Sibanye-Stillwater Reduces Mine Ventilation Energy with AI-Enabled VFDs
Sibanye-Stillwater deployed Predictive ML for Energy Management in Metals & Mining. rockwellautomation.com reports no complete outcome metric.
What Sibanye-Stillwater was trying to fix
Sibanye-Stillwater, a multinational mining and metals processor, needed to improve energy efficiency of mine ventilation systems at South African gold mines. Large surface ventilation fans require continuous operation for safety, consuming massive amounts of energy.
What Sibanye-Stillwater deployed
Energy Drive deployed and optimized variable-frequency drives (VFDs) on large surface ventilation fans, using PowerFlex technology to dynamically adjust fan speeds based on actual ventilation demand rather than running at constant speed.
Results
Delivered significant energy savings and carbon reduction for Sibanye's gold mines in South Africa. Reduced energy consumption while maintaining required ventilation standards. Helped clients achieve sustainability targets at net savings.
Key Takeaways
- VFD optimization of mine ventilation fans delivers both energy savings and carbon reduction
- Sustainability investments in mining can achieve net savings rather than net costs
- Demand-based ventilation control is safer and more efficient than constant-speed operation
Evidence for Sibanye-Stillwater's Energy Management deployment
- Reported outcome metrics
- Not reported by source
- Cited source
- rockwellautomation.com
- Last updated
Vendor
Details
- Industry
- Metals & Mining
- Use Case
- Energy Management
- AI Technology
- Predictive ML
- Company Size
- Enterprise
- Company
- Sibanye-Stillwater
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