Calculation of aircraft fuel consumption and CO2 emissions based on path profile estimation by clustering and registration

Pagoni, Ioanna; Psaraki-Kalouptsidi, Voula

doi:10.1016/j.trd.2017.05.006

Cited by 40 publications

(8 citation statements)

References 23 publications

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“…Similar to Ref. 30, the cost of each component is modeled based on its linear relation with their size:

\cos t_{i} = \cos t_{i}^{initial} + \cos t_{i}^{slope} \times s_{i} normali \in ({},,,, EM, TE, FC, BAT)

where

\cos t_{i}^{initial}

and

{cost}_{i}^{slope}

are the initial cost and the baseline cost of components, respectively. Also, s i is the size variable of each component.…”

Section: System Modelingmentioning

confidence: 99%

“…Also, the aerodynamic drag resistance is modeled in Equation (15). In this equation, C D 0 is zero‐lift drag and K ind is the induced drag 30

ρ ((), h_{t}) = ρ_{0} . ((), k_{h} . h_{t} + b_{h})

m_{t} = m_{com} + m_{t}^{pay} + 10 % m_{com}

D_{t} = 0.5 . ρ ((), h_{t}) . {(v_{t})}^{3} . S . C_{D 0} + \frac{2 . {(m_{t} . g_{0})}^{2} K}{ρ ((), h_{t}) . v_{t} . S}

…”

Section: System Modelingmentioning

confidence: 99%

“…Aircraft fuel consumption and CO 2 emission are computed in Ref. 30 based on clustering and landmark registration method to predict the operational characteristic of flight. This estimation is based on aircraft profile, which may need heavy calculation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simultaneous components sizing and flight scheduling for an hybrid aerial vehicle as a multi‐energy mobile microgrid

Salehpour

Zarenia

Wang

et al. 2021

Int Trans Electr Energ Syst

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Summary This article proposes a component‐sizing problem for a hybrid unmanned aircraft alongside a coordinated energy consumption and flight scheduling. The goal is to simultaneously minimize the fuel consumption, the gaseous emission, and the overall costs of components (capital and operating costs) including fuel cell, battery, electric motor, and thermal engines. To this end, a non‐linear programming is proposed, and by an efficient decomposition method, it is solved under GAMS. The numerical results are compared with some evolutionary algorithms and showed that the proposed optimization framework exerts influence on the overall costs, energy efficiency, and computation time.

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“…Similar to Ref. 30, the cost of each component is modeled based on its linear relation with their size:

\cos t_{i} = \cos t_{i}^{initial} + \cos t_{i}^{slope} \times s_{i} normali \in ({},,,, EM, TE, FC, BAT)

where

\cos t_{i}^{initial}

and

{cost}_{i}^{slope}

are the initial cost and the baseline cost of components, respectively. Also, s i is the size variable of each component.…”

Section: System Modelingmentioning

confidence: 99%

“…Also, the aerodynamic drag resistance is modeled in Equation (15). In this equation, C D 0 is zero‐lift drag and K ind is the induced drag 30

ρ ((), h_{t}) = ρ_{0} . ((), k_{h} . h_{t} + b_{h})

m_{t} = m_{com} + m_{t}^{pay} + 10 % m_{com}

D_{t} = 0.5 . ρ ((), h_{t}) . {(v_{t})}^{3} . S . C_{D 0} + \frac{2 . {(m_{t} . g_{0})}^{2} K}{ρ ((), h_{t}) . v_{t} . S}

…”

Section: System Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Simultaneous components sizing and flight scheduling for an hybrid aerial vehicle as a multi‐energy mobile microgrid

Salehpour

Zarenia

Wang

et al. 2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…The Aircraft Performance Model Implementation software is developed to simulate the global commercial flight fuel burn and emissions during 2006-2011 (Wasiuk et al, 2015). Fuel consumption and CO 2 emission of a specific route are estimated by cluster analysis on historical trajectory data (Pagoni and Psaraki-Kalouptsidi, 2017). To better calculate aircraft fuel burn during ground operations, Kim and Baik (2020) used aircraft trajectory data acquired from an airport surface surveillance system.…”

Section: Introductionmentioning

confidence: 99%

Impacts of COVID-19 on aircraft usage and fuel consumption: A case study on four Chinese international airports

Xue

Liu

Wang

et al. 2021

Journal of Air Transport Management

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“…They have used 4D trajectory records, namely, latitude, longitude, altitude and time data to improve emissions calculation accuracy. Pagoni and Psaraki-Kalouptsidi (2017) have studied accurate path profile CO 2 emissions by using 4D base of aircraft data databases of Eurocontrol. This study has not focussed on the airport nor aerodrome, but aircraft's entire movements.…”

Section: Introductionmentioning

confidence: 99%

Determination of airports’ atmospheric mixing height boundaries using operational data

Dalkıran¹

2021

AEAT

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Purpose This study aims to determine the distance and duration to reach airports mixing height of 3,000 feet limit. Airport operations significantly contribute to the aircraft landing and take-off (LTO) cycle. Eurocontrol’s SO6 data sets comprise several abutted segment data to analyse the duration and distance for specific flights. Design/methodology/approach Two consequential methods have been used to calculate the distance and destination from the SO6 databases. First, SQL filtering and pivot tables were formed for the required data. Second, over 583,000 data lines for a year of Boeing 747–400 aircraft routes were calculated and filtered for the monthly assessments. Findings LTO cycles’ durations have deviated −24% to 76% from the ICAO assumptions. Distance facts determined for specific airports as 2.57 to 3.66 nm for take-off and 5.02 to 23.25 nm for the landing. The average duration of the aircraft’s in mentioned airport take-off are 66 to 74 s and 40 to 50 s; averages have been calculated as 70 to 44 s. Landing durations have been calculated for four different airports as 173 to 476 s. Practical implications This study provides a re-evaluation chance for the current assumptions and helps for better assessments. Each airport and aircraft combinations have their duration and distance figures. Originality/value This study has calculated the first LTO distances in the literature for the aerodrome. This method applies to all airports, airline fleets and aircraft if the segmented SO6 data are available.

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Calculation of aircraft fuel consumption and CO2 emissions based on path profile estimation by clustering and registration

Cited by 40 publications

References 23 publications

Simultaneous components sizing and flight scheduling for an hybrid aerial vehicle as a multi‐energy mobile microgrid

Simultaneous components sizing and flight scheduling for an hybrid aerial vehicle as a multi‐energy mobile microgrid

Impacts of COVID-19 on aircraft usage and fuel consumption: A case study on four Chinese international airports

Determination of airports’ atmospheric mixing height boundaries using operational data

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