2012 International Congress on Informatics, Environment, Energy and Applications (IEEA 2012)

1. A holistic view on energy efficiency in
manufacturing.
Date: March, 2012
Linked to: RTD research at FAST
Contact information
Tampere University of Technology,
FAST Laboratory,
P.O. Box 600,
FIN-33101 Tampere,
Finland
Email: fast@tut.fi
www.tut.fi/fast
Conference: 2012 International
Congress on
Informatics, Environment, Energy and
Applications (IEEA 2012)
Title of the paper: A holistic view on
energy efficiency in manufacturing
Authors: Anna Florea, Corina
Postelnicu, Jose Luis Martinez Lastra
If you would like to receive a reprint of
the original paper, please contact us

2. A holistic view on energy efficiency in
manufacturing.
Ms. Anna Florea
Dr. Corina Postelnicu
Prof. Jose L. Martinez Lastra
Tampere University of Technology, Finland

3. Outline
• Introduction and Background
• Motivation
• Concept description
• Future work

4. Introduction and Background
• Energy consumption champions
• Building sector
• 40% of energy end use in EU
• Industry
• ⅓ of Worlds energy needs is attributed to manufacturing sector
• Variable consumption rates
• Post-construction phase of building lifecycle
• Manufacturing process
• Mass production → mass customisation
• Information systems
• Building automation systems
• Factory automation systems

5. Motivation
Manufacturing
Energy
Management
Building
Energy
Management
Integrated
Energy
Management

6. Motivation
Prerequisites
Control for EE
EE mind-set
Green home
Green factory

7. Approaches to energy savings in
buildings and manufacturing facilities
Aspect Buildings Manufacturing
Limitation Comfort and safety of
inhabitants
Workers safety and comfort, technical
constraints
Smart Lighting Illumination level, occupancy,
activity
Illumination level, occupancy, activity,
process requirements
Consume to live Reasonable use of resources Monitoring, calibration maintenance
Stand-by vs. Off Avoid living home appliance in
stand-by mode
Finding compromise between cold start
and stand-by mode consumption
Peak hours consumption Avoid consuming in peak hours
Forecast consumption rates to make
precise orders from the supplier

8. Conceptual overview

9. Future work
• Reference model design
• Technology mix
• Cross-layer interoperability

10. Thank you!
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