©2015 continental automated buildings association (caba). notice: no material in this publication...

©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

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

©2015 Continental Automated Buildings Association. All rights reserved.2

Overview of 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

About CABA

©2015 Continental Automated Buildings Association. All rights reserved.

4

http://www.caba.org/

CABA Board of Directors


5

http://www.sce.com/default.htm



http://www.philips.ca/index.page




http://www.realviewllc.com/



http://www.pella.com/


“CABA accelerates growth in the connected home

and intelligent buildings sectors.”

CABA Vision


6

What are Intelligent Buildings

7

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

Size of the Market

“Intelligent Buildings Market Sizing North America” Research


9

Non-Residential Building Stock – North America (USA & Canada)


10

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

• BACS and Fire are mature markets• Lighting Controls market smallest but booming• Security systems market growing strongly – led by CCTV

Total Market Size


11Source: Market Sizing for North America – Intelligent Buildings

» 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

12

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


13

American Society of Heating, Refrigerating and Air-Conditioning Engineers

U.S. Department of EnergyU.S. Green Building Council

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

Trends and Drivers



Trends and Drivers

Source: International Association of Fire and Rescue Services, and BSRIA

IT/Horizontal Convergence


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


Big Data and Intelligent Buildings

» 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

20

Sponsors


21

Emerald SponsorsDiamond Sponsors

Sponsors Cont’d.


22

Ruby Sponsors

» 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


23

Research Methodology


24

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

» 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


25

» Most decision makers do not know how to define big data or understand the potential benefits

Survey Findings

26

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)

» 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

» Security and privacy are the biggest issues

Survey Findings

28

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)

» 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


29

» 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


30

Big Data in Intelligent Buildings Market


31 $-

$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

A Half a Billion Dollar Market, So What?


32

$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

» 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?

33

Market Dynamics for Big Data in Intelligent Buildings

Bridge the Gap

» Most decision makers do not know how to define big data or understand the potential benefits

Market Maturity: How Can Provider Prepare

34

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

» 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?

35

Big Data Solution Offerings for Intelligent Buildings

Build Off Smart

Solutions

» 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?


36

Big Data Solutions and the Convergence of Facilities, Business, and Energy Management

Create Roadmaps

» 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?

37

Clarify the Message

» 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?

38

Create Actionable Solutions

Value Propositions for Big Data Adoption: How will Big Data Change Intelligent Buildings?


39

Customer Value Propositions for Big Data Solution Offerings

Customize the

Message

» 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


40

Vancouver Coastal Health Authority

» 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


41

Seneca Manufacturing Facility

Key Take-Aways


42

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

Summary and Future for Buildings

Global IoT Market is Poised for Explosive Growth

44Source: Jabil, www.jabil.com

The Internet of Everything


45

CABA’s Connected Consumer Roadmap: Driven by the Internet of Things


46

CURRENT SPONSORS

Zero Net Energy Buildings: Building Intelligent Controls Driving

Success


47

CURRENT SPONSORS

» 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”


48

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

mailto:[email protected]

mailto:[email protected]

©2015 continental automated buildings association (caba). notice: no material in this publication...

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