©2015 Continental Automated Buildings Association (CABA). Notice: No material in this publication...
Transcript of ©2015 Continental Automated Buildings Association (CABA). Notice: No material in this publication...
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©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.
INTELLIGENT BUILDINGS AND BIG DATA
CONTINENTAL AUTOMATED BUILDINGS ASSOCIATION (CABA)GREG WALKER, RESEARCH DIRECTORRON ZIMMER, PRESIDENT & CEO
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Presentation Overview
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
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Overview of CABA
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» 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
About CABA
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CABA Board of Directors
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“CABA accelerates growth in the connected home
and intelligent buildings sectors.”
CABA Vision
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What are Intelligent Buildings
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24/7 MonitoringBreakdownPlant TuningConditioned MonitoringCar Park Utilisation
FIREFunctionality checksDetector serviceFire, Life, Safety
ACCESSDoorsBuildingsOccupancyFeed Forward
ENERGYUtility Monitoring(Elec/Water/Gas/Oil)Tenant BuildingAir/WaterHeatLightingBack-up Generation
HVACAir-Handling Unit, BoilersPumps, Fans, Energy Control, Variable Air Volume, Air Quality
LIFTSBreakdownMaintenanceTraffic Performance
SECURITYDoorsPIRIntegration
LIGHTINGSchedulesOccupancy Sensing
WGE
COMMUNICATIONSVoice/Video/Data
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Size of the Market
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“Intelligent Buildings Market Sizing North America” Research
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Non-Residential Building Stock – North America (USA & Canada)
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Source: Various including U.S. Energy Information Administration, NationalResources Canada, US DOE, Department of Defense Base Structure ReportFY 2009 Baseline (Note: Excludes 26% Department of Defense buildingsWhich are used for housing, or troop housing and mess facilities), andBSRIA estimates.
TOTAL 6.5 Million Buildings
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• BACS and Fire are mature markets• Lighting Controls market smallest but booming• Security systems market growing strongly – led by CCTV
Total Market Size
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11Source: Market Sizing for North America – Intelligent Buildings
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» 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)
Trends and Drivers
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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
Trends and Drivers
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American Society of Heating, Refrigerating and Air-Conditioning Engineers
U.S. Department of EnergyU.S. Green Building Council
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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 product3. 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
Trends and Drivers
14Source: International Association of Fire and Rescue Services, and BSRIA
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Trends and Drivers
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15Source: 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
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IT/Horizontal Convergence
17Source: International Association of Fire and Rescue Services, and BSRIA
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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.
Services Converged and Integrated
18Source: International Association of Fire and Rescue Services, and BSRIA
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Big Data and Intelligent Buildings
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» 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
About this Project
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Sponsors
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Emerald SponsorsDiamond Sponsors
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Sponsors Cont’d.
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Ruby Sponsors
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» 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?
Purpose of Project
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Research Methodology
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INFORMATION COLLECTION
Supply Side
Demand Side
MARKET ANALYSIS
Primary Research Secondary Research
• Executive Interviews• Vendor Briefings• Product Demos and Tours
• Company News & Financials• Technology & Product Specs• Government Data• Economic, Demographic Data
• Consumer Surveys• Business Leader Surveys
• Case Studies• Reference Customers
Qualitative Quantitative
• Business Models & Trends• Technology Issues• Policy & Regulatory Factors• Competitive Landscape• Profiles of Key Players
• Market Sizing• Segmentation by Technology, Geography, Application, etc.• Market Share Analysis• Forecasts by Segment
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» 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
Defining Big Data in Intelligent Buildings
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» Most decision makers do not know how to define big data or understand the potential benefits
Survey Findings
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Concept of big data Application of big data to buildings
1
2
3
4
5
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 respondents were primarily concerned with cost
Survey Findings
27On 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)
4.49
4.14
3.92
1 2 3 4 5
Saving money
Reducing energy consumption
Increasing occupant comfort
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» Security and privacy are the biggest issues
Survey Findings
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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)
3.76
3.61
3.57
3.54
3.50
3.46
3.41
3.36
3.34
3.29
3.21
3.16
1 2 3 4 5
Security of network
Privacy of data
Ability to analyze data
Reliability of data storage
Ability to combine data from multiple sources
Complexity of data
Training of building management workforce
Amount of data
Acceptance of the leadership of my organization
Acceptance of building management workforce
Frequency of data
Acceptance of IT department
(Average Rating)
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» 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.
