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Development of mathematical models for engine performance and emissions of the producer gas-diesel dual fuel mode using Response Surface Methodology

机译:使用响应面方法的发动机性能和发动机性能和发射排放的数学模型的开发

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Gasification is a renewable technology used to convert agro-waste to combustible gas, called producer gas. The gas can partially replace diesel fuel, thereby increasing agro-waste exploitation and reducing fossil fuel demand. Many previous studies have focused on technical feasibility and improvement of engine performance and combustion characteristics using the approach of one factor at a time. This study developed the mathematical models of engine performance (i.e., specific diesel consumption (SDC), specific energy consumption (SEC), electricity-thermal efficiency (ETE)) and flue gas emissions for a dual producer gas-diesel engine using Response Surface Methodology (RSM). Three explanatory variables were considered, including diesel injection time (DIT), gas flow rate (Gas), and engine load (Load). The findings highlighted that all the developed models are significant, and only less than 0.05% that the models could occur due to noise. Gas is the most influential attribute of all the response variables, and the engine load was statistically significant for all the response variables (except the specific nitrogen oxide emission). The DIT factor affected the specific carbon monoxide and hydrocarbon emissions only. The interaction effects of Gas and Load on the SEC and specific carbon dioxide and carbon monoxide emissions were negatively significant. The interaction effect of Gas and DIT statistically influenced the specific hydrocarbon emission. The findings are informative for future studies of life cycle assessment, decision-making process, net energy analysis of biomass-based producer gas production, etc.
机译:气化是一种可再生技术,用于将农业废物转化为可燃气体,称为生产者气体。气体可以部分地取代柴油燃料,从而增加了农业废物剥削和减少化石燃料需求。以前的许多研究专注于使用一个因素的方法的技术可行性和发动机性能和燃烧特性的改进。本研究开发了发动机性能的数学模型(即,使用响应表面方法的双生产者气体 - 柴油发动机的烟气排放的发动机性能的数学模型(即,特定的柴油消耗(SDC),电力 - 热效率(SET))和烟气排放(RSM)。考虑了三个解释性变量,包括柴油喷射时间(DIT),气体流量(气体)和发动机负荷(负载)。这些调查结果强调,所有开发的模型都很重要,而且由于噪声可能发生模型的速度仅小于0.05%。气体是所有响应变量最有影响力的属性,发动机负荷对所有响应变量(特定氮氧化物发射除外)具有统计学意义。 DIT因子仅影响了特定的一氧化碳和烃排放。气体和负荷对秒和特定二氧化碳的相互作用影响和一氧化碳排放是负显着的显着显着。气体的相互作用效应统计学影响特定的烃排放。该研究结果是对生命周期评估,决策过程,基于生物量的生产者气体生产的净能量分析等进展的信息。

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