CREEM2020

CREEM2020

SELEÇÕES DE SUBSTITUIÇÃO EM UM ALGORITMO GENÉTICO DE CODIFICAÇÃO REAL APLICADO À OTIMIZAÇÃO DE UM CICLO RANKINE ORGÂNICO DE DUPLO ESTÁGIO

Submission Author: Guilherme de Paula Prado , PR , Brazil
Co-Authors: Guilherme de Paula Prado, Renan Manozzo Galante
Presenter: Guilherme de Paula Prado

doi://10.26678/ABCM.CREEM2020.CRE2020-0081

 

Abstract

Optimization problems are common in designing engineering systems. More specifically, in thermal systems, it is desirable to optimize the net power, the heat transfer, thermal efficiency, total costs, etc. These systems have various optimization parameters which influence into system operation is unpredictbale and with nonlinear behavior. Due the complexity in optmizing thermal system, the use of advanced algorithms of optimization become attractive. The present work propose to compare the efficiency of a real-coded genetic algorithn in optmizing a double stage organic Rankine cycle, considering two types of replacement selection. As a preliminar result, the algorithm is executed ony once for each type of selection and the process of searchg an optimal solution is shown graphically.

Keywords

Optimization, ORC, genetic algorithm, Otimização, Algoritmo Genético, Exergia

 

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