Major Findings
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» 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.
Major Findings
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Big Data in Intelligent Buildings Market
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$100
$200
$300
$400
$500
$600
2015 2016 2017 2018 2019 2020
($ M
illio
ns)
Big Data in Intelligent Buildings Revenue, North America: 2015-2020
$512
$171
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A Half a Billion Dollar Market, So What?
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$51
2 m
illion
do
llars
in 2
020
?
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?
Getting to Big Data in Intelligent Buildings
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» The supply side of the market is ahead of the curve» Only innovative customers have adopted the solutions entering the market
Market Dynamics: What needs to change?
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Market Dynamics for Big Data in Intelligent Buildings
Bridge the Gap
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» Most decision makers do not know how to define big data or understand the potential benefits
Market Maturity: How Can Provider Prepare
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Concept of big data Application of big data to buildings
1
2
3
4
5
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)
Time to Educate
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» Big data analytics is an extension of the analytics that have brought new insight to investment and operational management changes
Big Data Solutions: What are the Solutions?
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Big Data Solution Offerings for Intelligent Buildings
Build Off Smart
Solutions
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» Next-generation offerings provide the most sophisticated analytics to deliver insight and direct action
Solutions Offerings: How will Big Data become part of the Intelligent Building?
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Big Data Solutions and the Convergence of Facilities, Business, and Energy Management
Create Roadmaps
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» 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
Business Case: How will Big Data Change Intelligent Buildings?
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Clarify the Message
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» 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
Role of Big Data in Energy Efficiency: How will Big Data Change Intelligent Buildings?
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Create Actionable Solutions
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Value Propositions for Big Data Adoption: How will Big Data Change Intelligent Buildings?
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Customer Value Propositions for Big Data Solution Offerings
Customize the
Message
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» Showcases the benefits of the Eco Opera’s EcoCEO platform to optimize the building systems operation process› 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
Vancouver Coastal Health Authority Case Study: Eco Opera
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Vancouver Coastal Health Authority
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» Showcases Schneider Electric’s Building Analytics service to diagnose system inefficiencies, save energy, and cut costs› 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
Seneca Manufacturing Facility: Schneider Electric
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Seneca Manufacturing Facility
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Key Take-Aways
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Bridge the Gap
Customize the
Message
Create Actionable Solutions
Clarify the Message
Create Roadmaps
Build Off Smart
Solutions
Time to Educate
Engage the Early
Adopters
Develop Market
Awareness
Start with Intelligent
Solutions in the Market Today
Illustrate the Process
Focus on the Evolution of the Task at Hand
Address Specific
Customer Challenges
Address Segment-Specific
Pain Point
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Summary and Future for Buildings
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Global IoT Market is Poised for Explosive Growth
44Source: Jabil, www.jabil.com
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The Internet of Everything
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CABA’s Connected Consumer Roadmap: Driven by the Internet of Things
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CURRENT SPONSORS
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Zero Net Energy Buildings: Building Intelligent Controls Driving
Success
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CURRENT SPONSORS
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» 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.
New CABA Landmark Research “Intelligent Buildings and Cybersecurity”
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Next Steps and Contact Information
©2015 Continental Automated Buildings Association. All rights reserved.49
Continental Automated Buildings Association (CABA)1173 Cyrville Road, Suite 210Ottawa, ON K1J 7S6Toll free: 888.798.CABA (2222) [email protected]://www.CABA.org
Greg Walker, CABA Research DirectorEmail: [email protected]: 613.686.1814 x227
Ron Zimmer, CABA President & CEOEmail: [email protected] Phone: 613.686.1814 x230