Eventos Anais de eventos
ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
Real-coded genetic algorithm for double-stage organic Rankine cycle exergy optimization
Submission Author:
Renan Manozzo Galante , PR , Brazil
Co-Authors:
Guilherme de Paula Prado, Renan Manozzo Galante
Presenter: Guilherme de Paula Prado
doi://10.26678/ABCM.ENCIT2020.CIT20-0487
Abstract
The organic Rankine cycles (ORC) have an important role for moderate/low heat source temperatures, being an alternative for common steam Rankine cycles. Several studies are conducted in using ORC for generate power and electrical energy from waste heat recovery. With aim to improve the ORC working fluid selection and different setups are analyzed by various authors. In this present paper, a real-coded genetic algorithm (RCGA) is presented as an alternative method to a brute force algorithm in a double-stage ORC (DS-ORC) optimization. The optimization is performed by minimizing the exergetic efficiency for 28 combinations of working fluids and design variables. The proposed RCGA proved to be an alternative tool for thermal design and optimization.
Keywords
DS-ORC, Real-coded genetic algorithm, exergy, Optimization
DOWNLOAD PDF VIEW PRESENTATION
