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GPT Partners With Envizi To Boost
Performance Of Premium Real Estate
JUNE 2 0 1 6
W W W . V E R D A N T I X . C O M
GPT Partners With Envizi To Boost Performance Of Premium Real Estate
Building owners have the opportunity to work with an ever-increasing amount of data from the proliferation of
smarter equipment, software and sensors that can be deployed to measure facility and equipment operations.
Building managers under pressure to improve operational efficiency and increase the value of property
portfolios can turn to these data points to identify improvements. Australia-based GPT Group works with Envizi
to enable it to efficiently utilize the data from its portfolio properties to drive a successful implementation of its
energy, facility and sustainability optimization plan. This report helps property managers understand how the
GPT Group has successfully tackled its building data challenge and integrated energy data management into a
comprehensive facility management strategy to achieve its commercial objectives.
T A B L E O F C O N T E N T S
GPT Partners With Envizi To Boost Performance Of Premium Real Estate ………………………….…………………….. 3
GPT Identified Data Management And Operational Challenges As Barriers To A Successful Facility Strategy
GPT Group Uses A Data-Driven Approach To Meet Facility Performance Challenges
A Data-Driven Approach To Facility Optimization Enables GPT To Unlock Portfolio Value
GPT Group Leverages Envizi Partnership To Deliver Its Strategy
T A B L E O F F I G U R E S
Figure 1. Five Steps For Real Estate Firms To Uncover Additional Portfolio Value ……..…………………..……………….. 9
O R G A N I Z AT I O N S M E N T I O N E D
Dow Jones, Envizi, EY, Global Real Estate Sustainability Benchmark (GRESB), GPT Group, International
Organization for Standardization (ISO), National Australia Bank, Norton Rose, UBS, The World Green Building
Council
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GPT Partners With Envizi To Boost Performance Of Premium Real
Estate
Building owners have the opportunity to work with an ever-increasing amount of data from the proliferation of
smarter equipment, software and sensors that can be deployed to measure facility and equipment operations.
Building managers under pressure to improve operational efficiency and increase the value of property
portfolios can turn to these data to identify improvements. This report helps property managers understand
how the GPT Group (GPT) has successfully tackled its building data challenge and integrated energy data
management into a comprehensive facility management strategy to achieve its commercial objectives. To
understand GPT Group’s strategy, Verdantix spoke to Bruce Precious, National Manager of Sustainability and
Property Services at GPT and Steve Ford, National Manager, Energy Performance at GPT. The GPT Group:
Runs one of the largest commercial property portfolios in Australia.
GPT is a publicly listed Australian real estate investment trust (REIT). GPT develops, owns and manages a
diverse portfolio of commercial retail, office and logistics buildings predominantly across Australia’s
eastern seaboard. Tenants of GPT’s properties include global consultancy EY, the National Australia Bank,
international law firm Norton Rose and UBS. GPT’s property portfolio contains AUS$18 billion ($13
billion) in assets under management.
Receives international recognition for its sustainability achievements.
Over the past 10 years the GPT Group has implemented a sustainability strategy aimed at reducing the
carbon footprint of its building portfolio and positively impacting water, waste and biodiversity concerns.
Improving the energy efficiency of its property portfolio to support a net zero carbon footprint is a
primary goal of the Group, which has improved its National Australian Built Environment Rating System
(NABERS) score from an average of 3 stars to an average of 4.8 stars since 2005. In addition, over the past
seven years, GPT has held either the top or second position on the Dow Jones Sustainability Index for the
global real estate sector and is also ranked as a regional leader in the Global Real Estate Sustainability
Benchmark (GRESB).
Pursues an integrated facility optimization strategy.
To achieve its operational and sustainability objectives, the Group has formulated a facility management
optimization strategy based on the ISO 14001 Environmental Management System. This strategy
integrates the optimization of building-level asset management, energy management, operational
efficiency, and waste and water management to enhance the performance of the buildings across GPT’s
portfolio. Since 2005, the firm has achieved a 44% reduction in water use intensity, 57% reduction in
carbon emissions intensity and improved its recycling of waste from 29% to 43%.
