Predictive Modeling of Integrated Boiler Unit for a Coal Fired Thermal Power Plant

2019 ◽  
Author(s):  
Sreepradha Chandrasekharan ◽  
Rames Chandra Panda ◽  
Bhuvaneswari Natrajan Swaminathan
Keyword(s):  
Power Plant ◽  
Predictive Modeling ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Boiler Unit

Predictive Modeling of Integrated Boiler Unit for a Coal Fired Thermal Power Plant

2017 ◽  
Vol 18 (3) ◽  
Author(s):  
Sreepradha Chandrasekharan ◽  
Rames Chandra Panda ◽  
Bhuvaneswari Natrajan Swaminathan
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Electrical Energy ◽  
Analysis Tool ◽  
Regression Equations ◽  
Boiler Unit ◽  
Super Heater ◽  
Statistical Analysis Tool

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.

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
Keyword(s):  
Power Plant ◽  
Reliability Analysis ◽  
Thermal Power Plant ◽  
Statistical Approach ◽  
Focal Point ◽  
Thermal Power ◽  
Transient State ◽  
Death Process ◽  
Boiler Unit ◽  
In Series

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.

MARKOV APPROACH FOR PREDICTIVE MODELING AND PERFORMANCE EVALUATION OF A THERMAL POWER PLANT

2010 ◽  
Vol 17 (01) ◽  
pp. 41-55 ◽  
Author(s):  
SORABH GUPTA ◽  
P. C. TEWARI
Keyword(s):  
Power Plant ◽  
Predictive Model ◽  
Predictive Modeling ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Probabilistic Approach ◽  
Present System ◽  
Steam Generation ◽  
Generation System ◽  
Transition Diagram

The present paper deals with the opportunities for the availability predictive modeling of a thermal plant using Markov process and probabilistic approach. These opportunities will be identified by evaluation of a predictive model to be built for the steam generation system of a thermal power plant. This feasibility study covers two areas: development of a predictive model and evaluation of performance with the help of developed model. The present system under study consists of five subsystems with three feasible states: full working, reduced capacity working and failed. After drawing transition diagram, differential equations are generated and then a probabilistic simulated predictive model using Markov approach has been developed considering some assumptions. Availability matrix for each subsystem is also developed, which provide various availability levels. On the basis of this study, performance of each subsystem of steam generation system is evaluated and then maintenance decisions are made for subsystems.

Nonlinear Trend Analysis of Mill Fan System Vibrations for Predictive Maintenance and Diagnostics

2012 ◽  
Vol 58 (4) ◽  
pp. 351-356
Author(s):  
Mincho B. Hadjiski ◽  
Lyubka A. Doukovska ◽  
Stefan L. Kojnov
Keyword(s):  
Power Plant ◽  
Trend Analysis ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Balkan Peninsula ◽  
Predictive Maintenance ◽  
Nonlinear Trend ◽  
The Subject ◽  
The Given

Abstract Present paper considers nonlinear trend analysis for diagnostics and predictive maintenance. The subject is a device from Maritsa East 2 thermal power plant a mill fan. The choice of the given power plant is not occasional. This is the largest thermal power plant on the Balkan Peninsula. Mill fans are main part of the fuel preparation in the coal fired power plants. The possibility to predict eventual damages or wear out without switching off the device is significant for providing faultless and reliable work avoiding the losses caused by planned maintenance. This paper addresses the needs of the Maritsa East 2 Complex aiming to improve the ecological parameters of the electro energy production process.

FLY ASH FROM THERMAL POWER PLANT, RAW MATERIAL FOR GLASS-CERAMIC

2013 ◽  
Vol 12 (2) ◽  
pp. 337-342 ◽  
Author(s):  
Firuta Goga ◽  
Roxana Dudric ◽  
Calin Cormos ◽  
Florica Imre ◽  
Liliana Bizo ◽  
...  
Keyword(s):  
Fly Ash ◽  
Power Plant ◽  
Glass Ceramic ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Raw Material ◽  
Plant Raw Material

Estimation of chromosome disorders in workers at coal thermal power plant

2019 ◽  
pp. 149-154 ◽  
Author(s):  
V. I. Minina ◽  
Yu. A. Nelyubova ◽  
Ya. A. Savchenko ◽  
A. A. Timofeeva ◽  
Ye. A. Astafieva ◽  
...  
Keyword(s):  
Power Plant ◽  
Chromosomal Aberrations ◽  
Thermal Power Plant ◽  
Reference Group ◽  
Thermal Power ◽  
West Siberia ◽  
Kuznetsk Coal ◽  
Chromosomal Disorders ◽  
Occupational Environment ◽  
Industrial Enterprises

Introduction. Coal heat power stations are characterized by severe hazardous eff ect of occupational environment on workers. Objective. To analyze chromosomal disorders in workers of thermal power plant working on coal from Kuznetsk coal fi eld (West Siberia). Materials and methods. Th e authors studied level and specter of chromosomal aberrations in blood lymphocytes of 185 workers of Kemerovo thermal power plant and 218 inhabitants of the same location, not working on industrial enterprises (Kemerovo, Russia). For every individual, average number of 200 metaphase plates of high quality was analyzed. Results. Findings are that the workers of thermal power plant have levels of chromosomal aberrations signifi cantly higher than those of reference group (3,01±0,13% vs. 1,45±0,08%; р<0,00001). With that, increased frequency is seen both for chromatid aberrations and for chromosomal ones — that indicates complex exposure to chemical and radiation factors. Conclusions. Th e results obtained necessitate elaboration of measures to decrease genotoxic hazards in the occupational environment.

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