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Estimation of Aircraft Engine Gas Emission by Mining ADS-B Data for Peninsular Malaysia Airspace

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Renewable Energy Systems and Sources (ICRCE 2023)

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Aircraft engines release greenhouse gases that are comparable to those emitted from the combustion of fossil fuels, raising significant environmental concerns regarding their global and ground-level air quality impacts. With the escalating demand for air transport worldwide, air traffic has resulted in various issues and consequences for the global and national environments. The International Civil Aviation Organization (ICAO) has identified several pollutants in their database, including hydrocarbon (HC), carbon monoxide (CO), and nitrogen oxides (NOX). To estimate the gas emissions from aircraft engines, this study focused on gathering and analyzing aircraft movement data within the Kuala Lumpur Flight Information Regions (KLFIR) of Peninsular Malaysia, specifically limiting the analysis to the northern region. To accomplish this, a web-based application was developed, and a data mining approach was employed. The methodology comprised data collection and optimization, pre-processing and post-processing, database design, web application data analysis, and engine gas emission calculation, following the framework established by a prior study. The data utilized for this study were collected from existing equipment in the laboratory and obtained from freely available online services, specifically focusing on the year 2019. Through the data mining approach using ADS-B data, the analysis successfully estimated aircraft emissions, with nitrogen oxides (NOx) accounting for the highest emission count at 82% of the total, while carbon monoxide (CO) and hydrocarbon (HC) emissions were the lowest at 13 and 15%, respectively.

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This research was supported by UiTM Lestari Grant Number 600-RMC/MyRA 5/3/LESTARI (125/2020). The author would like to thank the Office of Research Management Centre (RMC) and also the Faculty of Applied Sciences, UiTM Shah Alam, Malaysia for sponsoring the research.

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Correspondence to N. A. Aini .

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Mustaffa, M., Aini, N.A., Ahmad, S., Ghazali, R. (2023). Estimation of Aircraft Engine Gas Emission by Mining ADS-B Data for Peninsular Malaysia Airspace. In: Kolhe, M.L. (eds) Renewable Energy Systems and Sources. ICRCE 2023. Springer, Singapore.

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  • Print ISBN: 978-981-99-6289-1

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