AVEVA software monitors over 550,000 MW of power generation daily
Achieve more with AVEVA power generation solutions
Enable agility and resilience
- Increase electric grid reliability and resilience by using your data more effectively.
- Increase asset utilization and situational awareness.
- Build connections within your remote workforce.
See how Duke Energy saved over $34 million in a single early catch event.
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Reduce unplanned downtime and maximize asset reliability with AI-infused predictive maintenance for early warning and diagnosis of equipment issues.
Collect, aggregate, and enrich real-time operations data for immediate problem solving and easily deliver formatted data to enterprise applications and advanced analytics.
Promote workforce empowerment
- Improve your workers’ skills with effective training.
- Connect your workers to make your operations more agile and resilient.
- Attract and retain a new generation of workers.
See how APS improved its workers’ skills while cutting down on the cost of training.
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Centralize experiential learning tools in a cloud-based hub to ensure consistent training.
Get complete visibility of your operations and assets in a secure cloud environment, along with actionable information to improve reliability and performance.
Shift to green energy mix
- Use data to optimize generation and transmission and distribution, increasing the use of renewables.
- Reduce carbon footprint of existing facilities.
- Improve regulatory compliance.
See how EDF improved collaboration between engineers and reduced its work hours.
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Collect, aggregate, and enrich real-time operations data for immediate problem solving and easily deliver formatted data to enterprise applications and advanced analytics.
Use simulation to design sustainable processes, products, and plants more efficiently.
Improve CAPEX efficiency
- Enhance visibility and control over budget and schedule.
- Improve handover to operations.
- Optimize profitability and reduce carbon emissions.
Learn how Commonwealth Fusion Systems eliminated the need for re-work and reduced project time.
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Use data from multiple sources to visualize, validate, and collaborate on digital twin data.
Engineer and collaborate across all project phases and multi-discipline teams in a single data-centric platform.
