building intelligence for facility portfolio optimization
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Building Intelligence: It’s redefining work
Guy Holden Vice President & General Manager
Global WorkPlace Solutions
Johnson Controls
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90% of all data in the world…
Source: IBM, Getting Ready for Watson
…is less than two years old
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This global data
explosion will affect the
way we manage real
estate and facilities
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Data from facilities have
many sources
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Real Estate profile
Lease Administration
Asset condition
Transactions
Real Estate Data
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Budgets / CapEx / OpEx
Spend / CapEx / OpEx
Cost / occupant
Cost / sq. ft.
Costs by building function (e.g. Data Center)
Cost / production unit
Cost allocation / billing
Financial Data
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Maintenance Data
Energy Data
Supplier Data
Work order metrics
Asset management
Service delivery performance
Procurement
Demand response contracts
Energy Conservation Projects
Contracts Performance / SLAs
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The speed of facility
data is increasing . . .
creating dynamic
data sources
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Security Security alarms / events
Policy compliance alerts
Life-safety – fire/medical
Occupancy
Critical Environments
Real time monitoring / trend of building occupancy
Demand-based lighting and HVAC services
Data center performance
Production area performance
24x7 surveillance and remote expert advisor services
Dynamic Facility Data
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Dynamic Utility Data
Real time demand
Consumption
Real time pricing
Renewables / performance
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Occupant comfort – building environment
HVAC equipment performance
Energy management strategies
Dynamic tuning / optimization
Dynamic set point adjustments
Fail-over backup Operating schedules
Dynamic HVAC Data
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Let’s have a look at
some real data . . .
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Utilities
Faults Security
HVAC
Reports
Work
Orders
Financials
Carbon Space
Overview
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Enterprise Dashboard
The Dashboard is a high level overview
of key real estate and facility data
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Enterprise Dashboard
Real Estate Leased Facilities
See the real estate portfolio
from multiple views. Search for
properties by
name or address
Or navigate to
properties via the
map
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Filter relevant information by building,
country, region, and other criteria
Real Estate Leased Facilities
Sequentra
Data-driven Real Estate insight
Identification of co-location
and consolidation
opportunities
Quantifiable savings
calculation
Seamless rent and
expense allocations
Track properties in local
currencies, measures,
and languages
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Where…
What…
Who…
When…
18
From the portfolio to
the occupant
Sequentra
Drill into details . . .
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Enterprise Dashboard
Real Estate Energy Spend
Utility spend view
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Utilities Analysis
Dynamic Utilities Data
Utilities
Analysis view
HQ is the
largest energy
consumer
The Data Centre is
the most intensive
energy consumer
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Utilities Analysis
Dynamic Utilities Data
Utility Data Captured
every 15 minutes Overlaid with
weather data
Benchmark against
multiple facilities
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Utilities Analysis
Dynamic Utilities Trending
Filter by facility
Filter by data type
Baseline energy savings shows
the effect of the installation of a
heat exchanger
What happened
here?
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Utilities Analysis
Dynamic Utilities Heat Map
Each row is 24
hours (1 day)
All the days
during April
2013
Energy intensity like a
radar map of storm
intensity Why so much
energy being used
overnight?
See the
weekends?
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Workplace Motion & All in a Day’s Work
Dynamic Occupancy Data
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But data is not enough . . .
Static and dynamic data
sources,
in combination with powerful
software analytics,
can create amazing insights
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Data Analytics
Fault Detection and Analysis
Monetization of
persistent fault
conditions
Custom rules configured to
monitor areas of interest
24x7
Prioritization of faults
based on severity
Trend fault
occurrences
in time
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A simple illustration of
analytics in action . . .
