The Impact of Data Analytics on Plant O&M
(Room Rheinsaal 6)
28 Jun 17
2:00 PM
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3:30 PM
Tracks:
Track B - Mastering the Digital Era
Technical advancements in power generation equipment, the widespread integration of distributed generation and renewable energy resources, coupled with new models of distribution such as net metering and demand management, present new complexities and challenges to the reliable supply of electricity. Advanced system monitoring and software tools are required to manage bi-directional power flows and data communications. At the enterprise level, the convergence of machines, networks and intelligent software is referred to as the Industrial Internet. The Industrial Internet is enabled by advanced computing, analytics, low-cost sensing and new levels connectivity. This deeper integration of digital technologies is transforming the power generation industry, enabling operators to take preemptive action on a potential problem before it results in unnecessary down time and lost revenue. Predictive technology is also helping power generators dynamically adjust settings to use less fuel and maximize performance. Using an assumption that the fuel savings from a one percent improvement in country-level average gas generation efficiency can be realized, fuel spending globally would be reduced by more than $66 billion over a 15-year period. Combined with predictive analytics, preventive maintenance programs are enabled to lift machine reliability rates to significantly higher levels. Through case studies, this paper reviews secure data-driven strategies and best practices to improve asset lifecycle management, increase uptime, and achieve peak operational performance.