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Performance of hybrid compression ignition engine using hydroxy (HHO) from dry cell
- Source :
- Energy Conversion and Management. 155:287-300
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- The high consumption rates of fossil fuel and unburned hydrocarbons pollution in exhaust gases are considered to be the main problems that face the world today. The use of Brown’s gas (HHO gas i.e. mixture of hydrogen and oxygen) as a new source of energy, reducing the amount of injected fuel and ensuring complete combustion of the mixture are gaining an increasing interest worldwide. There are two different types of HHO cells; HHO wet cell and HHO dry cell. In this paper, the HHO dry cell was used because it has several advantages, such as its small size and ease to install in engines. The HHO dry cell uses the electrolysis process in order to produce the HHO gas from water, which is ionized by adding NaOH as the electrolyte. Three types of HHO dry cell were used, namely alpha, beta and omega cells. Many measured data were done to choose the best one of the HHO dry cells. Oxygen sensor, MAP sensor, and MAF sensor were used to control the fuel injection. From the recorded measured experimental data, the beta cell has shown a good performance for the engine. The amount of HHO gas needed to be supplied to a 1500 CC engine is 0.375 LPM. The results also showed that there is a 17% reduction in fuel consumption and a 17% reduction in CO, a 27% reduction in HC, a 15% increase in O2 and a 1% increase in CO2.
- Subjects :
- Waste management
Hydrogen
Renewable Energy, Sustainability and the Environment
020209 energy
05 social sciences
Energy Engineering and Power Technology
chemistry.chemical_element
02 engineering and technology
Combustion
Fuel injection
Pulp and paper industry
law.invention
Ignition system
Fuel Technology
Nuclear Energy and Engineering
chemistry
law
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
Fuel efficiency
050207 economics
Oxygen sensor
Electrolytic process
MAP sensor
Subjects
Details
- ISSN :
- 01968904
- Volume :
- 155
- Database :
- OpenAIRE
- Journal :
- Energy Conversion and Management
- Accession number :
- edsair.doi...........328958e48ae4c6290b72e562ff21b42f
- Full Text :
- https://doi.org/10.1016/j.enconman.2017.10.076