NI partners with LG&E and KU Energy to unlock the value of power plant data
In order to adapt to market demand and improve profitability, power plants are shifting from passive maintenance to active maintenance, and data collection and analysis are key in this process. The power generation service team of a regulated utility company, LG&E and KU Energy, introduced a data technology platform that can automatically collect data and help the maintenance team shift its focus to data analysis to detect problems in a timely manner and prevent them from happening.
LG&E and KU Energy is a regulated utility company that serves more than 1.3 million electric and natural gas customers with approximately 8,000 megawatts of capacity.
Shifting the focus from data collection to data analysis
Power plant operators typically optimize maintenance strategies based on decades-old technologies. Critical equipment is equipped with its own protection systems, most auxiliary equipment is manually checked by engineers using handheld devices once a month, and the remaining equipment is passively maintained and repaired only when failures occur. With this maintenance strategy, power plant operators and equipment engineers can only focus on ensuring the normal operation of equipment and personal safety. This approach is also difficult to scale or adjust, making it difficult for power plants to respond to changing market demands, government regulations, and the latest labor trends, and it is difficult to improve profitability.
Get critical information faster with IoT technology
LG&E and KU Energy connect the plant's equipment health data to the company's intranet. Their team of experts can access this data anytime and anywhere to handle problems in the equipment maintenance process. Since complete data can be obtained remotely, the maintenance team no longer needs to go to the power plant for on-site analysis, which saves a lot of time, and the power plant operation team can also get support more quickly, without wasting four or five hours waiting for the faulty generator to resume work, which undoubtedly saves a lot of time and cost. In addition, the speed of analysis has also been greatly improved, which can save tens of thousands of dollars per hour according to the size of the generator and the market price of electricity.
Integrate existing tools with open platforms
LG&E and KU Energy used an off-the-shelf add-on tool for NI InsightCM™ to connect maintenance data to their preferred historian. Since the historian is connected to their contracted monitoring center, all new data from InsightCM can be processed and alerted instantly using existing policies. The open platform helps integrate data into existing workflows, minimizing the need to change data and reducing the workload for IT and data stakeholders.
Automatic data collection using wireless technology
LG&E and KU Energy are using wireless sensor technology to automate some of the manual data routing. NI wireless technology provides accurate measurements to help diagnose the health of the equipment while reducing installation costs, allowing the team to connect the entire power plant in a few days. Automated data collection allows power plant personnel to spend more time on plant operations and helps maintenance teams capture more events and more data.
“ In the past, I spent 50-70% of my time on site to analyze problems. Now, with InsightCM, it takes about 20% of the time.
In addition, we no longer have to wait four to five hours to start a 500MW generator, which is important to us and our customers.
Everyone benefits from this.
”
– Chuck Requet
LG&E and KU Energy
Power Generation Services Manager
Wireless vibration sensors are mounted in the same way as standard accelerometers, but can report data more frequently than manual collection.
The problem of power plant data monitoring and analysis has been perfectly solved. Finally, let’s summarize the implementation method.
Technology Introduction
With an open and connected asset health data platform, LG&E and KU Energy maintenance personnel can get more of the data they need faster, making informed decisions to improve plant reliability. In addition, because the data is directly connected to existing tools (OSIsoft's PI System and third-party monitoring contractors), LG&E and KU Energy can integrate new data with only minor changes to existing workflows.
NI Products Used
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InsightCM
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Wireless vibration measurement equipment
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Wireless Vibration Sensor
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Continuous Monitoring Equipment
NI is committed to providing reliable machine health diagnostic data digitization and management solutions for condition monitoring (CBM) and predictive maintenance (PdM) applications, and has been trusted by customers for many years. With more than 40 years of data digitization experience, nearly 20 years of experience in machine vibration measurement, and an open platform to meet the various needs of reliability teams, and our extensive partner ecosystem has rich experience in delivering PdM solutions, NI is the best choice for your supplier.
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