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    Thiess–Caterpillar 793D FLANDERS hybrid trial: key fleet lessons for mine engineers

    March 10, 2026|

    Reviewed by Tom Sullivan

    First reported on International Mining – News

    30 Second Briefing

    Thiess plans to retrofit a Caterpillar 793D haul truck with a FLANDERS hybrid diesel‑electric kit as part of its 2025 Sustainability Report roadmap, targeting lower emissions from ultra‑class fleets while acknowledging that net zero‑capable propulsion for large trucks is not yet commercially ready. The FLANDERS system, previously used to boost productivity and cut fuel burn on large excavators and drills, will be adapted to the 793D’s existing electric drive to recover and reuse braking energy. For mine operators, the trial offers a near‑term retrofit option to reduce diesel consumption and validate hybrid performance on a widely used 220–240 t class truck.

    Technical Brief

    • Project is embedded in Thiess’ 2025 Sustainability Report roadmap, providing a defined near-term deployment window.

    Our Take

    Thiess already features in several of our recent Mining items for autonomous haulage trials with EACON at Norton Gold Fields, so retrofitting a Caterpillar 793D with a FLANDERS hybrid kit signals the contractor is systematically testing multiple technology pathways across its truck fleet rather than backing a single OEM solution.

    Within our 2058 tag‑matched pieces on Projects/Product/Sustainability, Thiess appears repeatedly as a service provider rather than an asset owner, suggesting that successful hybrid retrofits on 793D trucks could quickly be offered as part of its broader contract mining toolkit to clients in coal and gold operations alike.

    The 2025 sustainability report context in this article aligns with Thiess’ recent contract extension at Mount Pleasant, indicating that demonstrating lower‑emission or more efficient truck fleets may be increasingly important for winning and extending long‑term mining services contracts in Australia.

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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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