Challenge

Auxiliary Power Optimization at Sandur Plant: 12% Energy Cost Reduction.

The Sandur mining company, like many heavy industrial facilities, faced persistent challenges with auxiliary power consumption. Critical equipment, particularly compressors and cooling water motors were operating inefficiently. Detailed assessments revealed that several motors were significantly over-rated for their actual load requirements, leading to:

Challenges - Sandur Plant Case Study

Excessive energy losses (low load factor operation).

Higher monthly electricity bills without proportional output.

Increased carbon footprint and maintenance overhead.

Reduce auxiliary power without altering plant generation or load.

Improve energy efficiency while maintaining 100% system reliability.

Execute quickly during a limited shutdown window.

Ensure safety compliance throughout the retrofit.

Key Results & Delivered KPIs

The project exceeded all clients expectations. Below are the validated outcomes

Reduction

8 - 12%

Reduction Achieved

Technical Excellence

+18 %

68 - 72% to 86 - 91%

Safety

Safe

Zero Breakdowns

Carbon Footprint

Lower

Carbon Footprint

Our Solution

A 4-Phase Motor Downsizing & Optimization Strategy

AVR Energies implemented a structured 8-week methodology to right-size auxiliary motors using real load data — ensuring 100% system reliability while delivering measurable energy savings.

Swipe or use arrows to explore all phases

01

Phase

Week 3–4

Assessment & Data Analysis

Assessment & Data Analysis

A comprehensive load study and SCADA/DCS data analysis was conducted to establish actual motor utilization across all auxiliary systems.

  • Full auxiliary power load study across compressors and cooling water motors.
  • SCADA/DCS historical data analysis to identify over-rated equipment.
  • Baseline efficiency mapping for all targeted motor assets.
Key Discovery: Several 150 kW motors were operating optimally at just 90 kW, a 40% capacity waste.
02

Phase

Week 3–4

Engineering & Planning

Engineering & Planning

Detailed engineering calculations and safety compliance checks were performed to validate every proposed motor change before execution.

  • Safety and regulatory compliance review for all retrofit activities.
  • Motor re-rating calculations based on verified load requirements.
  • Shutdown execution plan aligned with the 7-day plant window.
All changes were modeled to ensure that even under peak demand, the new motors would not trip or overheat.
03

Phase

Week 5

Execution During Planned Shutdown

Execution During Planned Shutdown

Motor replacements and precision alignments were executed within the planned 7-day shutdown window with zero safety incidents.

  • Replacement of over-rated motors across identified auxiliary systems.
  • Precision alignment and commissioning of all new motor units.
  • Real-time coordination with plant operations throughout shutdown.
Result: All new motors were commissioned 1 day ahead of schedule.
04

Phase

Week 6–8

Monitoring & Optimization

Monitoring & Optimization

A 3-week intensive monitoring phase verified performance under varying load conditions and fine-tuned systems for sustained efficiency.

  • Continuous performance monitoring via SCADA integration.
  • Load verification under peak and off-peak operating conditions.
  • Final optimization adjustments to maximize long-term savings.
All changes were modeled to ensure that even under peak demand, the new motors would not trip or overheat.

Before & After KPI Comparison

The project exceeded all client expectations. Below are the validated outcomes:

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KPIBefore OptimizationAfter OptimizationImprovement
Auxiliary Power ConsumptionBaseline8–12% reductionAchieved
Motor Operating Efficiency68–72% (avg.)86–91%+18%
Post-Implementation Breakdowns3 minor events/yearZero major breakdownReliability improved
Return on Investment (ROI)6–8 monthsRapid payback

Why This Matters for Your Plant

The Sandur Plant case study proves that auxiliary power optimization is not about reducing production or adding complex new systems. It is about right-sizing existing assets using real load data.

Why This Matters for Your Plant