aDepartment of Mechanical Engineering, AKG Engineering College, Ghaziabad – 201009 (Uttar Pradesh), INDIA.
bDepartment of Mechanical Engineering, National Institute of Technology, Kurukshetra – 136119 (Haryana), INDIA.
cDepartment of Mechanical Engineering, National Institute of Technology, Hamirpur – 177005 (Himachal Pradesh), INDIA.
The paper deals with the Performance Evaluation and Optimization for the urea crystallization system in a fertilizer plant using Genetic Algorithm. The urea crystallization system of a fertilizer plant has five main subsystems, arranged in series. Considering exponential distribution for the probable failures and repairs, the mathematical formulation of the problem is done using probabilistic approach and differential equations are developed on the basis of Markov birth-death process. These equations are then solved using normalizing conditions so as to determine the steady state availability of the urea decomposition system. The performance of each subsystem of urea crystallization system in a fertilizer plant has also been optimized using Genetic Algorithm. So, the findings of the present paper will be highly useful to the plant management for the timely execution of proper maintenance decisions and hence to enhance the system performance.
Performance Optimization, Urea Crystallization System, Genetic Algorithm
