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.