Software para otimização de trocadores de calor casco e tubo com algoritmos genéticos

Abstract

This work presents the development of STHEGA (Shell and Tube Heat Exchanger Genetic Algorithm), a web application for the optimization of shell and tube heat exchangers using genetic algorithms. The tool allows for both single-objective optimizations, through simple genetic algorithms, and multi-objective optimizations, using NSGA-II, which is widely applied in scenarios with conflicting objectives. For the thermo-hydraulic design of the shell side, the Bell-Delaware method was used due to its broad acceptance and documentation in the literature. The software development is presented in detail, including its application in practical examples based on data found in the literature. Finally, STHEGA proved to be a robust and efficient solution for the optimization of shell and tube heat exchangers, offering flexibility for future improvements and adaptations.