BKO AI

Boosting Power Plant Efficiency

Establish a predictive maintenance framework using real-time asset health data for optimal scheduling.
Upskill plant personnel to effectively interpret performance dashboards and drive daily decisions.
Provide plant leadership with clear historical visibility and predictive analytics to forecast long-term trends.

Data silos across various equipment and systems restricted the efficient flow of critical operational information.
Maintenance schedules lacked the empirical data required to determine optimal servicing times and post-maintenance results.
Plant operators lacked the necessary training and experience to leverage visualization dashboards.
Limited historical monitoring data prevented leadership from accurately tracking yearly performance trends.

Developed online monitoring dashboards to enable parameter monitoring and real-time operational visibility.
Implemented live health score dashboards assessing the performance of gas turbines, steam turbines, and condensers.
Delivered technical training programs to equip onsite personnel with analytical and dashboard interpretation skills.
Conducted a comprehensive three-year historical data analysis to identify root causes of equipment inefficiency.

Recovered 10 MW of capacity at base load across two critical power generation units.
Transitioned plant operations to proactive maintenance scheduling backed by real-time asset performance metrics.
Empowered utility leadership to make long-term planning decisions based on verified, up-to-date data.
Provided monthly performance and optimization reporting to support grid-reliability planning in Texas.