Skip to main content

Implementation of an Energy Metering System for Smart Production

  • Chapter
  • First Online:

Abstract

Digitization is consecutively changing more and more areas of human living. Many products are designed increasingly “smart” and connected to their environment. Not only products but also the necessary production facilities and systems are subject to digital change. The goal is to achieve a wide range of improvements and increase the efficiency and flexibility of the interlinked production systems. In Industry 4.0, important production parameters are measured and monitored with the help of sensors. Based on analyses of those data, adjustments and improvements of the production system can be performed. This paper presents the concept and physical implementation of an advanced energy metering system on a factory demonstrator, the so-called SmartFactory 4.0. It produces beverage coasters, which can be designed freely by the customer in shape, material and colour and is produced directly or remotely through a web application. The SmartFactory 4.0 consists of three production modules, which are connected to one another by means of media and information technology. The advanced energy metering system is designed in order to measure and monitor energy consumptions in various production steps. Those data are compared to previous simulations. Steps for the improvement of the energy efficiency of the SmartFactory 4.0 are derived.

This paper presents first test results from the application of the system. For different individualized gravures and two different colours (green and orange) with various depths of the produced beverage coaster, energy consumptions of the production have been metered over time. The measured data are analysed and evaluated, and suitable steps for improvement are given. Finally, this research provides suggestions for scaling the energy metering system to larger production systems, and a systematic procedure for implementation is given. This research constitutes one step in the direction of utilizing the concept of the digital factory twin for the improvement of energy efficiency and sustainability of production systems.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Thames L, Schaefer D. Cybersecurity for industry 4.0. New York: Springer; 2017.

    Book  Google Scholar 

  2. Ríos J, Bernard A, Bouras A et al. Product Lifecycle Management and the Industry of the Future: 14th IFIP WG 5.1 International Conference, PLM 2017, Seville, Spain, July 10–12, 2017, Revised Selected Papers. New York: Springer; 2017

    Google Scholar 

  3. Giusto D, Iera A, Morabito G, et al. The internet of things: 20th Tyrrhenian workshop on digital communications. New York: Springer Science & Business Media; 2010.

    Book  Google Scholar 

  4. Wang S, Wan J, Li D, et al. Implementing smart factory of industrie 4.0: an outlook. Int J Distributed Sensor Netw. 2016;12(1):3159805.

    Article  Google Scholar 

  5. McKinsey Report. How to Navigate Digitization of the Manufacturing Sector; 2015.

    Google Scholar 

  6. Lödding H, Riedel R, Thoben K-D, et al. Advances in production management systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing: IFIP WG 5.7 International Conference, APMS 2017Hamburg, Germany, September 3–7, 2017, Proceedings. New York: Springer; 2017.

    Google Scholar 

  7. Siemens AG. Digitization in industry: twins with potential. 2018. https://www.siemens.com/customer-magazine/en/home/industry/digitalization-in-machine-building/the-digital-twin.html.

  8. Davis J, Edgar T, Porter J, et al. Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Comput Chem Eng. 2012;47:145–56.

    Article  CAS  Google Scholar 

  9. Adolphs P, Bedenbender H, Dirzus D et al. Reference architecture model industrie 4.0 (rami4. 0). ZVEI and VDI, Status Report; 2015.

    Google Scholar 

  10. Grieves M, Vickers J. Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems. In: Kahlen F-J, Flumerfelt S, Alves A, editors. Transdisciplinary perspectives on complex systems. New York: Springer; 2017. p. 85–113.

    Chapter  Google Scholar 

  11. Stark R, Kind S, Neumeyer S. Innovations in digital modelling for next generation manufacturing system design. CIRP Ann. 2017;66(1):169–72.

    Article  Google Scholar 

  12. Larek R, Brinksmeier E, Meyer D, et al. A discrete-event simulation approach to predict power consumption in machining processes. Prod Eng. 2011;5(5):575.

    Article  Google Scholar 

  13. O’Driscoll E, Cusack DO, O’Donnell GE. Implementation of energy metering systems in complex manufacturing facilities–a case study in a biomedical facility. 9th CIRP IPSS Conference: Circular Perspectives on PSS 1; 2012. p. 524–529.

    Google Scholar 

  14. He Y, Liu F, Wu T, et al. Analysis and estimation of energy consumption for numerical control machining. Proc Inst Mech Eng B J Eng Manuf. 2012;226(2):255–66.

    Article  Google Scholar 

  15. Duflou JR, Kellens K, Guo Y, et al. Critical comparison of methods to determine the energy input for discrete manufacturing processes. CIRP Ann. 2012;61(1):63–6.

    Article  Google Scholar 

  16. Damerau T, Vorsatz T. Batch size 1: the »Smart Factory 4.0« demonstration cell. Futur 2016;1–3.

    Google Scholar 

  17. Open Energy Monitor. Resources. 2017. https://openenergymonitor.org/. Accessed 28 Aug 2018.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Friedrich A. Halstenberg .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Halstenberg, F.A., Lindow, K., Stark, R. (2019). Implementation of an Energy Metering System for Smart Production. In: Hu, A., Matsumoto, M., Kuo, T., Smith, S. (eds) Technologies and Eco-innovation towards Sustainability II. Springer, Singapore. https://doi.org/10.1007/978-981-13-1196-3_11

Download citation

Publish with us

Policies and ethics