Analyzing commercial aircraft fuel consumption during descent: A case study using an improved K-means clustering algorithm

2019 ◽  
Vol 223 ◽  
pp. 869-882 ◽  
Author(s):  
Qing Zhu ◽  
Jun Pei ◽  
Xinbao Liu ◽  
Zhiping Zhou
Keyword(s):  
Fuel Consumption ◽  
Clustering Algorithm ◽  
Commercial Aircraft ◽  
Aircraft Fuel

Advanced Turbofan Engines for Low Fuel Consumption

1978 ◽  
Author(s):  
William Sens
Keyword(s):  
Fuel Consumption ◽  
Advanced Technology ◽  
Commercial Aircraft ◽  
New Production ◽  
Turbofan Engine ◽  
Fuel Savings ◽  
Turbofan Engines ◽  
Aircraft Fuel ◽  
Design Characteristics ◽  
Year 2000

The anticipated commercial aircraft fuel usage through the year 2000 is divided into three categories: that which will be consumed by existing engines, new production of current type engines, and new turbofan engines with advanced technology. Means of improving fuel consumption of each of these engine categories will be reviewed and the potential fuel savings identified. The cycle selection and design characteristics of an advanced turbofan engine configuration will be discussed and the potential improvements in fuel consumption and economics identified.

scholarly journals The impact of single engine taxiing on aircraft fuel consumption and pollutant emissions

2018 ◽  
Vol 122 (1258) ◽  
pp. 1967-1984 ◽  
Author(s):  
M. E. J. Stettler ◽  
G. S. Koudis ◽  
S. J. Hu ◽  
A. Majumdar ◽  
W. Y. Ochieng
Keyword(s):  
Fuel Consumption ◽  
Pollutant Emissions ◽  
Future Research ◽  
Reduce Fuel Consumption ◽  
Flight Data ◽  
Set Operations ◽  
Aircraft Fuel ◽  
Fuel Consumption And Emissions ◽  
The Impact

ABSTRACTOptimisation of aircraft ground operations to reduce airport emissions can reduce resultant local air quality impacts. Single engine taxiing (SET), where only half of the installed number of engines are used for the majority of the taxi duration, offers the opportunity to reduce fuel consumption, and emissions of NOX, CO and HC. Using 3510 flight data records, this paper develops a model for SET operations and presents a case study of London Heathrow, where we show that SET is regularly implemented during taxi-in. The model predicts fuel consumption and pollutant emissions with greater accuracy than previous studies that used simplistic assumptions. Without SET during taxi-in, fuel consumption and pollutant emissions would increase by up to 50%. Reducing the time before SET is initiated to the 25th percentile of recorded values would reduce fuel consumption and pollutant emissions by 7–14%, respectively, relative to current operations. Future research should investigate the practicalities of reducing the time before SET initialisation so that additional benefits of reduced fuel loadings, which would decrease fuel consumption across the whole flight, can be achieved.

Pengaruh Kepadatan Lalu Lintas Penerbangan Pada Saat Taxi-Out Terhadap Konsumsi Bahan Bakar Pesawat Udara (Studi Kasus: Bandar Udara Internasional Soekarno Hatta)

WARTA ARDHIA ◽  
2014 ◽  
Vol 40 (4) ◽  
pp. 215-222
Author(s):  
Minda Mora
Keyword(s):  
Fuel Consumption ◽  
Traffic Congestion ◽  
Air Traffic ◽  
International Airport ◽  
Aircraft Fuel

Dalam satu fase penerbangan dari bandar udara asal menuju bandar udara tujuan, pesawat udara akan mengalami beberapa fase terbang, salah satunya adalah fase taxi-out. Fase ini memberikan kontribusi yang cukup signifikan terhadap konsumsi bahan bakar pesawat udara, terutama ketika terjadi kepadatan lalu lintas pesawat udara karena waktu yang dibutuhkan pesawat udara untuk taxi-out menjadi lebih lama dari yang seharusnya. Penelitian ini bertujuan untuk menganalisis pengaruh kepadatan lalu lintas pesawat udara terhadap waktu taxi-out dan konsumsi bahan bakar di Bandar Udara Soekarno Hatta-Jakarta. Hasil perhitungan menunjukkan rata-rata 30% dari total jumlah penerbangan pada bulan Juli, Agustus dan September tahun 2014 mengalami keterlambatan keberangkatan karena terjadinya kepadatan lalu lintas pesawat udara pada saat taxi-out. Hal ini mengakibatkan kelebihan konsumsi bahan bakar pesawat udara sebesar 29% dibandingkan apabila pesawat udara dapat melakukan taxi-out dalam keadaan tanpa hambatan. [The Effect of Air Traffic Congestion on Taxi-out Time and Aircraft Fuel Consumption (Case Study: Soekarno-Hatta International Airport)] In a single flight, from the origin airport to the destination airport, the aircraft experiences several different flight phases, one of which is taxi-out phase. This taxi-out phase contributes significantly to aircraft fuel consumption particularly when air traffic congestion occurred due to the time needed in taxiing become much more longer than it should be. The aim of this research is to analyze the effect of air traffic congestion on taxi-out time and aircraft fuel consumption at Soekarno-Hatta International Airport. The results show that the average of 30% of the total number of flight in July, August, and September 2014 has been delayed due to air traffic congestion on taxi-out phase and it caused an increase of 29% on aircraft fuel consumption compared to uncongested taxi-out.

