
PLS’ Pilgangoora P1000 Establishes TOMRA Ore Sorting as ‘Proven Methodology’ for Large-Scale Lithium Operations
Companies Mentioned
Why It Matters
Embedding ore sorting at scale transforms lithium mining economics, boosting plant stability, reducing operating costs and enhancing sustainability—key advantages as the market tightens and ore bodies become more complex.
Key Takeaways
- •P1000 adds 1,000 t/h sorting, world’s largest lithium ore sorter
- •Sorting now core step, boosting feed consistency and plant stability
- •Early waste removal cuts energy, water, reagent use, enhancing sustainability
- •Data from sorters informs blending, planning, and customer confidence
Pulse Analysis
Sensor‑based ore sorting has long been touted as a niche optimisation tool, but Pilgangoora’s P1000 expansion proves it can serve as a foundational processing element. The 1,000 t/h TOMRA sorter, integrated directly after crushing, handles the full ore feed rather than a side‑stream, delivering the reliability required for continuous, high‑throughput lithium production. This shift reflects a broader industry trend where hard‑rock lithium projects must balance expanding capacity with tighter margins and increasingly heterogeneous ore bodies.
The operational gains are tangible. Early removal of barren and contaminant material reduces the load on downstream wet‑processing circuits, cutting energy, water and reagent consumption by measurable percentages. Consistent, cleaner feed translates into steadier plant performance, higher recovery rates, and the ability to process marginal contact ore that would previously have been stockpiled or blended. For Pilgangoora, these efficiencies support a 1 Mt‑per‑year output while aligning with sustainability targets that investors and regulators now demand.
Beyond immediate cost savings, the data generated by the sorting circuit creates a new layer of visibility for mine planners. Real‑time metrics on feed composition, rejection rates and variability feed directly into blending strategies and long‑term resource modeling, strengthening confidence with downstream customers. The close collaboration between TOMRA and PLS—combining on‑site expertise with remote optimisation—demonstrates a scalable model for other large lithium operations seeking to de‑risk expansion and improve profitability in a volatile market.
PLS’ Pilgangoora P1000 establishes TOMRA ore sorting as ‘proven methodology’ for large-scale lithium operations
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