基于QAR数据的航空器节能减排降噪分析研究
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摘要
为解决节能减排科学评估问题,提出了基于QAR数据的航空器节能减排降噪分析方法。首先,对比分析了燃油消耗与污染排放的评估方法。然后,提出了基于QAR数据的燃油消耗与污染排放的评估方法。最后,以广州白云机场ATAGA进场为例,选取B777-300机型,对比分析连续下降运行与常规下降运行在燃油消耗与污染排放。实例验证表明:基于QAR数据进行航空器运行的节能减排分析更为准确;连续下降运行明显能够降低油耗、减少排放。
To evaluate energy saving and emission reduction scientifically, an analysis method of aircraft energy saving, emission reduction and noise reduction based on QAR data is proposed. Firstly, a comparative analysis is made on the assessment methods of fuel consumption and pollution emissions. Secondly, an evaluation method based on QAR data for fuel consumption and pollution emissions is proposed. Finally, taking the arrival operations of ATAGA entry fix at the Guangzhou Baiyun Airport and the B777-300 aircraft type as an example, the paper makes a comparative analysis on fuel consumption and emission of continuous descent operation and conventional descent operation. The example verification shows that the energy saving and emission reduction analysis of aircraft operation based on QAR data is more accurate; continuous descent operation can obviously reduce fuel consumption and emission.
To evaluate energy saving and emission reduction scientifically, an analysis method of aircraft energy saving, emission reduction and noise reduction based on QAR data is proposed. Firstly, a comparative analysis is made on the assessment methods of fuel consumption and pollution emissions. Secondly, an evaluation method based on QAR data for fuel consumption and pollution emissions is proposed. Finally, taking the arrival operations of ATAGA entry fix at the Guangzhou Baiyun Airport and the B777-300 aircraft type as an example, the paper makes a comparative analysis on fuel consumption and emission of continuous descent operation and conventional descent operation. The example verification shows that the energy saving and emission reduction analysis of aircraft operation based on QAR data is more accurate; continuous descent operation can obviously reduce fuel consumption and emission.
引文
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[6]孙见忠,左洪福,刘鹏鹏,等.航空发动机污染物排放量估算方法[J].交通运输工程学报, 2012, 12(2):53-61.
[7]吴文洁,胡荣,张军峰,等.基于BADA模型的飞机持续下降进近节能减排研究[J].武汉理工大学学报(交通科学与工程版), 2017, 41(4):668-672.
[8]朱海波.连续下降运行的航迹生成、跟踪和优化研究[D].南京,南京航空航天大学, 2018.
[9]张军峰,葛腾腾,陈强,等.离场航空器四维航迹预测及不确定性分析[J].西南交通大学学报, 2016, 51(4):800-806.
[2] Niko leris T, Gupta G, KistlerM. Detailed estimation offuel consumption and emissions during aircraft taxi operation sat Dallas/Fort Worth International airport[J]. Transportation Research Part D:Transport&Environment, 2011, 16(4):302-308.
[3] Singh V, Sharma S K. Fuel consumption optimization in air transport:areview, classification, critique, simple meta-analysis, and future research implications[J]. European Transport Research Review, 2015, 7(2):1-24.
[4] Owen B, Lee D S, Lim L. Flying into the future:aviation emissions scenarios to 2050[J]. Environmental Science&Technology, 2010, 44(7):255-260.
[5]魏志强,王超.航班飞行各阶段污染物排放量估算方法[J].交通运输工程学报, 2010, 10(6):48-52.
[6]孙见忠,左洪福,刘鹏鹏,等.航空发动机污染物排放量估算方法[J].交通运输工程学报, 2012, 12(2):53-61.
[7]吴文洁,胡荣,张军峰,等.基于BADA模型的飞机持续下降进近节能减排研究[J].武汉理工大学学报(交通科学与工程版), 2017, 41(4):668-672.
[8]朱海波.连续下降运行的航迹生成、跟踪和优化研究[D].南京,南京航空航天大学, 2018.
[9]张军峰,葛腾腾,陈强,等.离场航空器四维航迹预测及不确定性分析[J].西南交通大学学报, 2016, 51(4):800-806.