Implements a data-driven approach to energy and sustainability management.
To successfully replicate its strategy across its building portfolio, GPT relies on granular analysis of the
data provided by its network of smart meters, BMSs and building system sensors such as lighting and
occupancy. This approach enables the firm to understand the lifecycle benefits of decisions made across
its facilities. Understanding lifecycle benefits provides insight into which investments are the most
impactful given specific circumstances – so that facility teams can prioritize their efforts to maximize
energy and sustainability benefits, such as reduced carbon footprints and operational efficiency.
Partners with Envizi for technology and solution development.
GPT Group and Envizi have developed a collaborative partnership aimed at enabling GPT to realize its
sustainability and facility management objectives. Envizi and GPT have collaborated on the development
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of robust data management processes, analytical procedures for identification of efficiency opportunities
and solutions to implement opportunities. This process highlights the benefits of developing partnerships
with industry experts to tailor solutions to meet specific corporate requirements.
GPT Identified Data Management And Operational Challenges As Barriers To A
Successful Facility Strategy
Over the past 10 years the Group has addressed numerous challenges related to the implementation of its
facility management strategy. GPT has needed to deal with:
Bringing together data spread across different systems and in different formats. Before facility teams can analyse the treasure trove of data collected from across their buildings, they
have to make sense of the different data formats and protocols used by various manufacturers (see
Verdantix Energy Software Delves Deeper Into Asset Management). There is a risk that more time is spent
cleaning and organizing the data than running analyses to uncover opportunities. GPT’s facility managers
had to contend with extracting data from equipment from different manufacturers, made in different
years and to different specifications – all providing data across various formats – before they could start
focusing on how to optimize facility operations.
Identifying the most appropriate data for effective decision-making.
Once data from siloed building systems are aggregated and properly formatted for analysis, facility
managers are then faced with the decision of what to do. Building managers facing a continuous stream
of data from BMSs, elevators, HVAC, lighting and pumping systems may be plagued by questions such as
‘What data should I pay attention to?’ and ‘What do I do with this information – is it important?’ GPT has
approached this challenge by keeping focus on its overall corporate objective. GPT decisions are made
based on accomplishing the core objectives of its energy and sustainability strategy.
Overcoming limited insight into the breadth of energy consuming assets across its portfolio.
With billions of dollars of assets under management, keeping track of equipment locations and granular
performance data was a challenge at GPT. Tenant turnover and facilities upgrades mean that assets are
constantly changing and the paperwork did not always keep up. GPT uncovered instances where facility
documents had not been updated, after renovations, to show what equipment was connected where –
effectively blinding facility managers as to what equipment was operating under what schedules. Building
robust records of meter relationships and bringing together all equipment-related data into one single
system of record has been a fundamental step in addressing this issue.
Maintaining optimal performance of high-efficiency buildings.
Like other facility managers, GPT Group has to be continuously diligent in maintaining optimal
operations; it is easy for efficient buildings to revert back to inefficient operations if focus slips (see
Verdantix Business Case For Building Energy Management Software). For example, after installing a new
BMS in one of its properties, GPT witnessed a 30% increase in energy use – in a system that was
supposed to reduce energy consumption. The new system provided a higher level of control than the
previous BMS, turning on more equipment than facility managers anticipated. GPT’s facility team needed
to re-assess the operational performance of its building and iterate its optimization strategy to achieve
savings of 10%-15% over the energy use before the new BMS was installed.
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Consolidating systems to shift focus from individual asset management to portfolio optimization.
GPT’s data management challenges resulted in buildings being managed individually with little
consideration of the benefits applicable across its portfolio. Implementing a single platform for its entire
portfolio enabled insights to be shared among facility teams. The portfolio benchmarking that is possible
with a single enterprise-wide platform provides executives with insights into which buildings are lagging
behind in performance and which investments are most successful and are appropriate for a broader
roll-out. Envizi’s platform enables GPT to benchmark its portfolio’s energy use against specific corporate
KPIs and external benchmarks such as NABERS or Energy Star.
