Description
Digital power plants are increasingly integrating industrial data, artificial intelligence, and predictive analytics to optimize operations. This guidebook provides practical engineering guidance for leveraging big data, managing assets, and improving cybersecurity across power generation facilities. All articles were originally published in POWER magazine.
Features & Benefits
- Provides practical, actionable guidance on industrial data management and predictive analytics
- Covers digital power plant strategies, including AI, IoT, and the Industrial Internet
- Includes insights on nuclear, combined-cycle, and fossil-fuel plant digitalization
- Addresses cybersecurity strategies and secure connectivity solutions
- Explains asset management programs and predictive maintenance for generation facilities
- Highlights emerging technologies like 3D visualization, LIDAR, and intelligent monitoring
- Supports operational efficiency, reliability, and regulatory compliance
Audience
- Power generation engineers and plant operators
- Operations managers and technical directors
- Project engineers and maintenance teams
- Control and instrumentation engineers
- Utility executives and decision-makers in energy companies
Articles Include
- Big Data and the Industrial Internet Meet the Power Plant
- Optimize Power Plant Operations with Industrial Data Management and Predictive Analytics
- I4GEN: EPRI’s Power Plant of Tomorrow Concept
- Artificial Intelligence Boosts Plant IQ
- Cyber Threats Proving Their Power over Power Plant Operational Technology
- Secure Connectivity Solution “Cloaks” Power Facility Networks
- Digital Power Plant as Component of the Industrial Internet
- Comprehensive Asset Management for Nuclear Plants
- 3D Visualization Could Benefit Plant Inspection Programs
- LIDAR and 3D Modeling Produce Precise Designs
- Intelligent Monitoring of Distribution and Emergency Power Systems Improves Availability
- New Digital Meters Replace Old Analog Meters
- Industrial Wireless Sensors: A User’s Perspective
Details
Type: PDF
Pages: 42
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