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Prerequisites of efficient decentralized waste heat recovery and energy storage in production planning

Author

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  • Konstantin Biel

    (Technische Universität Darmstadt)

  • Christoph H. Glock

    (Technische Universität Darmstadt)

Abstract

Following the scarcity of resources, rising energy prices, and an increasing awareness of the role manufacturing plays in the generation of greenhouse gas emissions, the usage of energy has more and more been considered in research on production planning and scheduling in recent years. Time-varying energy prices, which have been introduced to penalize energy usage during peak-demand periods and which are supposed to smooth energy demand, have added a new aspect to this stream of research. This article studies how the integration of a waste heat recovery system, which can convert industrial waste heat into electrical energy, along with an electrical energy storage system can balance the positive and negative effects of energy peak prices on the production plan in a serial multi-stage production system. After developing an appropriate model, we investigate how the use of the waste heat recovery system and the electrical energy storage system impact production planning. In a numerical analysis, we investigate under which conditions the recovery of waste heat combined with the opportunity to store energy provides practitioners with an efficient tool to lower total energy usage and to better react to time-varying energy prices, and thus to reduce total energy cost.

Suggested Citation

  • Konstantin Biel & Christoph H. Glock, 2017. "Prerequisites of efficient decentralized waste heat recovery and energy storage in production planning," Journal of Business Economics, Springer, vol. 87(1), pages 41-72, January.
    • Handle: RePEc:spr:jbecon:v:87:y:2017:i:1:d:10.1007_s11573-016-0804-x
    DOI: 10.1007/s11573-016-0804-x
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    as
    1. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    2. Hung, T.C. & Wang, S.K. & Kuo, C.H. & Pei, B.S. & Tsai, K.F., 2010. "A study of organic working fluids on system efficiency of an ORC using low-grade energy sources," Energy, Elsevier, vol. 35(3), pages 1403-1411.
    3. Fernandez, Mayela & Li, Lin & Sun, Zeyi, 2013. "“Just-for-Peak” buffer inventory for peak electricity demand reduction of manufacturing systems," International Journal of Production Economics, Elsevier, vol. 146(1), pages 178-184.
    4. Biel, K. & Glock, C. H., 2014. "On the use of waste energy in a two-stage production system with controllable production rates," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 66459, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Wang, E.H. & Zhang, H.G. & Fan, B.Y. & Ouyang, M.G. & Zhao, Y. & Mu, Q.H., 2011. "Study of working fluid selection of organic Rankine cycle (ORC) for engine waste heat recovery," Energy, Elsevier, vol. 36(5), pages 3406-3418.
    6. Schneider, Maximilian & Biel, K. & Pfaller, S. & Schaede, Hendrik & Rinderknecht, Stephan & Glock, C. H., 2015. "Optimal Sizing of Electrical Energy Storage Systems using Inventory Models," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 74986, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Zanoni, Simone & Bettoni, Laura & Glock, Christoph H., 2014. "Energy implications in a two-stage production system with controllable production rates," International Journal of Production Economics, Elsevier, vol. 149(C), pages 164-171.
    8. Chen, Huijuan & Goswami, D. Yogi & Stefanakos, Elias K., 2010. "A review of thermodynamic cycles and working fluids for the conversion of low-grade heat," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3059-3067, December.
    9. Gahm, Christian & Denz, Florian & Dirr, Martin & Tuma, Axel, 2016. "Energy-efficient scheduling in manufacturing companies: A review and research framework," European Journal of Operational Research, Elsevier, vol. 248(3), pages 744-757.
    10. Hasanbeigi, Ali & Price, Lynn, 2012. "A review of energy use and energy efficiency technologies for the textile industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3648-3665.
    11. Ashok, S., 2006. "Peak-load management in steel plants," Applied Energy, Elsevier, vol. 83(5), pages 413-424, May.
    12. Denton, Frank T. & Jefferies, Kevan L. & Mountain, Dean C. & Robb, A. Leslie & Spencer, Byron G., 1987. "The response of an industrial firm to alternative electricity rate structures : An optimization model for simulation applications," Resources and Energy, Elsevier, vol. 9(4), pages 327-346, December.
    13. Fang, Hao & Xia, Jianjun & Zhu, Kan & Su, Yingbo & Jiang, Yi, 2013. "Industrial waste heat utilization for low temperature district heating," Energy Policy, Elsevier, vol. 62(C), pages 236-246.
    14. repec:dar:wpaper:74992 is not listed on IDEAS
    15. Xiuli Chao & Frank Y. Chen, 2005. "An Optimal Production and Shutdown Strategy when a Supplier Offers an Incentive Program," Manufacturing & Service Operations Management, INFORMS, vol. 7(2), pages 130-143, March.
    16. Liu, Yan & Yang, Jian & Wang, Jin & Cheng, Zhi-long & Wang, Qiu-wang, 2014. "Energy and exergy analysis for waste heat cascade utilization in sinter cooling bed," Energy, Elsevier, vol. 67(C), pages 370-380.
    17. Wang, Yong & Li, Lin, 2013. "Time-of-use based electricity demand response for sustainable manufacturing systems," Energy, Elsevier, vol. 63(C), pages 233-244.
    18. Zanoni, S. & Bettoni, L. & Glock, C. H., 2014. "Energy Implications in a Two-Stage Production System with Controllable Production Rates," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 62117, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    19. Nilsson, K. & Söderström, M., 1993. "Industrial applications of production planning with optimal electricity demand," Applied Energy, Elsevier, vol. 46(2), pages 181-192.
    20. Ibarra, Mercedes & Rovira, Antonio & Alarcón-Padilla, Diego-César & Blanco, Julián, 2014. "Performance of a 5kWe Organic Rankine Cycle at part-load operation," Applied Energy, Elsevier, vol. 120(C), pages 147-158.
    21. Quader, M. Abdul & Ahmed, Shamsuddin & Ghazilla, Raja Ariffin Raja & Ahmed, Shameem & Dahari, Mahidzal, 2015. "A comprehensive review on energy efficient CO2 breakthrough technologies for sustainable green iron and steel manufacturing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 594-614.
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    Cited by:

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    More about this item

    Keywords

    Energy efficiency; Sustainable manufacturing system; Energy usage; Production planning; Waste heat recovery; Electrical energy storage system;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • L6 - Industrial Organization - - Industry Studies: Manufacturing

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