GPT Group Uses A Data-Driven Approach To Meet Facility Performance
Challenges
Commercial real estate management brings a whole slew of energy management challenges to GPT Group. In
tackling these challenges, the firm consolidated management systems and adopted a data -driven approach to
optimizing the operation of its facilities. GPT uses its data-driven approach to facility management to:
Reduce the complexity of its utility billing apparatus.
GPT implemented a major project to to consolidate hundreds of electric utility contracts from across its
portfolio with a single utility. This reduced the number of tariff structures and billing processes that
needed to be tracked and managed. Now, monthly electric utility bills are automatically sent to Envizi in a
standard format and electronically distributed to individual properties – enabling operations teams to
focus on identifying efficiency opportunities instead of deciphering billing statements.
“We’ve been able to automate so much of that [utility] data collection now, which creates eff iciencies,
eliminates errors, and allows us to focus on the analytics rather than just getting the data right.”
Explore alternative approaches to data collection.
To avoid the installation costs of smart meters and provide more granular access to data, GPT and Envizi
have collaborated to leverage technology to collect data available through deployed BMSs. In a pilot
programme recently conducted at one of GPT’s properties, a BACnet gateway was used to access
equipment-level data to calculate facility energy profiles and to perform equipment fault detection. This
enables GPT facility managers to analyse building performance at a more granular level and to diagnose
and quickly make incremental changes to operating parameters when performance anomalies occur.
“When we pull metrics like variable speed, latest load and loading capacity through the BMS to calculate
energy profiles for equipment, we can provide interval meter data at a fraction of the cost of installing sub-
meters. We also get a more insightful view into the performance of our chillers, air handlers, pumps and
other equipment”
Use analytics to identify opportunities for facility improvement projects.
Verdantix research has identified analytics for energy efficiency identification as a top priority among
users of energy management software (see Verdantix Green Quadrant Building Energy Management
Software 2015 (Global)). Analytics to identify energy efficiency opportunities rely on facility operational
data (including meter relationships and appliance registers), budgets, asset performance and energy
performance to optimize the value achieved from investments across an asset’s life cycle. GPT’s facilities
managers have all of this data on the same platform, accessed through the same user interface. The data,
coupled with analytics, helps facilities managers substantiate the business case for facility efficiency
investments with confidence.
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“We need to substantiate business cases with the best possible information. Being able to delve down into
that sub-meter data helps us right size equipment and understand the savings opportunity.”
Deploy a strategy based on continuous monitoring and optimization.
To maintain facility performance after efficiency upgrades have been completed, GPT has implemented a
continuous improvement process for building automation and control equipment. This is achieved
through integration of Envizi’s energy and performance monitoring platform with BMSs and installed
smart meters to enable constant monitoring and analysis of equipment use.
”It’s about using just the right amount of energy at the right time in the right appliances so there’s this
continuous improvement programme from a technology perspective.”
Enrich standard processes to enable all team members to deliver results.
GPT has developed an operational framework to enable each employee to contribute to the continued
success of its optimization strategy – regardless of where they are across the organization. This
framework integrates corporate policy, procedures, platform use, stakeholder feedback, performance
feedback, planning iterations and progress tracking to help teams across the organization meet the
challenge of maintaining and improving upon energy efficiency achievements. GPT uses Envizi to
promote accountability through dashboards that provide transparency among teams and enable issue
tracking through to resolution.
“You need to provide people with a framework and pathways to help them integrate [energy, sustainability
and facility] optimization into their day to day work.”
A Data-Driven Approach To Facility Optimization Enables GPT To Unlock
Portfolio Value
Effective data management has enabled GPT to deploy a facility optimization strategy based on continuous
monitoring and optimization of energy use. This has led to a better understanding of equipment lifecycle
management and improved maintenance scheduling. The benefits of facility optimization have enabled the firm
to:
Save AUS$24 million on energy costs in 2015.
