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TRANSCRIPT
Draft – for discussion purposes only
Making Sense of Energy Management Systems
NEEC, September 2012
Cara Quinn, Accenture Sustainability Services,
Singapore
Energy efficiency makes good business sense as it pulls value
levers such as reducing costs and risks, as well as building intangible assets
Opportunities for growth through new
products and services, e.g. clean
technology, renewables
Increase Revenues
Tangible link between energy
efficiency and cost reduction
Reduce Costs
Interest from investors, employees,
customers, governments, regulators,
NGOs etc
Build Intangibles
Rapidly evolving energy and
environmental policy and regulation
Reduce Risk
Inc
rea
sin
g P
os
itiv
eR
ed
uc
ing
Ne
ga
tive
Less Certain / Long-termCertain / Short-term
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However, there remains a challenge in implementing EE at scale and
achieving optimised energy performance across the organization
Examples of energy efficiency barriers and challenges
Misaligned
Organisational
Priorities
;
• Measuring and verifying EE savings is difficult without an adequate energy data monitoring and management system
• EE potential is often fragmented and can be difficult to uncover due to lack of technical and business skills and expertise
Limited access to
capital
• EE tools and technologies often require capital outlay upfront, which have to compete with investments that increase productivity;
• Numerous governmental incentives exist, but these schemes for the most part are not taken advantage of
Lack of insights
• Energy efficiency is not a systematic focus within organizations
• Many organizations unaware of the true cost-saving opportunities
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Improved Energy Performance
Enterprise Energy Management
Implementing a robust Energy Management System enables an
organization to achieve optimised energy performance
Energy Management System(set of components to achieve objectives)
Organisation
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The ISO 50001 standard provides organisations with a recognized
EnMS framework for integrating energy performance into their
management practices
Data driven
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The technology component (hardware, software) is a key part of
an EnMS, providing management and operational insights
Energy Management System(Technology Component)
Energy Management System Software
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However, given the fast growing and diverse nature of the Energy
Software market, company executives often find it challenging to
identify the appropriate software vendor for their requirements
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Our analysis shows that within the Sustainability Software market,
three categories of vendors are emerging
Keen analyticsKeen analytics Niche, effective reportersNiche, effective reportersSuperior integrators Superior integrators
In this rapidly evolving market, we expect further new entrants and industry consolidation
� Good level of analytics
� Access to external
information sources (e.g.
energy & GHG emission
factors, legal reqs)
� Addresses variety of
sustainability indicators
Simple to use for defining
� Cost effective
� Quicker implementation
� Simple to use for defining
SD metrics and
aggregating data
� Intuitive user interface
� High level of integration
� Access to investment to
develop solution in line
with clients requirements
� Given ERP history, cater
well for complex data
management, analysis
and reporting
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The Energy Software can be broadly categorized in terms of
functionality
AnalyseAnalyse ControlControlViewView
“What opportunities for EE improvements?”
� Analysis of energy use
as well as monitoring,
tracking, reporting
� Load profiles, forecasts
� Real-time data (TOU)
can be acted upon
“How can energy use be controlled?”
• Asset-specific (ACMV,
manufacturing line, DCs,
refrigeration, etc)
• Automated Fault
Detection and Diagnosis
• Offer the ability to directly
control assets
“Where and when is energy consumed?”
� Monitoring, tracking,
reporting
� Data from utility bills or
meter/submetering
� Energy use can be
allocated to product lines,
customers or tenants
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In order to choose the right solution(s), the first step is to
understand energy management needs across the organisation
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Executive Leadership
Chief Financial Officer
Facility Manager
Energy Manager
• “I need to update our stakeholders on our progress towards meeting our
energy targets, as well as report to the GRI”
• “I want to understand total energy spend and potential savings”
• “I need the granularity of data necessary to meet the ECA requirements”
• “I need time of use data across the estate in order to identify where to
make adjustments to our ACMV equipment”
Process Engineer
• “I need a tool that will help identify faults such as leaks in the
compressor or stuck sensors”
Next, establish evaluation criteria by which to assess the potential
solutions
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Functionality
SystemIT Assessment
Vendor Maturity
Support &
User Experience
• Data entry (e.g. manual, automated) and validation?
• Ability to view, analyse and control?
• Performance (speed and stability)?
• Security & data confidentiality handling?
• User-friendliness (navigation and usability)?
• Local support & responsiveness?
• Industry and client references?
• Innovation potential (Yearly R&D investment)?
Commercials• Commercial terms?
• Set-up & implementation and ongoing subscription costs?
Once the needs and evaluation criteria are established, carry out a
vendor selection assessment to determine the most suitable solutions
� Identify and evaluate X number of solutions
in a shortlist (probably about 10) against
high level requirements
Vendor Shortlisting (10)
� Send an RFI to appropriate vendors
� Request a demo of each solution
� Evaluate the solutions against predetermined
evaluation criteria
RFI and Demos (5)
� Proof of concept with the leading vendor (or
potentially 2) to ensure the solution meets
expectations
Quotations (3)
� Approve final recommendation
� Deploy the solution
Final
1
2
3
4
Recommendation
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Case Study:
Accenture’s approach to Enterprise Energy Management
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Our sustainability software system monitors and reports
energy performance across our global operations
in line with our corporate key performance indicators
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At the asset level, smart building software optimises
energy consumption of building equipment through
automated fault detection and diagnosis
Prioritized and actionable view into dozens of building equipment faults
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