more awareness. better business.

13-10-2014 1

Up to 30% energy saving

with artificial intelligence and monitoring

“All our energy consumption is affected by human action directly or indirectly”

enerGQ, Rob Burghard Industrial Morning, Den Bosch, 9-10-2013

13-10-2014 2

We believe that sustainable growth of companies works only if these three factors

(FC, HC, NC) are in harmony with each other at work, at home and on the go.

Financial capital

Human capital Natural capital

Sustainable growth

3

The Team

Rob Burghard – Sales & Development

Norbert Hooft – Logistics & Development

Ton van Ewijk – Operations & Finance

Robert Arends – Sales & web design

Eyso Zanstra – Software development

Christiaan de Wit – Software development

Robert Esseboom – Sales & design

Energy Business Plaza

Laan Corpus den Hoorn 300

9728 JT Groningen

www.energq.com

Partners: RUG, GasTerra, TheRockGroup,

Felpro, S&S Systems, Energy Challenges,

Interay, LTO, Triade, 3T-Logic, Satec.

The Company

enerGQ develops and markets low cost self-learning energy

management systems to a full range of organizations from households

to multi-nationals in all sectors of the market. Our aim is to contribute

to “stop the global warming” in 5 years by licensing the technology.

energy analysis &

baselining = infrastructure

energy efficiency

energy conservation

(= changing behaviour)

time of use

management

re-

newable

Based on Energy Pyramid from EnSave Inc.

Global CO2 emissions all-time

high in 2013: 39 billion tons.

the problem from household

to multinational:

Human activity is cause

of excess energy

consumption:

• Operation

• Housekeeping

• Maintenance

Due to lack of

• Self efficacy

• Knowledge

• Awareness

• Right attitude

• Right social

norm

Deviation energy monitoring is

fundamental for transition

++ + -

- - energy consumption*

frequency

actual

average

best

Added Values: Low

Cost, payback: <1 year

5% - 30% savings

Development of

Right social norm

Right attitude

Knowledge,

Self-Efficacy

Awareness

The Problem and The Transition

1. People related 42%

2. Equipment related 36% (is often people related, but indirectly)

3. Process related 22% (input, output & external factors) +

> 75% People related

Conclusion:

Focus on behavior when you want to eliminate

excess energy consumption

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Because processes consume

energy, these variations cause

excess energy consumption.

Causes of Variations of Abnormal

Situations in Processes

fre

qu

en

cy

consumption* * Consumptions are compared at same combinations of conditions

current consumption potential consumption

“target” baseline +

potential

settings

behaviour

1 - 4 months

days - week

weeks - months

5- 15 % 5- 15 %

less spread because of new behaviour

energy efficiency

over months - years 5% – 30% saving

investments

fast & promising

good average bad New situation

good average bad

The Roadmap

1. Equipment is not switched off at all

2. Equipment is switched on too early or switched off too late

3. Equipment is operated inefficiently

4. Equipment impacts other equipment disadvantageously

5. Sub-optimal housekeeping

6. Sub-optimal maintenance

7. Sub-optimal set points and control

8. Unauthorized use of equipment

9. Unusual situations where too much equipment remains switched on

10. Entire processes or process parts are running inefficient

11. Sensors for measurement and control are becoming inaccurate

12. Poor production planning

enerGQ compares real-time the actual energy consumption against the best

performance ever realized under comparable circumstances.

This way excess consumption is detected and can be prevented . Energy is saved:

10% - 30% 7 13-10-2014

Important causes of excess

energy consumption

Executive Summary

The concept

energy

awareness

Deviation from normal

consumption; cumulative

Deviation from normal

consumption; momentaneous

Dashboard

Added Values: Low Cost, payback: 1 year – 3 months @ 5% - 30% savings

what’s innovative?

in the air on the road

near future