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A cross-layer approach to energy
          management in manufacturing
Date: July, 2012                    Conference: 2012 IEEE International
Linked to: RTD research at FAST     Conference on Industrial Informatics

                                    Title of the paper: A cross-layer
                                    approach to energy management in
                                    manufacturing
                                    Authors: Anna Florea, Jorge A. Garcia
                                    Izaguirre Montemayor, Corina Postelnicu,
                                    Jose L. Martinez Lastra
Contact information
Tampere University of Technology,
                                    If you would like to receive a reprint of
FAST Laboratory,
                                    the original paper, please contact us
P.O. Box 600,
FIN-33101 Tampere,
Finland
Email: fast@tut.fi
www.tut.fi/fast
A cross-layer approach to energy management in
                                  manufacturing


                      Anna Florea
          Jorge A. Garcia Izaguirre Montemayor
                   Corina Postelnicu
                 Jose L. Martinez Lastra

        Tampere University of Technology, Finland
Outline


 Background + The addressed problem.
 Proposed Architecture for Cross-layer Energy
  Management
 Summary
Background
The distributed manufacturing enterprise

Contributors to overall energy consumption:
 Manufacturing equipment
 Collaboration / Competition patterns between devices/factories
Background
          The distributed manufacturing enterprise

          Contributors to overall energy consumption:
           Manufacturing equipment
           Collaboration / Competition patterns between devices/factories
          + Buildings
          + Personnel


Saving opportunities

Integration challenges
Increased time/cost
Background
Saving opportunities

Rerouting the solar energy acquired by the building to the MES
  system because e.g.
         Energy prices in a certain time range are high and
         the energy required to heat/illuminate the building need
  not be so much ( humans do not usually reside in the area at
  that time slot of the day)
Cross layer Energy Management
     Proposed Architecture
                                         long term strategic
                                         efficiency objectives




                                          Business relevant targets




                                                                      Reports
                                        short-term optimisation
based on:
 Service Oriented Architecture (SOA)
 Complex Event Processing (CEP)
Manufacturing Execution Systems level
    mEMS structure




 SOA 2.0 technologies
Enterprise Resource Planning level
     eEMS structure
Summary


 cross-layer approach proposed for Energy Management
  Systems implementation in manufacturing enterprises

 SOA 2.0 technologies
    Web Services for implementation of data acquisition
     from heterogeneous sources, and exposure of
     reporting tools
    Complex Event Processing for analysis and reasoning
     towards improved energy performance.
Thank you!


   anna.florea@tut.fi
corina.postelnicu@tut.fi
Related work


framework based on ISO 9000 and ISO 14000 quality and
  environmental management standards
to facilitate EMS design:
   EN 16001:2009 Energy Management Systems
  ISO 50001: Energy managements systems – Requirements with
  guidance for use.

EMS focus either on particular industrial sites or specific energy
 sources

lack of infrastructure resulting in a failure to allow real-time decision
  making based on on-line information coupled with business
  processes

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A cross-layer approach to energy management in manufacturing

  • 1. A cross-layer approach to energy management in manufacturing Date: July, 2012 Conference: 2012 IEEE International Linked to: RTD research at FAST Conference on Industrial Informatics Title of the paper: A cross-layer approach to energy management in manufacturing Authors: Anna Florea, Jorge A. Garcia Izaguirre Montemayor, Corina Postelnicu, Jose L. Martinez Lastra Contact information Tampere University of Technology, If you would like to receive a reprint of FAST Laboratory, the original paper, please contact us P.O. Box 600, FIN-33101 Tampere, Finland Email: fast@tut.fi www.tut.fi/fast
  • 2. A cross-layer approach to energy management in manufacturing Anna Florea Jorge A. Garcia Izaguirre Montemayor Corina Postelnicu Jose L. Martinez Lastra Tampere University of Technology, Finland
  • 3. Outline  Background + The addressed problem.  Proposed Architecture for Cross-layer Energy Management  Summary
  • 4. Background The distributed manufacturing enterprise Contributors to overall energy consumption:  Manufacturing equipment  Collaboration / Competition patterns between devices/factories
  • 5. Background The distributed manufacturing enterprise Contributors to overall energy consumption:  Manufacturing equipment  Collaboration / Competition patterns between devices/factories + Buildings + Personnel Saving opportunities Integration challenges Increased time/cost
  • 6. Background Saving opportunities Rerouting the solar energy acquired by the building to the MES system because e.g.  Energy prices in a certain time range are high and  the energy required to heat/illuminate the building need not be so much ( humans do not usually reside in the area at that time slot of the day)
  • 7. Cross layer Energy Management Proposed Architecture long term strategic efficiency objectives Business relevant targets Reports short-term optimisation based on:  Service Oriented Architecture (SOA)  Complex Event Processing (CEP)
  • 8. Manufacturing Execution Systems level mEMS structure  SOA 2.0 technologies
  • 9. Enterprise Resource Planning level eEMS structure
  • 10. Summary  cross-layer approach proposed for Energy Management Systems implementation in manufacturing enterprises  SOA 2.0 technologies  Web Services for implementation of data acquisition from heterogeneous sources, and exposure of reporting tools  Complex Event Processing for analysis and reasoning towards improved energy performance.
  • 11. Thank you! anna.florea@tut.fi corina.postelnicu@tut.fi
  • 12.
  • 13. Related work framework based on ISO 9000 and ISO 14000 quality and environmental management standards to facilitate EMS design: EN 16001:2009 Energy Management Systems ISO 50001: Energy managements systems – Requirements with guidance for use. EMS focus either on particular industrial sites or specific energy sources lack of infrastructure resulting in a failure to allow real-time decision making based on on-line information coupled with business processes

Notes de l'éditeur

  1. Rerouting the solar energy acquired by the building to the MES system because e.g. Energy prices in a certain time range are high and the energy required to heat/illuminate the building need not be so much because humans do not reside in the area at that time slot of the day
  2. DAE collecting relevant data from BA and FA systems, computation of Key Performance Indicators (KPI) and storing this data in the corresponding (BAS or FAS) database. DSS fwd process chaining evaluates the acquired data and calculated KPI values with respect to the objectives defined in the Knowledge Base, stored in dedicated database, and suggests actions for performance improvement. SYNC check is done whether DSS output may propagate down to BAS and FAS.
  3. eEMS Report Engine to build and provide consolidated reports after accessing the database to obtain the required information. The RE functionality can be exposed as web service to the users.Reasoning in eEMS is to be implemented by means of a CEP engine, having the database as input and internal Knowledge Base, stored in dedicated database of CEP engine, for reasoning. The CEP engine analyzes energy consumption patterns, passes the refined information to other ERP systems, and updates the Knowledge Base of mEMS if needed.
  4. Approaches to modelling and knowledge representation are out of the scope of present paper.