Advertisement

Efficient Energy Performance Indicators for Different Level of Production Organizations in Manufacturing Companies

  • Hendro Wicaksono
  • Tim Belzner
  • Jivka Ovtcharova
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 414)

Abstract

Demands for lower CO2 emissions due to the climate change and the rising of energy prices force manufacturing companies to deal with the energy issue. Energy management, where one of the tasks is energy efficiency evaluation, can help the companies to overcome the issue. This paper presents holistic metric to evaluate the energy efficiency in manufacturing companies, which considers the different organization level of production, such as machine or equipment level, production line level, and factory level. As the size of the scope and the number of observed factors vary, the metric provide flexible criteria to select relevant variables. The developed metric could be used to simulate and to compare energy efficiency of different production facilities, lines, and factories in a single company. The metric is an instrument to recognize how energy (in) efficient is a production system, so that adjustments may be made in the planning and management to achieve the energy savings.

Keywords

Energy Efficiency Production Facility International Energy Agency International Energy Agency Energy Management System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Deutsche Energie-Agentur: Energiemanagement (2012), http://www.industrie-energieeffizienz.de/energiemanagement.html (accessed on April 2, 2012)
  2. 2.
    Kahlenborn, W., Kabisch, S., Klein, J., Richter, I., Schürmann, S.: DIN EN 16001: Energy Management Systems in Practice - A Guide for Companies and Organisations. Bundesministerium für Umwelt., Naturschutz und Reaktorsicherheit, Berlin, Germany (2010)Google Scholar
  3. 3.
    Milgram, L., Spector, A., Treger, M.: Plan, Do, Check, Act: The Deming or Shewhart Cycle. In: Managing Smart. vol. 25. Gulf Professional Publishing (1999)Google Scholar
  4. 4.
    Kals, J.: Betriebliches Energiemanagement - Eine Einführung. Verlag W. Kohlhammer, Stuttgart (2010)Google Scholar
  5. 5.
    Verein Deutscher Ingenieure (VDI): Energeticcharacteristics: definitions – terms – methodology. Beuth Verlag GmbH, Düsseldorf (2003)Google Scholar
  6. 6.
    Müller, E., Engelmann, J., Löffler, T., Strauch, J.: Energieeffiziente Fabriken planen und betreiben. Springer (2009)Google Scholar
  7. 7.
    Boyd, G.: Development of a Performance-Based Industrial Energy Efficiency Indicator for Automobile Assembly Plants. Technical Report, Argonne National Laboratory, Decision and Information Sciences Division, Chicago (2005)Google Scholar
  8. 8.
    Boyd, G.: Development of a Performance-based Industrial Energy Efficiency Indicator for Glass Manufacturing Plants. Technical Report, Duke University, Department of Economics, Durham, North Carolina (2009)Google Scholar
  9. 9.
    Boyd, G.: Development of a Performance-based Industrial Energy Efficiency Indicator for Cement Manufacturing Plants. Technical Report, Argonne National Laboratory, Decision and Information Sciences Division, Chicago (2006)Google Scholar
  10. 10.
    Boyd, G., Zhang, G.: Measuring Improvement in the Energy Performance of the U.S. Cement Industry. Technical Report, Duke University, Department of Economics, Durham, North Carolina (2011)Google Scholar
  11. 11.
    European Energy Efficiency: Analysis of ODYSSEE indicators. Technical Report. Department of Energy & Climate Change, London (2012)Google Scholar
  12. 12.
    Tanaka, K.: Assessing Measures of Energy Efficiency Performance and their Application in Industry. Technical Report, International Energy Agency (IEA), Paris, France (2008)Google Scholar
  13. 13.
    Fünfgeld, C.: Energiekosten im Betrieb. Solar Promotion. GmbH-Verlag, Munich (2000)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Hendro Wicaksono
    • 1
  • Tim Belzner
    • 1
  • Jivka Ovtcharova
    • 1
  1. 1.Institute for Information Management in EngineeringKarlsruhe Institute of TechnologyKarlsruheGermany

Personalised recommendations