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Impact of Multiple Injection Strategies on Performance and Emissions of Methanol PPC under Low Load Operation
Technical Paper
2020-01-0556
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
There is growing global interest in using renewable alcohols to reduce the greenhouse gases and the reliance on conventional fossil fuels. Recent studies show that methanol combined with partially premixed combustion provide clear performance and emission benefits compared to conventional diesel diffusion combustion. Nonetheless, high unburned hydrocarbon (HC) and carbon monoxide (CO) emissions can be stated as the main PPC drawback in light load condition when using high octane fuel such as Methanol with single injection strategy. Thus, the present experimental study has been carried out to investigate the influence of multiple injection strategies on the performance and emissions with methanol fuel in partially premixed combustion. Specifically, the main objective is to reduce HC, CO and simultaneously increase the gross indicated efficiency compared to single injection strategy. The work was performed with a single cylinder heavy duty engine, operated at 4 bar gross indicated mean effective pressure, and an engine speed of 1200 rpm. Double and triple injections were implemented with varying dwells, injection timings and fuel mass proportions. The experimental results were analyzed with a merit function to select the optimal injection strategy. Concerning emissions, the constraints for the merit function were based on the EURO VI limits, while the highest gross indicated efficiency for single injection was used to define the performance constraint. The results revealed that with proper dwell and mass proportion, multiple injection strategies can improve the gross indicated efficiency and reduce the emissions compare to single injection strategy.
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Aziz, A., Garcia, A., Pinto Dos Santos, C., and Tuner, M., "Impact of Multiple Injection Strategies on Performance and Emissions of Methanol PPC under Low Load Operation," SAE Technical Paper 2020-01-0556, 2020, https://doi.org/10.4271/2020-01-0556.Data Sets - Support Documents
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