Plant energy efficiency – Steel manufacturing

We helped a steel manufacturing plant optimize its energy consumption through advanced monitoring, process adjustments.

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Client

Large-Scale Steel Manufacturing Plant

Industry

Steel Manufacturing

Location

Dallas, TX

Engagement Duration

6 months

We partnered with a large-scale steel manufacturing plant to improve its energy efficiency and reduce operational costs without compromising production output. The client faced challenges such as high electricity consumption, unmonitored energy wastage, and outdated systems that lacked real-time monitoring capabilities. Rising energy costs and sustainability targets added further urgency to the project. Our approach began with a detailed energy audit to identify inefficiencies in key production processes.

In addition, we introduced waste heat recovery units, upgraded to high-efficiency motors, and installed automated controls to optimize energy use during peak and idle periods.

The plant’s teams were trained to monitor and interpret energy data, fostering a culture of efficiency and accountability. These combined efforts led to a significant reduction in energy consumption, lowering operational costs while decreasing the facility’s carbon footprint.

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Challenges

Before the energy efficiency initiative, IronEdge faced significant operational inefficiencies leading to increased costs and environmental impact.

  • High energy consumption in furnace
  • Outdated energy monitoring systems
  • Inconsistent energy usage tracking
  • Rising operational costs due to inefficiencies
  • Lack of real-time insights for load optimization
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Solutions

Industro deployed a comprehensive energy efficiency strategy tailored to steel manufacturing processes.

Advanced Energy Monitoring

Installed IoT-based sensors for real-time energy tracking.

Furnace Optimization

Upgraded controls for precise temperature management and reduced wastage.

AI-driven Load Management

Implemented AI algorithms to balance energy loads during peak and off-peak hours.

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Delivery Timeline

The project was executed in carefully planned stages to minimize downtime and ensure smooth integration.

  • Week 1–4  Energy audit & process analysis
  • Week 5–10  Installation of monitoring sensors & control systems
  • Week 11–18  AI integration for load optimization
  • Week 19–24  Staff training, testing & project handover

Results

Enhanced operational transparency through real-time energy monitoring, enabling sustained cost savings.

22%

lower energy costs

15%

faster smelting cycles
Testimonial Image

Jane Smith

CTO,

Thanks to their work, our downtime is down, productivity is up, and our teams work more cohesively.

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