Inability to manage, integrate and optimise data from various energy data sources
Sequence Number
6
Industry
Energy
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How 5G enabled
5G-enabled AI can process vast amounts of information from all energy data sources in a unified structure enabling efficient management
Data Flows
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Devices
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Description
Sensors on various energy equipment sources about production volumes
Locating important data sources about production/forecasting info
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Connectivity
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Description
Equipment sensor data transport
Energy availability data (e.g., steam, solar, wind, etc.)
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Edge Compute
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Description
No real-time intervention is required at present. However, this is expected to change
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Cloud Compute & Storage
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Description
Equipment data stored to train AI algorithms
All data in Enterprise storage
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Applications & Services
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Description
AI (ML) to monitor production related data to give optimal delivery forecast predictions and revise on an ongoing basis
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Inform Decision Makers
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Description
Alert-based notification of energy anomalies
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Support Decision Making
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Description
End of process
Application Logic
Description
Install relevant sensors for critical energy equipment needed to support and manage a mixture of energy sources
It is important that these sensors monitor true production volumes for all energy sources
Sensors also need to collect GHG type of data having an impact on production and supply levels
Description
5G enables AI machine vision to process live data and predict early anomalies in equipment and process health statuses in real-time
Being able to predict overall production gets more complex due to mixed sources. However, at the same time, better forecasting is increasingly important as seen with developments such as the VPP (Virtual Power Plant)
Description
Generate a comprehensive and unified view of all energy data sources.
Keep track of historic information using AI using the unified data combined with other data to predict future deliveries
Develop streamlined tool to monitor and analyse energy, water, cost, and carbon emissions in real-time with AI-insights
Expected benefits
Optimise energy operations
Reduce carbon emission
Energy cost savings
Key value created
Complete visibility of multiple energy sources in a unified view, enabling cross analysis for decision making – optimised production