Methods for Low Engine Speed Torque Improvement of Natural Gas Engine for Commercial Vehicles: Experimental Observations with Turbocharger and Supercharger

Autor: Chandrakant R. Sonawane, J. P. Mohite, N. B. Chougule, Pritesh J. Suple, S. S. Thipse
Rok vydání: 2020
Předmět:
Zdroj: IOP Conference Series: Materials Science and Engineering. 810:012050
ISSN: 1757-899X
1757-8981
DOI: 10.1088/1757-899x/810/1/012050
Popis: Diesel engines have been powering a range of commercial vehicles for a many years. Considering air pollution, there is a thrust on use of natural gas (NG). Thereafter, natural gas engines for commercial vehicles have been subject of development, particularly to meet drivability demands and emissions requirements. Bus used for intra-city mass transportation of passengers is probably the most common form of natural gas commercial vehicle. Considering typical city applications, such vehicles is characterized by low speeds, frequent gear changes, start-stops, traffic conditions etc. For better drivability, they need higher traction at low engine speeds. This study captures few means of torque enhancement and motive is to integrate a selective ones as not much research is available mentioning enhancements specifically at low engine speeds. Turbocharging of natural gas engine is complicated due to high exhaust temperatures. As most turbocharger manufacturers cater to requirements of diesel engine, turbochargers for natural gas are simply not available. Many compromises are thus to be made. Under this study, four different turbochargers and one supercharger shall be simulated for experimenting and optimizing to enhance torque at low engine speeds. A virtual model of reference, naturally aspirated engine is built in appropriate software and its output is verified against test bed performance, to establish model faithfulness. Next, simulation runs with different turbochargers and superchargers are carried out. Various parameters are recorded and compared. Findings are recorded and it is noted that there is room for enhancement based on different hardware capabilities.
Databáze: OpenAIRE
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