A time-indexed integer programing approach is developed to optimize the manufacturing schedule of a factory for minimal energy cost under real-time pricing (RTP) of electricity. The approach is demonstrated using a flow shop operating during different time periods (i.e., day shift, swing shift, and night shift) in a microgrid, which also serves residential and commercial users. Results show that electricity cost can be reduced by 6.2%, 12.3%, and 21.5% for the three time periods considered, respectively. Additionally, a 6.3% cost reduction can be achieved by the residential and commercial buildings through adopting energy-conscious control strategies in this specific case study example.
Scheduling of a Single Flow Shop for Minimal Energy Cost Under Real-Time Electricity Pricing
Manuscript received November 22, 2014; final manuscript received July 5, 2016; published online August 15, 2016. Assoc. Editor: Dragan Djurdjanovic.
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Zhang, H., Zhao, F., and Sutherland, J. W. (August 15, 2016). "Scheduling of a Single Flow Shop for Minimal Energy Cost Under Real-Time Electricity Pricing." ASME. J. Manuf. Sci. Eng. January 2017; 139(1): 014502. https://doi.org/10.1115/1.4034275
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