Simulation modeling and analysis of a complex system of a thermal power plant
Abstract: The present paper
deals with the opportunities for the modeling of flue gas and air system of a
thermal power plant by making the performance evaluation using probabilistic
approach. The present system of thermal plant under study consists of four
subsystems with three possible states: full working, reduced capacity working
and failed. Failure and repair rates for all the subsystems are assumed to be
constant. Formulation of the problem is carried out using Markov Birth-Death
process using probabilistic approach and a transition diagram represents the
operational behavior of the system. Interrelationship among the full working
and reduced working has been developed. A probabilistic model has been
developed, considering some assumptions. Data in feasible range are selected
from a survey of thermal plant and the effect of each subsystem on the system
availability is tabulated in the form of availability matrices, which provides
various performance/availability levels for different combinations of failure
and repair rates of all subsystems. Based upon various availability values
obtained in availability matrices and graphs of failure/repair rates of
different subsystems, performance and optimum values of failure/repair rates
for maximum availability, of each subsystem is analyzed and then maintenance
priorities are decided for all subsystems.
Keywords: performance
evaluation, probabilistic approach, transition diagram and availability
matrices
Author: Sorabh Gupta, Puran C.
Tewari
Journal Code: jptindustrigg090019
