APERIO aids in the transition to a new energy economy

Power a Clean & Sustainable Future

As the Power industry builds out its decarbonization plans, goals, and targets, the clean energy transition will require smart and flexible solutions, accelerated by digital strategies. Employing models, insights, and decisions, based on trusted data, will allow companies to be more agile, optimize their energy mix, and minimize the risk.

Impact of High Data Quality


Avoided costs per employee due to human error


Increase in uptime


Avoided due to a single piece of equipment failure


% of revenue spent on reliability that could be eliminated

APERIO Use Cases in the Power & Renewables Industry

Below are some use cases where APERIO DataWise is being deployed in the Power & Renewables industry.

+ Perform Data Validation at Scale
  • Measure, track, and improve data quality fleetwide by resolving critical data issues. Follow smart workflows and advanced tools, like root cause analysis or pattern recognition, to continuously validate data in connected data sources, digital twins, and/or models.

+ Monitor Sensor Health
  • Eliminate connectivity errors, identify and fix calibration errors, prevent sensor drift, fouling, and tampering with automated alerting.

+ Prevent Equipment Downtime
  • Reduce unplanned downtime and optimize OEE through real time asset monitoring. Detect pipe corrosion, HX fouling, and rotating equipment failures early by monitoring vibration, flow, pressure data.

+ Optimize the Process State
  • Monitor changes to temperature profiles, energy intensity, and equipment fouling to help optimize the process. Live validated data can enable maximum production, minimum energy usage and emissions, and determine the optimum mix of energy types per demand needs and availability

+ Empower the Operator
  • Maximize operator efficiency through improved visibility and data-driven decision making. Ensure plantwide safety, regulatory compliance, and operational readiness, based on validated data.

+ Accurately Report Sustainability Metrics
  • Ensure accuracy in measuring and reporting metrics against Net Zero goals. Use validated data optimize energy and emissions, predict behavior to avoid needless starts/stops/ramps, and meet HS&E specifications without regular inspections.

+ Enable Digital Transformation
  • Apply validated data in advanced models: analytics, predictive maintenance, sitewide reliability models, optimization (ops, costs, OEE), AI, etc. to enable added value across the entire industrial data value chain.

The APERIO Difference

We connect to millions of data streams for all equipment and sensor types, without needing manual and custom configuration.

We utilize automated, unsupervised ML engines that assess data health and reliability, without manually defining rules or duplicating tags.

We measure, improve, and track data quality through smart work-flows, rigorous root cause analyses, and efficient pattern recognition.

We deliver verified data for confident data-driven decision-making, driving business value from the control room to the boardroom.

See what we're doing for your peers!

Customers across a broad set of industries deploy APERIO DataWise to detect data anomalies before they negatively impact their business.

Early Detection

Identify raw data issues to ensure they’re addressed before they impact business.

Dead Tags

Identify dead tags to improve efficiency and speed of data-driven decisions.

Sensor Failure

Discover and address sensor failure before it negatively impacts business.

Leak Detection

Detect process upsets before they lead to unplanned outages.

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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