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Energy economics in the manufacturing industry: A return on investment strategy

Author

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  • Brundage, Michael P.
  • Chang, Qing
  • Zou, Jing
  • Li, Yang
  • Arinez, Jorge
  • Xiao, Guoxian

Abstract

Manufacturers lack the economic tools to properly perform maintenance procedures to increase manufacturing reliability while reducing system energy consumption. A return on investment strategy is developed to provide plant managers with a quantitative method to optimize the maintenance actions that lead to the largest return on investment. Over the long term, this energy economic analysis results in the largest decrease in energy costs for a manufacturing facility. A control methodology is developed to increase profits on a daily basis by inserting energy opportunity windows at various machines thus reducing energy consumption with minimal production impact. A simulation case study is performed to validate the return on investment strategy and to test the control methodology's impact on the overall profit of the facility.

Suggested Citation

  • Brundage, Michael P. & Chang, Qing & Zou, Jing & Li, Yang & Arinez, Jorge & Xiao, Guoxian, 2015. "Energy economics in the manufacturing industry: A return on investment strategy," Energy, Elsevier, vol. 93(P2), pages 1426-1435.
  • Handle: RePEc:eee:energy:v:93:y:2015:i:p2:p:1426-1435
    DOI: 10.1016/j.energy.2015.10.038
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    References listed on IDEAS

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    Cited by:

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    4. Liang Yang & Qinming Liu & Tangbin Xia & Chunming Ye & Jiaxiang Li, 2022. "Preventive Maintenance Strategy Optimization in Manufacturing System Considering Energy Efficiency and Quality Cost," Energies, MDPI, vol. 15(21), pages 1-18, November.
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    6. Zou, Jing & Chang, Qing & Arinez, Jorge & Xiao, Guoxian, 2017. "Data-driven modeling and real-time distributed control for energy efficient manufacturing systems," Energy, Elsevier, vol. 127(C), pages 247-257.

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