scholarly journals Statistical approach for analyzing the transient reliability of boiler System using CAS Mathematica

2021 ◽  
Vol 8 (1) ◽  
pp. 1-4
Author(s):  
Yakshi Bahl ◽  
Tarun Kumar Garg

The focal point of this manuscript is to address the reliability analysis of Boiler unit in the Thermal power plant driven from coal. It is made up of six subunits laid out in series and parallel manner, alongwith some standby units. The system under consideration is modelled in transient state aided by Markov birth-death process and CAS Mathematica is deployed to solve the resulting complicated system of probabilistic equations arising out of 8 working states.

Author(s):  
Sreepradha Chandrasekharan ◽  
Rames Chandra Panda ◽  
Bhuvaneswari Natrajan Swaminathan

1978 ◽  
Vol 98 (4) ◽  
pp. 40-48 ◽  
Author(s):  
Hideo Nakamura ◽  
Toshihiko Hirano ◽  
Hirotsugu Akaike

Author(s):  
Sreepradha Chandrasekharan ◽  
Rames Chandra Panda ◽  
Bhuvaneswari Natrajan Swaminathan

AbstractMajority of the power plants in the world is based on coal. Pulverized coal is used to generate pressurized steam to drive turbines where-by chemical energy is converted to electrical energy. Modeling of the steam generator in thermal power plant plays a major role as it comprises of interactive units like economizer, drum and super-heater. Experiments across different units of the power plant are carried out to build correlations between input and output. Main objective of the work is to compare performances arising out by considering the system-model as three individual units or as one integrated boiler unit. In order to do this, multiple regression equations are derived based on quadratic models. The dependability of the pressure and temperature on the other variables are analyzed using the statistical analysis tool and validation of the derived model with the plant data is performed. Significance of regressions were evaluated based on ANOVA which in combination with standardized residuals distribution and their means for confidence levels of 95 and 99 %, helped in validating the model. Operating parameters are optimized using RSM supported by design of experiments with Box-Behnken design. These models will be helpful in understanding and designing the safe operation and control of thermal power plants.


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