Simulates and monitors supply and demand and detects leaks

The distribution of electricity and utilities for production processes within a steelmaking plant relies on a set of complex networks or grids for different resources, each formed by an array of sources, consumers, pipes, metering instruments, and other devices and equipment. In some cases, the piping or cabling for each grid can be as long as 50 kilometers, leading to a real challenge in detecting leakages, malfunctions, and misuse of each resource. Moreover, steelmaking sites usually have contracts with electricity, gas, and utility companies, including clauses that require the prediction of consumption demand in the short term with tight tolerances. Managing and operating so many distribution grids accurately, in some cases more than 100, is challenging under ever-changing production conditions and requirements.

Viridis Grids provides real-time monitoring of measurements and real-time detection of abnormal behavior, including possible leaks and instrumentation failures. It automatically reconciles measures in hierarchies, buses, rings, and other setups to identify faulty situations and immediately alert operators. The tool forecasts loads and consumption directly from production plans and order sequences using automated machine learning models inferred from equipment attached to each distribution grid. Predicting and monitoring the demand and supply of a resource is a valuable function of Viridis Grids, enabling tighter planning and governance over energy and utilities. In addition, quickly identifying the occurrence and location of electricity, gas, and fluid leaks, along with instrumentation malfunctions, has been proven to drive significant savings compared to the time it takes to analyze and identify such leaks manually.

Key features

  • Reduced distribution issues due to overload or lack of resources
  • Reduced financial losses with resource leakage, detecting leaks in their earliest stage
  • Reduced time to detect instrumentation failures.
  • Reduced contractual overage fines
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