Since the inception of its facility optimization strategy in 2005, GPT has reduced the energy intensity of
its building portfolio by 39%, from 571 MJ/m2 to 349 MJ/m2. This reduction in normalized energy use
enabled the firm to save AUS$24 million ($18 million) on utility energy costs in 2015. The Group uses
green leases to enlist tenants to help it maintain efficiency gains (see Verdantix Green Leases Become A
Practical Option For The Willing). These leases include tenant and GPT obligations to achieve the best
possible building performance. Some leases provide sharing of savings with tenants as an incentive.
“Our common leases across the portfolio all include green commitments and obligations on both the tenant
and owner to collaborate to extract the best performance from the property.”
Maximize building tenancy occupancy rates. The proliferation of voluntary sustainability reporting has led to increased scrutiny of corporate energy
consumption. Firms with publicly stated targets are paying closer attention to energy use reduction
targets. Growth in the use of building rating systems such as BREEAM, Energy Star, LEED and NABERS
have enabled firms to objectively compare building performance when choosing leasing options. In
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Australia, GPT has been able to attract clients such as the National Australian Bank, in part based on the
NABERS rating of its facilities. NABERS ratings can cover building energy, water, waste and indoor
environmental conditions.
“Many tenants tell us they are looking for office space with at least a 4.5 star NABERS rating, we need to be
sure our buildings are at the top of their list.”
Grow asset valuations across their property portfolio. In 2015, GPT received an external portfolio revaluation which increased the value of its asset base by
AUS$432 million ($320 million). There are various factors which contribute to facility valuations, such as
local property markets, building location, utility subsidies and typical rents. The World Green Building
Council also notes that higher sustainability certifications are associated with premium building
valuations. For NABERS, this premium can be up to 21%, when compared to the local property market.
Operational attributes such as higher rents and lease rates and lower operating expenses contribute to
the premium attached to buildings with higher sustainability ratings.
“Once you get savings rolling there’s a snowball effect. The more efficient lights have less maintenance, so
you can transfer maintenance effort to optimizing water use and create more savings.”
Implement energy efficiency technologies based on data-led business cases.
Eighty-eight per cent of decision-makers responsible for energy management highlighted
implementation of energy efficiency technologies as their primary priority in 2015 (see Verdantix Global
Energy Leaders Survey 2015: Budgets and Priorities). Across its portfolio, GPT has invested in energy
efficiency technologies such as smart meters, advanced BMSs and LED lighting to help it monitor systems
and identify when and where to improve building controls and legacy technologies. GPT has achieved up
to 75% energy savings through the replacement of older technology lighting with LEDs – replacements
that were financed through operational budgets, required no upfront costs and provided tenant savings
from day one.
“It’s about smart business. What is the most effic ient, most productive way of achieving that end goal? Get
some good policies behind you that support it with a bigger picture. If I do save energy, what are we
actually achieving? Give people the why.”
GPT Group Leverages Envizi Partnership To Deliver Its Strategy
Through effective implementation of its energy and facility management strategy, GPT has reduced energy use
across its portfolio and achieved multi-million dollar energy savings. Industry partnerships enabled the firm to
implement its strategy effectively to accomplish its objectives. GPT chose to partner with software provider
Envizi. The Group:
Sought out a partner that understood its challenges.
In interviews with Verdantix, buyers of energy management software have highlighted the importance of
a vendor’s specific industry knowledge when making a purchasing decision. GPT chose to partner with
Envizi initially for carbon and energy reporting – areas Verdantix has highlighted as strengths of the firm’s
platform in our Green Quadrant benchmarks (see Verdantix Green Quadrant Building Energy
Management Software 2015 (Global)). GPT prioritized Envizi’s understanding of tariff structures,
greenhouse coefficients and data management across a portfolio that spanned several jurisdictions and
requirements that changed yearly.
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“Right from the get go, it’s not been just about the product, but about the people who are able to apply the
product to meet our needs…the Envizi guys really showed they had their head wrapped well around issues
and they demonstrated great responsiveness in meeting our specific needs.”
Needed a robust data management platform.
