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A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
A cross-layer approach to energy management in manufacturing
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A cross-layer approach to energy management in manufacturing

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Conference: 2012 IEEE International Conference on Industrial Informatics …

Conference: 2012 IEEE International 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

Published in: Technology, Business
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  • 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
  • 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.
  • 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.
  • Approaches to modelling and knowledge representation are out of the scope of present paper.
  • Transcript

    • 1. A cross-layer approach to energy management in manufacturingDate: July, 2012 Conference: 2012 IEEE InternationalLinked 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 LastraContact informationTampere University of Technology, If you would like to receive a reprint ofFAST Laboratory, the original paper, please contact usP.O. Box 600,FIN-33101 Tampere,FinlandEmail: fast@tut.fiwww.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. BackgroundThe distributed manufacturing enterpriseContributors 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 + PersonnelSaving opportunitiesIntegration challengesIncreased time/cost
    • 6. BackgroundSaving opportunitiesRerouting 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 optimisationbased 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.ficorina.postelnicu@tut.fi
    • 12. Related workframework based on ISO 9000 and ISO 14000 quality and environmental management standardsto 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 sourceslack 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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