LAPSE:2020.0161
Published Article
LAPSE:2020.0161
Model and Algorithm for Planning Hot-Rolled Batch Processing under Time-of-Use Electricity Pricing
Zhengbiao Hu, Dongfeng He, Wei Song, Kai Feng
February 3, 2020
Batch-type hot rolling planning highly affects electricity costs in a steel plant, but previous research models seldom considered time-of-use (TOU) electricity pricing. Based on an analysis of the hot-rolling process and TOU electricity pricing, a batch-processing plan optimization model for hot rolling was established, using an objective function with the goal of minimizing the total penalty incurred by the differences in width, thickness, and hardness among adjacent slabs, as well as the electricity cost of the rolling process. A method was provided to solve the model through improved genetic algorithm. An analysis of the batch processing of the hot rolling of 240 slabs of different sizes at a steel plant proved the effectiveness of the proposed model. Compared to the man−machine interaction model and the model in which TOU electricity pricing was not considered, the batch-processing model that included TOU electricity pricing produced significantly better results with respect to both product quality and power consumption.
Keywords
Genetic Algorithm, hot rolling, hot rolling planning, TOU electricity pricing
Suggested Citation
Hu Z, He D, Song W, Feng K. Model and Algorithm for Planning Hot-Rolled Batch Processing under Time-of-Use Electricity Pricing. (2020). LAPSE:2020.0161
Author Affiliations
Hu Z: Department of Ferrous Metallurgy, School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China
He D: Department of Ferrous Metallurgy, School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China
Song W: Department of Ferrous Metallurgy, School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China
Feng K: Department of Ferrous Metallurgy, School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China
Journal Name
Processes
Volume
8
Issue
1
Article Number
E42
Year
2020
Publication Date
2020-01-01
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8010042, Publication Type: Journal Article
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LAPSE:2020.0161
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doi:10.3390/pr8010042
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Feb 3, 2020
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Feb 3, 2020
 
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Calvin Tsay
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