北京航空航天大学学报 ›› 2020, Vol. 46 ›› Issue (3): 474-480.doi: 10.13700/j.bh.1001-5965.2019.0272

• 论文 • 上一篇    下一篇

基于QAR数据的碳当量值适航符合性验证方法

曹惠玲, 汤鑫豪   

  1. 中国民航大学 航空工程学院, 天津 300300
  • 收稿日期:2019-05-31 发布日期:2020-03-28
  • 通讯作者: 曹惠玲 E-mail:hlcao@cauc.edu.cn
  • 作者简介:曹惠玲,女,博士,教授。主要研究方向:航空发动机性能分析、航空发动机节能减排;汤鑫豪,男,硕士研究生。主要研究方向:航空发动机节能减排。
  • 基金资助:
    中央高校基本科研业务费专项资金(YCJJ201933);中国民航大学开放基金(000031020102)

Airworthiness compliance verification method of CO2 metric based on QAR data

CAO Huiling, TANG Xinhao   

  1. College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China
  • Received:2019-05-31 Published:2020-03-28
  • Supported by:
    the Fundamental Research Funds for the Central Universities (YCJJ201933); Civil Aviation University of China Open Fund (000031020102)

摘要: 为评估飞机碳排放水平并验证适航性,对国际民用航空组织最新的碳排放认证程序进行了研究。以比航程(SAR)和基准几何因子(RGF)组成的综合指标碳当量值作为评估适航性的度量,根据飞机最大起飞重量(MTOM)值选取试飞测量点,并确定对应的飞机碳当量值限制线。提出了一种基于快速存储记录器(QAR)数据的飞机碳当量水平快速评估方法,利用新服役飞机的QAR数据,使用多参数支持向量机回归(SVR)方法分别建立燃油消耗率和飞行速度相对于推力的修正关系,通过飞机总重换算求解3个飞行测量点条件下的SAR值,并计算碳当量值。使用一架B777-200新飞机的QAR数据进行实例分析,计算结果显示,该机型碳当量值为1.598 7,超出限制线20.5%。提出的基于QAR数据的碳当量值计算方法可以用于飞机碳排放水平的快速评估。

关键词: 碳当量值, 适航, 比航程(SAR), 基准几何因子(RGF), 快速存储记录器(QAR)数据

Abstract: To assess aircraft carbon dioxide emission levels and verify airworthiness, the latest ICAO certification process for carbon dioxide emissions has been studied. The comprehensive index CO2 metric consisting of the specific air range (SAR) and the reference geometry factor (RGF) is used as a measure of airworthiness. The test flight measurement point is selected according to the maximum takeoff weight (MTOM) value of the aircraft, and the corresponding aircraft carbon dioxide metric value limit line is determined. Based on this, a fast evaluation method of aircraft CO2 metric based on quick access recorder (QAR) data is proposed. Using the QAR data of the new serving aircraft, the corrected relationship between fuel consumption rate and thrust and that between airspeed and thrust are established by multi-parameter support vector machine regression (SVR) method. The total weight of the aircraft is used to solve the SAR values and the CO2 metric under the three flight test points. The QAR data of a new serving B777-200 aircraft was used for case analysis. The calculation results show that the CO2 metric of the model is 1.598 7, which exceeds the limit line by 20.5%. The proposed calculation method of CO2 metric based on QAR data can be used as an effective way to complete the rapid assessment of aircraft carbon dioxide emission levels.

Key words: CO2 metric, airworthiness, specific air range (SAR), reference geometry factor (RGF), quick access recorder (QAR) data

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