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排序方式: 共有493条查询结果,搜索用时 31 毫秒
181.
采用实验室底盘测功机和全流定容稀释采样系统(CVS),搭载EEPS3090,开展了国三重型柴油车加装催化型颗粒物捕集器(CDPF)前后颗粒物排放因子和粒径分布比较,进一步分析了不同工况下CDPF对各模态颗粒物排放因子的影响.结果表明,重型柴油车加装CDPF前后基于单位里程的颗粒物数量排放因子分别为(2.7±1.1)×1015 km-1和7.9×1014 km-1,CDPF对颗粒物数量减排率为71.10%,其中对核模态和聚集态颗粒物数量减排率分别为28.70%和84.95%.随着车速的增加,CDPF对聚集态颗粒物数量减排效果良好,核模态颗粒物数量减排率急剧下降.高速工况下颗粒物在CDPF内部出现大粒径颗粒物向小粒径颗粒物转化的现象,导致核模态颗粒物数量排放因子的增加,应引起足够的重视. 相似文献
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Xiaoyan SHI Kebin HE Jie ZHANG Yongliang MA Yunshan GE Jianwei TAN 《Frontiers of Environmental Science & Engineering》2010,4(1):30-34
Oxygenated fuels are known to reduce particulate matter (PM) emissions from diesel engines. In this study, 100% soy methyl ester (SME) biodiesel fuel (B100) and a blend of 10% acetal denoted by A-diesel with diesel fuel were tested as oxygenated fuels. Particle size and number distributions from a diesel engine fueled with oxygenated fuels and base diesel fuel were measured using an Electrical Low Pressure Impactor (ELPI). Measurements were made at ten steady-state operational modes of various loads at two engine speeds. It was found that the geometric mean diameters of particles from SME and Adiesel were lower than that from base diesel fuel. Compared to diesel fuel, SME emitted more ultra-fine particles at rated speed while emitting less ultra-fine particles at maximum speed. Ultra-fine particle number concentrations of A-diesel were much higher than those of base diesel fuel at most test modes. 相似文献
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Selman Aydın Şehmus Altun Hüseyin Aydın 《International Journal of Green Energy》2016,13(11):1102-1108
In this study, the top surfaces of piston and valves of a four-strokes and direct-injection diesel engine have been coated—with no change in the compression ratio—with a 100 μm of NiCrAl lining layer via plasma spray method and this layer has later been coated with main coating material with a mixture of 88% of ZrO2, 4% of MgO and 8% of Al2O3 (400 μm). Then, after the engine-coating process, ultra-low sulfur diesel (ULSD) as base fuels and its blend with used frying cottonseed oil derived biodiesel in proportion of 20%, volumetrically, have been tested in the coated engine and data of combustion and performance characteristics on full load and at different speeds have been noted. The results, which were compared with those obtained by uncoated-engine operation, showed that thermal efficiency increased, and engine noise reduced. Cylinder gas pressure values obtained from the diesel engine which has been coated with thermal barriers have been found to be somewhat higher than those of the uncoated-engine. Also, maximum pressure values measured in both engines and under the same experimental conditions through the use of test fuel have been obtained after TDC. Moreover, heat release rate and heat release have occurred earlier in the coated-engine. NOx emissions were increased while CO and HC emissions were remained almost the same with a little bit decrease. 相似文献
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Gnanasekaran Sakthivel Sivakumar R Mani Ilangkumaran Bernard W. Ikua 《International Journal of Green Energy》2016,13(14):1517-1533
The increasing demand on energy due to population growth and rising of living standards has led to considerable use of fossil fuels which has in turn, had an adverse impact on environmental pollution and depletion of fossil fuels in Internal Combustion (IC) engine sector. Alternative fuel blend evaluation in IC engine fuel technologies is a very important strategic decision involving decisions balancing within a number of criteria and opinions from different decision maker of IC engine experts. The selection of appropriate source of biodiesel and proper blending of biodiesel plays a major role in alternate energy production. This paper describes an application of hybrid Multi Criteria Decision Making (MCDM) technique for the selection of optimum biodiesel blend in the IC engine. The proposed model, Analytical Network Process (ANP) is integrated with Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to evaluate the optimum blend. Here the ANP is used to determine the relative weights of the criteria, whereas TOPSIS is used for obtaining the final ranking of alternative blends. An efficient pair-wise comparison process and ranking of alternatives can be achieved for optimum blend selection through the integration of ANP and TOPSIS. The obtained preference order for the blends are as B20 > B40 > Diesel > B60 > B80 > B100. This paper highlights a new insight into MCDM techniques to evaluate the best fuel blend for the decision makers such as engine manufactures and R&D engineers to meet the fuel economy and emission norms to empower the green revolution. 相似文献
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