As power plant performances decline over time with power output reducing and fuel consumption increasing, monitoring of key components is crucial for promptly addressing performance issues.
CerTa Veritas offers specialized expertise and advanced tools to accurately diagnose and address the root causes of declining performance of your gas turbines, boilers, steam turbines and entire plant.
Optimize your performance
Let CerTa Veritas help you maintain optimal performance with our three proven tools.
Reach out today via:
info@certaveritas.com
+31 (0) 85 744 4066
We look forward to hearing from you and helping you uncover new opportunities for efficiency and insight.
Common performance problems in power plants
Where component performance gradually declines over time due to fouling and mechanical wear, unforeseen performance issues may arise at any time.
Relying on their expertise and monitoring of key process variables, operators are generally aware about the performance of their main components when operated at stable base load conditions and capable of identifying the possible cause(s) of suddenly emerging performance issues.
Why these issues are difficult to detect
With the share of renewable energy sources increasing, conventional generating units are increasingly required to operate under varying load conditions.
Under varying load conditions, operators face significantly greater challenges in detecting performance issues of critical components, as process variables exhibit significant fluctuations and key performance indicators (KPIs) become harder to interpret.
Our solution: smart tools for performance analysis
CerTa Veritas' advanced tools help analyse measurement data, interpret it accurately, and detect potential performance issues early.
1. Model-based validation and performance prediction
Model-based validation (online or offline) of measurements and prediction of performances for actual load cases.
2. Online performance monitoring against base line performance
Online monitoring of calculated key performance indicators (KPI’s) and comparison with reference base line performances.
3. Performance analysis tool for historical process data
Conduct an in-depth data analysis based on existing historical process data to validate actual performance degradation, detect performance issues and their underlying root causes, and provide technical justification for potential long-term financial investment decisions.
Plaatje dient nog te worden vervangen:
Key benefits of performance issues support
Early detection of performance degradation
Data-driven decision-making
Reduced fuel costs and emissions
Optimized maintenance and planning
Objective support for investment analysis
