongoing commissioning and
a performance measurement and
verification (M&V) process
› Weekly reports for systems performance
validation and/or systems fault detection
› Monthly reports offering detailed trend
analysis
› Time-balanced commitment
• 5-minute review of the weekly reports
• 1-hour review of the monthly reports
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Association. All rights reserved.
40
Seneca Manufacturing Facility: Schneider Electric
» Showcases Schneider Electric’s
Building Analytics service to
diagnose system inefficiencies,
save energy,
and cut costs
Seneca Manufacturing Facility
› Building Analytics service
automatically analyzed the plant’s
performance, comfort levels, energy,
and maintenance
› Pre-designed daily diagnostic reports
› A complete ROI is typically achieved
within 18 months using the service
©2015 Continental Automated Buildings
Association. All rights reserved.
41
Key Take-Aways
Bridge the
Gap
Time to
Educate
Engage the
Early
Adopters
Develop
Market
Awareness
Build Off
Smart
Solutions
Start with
Intelligent
Solutions in the
Market Today
Clarify the
Message
Create
Actionable
Solutions
Customize
the
Message
Focus on the
Evolution of the
Task at Hand
Address
Specific
Customer
Challenges
Address
Segment-Specific
Pain Point
©2015 Continental Automated Buildings
Association. All rights reserved.
Create
Roadmaps
Illustrate the
Process
42
Summary and Future for Buildings
Global IoT Market is Poised for Explosive Growth
Source: Jabil, www.jabil.com
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The Internet of Everything
©2015 Continental Automated Buildings
Association. All rights reserved.
45
CABA’s Connected Consumer Roadmap:
Driven by the Internet of Things
CURRENT SPONSORS
©2015 Continental Automated Buildings
Association. All rights reserved.
46
Zero Net Energy Buildings:
Building Intelligent Controls Driving Success
CURRENT SPONSORS
©2015 Continental Automated Buildings
Association. All rights reserved.
47
New CABA Landmark Research
“Intelligent Buildings and Cybersecurity”
» This research project will provide a detailed look at: the
state of the cybersecurity and intelligent buildings
industry, how to prevent cybersecurity attacks, how to
deal with and manage cybersecurity attacks, the future
direction of cybersecurity in intelligent buildings and
specific recommendations going forward. A number of
industry expert interviews and stakeholder surveys will be
conducted in this large comprehensive research project.
©2015 Continental Automated Buildings
Association. All rights reserved.
48
Next Steps and Contact Information
Continental Automated Buildings Association (CABA)
1173 Cyrville Road, Suite 210
Ottawa, ON K1J 7S6
Toll free: 888.798.CABA (2222)
[email protected]
http://www.CABA.org
Greg Walker, CABA Research Director
Email: [email protected]
Phone: 613.686.1814 x227
Ron Zimmer, CABA President & CEO
Email: [email protected]
Phone: 613.686.1814 x230
49
©2015 Continental Automated Buildings Association. All rights reserved.