APERIO aids in the transition to a new energy economy


The Power industry’s on-going transition to a carbon-free world of power generation will require it to make renewables competitive against traditional (fossil) fuel sources. A clean and sustainability future is strongly tied to connecting people, processes, and technology to drive efficiency and reliability. Enabling operators to make faster, data-driven decisions, based on trusted data, will allow companies to be more agile, optimize their energy mix, and minimize the risk. APERIO DataWise helps customers:


Saves the minimum cost of a single equipment failure


Reduction in unplanned downtime


Avoid the costs of human error per employee each year


Avoid unplanned downtime due to operator error

APERIO Use Cases in the Power Industry

Below are some sample use cases where customers are employing APERIO DataWise in power generation and transmission applications.

Data Validation

  • Migrate and validate data from local spreadsheets or tools into historians/lakes
  • Identify and resolve bad, missing, or stale data contained in historian interfaces
  • Automate manual processes & workflows
  • Optimize the process state: the mix and balance of multiple renewable energy sources per operating scenario
  • Track DQI fleetwide and resolve data issues
  • Continuously validate models with live data and automated alerting


  • Eliminate connectivity errors
  • Identify and fix calibration errors
  • Prevent sensor drift, fouling, and tampering

Equipment Modeling

  • Reduce unplanned downtime and optimize OEE through real time asset modeling
  • Detect pipe corrosion, HX fouling, and rotating equipment failures early by monitoring vibration, flow, pressure, etc.

Process State

  • Optimize the process: temperature profiles, energy intensity, equipment fouling
  • Maximize production
  • Minimize energy consumption/usage and emissions
  • Determine optimum mix of energy types per demand needs and availability

Workforce Enablement

  • Maximize operator efficiency through improved visibility
  • Ensure plantwide safety and regulatory compliance
  • Consolidate production and maintenance views to make better data-driven decisions and more efficient use of resources & time
  • Ensure mobile apps like visualization, digital operator rounds, and AR/VR have validated data


  • Accurately track and reduce GHG emissions
  • Accurately measure and report against Net Zero goals and ensure license to operate
  • Monitor and optimize energy usage
  • Predict behavior to avoid needless starts/ stops/ramps
  • Meet HS&E specifications without regular inspections
  • Determine optimum mix of energy types per demand needs and availability

Digital Transformation

  • Improve operational efficiency and OEE
  • Reduce energy usage and emissions using AI
  • Optimize alarm management
  • Analyze data, apply statistics, and generate insights
  • Integrate data into advanced models to derive more value throughout the industrial data value chain

Data Security

  • Keep assets, systems, and operational data secure, active, and accessible
  • Identify replay attacks, synthetic or correlated signals on operational data before they disrupt performance
  • Continuously monitor millions of sensors of real time data streams
  • Validate OT-IT data, with diagnostics and reporting

See What We’ve Done for Your Peers

Deploy superior data integrity at scale

Automatically validate operational data at scale to improve data accuracy, security, and value, and allowing for smarter business decisions based on real-time, trusted data.

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