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Plant‐wide hierarchical optimization based on a minimum consumption model
Author(s) -
He Dakuo,
Yuan Qingyun,
Wang Fuli,
Zhao Luping,
Liu Tan,
Jia Runda
Publication year - 2016
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.22475
Subject(s) - consumption (sociology) , hierarchical database model , mathematical optimization , computer science , mathematics , data mining , sociology , social science
Plant‐wide optimization for a complex process consisting of multiple unit processes is an effective method to achieve production with high efficiency and low consumption. However, due to the complexities of the plant‐wide optimization problem such as high dimensionality, numerous constraints, and other factors, plant‐wide optimization for a complex process is always a challenging problem in research. Therefore, this paper presents a plant‐wide hierarchical optimization method based on a minimum consumption model which can solve the feasibility and optimality of the obtained technical indices. The plant‐wide optimization problem is converted into a two‐level optimization problem, including the procedure‐level optimization and the process‐level optimization. The presented method can simplify the original plant‐wide problem and effectively reduce the computational complexity. Moreover, the hierarchical decision‐making is achieved simultaneously and the efficiency of solving the optimization problem and the global convergence is improved. Finally, the presented plant‐wide hierarchical optimization method is applied to the hydrometallurgy process of a gold smelter. The results verify the effectiveness of this method.