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Utility Data
Weather
Data
Meters
Facility
Portfolio Analytics Reporting
Year
£ Above
Baseline
Baseline
%
2011 £55,792 +10%
2012 (thru June)
£25,307 +9%
Building Intelligence
Benchmarking and Prediction
Using static data to
create performance
models
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Utility Data
Weather
Data Building
Mgmt Data
Meters HVAC Lighting Fire/Security
Business
Systems
Validation &
Payment
Facility
Portfolio Analytics Reporting
Building Intelligence
Driving Automated Optimization
Blue arrows show
adjustments
automatically created
from the analytics – no
human in the loop
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Utility Data
Weather
Data
Building
Mgmt Data
Central
Repository
Analytics Work
Orders
On Site
Meters HVAC Lighting Fire/Security
Building Intelligence
Work Order Generation Analytics can, in
some cases,
generate
appropriate work
orders based on
analysis of
dynamic data
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Utility Data
Weather
Data
Building
Mgmt Data
Central
Repository
Analytics Work
Orders
On Site
Meters HVAC Lighting Fire/Security
Building Intelligence
Adding Remote Services Remote Services
More complex
analytical results
may require
expert human
interpretation
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Utility Data
Weather
Data
Building
Mgmt Data
Central
Repository
Analytics Work
Orders
On Site
Meters HVAC Lighting Fire/Security
Building Intelligence
Adding Local Services
Remote Services
Local Services
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Some real world
examples of the
benefits of static and
dynamic data analytics
. . .
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Global Data Centre Hosting
Analytics detected occasional
overcooling of racks – wasting energy
and overall cooling capacity
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Fuel Stations
Analytics predicted future service
needs of pumps and dispensers
By modeling historical service data it
was shown that service costs could be
reduced with significant increases in
equipment uptime/availability
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Convenience Store Coolers
Analytics measure defrost cycles and
temperature trends to optimize
efficiency and predict pending failures
that may result in spoilage
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Asset Management
Analytics combine multiple data
sources to model large chillers to
estimate useful remaining life with, and
without, continued maintenance.
Result is a data-driven economic case
for when to repair, and when to
replace.
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Service Prioritization
Analytics monitor hundreds of VAV
boxes and identify the poorest
performing 20% along with guidance
on cause.
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Building Efficiency
Analytics use utility bill data across an
entire real estate portfolio to model
and identify the least efficient facilities,
probable causes, and estimates of
potential improvement based on
identified remedies.
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Service Automation
Analytics review faults and events and
filter to root cause – reducing the
number of work orders generated and
providing more accurate instructions
for issued work orders.
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Looking to the future of
Building Intelligence
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Meeting Sensor Detects number of
people at table
Report meeting
attendees vs. capacity
People Counter Detects number of people in
open plan workspaces
Ability to understand peaks and
troughs space usage
Desk Sensor Sensor mounted under each desk
Real time understanding of utilisation
Workplace Motion
How it Works
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Potential reduction/spare
capacity in workstations
Workplace Motion
See the Scale of the Opportunity
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As it’s not just a snapshot of time ambiguity is eliminated
What you do with the data is key
Real-time dashboard customised to customer needs:
Global/ Regional/ Country/ Building
Trough
Peak
Workplace Motion
See Occupancy Trends
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Workplace Motion
In-Depth Reporting
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Occupied/Vacant % per
building. Ranked by
performance.
Occupied/Vacant % per
organization. Ranked
by performance.
Occupied utilisation
by space types
Standard daily and
weekly utilisation
profile
Workplace Motion
In-Depth Reporting
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1 2 3 4 5 5 7 8 9 10 11 12 13 14 15 17 20 21 22 23 25 26 27 30 31 32 33 34 36 37 38 39 40 42 44 45 46 47 48
Occupied Micro absence (15 mins or less) Medium absence (15 mins to 2 hrs) Macro absence (greater than 2 hrs) Unoccupied
What does this mean?
The table above provides additional analysis on the ‘appears occupied’ data, profiling length of absence. The data
suggests absences tend to be either micro (15 minutes or less, shown in purple) or medium (15 minutes to 2 hours, shown
in green) with very small occurrences of macro absences (greater than 2 hours, shown in dark blue).
Workplace Motion
In-Depth Reporting
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Workplace Motion
In-Depth Reporting
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Building Intelligence is
still in infancy
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Extraordinary insights
for facility portfolio
optimization will come
from the correlation of
multiple static and
dynamic data streams
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It will redefine the way
we work.
Building Intelligence: It’s redefining work
Learn more
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