Eventos Anais de eventos
ENCIT 2018
Brazilian Congress of Thermal Sciences and Engineering
Application of Optimization Techniques to Prediction of Parameters Wiebe Function in a Diesel Generator Set
Submission Author:
Larissa Santos Queiroz , PA , Brazil
Co-Authors:
Larissa Santos Queiroz, Sara Leão, Ana Lídia Santos, Nelson Rocha, Ricardo Pereira , Hendrick Zarate Rocha
Presenter: Larissa Santos Queiroz
doi://10.26678/ABCM.ENCIT2018.CIT18-0764
Abstract
The combustion in diesel engines involves complex physical and chemical process. One way to analyze it is through measuring the cylinder pressure during the complete combustion cycle. Once this pressure is known, it is possible to define parameters to evaluate the combustion process, engine performance, formation of pollutants, among others. However, due to its complexity, it is not possible to monitor this pressure in each diesel generator set, making it indispensable to use computational simulation tools to enable it. This study investigates the use of three optimization methods to predict the parameters of Wiebe function to estimate the pressure in the engine cylinder of a diesel generator set, using easily accessible parameters such as electric power and specific fuel consumption. To predict the parameters of Wiebe two computational programs were used, the AVL boost and the AVL design Explorer. The thermodynamic model of the engine was created using the AVL-boost and the optimization methods implemented with the AVL Design Explorer program. For the verification of the numerical results, the pressure curve obtained from a pressure sensor installed inside the first engine cylinder. The diesel generator set operated with a mixture of 8% biodiesel in diesel (B8) and 70% of the maximum nominal power. With the results obtained, it was verified that the parameters found of the Wiebe function. They were able to converge to their goal and predict the gas pressure inside the cylinder.
Keywords
Diesel generator set, prediction, Optimization, Wiebe function
