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Modelling and simulation of electrochemical analysis of hybrid spark-ignition engine using hydroxy (HHO) dry cell

Author:
Ismail, Tamer M., Ramzy, Khaled, Elnaghi, Basem E., Mansour, T., Abelwhab, M.N., Abd El-Salam, M., Ismail, M.I.
Source:
Energy conversion and management 2019 v.181 pp. 1-14
ISSN:
0196-8904
Subject:
electrochemistry, fossil fuels, fuzzy logic, gas engines, gases, hydrocarbons, pollution, spark ignition engines, statistical analysis
Abstract:
Nowadays the high consumption rates of fossil fuel and pollution of unburned hydrocarbons in exhaust gases are the major problems that face the world. Using HHO dry cell is suggested for solving these problems at the engines. Experimenting with an actual HHO dry cell is more expensive, and consumes more time and effort. So modelling HHO dry cell usage is very important to save costs and efforts. Different parameters were modelled and evaluated for using HHO dry cell. The experimental tests were performed at the Faculty of Engineering, Suez Canal University on a gasoline engine (Chevrolet Lanos 1.5, model 2012). Beta cell was designed, fabricated and connected to said engine. The cell performance can easily be controlled and adjusted using different parameters. Many different factors were taken into consideration, such as; the cell design, the free space in the car engine, and the plates' overall dimensions. There is a lack in the study of modelling and simulation of hybrid spark-ignition engine using (HHO) dry cell with complete parameters. Therefore, the main objectives of this study are to perform and evaluate the modelling of different parameters that affect the performance of the hybrid spark-ignition engine. Also in this study, two different modelling techniques were used according to the available experimental data; MATLAB code and fuzzy logic modelling. The experimental and modelled results were compared and evaluated according to different statistical methods, such as the coefficient of determination (R2). The results showed that there is strong agreement between the experimental and the modelled fuzzy data, with R2 equaling 0.915 for the hydroxy rate.
Agid:
6251442