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Ing. Bo Stloukal

2025, Atmosphere, 16 (3), ISSN 2073-4433

As a consequence of measures imposed during the COVID-19 pandemic, anthropogenic emissions worldwide decreased markedly in impacted sectors, including the aviation industry. The aim of this study is to investigate the effects of the pandemic on aircraft emissions below the mixing height (3000 feet above ground) at Václav Havel Airport Prague during 2020. For this purpose, real aircraft emissions during 2020 were computed using provided surveillance data, while business-as-usual aircraft emissions that could have been expected at the airport that year under normal circumstances were estimated using traffic data from previous years and derived emission factors. We found that the median real emissions at the airport in 2020 were 220.859 t of NOX, 101.364 t of CO, 15.025 t of HC, 44,039.468 t of CO2, 17,201.825 t of H2O and 11.748 t of SO2. The median estimated reduction in emissions due to the pandemic in 2020 was −476.317 t of NOX, −203.998 t of CO, −28.388 t of HC, −95,957.278 t of CO2, −37,476.400 t of H2O and −25.595 t of SO2. Absolute differences between the real and business-as-usual emissions peaked in June 2020, while the relative differences peaked in April/May at −89.4% to −92.0%.

2024, Transportation Research Procedia, Amsterdam, Elsevier B.V.), p. 108-117), ISSN 2352-1465

This paper considers the use of ADS-B data to create more accurate, bottom-up airport emission inventories. For this purpose, a sample ADS-B dataset covering one day of operations at Prague's Václav Havel Airport is used. Within the data, individual airport movements are identified, the emissions of which are computed using specific time-in-mode values of the Landing and Take-Off (LTO) cycle that had been previously estimated for each movement based on the data. These are then compared with emissions computed using the standard time-in-mode values, both in terms of the different emission species as well as the four operating modes of the standard LTO cycle (Approach, Idle, Take-Off and Climb-Out). The results show that, after using the movement-specific time-in-mode values, the total calculated emissions decreased by at least 20 percent for all of the considered emission species, with the largest percentage changes occurring for hydrocarbons (HC) and carbon monoxide (CO) emissions and within the Idle and Climb-Out operating modes, highlighting the benefits of utilizing real data for this purpose.

2024, New Trends in Civil Aviation: Proceedings of the 24th International Conference on New Trends in Civil Aviation 2024, Praha, České vysoké učení technické v Praze), p. 197-202), ISBN 978-80-01-07181-6, ISSN 2694-7854

This paper explores the potential of refining the Landing and Take-off (LTO) cycle originally defined by the International Civil Aviation Organization (ICAO) through the use of Automatic Dependent Surveillance-Broadcast (ADS-B) data. In this paper, a methodology is developed to automatically analyze ADS-B data within the ASTERIX data format in order to estimate the duration of the take-off roll of individual airport movements, hence improving the time duration parameter of the take-off phase of the LTO cycle. By employing ADS-B data complemented by crowd-sourced aircraft databases, the paper also offers insights into the variations of take-off roll time among various aircraft types. The results show that using ADS-B data provides a good picture of actual operating conditions at the airport, thus enabling more accurate calculations of emissions within the LTO cycle and contributing to an improved understanding of the extent of environmental impacts of aviation activities at airports. This research contributes to the advancement of LTO cycle analysis, emphasizing the necessity of using real data in order to enhance its accuracy.

2023, Transportation Research Procedia - INAIR 2023, Linz, Elsevier BV), p. 161-172), ISSN 2352-1465

The article quantifies the emissions-related impacts of introducing battery-powered tractors for aircraft handling. It outlines various scenarios based on the extent of tractor utilization and compares emissions produced by aircraft engines that could be saved through the use of emission-free tractors, with the amount of emissions generated during electricity production. The case study focuses on the Czech Republic's environment and Václav Havel Airport Prague.