Fine particles emission characterization of civil aviation aircraft during takeoff
HAN Bo;LIU Ya-ting;CHEN Xin;REN Qiang;WEI Zhi-qiang;Tianjin Key Laboratory for Air Traffic Operation Planning and Safety Technology,College of Air Traffic Management, Civil Aviation University of China;State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University;Flight Department, Tianjin Airlines;
Boeing 737~800 was selected as a typical model in this thesis. Based on BM2-FOA coupling model, PM_(2.5)emission indices in full thrust and reduced thrust takeoff from the takeoff time to the height of 1000 m were obtained through aircraft performance parameters simulation, and emission loads were worked out then. At the same time, the influences of sulfur content on emission levels were presented, and then the contributions to PM_(2.5) emissions from different components were calculated. A comparison was made between the results using coupling model and ICAO standard parameters. The result showed that the differences of PM_(2.5) emission indices were mainly during the period of takeoff on the ground before climbout. The PM_(2.5) emission of a full thrust takeoff is the largest which the amount is 37.6g(low-sulfur fuel), because of the highest emission indices of non-volatile and volatile organic PM_(2.5) components. In terms of reduced thrust processes, PM_(2.5) emissions decreased to 36.7~35.5g. PM_(2.5) emissions increased by 150% when high-sulfur fuel is used. It has been found from the comparison that the emissions calculated by ICAO standard parameters lead to relatively large errors. Compared with the light-duty gasoline vehicle(national Ⅳ standard), the PM_(2.5)emissions of one full thrust takeoff with low-sulfur fuel and high-sulfur fuel equal the emissions of running 2984 km and 7294 km respectively. Accurate calculation method is supposed be the basis for the preparation of aircraft emission inventory in the airport area.
【Fund】： 国家自然科学基金项目(21407174);; 天津市应用基础与前沿技术研究计划项目(14JCQNJC08100);; 中央高校基本科研业务费专项(3122016A012 ZXH2012C003 3122016D025 3122017063);; 中国民航大学科研启动基金项目(2012QD03X)
【CateGory Index】： X738
【CateGory Index】： X738