Steam Surface Condenser Design based on Cost Optimization using Genetic Algorithm

Abstract

The present study explores the use of a non-traditional optimization technique; Genetic Algorithm (GA), for optimization of steam surface condenser. The code for GA is developed and successfully applied for the optimization of same by varying the design variables such as shell internal diameter, tube outer diameter, tube thickness and tube material. The objective function for capital cost is derived and same is used for optimization. The optimized results obtained using GA are found to be superior to the earlier obtained results.