Discover how an industrial plant reduces energy costs by up to 40% without decreasing production. This case study shows how industrial energy monitoring tracks consumption in real time, identifies the most productive time slots, and applies immediate operational actions to optimize industrial energy efficiency and ROI.

How much do energy inefficiencies impact plants today?

In many plants, unproductive states are a significant source of energy waste. Without industrial energy monitoring data on cost per cycle and per machine, crucial questions often remain unanswered, making it difficult to optimize shifts and plan production efficiently.

“How much do energy inefficiencies currently affect production costs?”

“Which time slots offer the highest productivity to concentrate production?”

“Which actions can reduce waste without slowing down production?”

 

Because these questions often go unanswered, it becomes essential to collect accurate data through industrial energy monitoring and turn it into actionable operational decisions.

How to turn data into operational decisions?

To address this challenge, the Energy Monitoring module collects real-time data on electrical consumption and the productive states of each machine or production area, calculating cost per cycle. By connecting directly to machines, the platform tracks consumption and performance, highlights inefficiencies, and provides actionable insights for immediate operational decisions using advanced energy monitoring software.

Time slot analysis
By comparing good cycles, consumption, and performance, industrial energy monitoring identifies the most productive times of the day, optimizing shifts, setups, and replenishments without slowing down production.

Copilot + Zero
Intelligent dashboards and natural-language insights highlight significant energy deviations and provide clear operational recommendations.

Automated operational actions
Rules can be set for automatic shutdown or standby during unproductive states, and load plans can be based on cost per cycle, reducing waste and maximizing energy efficiency.

Concrete benefits

Implementing the system leads to measurable results:

  • -40% energy costs, thanks to precise measurements, alarms, and shift rebalancing.
  • Greater ability to justify efficiency investments, with ROI calculated per cycle and production line.
  • Optimized production planning according to the most productive time slots, increasing overall plant efficiency.

Turning data into operational decisions allows companies to transform hidden inefficiencies into tangible opportunities for savings and productivity.

FAQ

Monitoring consumption per cycle with industrial energy monitoring allows you to quantify the energy cost of each machine or process, highlighting unproductive states and inefficiencies. This data helps justify industrial energy efficiency investments, optimize shifts, and plan production more productively without reducing output.

By comparing data on good cycles, consumption, and performance, industrial energy monitoring identifies the times of day when machines operate at peak efficiency. This analysis allows production, setups, and replenishments to be concentrated in the most productive slots, improving overall output and reducing energy waste.

Industrial energy monitoring does not slow down machines or reduce product quality. By analyzing real-time data with energy monitoring software, it identifies inefficiencies during non-productive states and optimizes energy use without affecting active production cycles. This allows cost savings while maintaining full operational performance.

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About the Author: Marco Graziotti

Marco Graziotti
Marco is part of the marketing team at Zerynth. He has a degree in marketing and market research and is an all-round technology enthusiast. He enjoys content marketing, while in his spare time he loves listening to and producing music, from the most diverse genres.

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