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    Cat R2900 XE at Grasberg and in DRC: ventilation and loading insights for engineers

    June 3, 2026|

    Reviewed by Tom Sullivan

    First reported on International Mining – News

    30 Second Briefing

    PT Freeport Indonesia’s Grasberg underground complex has received its 15th Caterpillar R2900 XE diesel-electric LHD from dealer Trakindo, consolidating one of the world’s largest fleets of Cat underground loaders at a single copper-gold operation. The 15 t-class R2900 XE couples a diesel engine to an electric drive train, cutting fuel burn and heat load versus conventional mechanical-drive R2900 units, which is critical for deep, high-production stopes. New deployments in the Democratic Republic of the Congo signal growing interest in diesel-electric loading for African hard-rock mines facing ventilation and power-cost constraints.

    Technical Brief

    • Diesel-electric R2900 XE uses an electric drive train to transmit engine power to the axles.
    • Electric drive reduces mechanical drivetrain components, cutting maintenance on torque converters, gearboxes and drive shafts.
    • Lower heat rejection from the electric drive directly reduces ventilation and refrigeration demand in deep stopes.
    • Diesel-electric LHDs are being evaluated as an intermediate step between conventional loaders and full battery-electric fleets.

    Our Take

    With copper prices hovering just below $14,000/t in the 2 June piece in our database, incremental efficiency gains from diesel-electric loaders at the Grasberg copper-gold underground complex are likely to be valued more for productivity and power-cost control than for marginal ore cut-off changes in the near term.

    The delivery of the 15th R2900 XE into Indonesia suggests Caterpillar and dealer Trakindo are building a sizeable installed base in a single underground hub, which typically improves parts availability and technician familiarity and can reduce downtime risk for high-throughput copper operations.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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