ADS-B as a facilitator of bottom-up emission inventories: a one-day case study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F24%3A00378816" target="_blank" >RIV/68407700:21260/24:00378816 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.trpro.2024.11.012" target="_blank" >https://doi.org/10.1016/j.trpro.2024.11.012</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.trpro.2024.11.012" target="_blank" >10.1016/j.trpro.2024.11.012</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ADS-B as a facilitator of bottom-up emission inventories: a one-day case study

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

ADS-B as a facilitator of bottom-up emission inventories: a one-day case study

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20304 - Aerospace engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Transportation Research Procedia

ISBN

—

ISSN

2352-1465

e-ISSN

2352-1465

Počet stran výsledku

10

Strana od-do

108-117

Název nakladatele

Elsevier B.V.

Místo vydání

Amsterdam

Místo konání akce

Bratislava

Datum konání akce

23. 10. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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