Thomas Bouriot, of Tuffin Ferraby Taylor LLP, was a guest speaker at our IES Faculty event, that took place in London on 27th April, 2016. Thomas' presentation looks at the opportunities that big data provides for real estate asset management.

1. Intelligent big data: Opportunities
for real estate asset management
IES Faculty Event
Thomas Bouriot
Senior sustainability and energy consultant
Tuffin Ferraby Taylor LLP
27 April 2016

2. Why this presentation?

Real estate asset managers are
often the final decision-makers in
construction projects

91% believe that energy efficiency
has become more important in their
organisation in the last 5 years

53% now consider energy efficiency
as a top 5 priority when acquiring
new buildings

3. Overview

(Very) brief definition of asset
management

Building performance from an asset
management perspective

Challenges and drivers for energy
efficiency

How data can support performance
optimisation?

4. Real estate asset management
Management of real estate investments
aimed at maximising property value and
return on investment via

Effective risk management

Efficient property management

Identification and implementation of
valuable improvements

5. A different definition of building
performance
A high-performing building generates
maximum profit via

High and continuous rental income

Low operating & maintenance cost

Low depreciation

6. Big data and running costs
reduction
Buildings already gather a lot of data which
is not used optimally
Information/data is not shared between the
occupants, the landlord and designers
Designers don’t have feedback on the
performance of their designs

7. Energy metering data
 Utility meters
 Sub-meters
Building Management system
 Time schedules
 Indoor environmental parameters
 Plant status (load, running, faults, settings etc.)
 Etc.
Design & commissioning
data
 EPC/energy model
 Asset register
 Operation and Maintenance manual
 Billing
 Reporting (CRC, GRESB, etc.)
 Energy management
Maintenance records
For both planed and reactive
maintenance:
 Inspections records
 Test results
 Etc.
Big data and running costs reduction
Energy manager BMS engineer
Site manager
 Day to day building operations
 Potentially energy management
 Day to day building management
 Due diligence
 Potentially energy management
Maintenance
contractor
Site manager
Design engineers
Building surveyors
Architects
 Building upgrades
 Due diligence
 Potentially energy management
Streaming
data
remotely
accessible
Streaming
data Dynamic
data
Static &
dynamic data
 Large volumes of data of different types, in various formats and in different locations, for each building
 Limited possibility to access the data easily and remotely or track changes in real time/on an ongoing basis
 No visibility into data
 No possibility to cross reference and analyse the data quickly and cost-effectively

8. Intelligent Big Data
Energy metering data
 Utility meters
 Sub-meters
Building Management system
 Time schedules
 Indoor environmental parameters
 Plant status (load, running, faults, settings etc.)
 Etc.
Design & commissioning
data
 EPC/energy model
 Asset register
 Operation and Maintenance manual
Maintenance records
For both planed and reactive
maintenance:
 Inspections records
 Test results
 Etc.
Big data and running costs reduction
Energy manager BMS engineer
Site manager
Maintenance
contractor
Site manager
Design engineers
Building surveyors
Architects
Streaming
data
remotely
accessible
Streaming
data Dynamic
data
Static &
dynamic data
High
visibility
into data
Data
ScienceContinuous
and in depth
monitoring
Enhanced
reporting
Identification
of latent
wastage
Building
fine tuning
Smarter
maintenanceInformation
sharing
Lower running costs via smarter management

9. Big data and regulatory risk:
Minimum Energy Efficiency
Standard
•
Affects F or G rated properties
•
Applies to new leases and renewals
from 1 April 2018
•
All leases from 2023 (domestic from
2020)
•
500,000 EPCs - 1 in 5 have F & G
ratings
•
Accelerated obsolescence and
potential for ‘brown discount’

10. Big data and regulatory risk:
Minimum Energy Efficiency
Standard
•
Essential to have accurate EPCs to
maintain asset performance
•
Most poor EPCs are due to poor
quality inputs
•
Availability of design data
throughout the lifecycle of the
property is essential
BIM and big data can improve
information availability through
the property lifecycle

11. Thank you
Contact details:
Email: tbouriot@tftconsultants.com
Direct: 020 3479 7709
Thom Bouriot
www.tftconsultants.com