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Light bulb versus coal
Problems of energy
industry
• Large losses and no accumulation ☞
opportunity

• No one wants to have power plant in their
backyard

• Raw (energy-primary) materials are
available sparsely and in politically
volatile regions mostly

• Enough cheap energy is basis for all
production and manufacturing
Power grid of
yesterday
Today’s reality
Task for power industry of
st
21 century is finding
efficiency
• Savings for end users: efficient savings

without significant change of user habits
through automation
(where “efficient” = 30-50 % in 10
years)

• Savings in production: Radical change
of production and distribution setup
(where “radical” = 1 generation)
So, how to save ...
• Thorough automation for end users clever algorithms

• Manage production according to
present conditions

• Shorten transmission lines
• Decrease investment risks
So, go decentralised, right?
Improvement: from simple to
complex grid
Task for Smart Grid and
Smart Metering

• Knowledge of individual user
energy profile

• Ability to predict demand and

respond on real time with supply

• Time-shift energy intense
activities

• Provide feedback for control of

CHP (combined heat and power),
PV and energy storage
Conclusions about
IoT
• Internet of Things is important for

improvement. It can help everywhere,
where we need to step up efficiency of
current resources.

• IoT is just a technology. To be clever is
your part of the game.

• IoT never comes without Big Data &
Smart Data Analysis.
Role of IoT & Big Data &
Analysis
• Analysis of discrete data streams.
• Finding hidden dependencies and trends.
• Prediction of future conditions of systems.
• Possibility to predict unpredictable.
Risks and / or Issues
• Increased complexity brings susceptibility
to errors.

• The system is de-facto closed and
therefore hard to audit.

• Possible problems can be massive and

can escalate exponentially. Few experts
really understand and can solve troubles.

• Mustn’t underestimate backup plan, which
we usually like to do.
•

Homework for
Webexpo 2035internet
We are on the cusp of interwoving
into all other industries (after IT, telco and
media).

• Huge opportunity to disrupt markets: lower
prices, better customer relationship,
increased satisfaction, availability and
quality of service.

• High risk transition, disruption of status
quo and increseas complexity.
See opportunity?
Anticipate risks?
thank you for your attention
patrick zandl
www.energomonitor.cz

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Light bulb versus coal: The future of energy efficiency through IoT, Big Data and Smart Grids

  • 1.
  • 3. Problems of energy industry • Large losses and no accumulation ☞ opportunity • No one wants to have power plant in their backyard • Raw (energy-primary) materials are available sparsely and in politically volatile regions mostly • Enough cheap energy is basis for all production and manufacturing
  • 6. Task for power industry of st 21 century is finding efficiency • Savings for end users: efficient savings without significant change of user habits through automation (where “efficient” = 30-50 % in 10 years) • Savings in production: Radical change of production and distribution setup (where “radical” = 1 generation)
  • 7. So, how to save ... • Thorough automation for end users clever algorithms • Manage production according to present conditions • Shorten transmission lines • Decrease investment risks So, go decentralised, right?
  • 8. Improvement: from simple to complex grid
  • 9. Task for Smart Grid and Smart Metering • Knowledge of individual user energy profile • Ability to predict demand and respond on real time with supply • Time-shift energy intense activities • Provide feedback for control of CHP (combined heat and power), PV and energy storage
  • 10. Conclusions about IoT • Internet of Things is important for improvement. It can help everywhere, where we need to step up efficiency of current resources. • IoT is just a technology. To be clever is your part of the game. • IoT never comes without Big Data & Smart Data Analysis.
  • 11. Role of IoT & Big Data & Analysis • Analysis of discrete data streams. • Finding hidden dependencies and trends. • Prediction of future conditions of systems. • Possibility to predict unpredictable.
  • 12. Risks and / or Issues • Increased complexity brings susceptibility to errors. • The system is de-facto closed and therefore hard to audit. • Possible problems can be massive and can escalate exponentially. Few experts really understand and can solve troubles. • Mustn’t underestimate backup plan, which we usually like to do.
  • 13. • Homework for Webexpo 2035internet We are on the cusp of interwoving into all other industries (after IT, telco and media). • Huge opportunity to disrupt markets: lower prices, better customer relationship, increased satisfaction, availability and quality of service. • High risk transition, disruption of status quo and increseas complexity.
  • 15. thank you for your attention patrick zandl www.energomonitor.cz