Traffic Flow Management Impact on Delay and Fuel Consumption: an Atlanta Case Study

2012 ◽  
Vol 20 (3) ◽  
pp. 203-224 ◽  
Author(s):  
Shon R. Grabbe ◽  
Banavar Sridhar ◽  
Avijit Mukherjee ◽  
Alexander Morando
Keyword(s):  
Fuel Consumption ◽  
Traffic Flow ◽  
Flow Management ◽  
Traffic Flow Management

Transfer of knowledge in chemical equipment reliability

1989 ◽  
Vol 54 (10) ◽  
pp. 2692-2710 ◽  
Author(s):  
František Babinec ◽  
Mirko Dohnal
Keyword(s):  
Fuzzy Clustering ◽  
Clustering Algorithm ◽  
Chemical Equipment ◽  
Transfer Of Knowledge ◽  
Equipment Reliability ◽  
Fuzzy Clustering Algorithm

The problem of transformation of data on the reliability of chemical equipment obtained in particular conditions to other equipment in other conditions is treated. A fuzzy clustering algorithm is defined for this problem. The method is illustrated on a case study.

scholarly journals Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)

2021 ◽  
Vol 10 (6) ◽  
pp. 403
Author(s):  
Jiamin Liu ◽  
Yueshi Li ◽  
Bin Xiao ◽  
Jizong Jiao
Keyword(s):  
Decision Making ◽  
Clustering Algorithm ◽  
Fuzzy Membership Function ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection ◽  
Spatial Distribution Characteristics ◽  
Criteria Weights ◽  
Spatial Decision Making ◽  
Complex Decision

The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods.

The WLTC vs NEDC: A Case Study on the Impacts of Driving Cycle on Engine Performance and Fuel Consumption

2021 ◽  
Vol 18 (3) ◽  
pp. 9071-9081
Author(s):  
Jakub Lasocki
Keyword(s):  
Fuel Consumption ◽  
Combustion Engine ◽  
Engine Performance ◽  
Driving Cycle ◽  
Performance Characteristics ◽  
Pollutant Emission ◽  
Strong Impact ◽  
Light Duty ◽  
Light Duty Vehicles

The World-wide harmonised Light-duty Test Cycle (WLTC) was developed internationally for the determination of pollutant emission and fuel consumption from combustion engines of light-duty vehicles. It replaced the New European Driving Cycle (NEDC) used in the European Union (EU) for type-approval testing purposes. This paper presents an extensive comparison of the WLTC and NEDC. The main specifications of both driving cycles are provided, and their advantages and limitations are analysed. The WLTC, compared to the NEDC, is more dynamic, covers a broader spectrum of engine working states and is more realistic in simulating typical real-world driving conditions. The expected impact of the WLTC on vehicle engine performance characteristics is discussed. It is further illustrated by a case study on two light-duty vehicles tested in the WLTC and NEDC. Findings from the investigation demonstrated that the driving cycle has a strong impact on the performance characteristics of the vehicle combustion engine. For the vehicles tested, the average engine speed, engine torque and fuel flow rate measured over the WLTC are higher than those measured over the NEDC. The opposite trend is observed in terms of fuel economy (expressed in l/100 km); the first vehicle achieved a 9% reduction, while the second – a 3% increase when switching from NEDC to WLTC. Several factors potentially contributing to this discrepancy have been pointed out. The implementation of the WLTC in the EU will force vehicle manufacturers to optimise engine control strategy according to the operating range of the new driving cycle.

scholarly journals An Effective Evolutionary Clustering Algorithm: Hepatitis C Case Study

2011 ◽  
Author(s):  
M. H. Marghny ◽  
Rasha M. Abd El-Aziz ◽  
Ahmed I. Taloba
Keyword(s):  
Hepatitis C ◽  
Clustering Algorithm ◽  
Evolutionary Clustering
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