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ManufacturingSolution

Manufacturing Energy and Emissions Management

Measure energy and emissions per line, per shift and per unit produced, so reduction targets are pursued against evidence rather than against the monthly utility invoice.

Solution
Analytics & BI
Industry
Manufacturing
Company Size

Solution Overview

industry
Manufacturing
solution
Analytics & BI
technologies
Azure IoT Hub, Microsoft Fabric, Fabric Real-Time Intelligence, Power BI, Azure Machine Learning, Microsoft Sustainability Manager

The Challenge

Most plants understand energy consumption at the level of the site meter and the monthly invoice, which is far too coarse to act on.

  • 1Consumption understood at site meter level, far too coarse to act on
  • 2No visibility of which line, shift or product drives a consumption spike
  • 3Compressed air leaks and idle equipment persisting for years because they are invisible

Our Approach

CloudGate meters at line and major-equipment level with telemetry streaming into Fabric Real-Time Intelligence, normalizing consumption per unit produced so comparisons across lines, shifts and products are meaningful.

  • Sub-metering at line and major-equipment level rather than site level only
  • Consumption normalized per unit produced for meaningful cross-line comparison
  • Anomaly detection on leaks, idle draw and unexplained out-of-hours consumption

Typical Outcomes

Per line and shift
CONSUMPTION MEASURED, NOT ESTIMATED
Live
WASTE DETECTION WHILE IT IS HAPPENING
Continuous
EMISSIONS FROM ACTUAL CONSUMPTION

Typical outcomes for this solution pattern, not the results of a named client engagement.

Technologies Used

Azure IoT HubMicrosoft FabricFabric Real-Time IntelligencePower BIAzure Machine LearningMicrosoft Sustainability Manager
Full architecture and data flow in the Data & AI Catalog

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