Data management is a top-three priority of global energy managers (see Verdantix Global Energy
Leaders Survey 2015: Budgets and Priorities). The Envizi platform accepts thousands of data points a day
from BMSs and smart meters from across GPT’s portfolio. The data captured include feeds for electricity,
water and waste. Envizi’s data management capabilities have enabled GPT to devise facility optimization
strategies for its diverse building portfolio, as well as improve its capabilities to report on progress
towards its carbon and energy goals – and receive assurance, provided by EY, on the data provided.
“Envizi brings all the information into one system and helps us interpret the information so that we can
rationalize and understand what the sub-meter data is conveying to us much more easily.”
Wanted a vendor that would work with it to meet the firm’s objectives.
GPT’s 10-year implementation of its facility optimization strategy is an iterative process. The firm runs
pilot projects to understand the benefits of efficiency upgrades before rolling the investments out across
its portfolio. Envizi has collaborated with GPT in workshops to identify efficiency opportunities and to
develop and pilot software solutions to maximize outcomes. The collaboration between the two firms has
resulted in a set of best practices for delivering additional value to a property portfolio (see Figure 1).
“Turning individual discrete data sets into a suite of information and knowledge for the operations teams
are critical components [of our strategy] and the expansion of the Envizi platform to incorporate these
strategies is at the core of the partnership we’ve had together.”
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Data-driven performance management processes and appropriate partnerships will enable property managers
to efficiently address the complexity of modern building operations. Given the pressures to continuously im-
prove operational efficiency and manage costs, property managers are well advised to leverage the benefits of
a comprehensive energy and facility optimization strategy. Property managers seeking to replicate GPT’s suc-
cesses need to:
Set the foundations for success with the right policies and systems.
A strategy focused on facilities optimization will impact an entire organization and so requires support at
the leadership level. GPT’s leadership completely supports its facilities optimization strategy and has set
policies, targets and systems of accountability and management that ensure its facilities management
efforts are aligned with and support the goals of the entire organization.
Develop a strategy for reducing the lifecycle costs of facilities.
Through implementation of its optimization strategy, GPT has avoided AUS$129 million ($95 million) in
costs associated with electricity, gas and water use. GPT considers the impact of lifecycle costs when de-
ciding on facility investments. This analysis includes the impact of maintenance and refurbishment activi-
ties, operational costs such as utility expenses and equipment purchase versus disposal costs. This holis-
tic decision-making approach seeks to devise the most appropriate strategy to capture building value
while maintaining occupant comfort and the core objectives of the particular building type.
Select appropriate tools and partnerships.
GPT and Envizi have collaborated to help extend the capabilities of each other through the development
of solutions such as Envizi’s Building Energy Performance Analytics (BEPA) module. This tool enables GPT
facility teams to interpret the stream of data available to them and then react to changing building con-
ditions. Selecting the appropriate partner to help firms tackle an optimization strategy across a diverse
building portfolio can dramatically improve the odds of a successful strategy implementation.
Use data-driven analysis to validate facility management decisions.
Facility management budgets are not seeing high growth rates. Verdantix interviews with energy manag-
ers across the globe find that most managers are not expecting budget increases. Building managers
need to be strategic in the projects they select to implement – to minimize upfront costs while maximiz-
ing overall benefits. GPT analysis incorporates data beyond energy consumption to include maintenance,
operational efficiency and asset performance across the life cycle of the buildings in its portfolio. Use of
the Envizi platform to model facility energy use enabled GPT facility managers to fully understand their
building’s operating parameters and to substantiate the business case for efficiency investments.
Improve facility operational management to maintain achieved efficiencies.
Achieving building efficiency objectives is only the first part of the battle for facility teams. Maintaining
optimum efficiency levels is the second – and arguably harder – part of the challenge. Implementing the
appropriate maintenance strategy is a large component of maintaining achieved efficiencies. GPT has
worked with Envizi to develop the BEPA module to identify when the performance of equipment is out-
side of expected parameters. This enables building engineers to identify equipment behaviour before it
becomes critical – maintaining optimal operational performance and minimizing equipment downtime.
Five Steps For Real Estate Firms To Uncover Additional Portfolio Value
F I GURE 1
Source: Verdantix, GPT Group