4.6 Article

Optimal Scheduling of the Peirce-Smith Converter in the Copper Smelting Process

Journal

PROCESSES
Volume 9, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/pr9112004

Keywords

Peirce-Smith converter; copper smelting; copper losses; linear programming; scheduling; optimization

Funding

  1. Horizon 2020-European Union Framework Programme for Research and Innovation [723661]
  2. H2020 Societal Challenges Programme [723661] Funding Source: H2020 Societal Challenges Programme

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Copper losses during PSC operation are a major concern in copper smelting, with the primary objectives being to produce blister copper quickly and minimize losses. A linear multi-period scheduling framework is proposed to optimize PSC operations, with an industrial case study demonstrating its effectiveness. This solution may be applicable to other smelting processes and aid in the design of inter-PSC scheduling frameworks.
Copper losses during the Peirce-Smith converter (PSC) operation is of great concern in the copper smelting process. Two primary objectives of the PSC are to produce blister copper with a shorter batch time and to keep the copper losses at a minimum level. Due to the nature of the process, those two objectives are contradictory to each other. Moreover, actions inside the PSC are subject to several operational constraints that make it difficult to develop a scheduling framework for its optimal operation. In this work, a basic but efficient linear multi-period scheduling framework for the PSC is presented that finds the optimal timings of the PSC operations to keep the copper losses and the batch time at a minimum level. An industrial case study is used to illustrate the effectiveness of the proposed framework. This novel solution can be implemented in other smelting processes and used for the design of an inter-PSC scheduling framework.

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