Optimal operation of alumina proportioning and mixing process based on stochastic optimization approach

Abstract

The quality of raw slurry and hence the alumina production is determined by its proportioning and mixing process. However, the existence of uncertainty elements in this process is unavoidable. These uncertainty elements are regarded as stochastic variables and the problem is formulated as a stochastic programming problem. Then, a second-order cone programming optimization approach is applied to find the optimal mixing proportioning strategy, with which the productivity of qualified raw slurry is maximized. A practical on-site experiment is carried out using the proposed approach and the results obtained show that this approach is effective in the maximization of the productivity.