This paper presents the energy and exergy analysis for actual data of the triple-pressure
combined cycle power plant (CCPP). This study was carried out to evaluate each …

Accuracy of online measurement data is usually not satisfactory for coal-fired power plants
due to constraints of measurement techniques. Data reconciliation can help to improve the …

The quality of on-line measured operational data is usually not satisfactory for the
performance monitoring of coal-fired power plants, due to the low accuracy of measuring …

This book covers the design, analysis, and optimization of the cleanest, most efficient fossil
fuel-fired electric power generation technology at present and in the foreseeable future. The …

In a coal-fired power generation unit, steam turbine performance monitoring relies on steam
cycle heat balance analysis, in which the primary flow measurement accuracy is critical …

Measurement errors inevitably exist amongst on-line measured data in steam turbine power
plants. Problematic steam turbine isentropic efficiencies and turbine expansion curves are …

Power plant on-line measured operational data are often corrupted with random and gross
errors. The data reconciliation method can reduce the impact of random errors by adjusting …

Aeroengine measuring data usually contain random errors and gross errors. Meanwhile
some parameters cannot be measured directly due to costs or technology limitations. To …

Wetness fraction of exhaust steam is important to the economy and safety of steam turbines.
Due to lack of commercially available measurement technologies, it is usually obtained from …

This paper introduces an application of simultaneous nonlinear data reconciliation and
gross error detection for power plants utilizing a complex but computationally light first …