BKO AI optimized power plants operations through monitoring, proactive maintenance, and staff training, enhancing efficiency and decision-making.
TexGen was experiencing less than optimal results in four main areas:
◼ Data from various equipment and systems was not integrated causing inefficient flow of information.
◼ Machine maintenance schedules needed updating and data was needed to choose optimal servicing times and assess post-maintenance performance.
◼ TexGen’s personnel lacked the knowledge and experience to effectively use dashboards and interpret results.
◼A lack of monitoring data led to leadership’s uncertainty in accurately gauging trends over the past year and predicting long-term patterns of performance.
BKO took a holistic approach in meeting the four challenges expressed by TexGen.
We set up online dashboard monitoring and parameter control. Then we implemented a live health score dashboard that assesses the daily and weekly performance of gas turbines, steam turbines, and condensers.
This comprehensive approach offered real-time insights into equipment performance and enabled optimal operational efficiency leading to accelerated outcomes. The data also enabled proactive maintenance and provided real data to inform leadership decisions.
◼ An examination of three years of data enabled us to identify problems with two units, enabling TexGen to enhance operational efficiency and recover an additional 10 MW at base load.
◼ Ongoing monthly reports maintain plant optimization by providing the latest data on plant performance and equipment functionality.
◼ Leadership decisions are now based on up-to-date and accurate data leading to greater insights on performance.
In solving TexGen’s challenges, BKO continues to utilize powerful tools, enabling seamless data analysis and predictive maintenance. This continuous service not only reinforces TexGen’s commitment to operational excellence but also ensures that their operations remain optimized and efficient, guaranteeing a reliable and resilient power grid for Texas.
