Biodiesel is a kind of clean and renewable energy. The effect of ethanol addition on the flame characteristics of waste oil biodiesel is studied by using OH-PLIF technique from the perspective of OH radical evolution....Biodiesel is a kind of clean and renewable energy. The effect of ethanol addition on the flame characteristics of waste oil biodiesel is studied by using OH-PLIF technique from the perspective of OH radical evolution. Ethanol addition leads to the appearance of diffusion flame reaction interface ahead of schedule and shortens the diffusion flame height. The experimental results show a linear correlation between the flame height and the fuel flow rate for a given fuel and oxidant. The same conclusion is drawn from the theoretical analysis of the approximate model. In addition. ethanol addition makes the average OH signal intensity of flame at different fuel flow rate tend to be consistent and the fuel flow rate enlarge where the flame field shows the strongest oxidation performance. Average OH signal intensity begins to weaken at larger fuel flow rate, which indicates that fuel flow rate of fuels blended with ethanol can change in larger range and does not significantly affect the uniformity of combustion.展开更多
An expert system for biomass soft-sensor hybrid modeling in fermentation process was decribed in this paper.A production rules representation based on database was presented.The definitions of production rules for bio...An expert system for biomass soft-sensor hybrid modeling in fermentation process was decribed in this paper.A production rules representation based on database was presented.The definitions of production rules for biomass soft-sensor hybrid modeling knowledge were proposed.A knowledge base with layered structure was introduced.A breadth-first reasoning approach based on match degree(BFMD) was developed.The definition and calculation method of match degree were illustrated.Compared with the depth-first reasoning approach based on exhaustive method(DFEM),the BFMD needs fewer introduced variables.This expert system could reduce the reasoning steps effectively,and advance reasoning efficiency.Tests shows that reasoning efficiency of the expert system using BFMD in the knowledge base with layered structure is improved 12.9% averagely,compared with using DFEM in the knowledge base with ranking structure.展开更多
基金Project(51766007)supported by the National Natural Science Foundation of ChinaProject(U1602272)supported by the NSFC-Yunnan Joint Fund Project+1 种基金Project(2015FB128)supported by the Natural Science Fund Project in Yunnan Province,ChinaProject(CNMRCUTS1704)supported by the Research Fund from State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization,China
文摘Biodiesel is a kind of clean and renewable energy. The effect of ethanol addition on the flame characteristics of waste oil biodiesel is studied by using OH-PLIF technique from the perspective of OH radical evolution. Ethanol addition leads to the appearance of diffusion flame reaction interface ahead of schedule and shortens the diffusion flame height. The experimental results show a linear correlation between the flame height and the fuel flow rate for a given fuel and oxidant. The same conclusion is drawn from the theoretical analysis of the approximate model. In addition. ethanol addition makes the average OH signal intensity of flame at different fuel flow rate tend to be consistent and the fuel flow rate enlarge where the flame field shows the strongest oxidation performance. Average OH signal intensity begins to weaken at larger fuel flow rate, which indicates that fuel flow rate of fuels blended with ethanol can change in larger range and does not significantly affect the uniformity of combustion.
基金National Natural Science Foundation of China (No. 20476007,No. 20676013)
文摘An expert system for biomass soft-sensor hybrid modeling in fermentation process was decribed in this paper.A production rules representation based on database was presented.The definitions of production rules for biomass soft-sensor hybrid modeling knowledge were proposed.A knowledge base with layered structure was introduced.A breadth-first reasoning approach based on match degree(BFMD) was developed.The definition and calculation method of match degree were illustrated.Compared with the depth-first reasoning approach based on exhaustive method(DFEM),the BFMD needs fewer introduced variables.This expert system could reduce the reasoning steps effectively,and advance reasoning efficiency.Tests shows that reasoning efficiency of the expert system using BFMD in the knowledge base with layered structure is improved 12.9% averagely,compared with using DFEM in the knowledge base with ranking structure.
