Maximum Cost Efficiency in Power Generation with Safe, Profitable and Sustainable Asset Utilization

Power generation companies face a wide range of challenges such as under or overutilization of assets leading to wear and tear and unplanned downtime. Power companies continually search for innovative ways to transform operations, gain better insights, and improve utilization of assets. Partnering with the right team is critical in your transformation initiative to implement successful strategies and drive cost efficiencies.

Monitor Stranded Assets

Improve visibility of stranded assets and empower field workers with powerful tools to facilitate faster and smarter decisions while on their rounds.
  • Capture and annotate images, video, and audio
  • Edit documentation and create notes to enhance SME communication
  • Enable mobile learning through consistent instruction, limits, and messaging
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Protect Critical Assets with Predictive Analytics

Software-based modeling of equipment using machine learning and advanced pattern recognition identifies future asset health issues and drives action to protect critical assets.
  • Leverage historical asset data and apply machine learning to determine normal operations
  • Build the models used during real-time monitoring of the asset
  • Online advanced pattern recognition triggers early warning alerts of equipment reliability and performance problems when asset data deviates from the models
  • Advanced analytical capabilities including problem identification and root cause analysis
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Maximum Performance for Process Economies

Extract maximum performance benefits from existing equipment while respecting operating constraints. Connect to automation systems across sites and leverage data (real-time and historical) to analyze and build cause-and-effect relationships.
  • Real-time dynamic combustion optimization to reduce thermal NOx generation
  • Heat rate and ramp rate improvements to increase plant efficiency and flexibility
  • Reduced operating costs for secondary NOx reduction systems (lower reagent, utility consumption and extended catalyst life for SNCR/SCR)
  • Many other applications such as steam temperature control and optimized soot blowing
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Enforce Standard Operating Procedures

Companies have strategic initiatives to establish and digitize business processes, policies, and procedures. A robust industrial workflow management tool provides a framework to execute and manage such initiatives.
  • Obtain data from multiple sources such as MES, SCADA, Historian, and Predictive Asset Analytics
  • Use workflows to escalate inconsistencies, coordinate reviews or additional actions based on disposition eg: lock-out/tag-out activities, normal/abnormal events
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Monitoring and Diagnostics-as-a-Service

  • The Monitoring and Diagnostics Service Centre (MDSC) located in Chicago, Ill. is staffed with subject matter experts in the fields of industrial operations and maintenance. This value-added service enables assets to be continually monitored by our team of engineers and provides early warning alerts and diagnostic guidance to improve reliability, reduce maintenance costs, increase equipment performance, reduce capital expenditures, and lower total cost of ownership.
  • The MDSC provides daily, weekly, monthly, and quarterly services that enable users to get the most out of their investments. Implementation of machine learning and diagnostics technology, coupled with years of experience, our team of experts provides early warnings of equipment problems to reduce unscheduled downtime, improve reliability and control maintenance costs.
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Centralized Data Management

  • Enterprise Data Management Platform to help collect, store, display, analyze, contextualize and report on data collected from the operational side as well as from the enterprise side to achieve increased efficiency.
  • Bridge the information gap between IT/OT data sources such as process control, operations management, IT and other 3rd party business systems.
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Cloud Operator Training Simulator

A perfect fit to meet the need of distributed learning and address the need to train newer operators staff in a more straightforward, cost-effective manner while addressing the aging workforce with minimal maintenance cost for the simulator.
  • Access from anywhere
  • Generic/Custom model with fidelity
  • Support distributed operations teams
  • Software/Training as a Service
  • Flexible pricing and support models
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Closing the Performance Gap

Close to 75-80% of Variation in performance is attributed to human factors and this is caused by lack of advanced decision support methods/tools, Scarce use of performance data except for reports, productivity loss due to tacit knowledge. This directly impacts the economic and sustainability factor and the way to minimize this is by improving decision making support, improve analytics/insights into plant performance, introducing innovative and predictive methods in not only improving, but sustaining the performance. Closing the performance gap results in:
  • Fleet performance monitoring
  • Codify learning
  • Mature from Reactive to Predictive
  • Actionable insights into technical consequences impacting the company economics
  • Insights into improvement opportunities
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