Abstract:

This paper deals with the availability analysis of a Cooling Tower used in an air conditioning system. The system is modeled as a Generalized Stochastic Petri Net (GSPN) and analyzed using Monte Carlo Simulation method. The superiority of this approach over others is demonstrated. The proposed GSPN is a promising tool that can be conveniently used to model and analyze any complex systems. It is a promising tool for modeling and estimation of reliability measures of any process plants.