Literature DB >> 32145615

Characterizing aircraft engine fuel and emission parameters of taxi phase for Shanghai Hongqiao International Airport with aircraft operational data.

Hao Xu1, Kai Xiao2, Jinping Cheng1, Yamei Yu1, Qizhen Liu3, Jun Pan3, Jiajia Chen4, Fangting Chen4, Qingyan Fu5.   

Abstract

Aircraft engine emissions during landing and take-off cycle are commonly estimated on the basis of the International Civil Aviation Organization (ICAO) promulgated calculation model and emission parameters; however, the ICAO certified parameters are generally not applicable for an individual airport. In this study, the operation times, fuel and emission parameters of 8 aircraft models during taxi phase at Shanghai Hongqiao International Airport (SHA) are analyzed with the Aircraft Communication Addressing and Reporting System (ACARS) data, and compared with corresponding values referenced by the ICAO. The results show perceptible discrepancies between the SHA-specific and ICAO certified values. The taxi-out times at SHA are considerably overestimated (up to 35.3%) by ICAO for all the analyzed aircraft models, whereas the taxi-in durations are highly close to the ICAO referenced value with a variation within -6.3% to 9.7%. In the majority of cases, the localized fuel flows and emission indices (EIs) are overvalued by ICAO, and the extent of overestimation can be as large as 21.6% and 28.3%, respectively. Variabilities in operation times, fuel and emission parameters are also characterized depending on aircraft types. Additionally, as a novel attempt, the effect of engine aging on EIs is explored and no significant correlation has been detected, indicating that other factors may affect the EIs dominantly over engine age. The resulting SHA-specific emission parameters are significant towards a precise emission quantification and modeling of impacts on air quality and health.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aircraft emissions; Aircraft operational data; Emission indices; Fuel consumption

Year:  2020        PMID: 32145615     DOI: 10.1016/j.scitotenv.2020.137431

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  National emissions inventory and future trends in greenhouse gases and other air pollutants from civil airports in China.

Authors:  Kai Wang; Xiaoqi Wang; Shuiyuan Cheng; Long Cheng; Ruipeng Wang
Journal:  Environ Sci Pollut Res Int       Date:  2022-06-23       Impact factor: 5.190

  1 in total

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