Duke Energy - Predicting Failure in Wind Turbines
Speaker: John Leskowat, Renewables Data Analyst, Duke Energy
Speaker: John Leskowat, Renewables Data Analyst, Duke Energy
Ashutosh Patel, Principal Engineer, Birla Carbon
As a global organization, digital transformation initiatives take time to take hold before they go stale. Birla Carbon has an Operational Intelligence Platform and a Global Asset Tree for seamlessly accessing manufacturing data, accelerating insights, and scaling the business impact. People and technology help drive collaboration, knowledge sharing, and problem-solving to impact operational issues. Applications covering environmental reporting, energy advisory, quality improvements, and digitization of operational configurations have allowed Birla Carbon to maximize the power of collaboration among subject matter experts.
Johannes Sikström, Senior Development Engineer, Boliden
The most energy-intensive step in a mineral concentration plant is grinding, in some cases 40% – 50% of the total site consumption. Optimizing the grinding operations has the most impact in power consumption and mill throughput. Seeq was used to perform analysis of the mill power utilization in Boliden Garpenberg to identify the potential and then the performance of a new advanced process control system. The results of the assessment and early evaluation will be presented here.
Ali Khafagy, Assistant Technical Engineer/Officer, Ontario Power Generation
OPG’s entire fleet for power generation and the Monitoring and Diagnostic Centre (M&D) work with a technology portfolio to monitor and meet important operations KPIs. Seeq is utilized to execute advanced requests in the nuclear and hydroelectric space. Resources, such as office hours, learning, support tickets, meetings and other touchpoints are leveraged to improve the communication strategy and make people aware of the solutions’ capabilities. As OPG continues to grow, we will discuss how Seeq fits into the future.
Fabian Schlieck, Performance Engineer, Uniper
The German power industry is experiencing significant changes and challenges, with a focus on ensuring a reliable energy supply. Uniper is leveraging data science, particularly using Seeq, to enhance the reliability and efficiency of its operations. Seeq enables rapid, in-depth analysis of operational data to identify and address incidents like boiler tube leaks, compare actual performance against predictions, and make adjustments as necessary. It also aids in analyzing the performance impact of hardware changes and utilizes weather forecasts to predict future asset performance. This approach improves operational decision-making and supports Uniper’s digital transformation and the strategic management of its power generation assets.
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Powering Uniper’s Digital Transformation with Data Analytics
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Bat Curtailment Compliance Reporting at Scale
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Decarbonizing Cement by Advanced Analytics in Holcim’s Plant of Tomorrow Program
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Optimizing for Excellence: Balancing Cost, Quality, and Sustainability
Abdullah Algady, Lead Operations Producing Advisor, Aramco
Over the past five years, gas compressor trips at Saudi Aramco have often been caused by gradual changes in temperature or vibration, even below alarm thresholds; suggesting potential equipment issues. Saudi has used Seeq to monitor and prevent these trips and built a tool within to analyze temperature and vibration data from various compressor parts and sets dynamic thresholds based on historical trends. By proactively identifying abnormal behavior, operations and maintenance teams can address problems before they lead to shutdowns.
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Predicting Centrifugal Gas Compressor Failures at Aging Oil and Gas Facilities with Seeq
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Advanced Asset Monitoring
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Brazed Aluminum Heat Exchanger Dashboards
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Integration of Advanced Analytical Models in Value-Based