Eventos Anais de eventos
ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
OPTIMIZATION OF A THERMAL COGENERATION SYSTEM USING HYBRID ALGORITHMS
Submission Author:
Bruno Almeida , SP
Co-Authors:
Bruno Almeida, Manuel Ernani Cruz, LEONARDO DOS SANTOS REIS VIEIRA
Presenter: Bruno Almeida
doi://10.26678/ABCM.ENCIT2020.CIT20-0475
Abstract
Optimization has been used in countless works to reduce the cost or increase efficiency in thermal systems. Among the optimization algorithms, hybrid methods stand out, which are a combination of deterministic and heuristic methods, in order to maintain the advantage of each one. In this context, the objective of the present work is to optimize the cost function that describes the total cost of a cogeneration system and also to optimize the exergetic efficiency function using hybrid optimization algorithms. Six optimization algorithms were used combining the methods of Particle Swarm and Differentiated Evolution with Conjugated Gradient, Newton and Quasi-Newton. The methods were implemented in Matlab and a professional Thermal Systems simulator (IPSEpro) was used to solve the thermodynamic problem. The results found for the cost function had a performance compatible with the literature and for the exergetic efficiency the expected results were achieved.
Keywords
Optimization, Hybrid Methods, Cogeneration.
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