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The Transformation of Energy Management
EMEX | 11th November 2015
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£143 million approximate annual
energy spend
£930 million approximate annual
energy spend
£200 million approximate annual
energy spend
£232.5 million approximate annual
energy spend
£1.5 trillion spent annually
by enterprises on energy
Source: company sustainability reports, US EPA and EnerNOC estimates
Corporate energy budgets are meaningful
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89%
Wall Street Journal’s CFO Journal – Deloitte reSources 2013, Study from the Deloitte Center for Energy Solutions
of companies have set goals
regarding electricity and energy
management practices
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But without complete commitment to energy
management, businesses aren’t getting their full value
Wall Street Journal’s CFO Journal – Deloitte reSources 2013, Study from the Deloitte Center for Energy Solutions
40% of businesses have allocated a pool of funds
for investing in energy management
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Propelling energy to the forefront of business decisions
Deloitte Resources 2015 Study Energy management passes the point of no return
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Energy touches many parts of the organisation
Operational
inefficiencies
Managing risk
Unpredictable
budgets
Tracking
energy costs
Decentralised
systems
Meeting
compliance
requirements
Finance Operations Energy Procurement Production Facilities Sustainability
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So, there are many factors to consider when it comes
to energy…
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Energy is too complex to manage alone
Business process
transformation
Customer engagement
Pricing
Project
management
Communication
Back office
management
Policy enforcement
Regulatory compliance
Automation
Reporting
Risk management
Transaction
complexity
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Manage energy like you manage other costs
Extract production value from energy management
• KPIs to track energy costs of production
• Tackle primary drivers of cost to increase
product margins
Treat energy like overhead
(just make sure your bills get paid on time)
Enterprise Costs
Materials
Direct Labor
Energy
Capital Equipment
Repairs and Maintenance
Selling and Administrative
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EnerNOC EIS: A new class of enterprise software
Customers
(CRM) Financials
(ERM)
Employees
(HCM) Energy
(EIS)
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Energy costs are determined by three primary drivers Effective EIS must allow you to quickly understand and address all three
Buying energy isn’t
as simple as paying
a monthly bill.
The cheapest kilowatt hour
is the one you don’t use.
Not all kilowatts
are created
equal.
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Carbon reduction is a key focus of the business and
features in our Love Every Drop goals, Outcomes and
Outcome Delivery Incentives
Exceed a 7% reduction in real terms in gross operational carbon by 2020 from a 2015 baseline
Deliver a 60% reduction in capital (embodied) carbon by 2020 from a 2010 baseline
ODI
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Data is powerful in making better decisions, ensuring
initiative achievement, and identifying higher priorities
Utility bill data
(30 days)
Supplier data
(T+1 day)
Real-time data
With real-time data, the energy manger moves from
reactive to proactive energy management.
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The Power of Real-Time Energy Data: example 1 Utility bills and T+1 data don’t demonstrate the use of surplus budget in December 2014
(in fact, it looks like a potentially serious issue!), but financial tracking and notes can help.
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The Power of Real-Time Energy Data: example 1 Utility bills and T+1 data don’t demonstrate the use of surplus budget in December 2014
(in fact, it looks like a potentially serious issue!), but financial tracking and notes can help.
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The Power of Real-Time Energy Data: example 2 A sudden peak in demand on 25th March 2015 set a new capacity charge for the month.
Meter alerting could have identified the issue quickly and helped minimise charges.
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The Power of Real-Time Energy Data: example 2 A sudden peak in demand on 25th March 2015 set a new capacity charge for the month.
Meter alerting could have identified the issue quickly and helped minimise charges.
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The Power of Real-Time Energy Data: example 3 Effective Triad management on this single meter saved the organisation approximately
£35,000 last winter; real-time data ensures that Triad plans are successfully executed.
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The Power of Real-Time Energy Data: example 3 Effective Triad management on this single meter saved the organisation approximately
£35,000 last winter; real-time data ensures that Triad plans are successfully executed.
What if you could
predict a Triad day?
And even automatically
reduce load from your phone?
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The less energy managers are looking in the rear-view mirror,
the more they can advance energy strategy and commitment.
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FASTER ROUTE saves 2 minutes
FASTER ROUTE saves 14 minutes
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Image by א (Aleph),http://creativecommons.org/licenses/by-sa/2.5
RudolfSimon, https://commons.wikimedia.org/wiki/File:Claus_von_Wagner1.JPG
Deadline: http://pmcdeadline2.files.wordpress.com/2012/09/davidcameron__120925092942-150x150.jpg?w=150&h=150/
Is this David Cameron?
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You can apply machine learning and other predicted factors to create
accurate predictions of energy consumption at a granular level
Weather Data
Demand
Data is always being trained
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Machine learning constantly improves prediction—training data
More Data Better Accuracy
and Speed
Over More Time
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But all the user sees is easy
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A stronger commitment to energy management begins
with your EMEX attendance today
When it comes to energy management, bear in mind:
• Energy is critical to running a good business
• The complexity of energy requires a holistic solution
• Real-time data is as powerful as what you are able to do with it
EnerNOC’s EIS is making it easy to transform energy
management across your organisation.