Skip to main content

Advertisement

Log in

Hybrid simulation and energy market based optimization of cement plants

  • Special Issue Paper
  • Published:
Computer Science - Research and Development

Abstract

This paper presents an approach for equipping a cement plant with a wind power plant, a battery storage and an optimized control in order to reduce electricity supply cost and carbon dioxide (CO2) emissions as cement manufacturing is a traditional energy-intensive industrial process, that accounts for around 5% of global CO2 emissions. Therefore, a hybrid simulation model of a cement plant with an integrated optimized control algorithm, a wind turbine model including 24-h forecasts, and market access to the German day-ahead electricity market and the FRR market was built up. The results show, that applying only an optimized control of the cement plant without offering its flexibilities and renewable power supply in combination with a battery storage only causes a slight benefit. Adding flexibility and marketing to the model provides significant cost savings. Adding renewable energy sources and a battery storage to the cement plant can cause a further significant decrease of electricity supply cost per produced ton cement under certain conditions. Regarding the CO2 emissions, installing a wind turbine has an decreasing impact, depending on the location.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Bazan P, Luchscheider P, German R (2015) Rapid modeling and simulation of hybrid energy networks. In: Proceedings of the 2015 SmartER Europe conference. E-world energy & water, Essen

  2. Deutscher Wetterdienst: http://www.dwd.de. Accessed 21 Oct 2016

  3. ENTSO-E (2014) Network code on electricity balancing. Final draft, Brussels

  4. European Power Exchange: http://www.epexspot.com. Accessed 21 Oct 2016

  5. Fabozzi D, Thornhill NF, Pal BC (2013) Frequency restoration reserve control scheme with participation of industrial loads. In: PowerTech, 2013. IEEE, Grenoble, pp 1–6

  6. GAMS: http://gams.com. Accessed 21 Oct 2016

  7. GUROBI: http://gurobi.com. Accessed 21 Oct 2016

  8. Internetplattform zur Vergabe von Regelleistung (2016) Regelleistung.net. http://www.regelleistung.net

  9. Landgraf M (2009) Grüner zement. Online press information. http://www.kit.edu/kit/pi_2009_610.php. Accessed 21 Oct 2016

  10. lp_solve. http://sourceforge.net/projects/lpsolve/. Accessed 21 Oct 2016

  11. Madlool N, Saidur R, Hossain M, Rahim N (2011) A critical review on energy use and savings in the cement industries. Renew Sustain Energy Rev 15(4):2042–2060

    Article  Google Scholar 

  12. Mitra S, Grossmann IE, Pinto JM, Arora N (2012) Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes. Comput Chem Eng 38:171–184

    Article  Google Scholar 

  13. Schneider M, Romer M, Tschudin M, Bolio H (2011) Sustainable cement production—present and future. Cement Concrete Res 41(7):642–650

    Article  Google Scholar 

  14. Sucic B, Al-Mansour F, Pusnik M, Vuk T (2016) Context sensitive production planning and energy management approach in energy intensive industries. Energy 108:63–73. doi:10.1016/j.energy.2015.10.129

  15. Swanepoel J (2013) Modelling for integrated energy optimisation in cement production. In: 2013 Proceedings of the 10th industrial and commercial use of energy conference (ICUE), pp 1–6. IEEE, New York

  16. Swanepoel JA, Mathews EH, Vosloo J, Liebenberg L (2014) Integrated energy optimisation for the cement industry: a case study perspective. Energy Convers Manag 78:765–775

    Article  Google Scholar 

  17. thyssenkrupp Industrial Solutions AG (2016) Cement industry—sustainable, cost-effectiveffective overall solutions. http://www.thyssenkrupp-industrial-solutions.com. Accessed 21 Oct 2016

  18. thyssenkrupp AG: http://www.thyssenkrupp.com. Accessed 21 Oct 2016

  19. Venter GS (2008) A new DSM simulation model for South African cement plants/GS venter. Ph.D. thesis, North-West University

Download references

Acknowledgments

D. Steber and P. Bazan are also a members of “Energy Campus Nürnberg”, Fürther Str. 250, 90429 Nürnberg, Germany. Their research was performed as part of the “Energy Campus Nürnberg” and supported by funding through the “Aufbruch Bayern (Bavaria on the move)” initiative of the Bavarian state. The thyssenkrupp AG and its Corporate Function Technology, Innovation and Sustainability together with thyssenkrupp Resource Technology and thyssenkrupp TechCenter Control Technology provided support to the preparation of the use case and the system configuration as well as the project execution.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Reinhard German.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bazan, P., Steber, D. & German, R. Hybrid simulation and energy market based optimization of cement plants. Comput Sci Res Dev 32, 65–77 (2017). https://doi.org/10.1007/s00450-016-0305-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00450-016-0305-8

Keywords

Navigation