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Model-Based Control for Dual-Fuel Engines
- Source :
- Frontiers in Mechanical Engineering, Vol 6 (2020)
- Publication Year :
- 2020
- Publisher :
- Frontiers Media SA, 2020.
-
Abstract
- The dual-fuel engine (DFE) has been focused on in order to improve its efficient use of natural gas. It has been reported that in DFE the combustion efficiency of the natural gas decreases at a low load. In an attempt to tackle this problem, it has been reported that a multi-stage diesel injection can improve the combustion efficiency of natural gas at a low load. The aim of this research is, therefore, to explain the mechanism for improving combustion efficiency with a multi-stage diesel injection and to develop a control model that predicts engines' combustion efficiency by multi-stage injection. Additionally, a controller was developed using the control model to improve the combustion efficiency by changing the diesel injection conditions. Experimental results show that the controller improves combustion efficiency. Furthermore, taking in to account the heat ratio of natural gas to diesel fuel in addition to combustion efficiency, it has been shown that it is possible to design a controller to leverage the advantage of DFE, which reduces the quantity of fossil fuels.
- Subjects :
- model-based control
lcsh:Mechanical engineering and machinery
02 engineering and technology
Combustion
Industrial and Manufacturing Engineering
Automotive engineering
Diesel fuel
0203 mechanical engineering
Natural gas
Control theory
Low load
lcsh:TJ1-1570
General Materials Science
business.industry
Mechanical Engineering
Fossil fuel
dual-fuel engines
021001 nanoscience & nanotechnology
Model based control
Computer Science Applications
Dual (category theory)
natural gas
020303 mechanical engineering & transports
control model
Environmental science
0210 nano-technology
business
combustion efficiency
Subjects
Details
- ISSN :
- 22973079
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Frontiers in Mechanical Engineering
- Accession number :
- edsair.doi.dedup.....a388e4187c80ad9d630d30a5b7ae38ec