Fuel flow analysis for the cruise phase of commercial aircraft on domestic routes

Turgut, Enis Turhan; Cavcar, Mustafa; Usanmaz, Öznur; Canarslanlar, Ali Ozan; Döğeroğlu, Tuncay; Armutlu, Kadir; Yay, Ozan Devrim

doi:10.1016/j.ast.2014.04.012

Cited by 46 publications

(16 citation statements)

References 12 publications

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“…In addition, highly sophisticated flight-planning system also improves the aircraft fuel efficiency because this allows pilots to exploit prevailing wind conditions, calculate precise fuel loads & set different flight levels and speeds for the aircraft to achieve the most economic performance. For a typical flight there are a number of factors such as cruise altitude and speed, mass, and weather conditions that affects the fuel consumption [108]. Therefore, by optimizing the aircraft operations from start-up through to taxi and takeoff, to cruise, to approach for landing and taxiing on arrival, have the significant to reduce the fuel burn.…”

Section: Aviation Operations and Infrastructurementioning

confidence: 99%

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Singh

Sharma

2015

Eur. Transp. Res. Rev.

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Objective This paper presents a review, classification schemes, critique, a simple meta-analysis and future research implication of fuel consumption optimization (FCO) literature in the air transport sector. This review is based on 277 articles published in various publication outlets between 1973 and 2014. Methodology A review of 277 articles related to the FCO in air transport was carried out. It provides an academic database of literature between the periods of 1973-2014 covering 69 journals and proposes a classification scheme to classify the articles. Twelve hundred of articles were identified and reviewed for their direct relevance to the FCO in air transport. Two hundred seventy seven articles were subsequently selected, reviewed and classified. Each of the 277 selected articles was categorized on four FCO dimensions (Aircraft technology & design, aviation operations & infrastructure, socioeconomic & policy measures, and alternate fuels & fuel properties). The articles were further classified into six categories of FCO research methodologies (analytical -conceptual, mathematical, statistical, and empirical-experimental, statistical, and case studies) and optimization techniques (linear programming, mixed integer programming, dynamic programming, gradient based algorithms, simulation modeling, and nature based algorithms). In addition, a simple meta-analysis was also carried out to enhance understanding of the development and evolution of research in the FCO. Findings and conclusions This has resulted in the identification of 277 articles from 69 journals by year of publication, journal, and topic area based on the two classification schemes related to FCO research, published between, 1973 to December-2014. In addition, the study has identified the 4 dimensions and 98 decision variables affecting the fuel consumption. Also, this study has explained the six categories of FCO research methodologies (analytical -conceptual, mathematical, statistical, and empirical-experimental, statistical, and case studies) and optimization techniques (linear programming, mixed integer programming, dynamic programming, gradient based algorithms, simulation modeling, and nature based algorithms). The findings of this study indicate that the analytical-mathematical research methodologies represent the 47 % of FCO research. The results show that there is an increasing trend in research of the FCO. It is observed that the number of published articles between the period 1973 and 2000 is less (90 articles), so we can say that there are 187 articles which appeared in various journals and other publication sources in the area of FCO since 2000. Furthermore there is increased trend in research on FCO from 2000 onward. This is due to the fact that continuously new researchers are commencing their research activities in FCO research. This shows clearly that FCO research is a current research area among many research groups across the world. Lastly, the prices of jet fuel have significantly increased since the 2005. The aviatio...

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Section: Aviation Operations and Infrastructurementioning

confidence: 99%

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Singh

Sharma

2015

Eur. Transp. Res. Rev.

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“…Turgut et al [38] studied the criteria affecting fuel consumption in the air transport. These criteria include cruise altitude, cruise flight time, aircraft speed and its mass.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring Energy Efficiency and Service Quality of Airlines with Cruise Speed Control

Gholami

Jalalian

Ramezanian

2016

IJOR

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In the past decade, fuel consumption and CO2 emission have increased in the airline industry. Large CO2 footprint has a damaging effect on the environment. Global concerns over this issue have made the airline industry to be greener. Most efforts of the green airline industry are improving the fuel consumption to reduce the CO2 emission and its environmental damage. Here, we use cruise speed control to control the fuel consumption and CO2 emission. Each aircraft has a different speed level needing a different fuel consumption. Service quality is studied besides the energy consumption. We investigate two objectives including total energy consumption (TEC) and passenger service level (PSL). TEC and PSL are conflicting in nature. We develop a mixed-integer nonlinear programming model to integrate schedule design, aircraft assignment and maintenance routing problems. We make use of the augmented ε-constraint method to solve the problem. To evaluate the model, a real data based on the Emirates airline flights is used. The results are compared using four different scenarios.Gholami, Jalalian and Ramezanian environment [39]. Also, there is a limit on CO2 emission in some countries [10]. Therefore, the airline industry tries to be eco-friendly and greener to reduce the damaging environmental effect. Green consideration has an economic benefit besides the positive environmental effects. Green efforts reduce the fuel consumption and CO2 emission in the airline industry. In this way, the fuel cost is reduced. Therefore, managers can price flight ticket at a lower rate. High prices have negative effects on customer loyalty [25], but low prices can attract more passengers and increases the market share. Green efforts can increase revenues by reducing costs and ticket prices. Also, positive publicity of green airlines encourages passengers to pay more for green flights as they pay more for better services [19]. Service quality is another important element to attract passengers. Improving the service level increases passengers' satisfaction and loyalty.Many researchers in operational research took advantage of optimization problems to reduce costs [9]. Results of operational research in the airline problems including schedule design, aircraft assignment and maintenance routing have proven to be effective for the industry [4]. We propose a new bi-objective mixed-integer nonlinear programming (MINLP) model to integrate schedule design, aircraft assignment and maintenance routing problems. We focus on total energy consumption and passenger service level as two conflicting objectives. We consider cruise speed control to overcome the conflict. Not having an effective model may lead to catastrophic damages. For example, an accident occurred for the Brazilian football players while traveling from Brazil to Colombia killing 72 passengers. The accident was due to inappropriate aircraft assignment to the flight. Aircraft fuel tank capacity was not enough for the flight. Therefore, the fuel finished before aircraft reached the destination...

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“…Finally, fuel costs constitute the biggest portion of airline operating expenses, thus extra fuel consumption adversely affects commercial air transportation (6,7) . Above all the other effects, fuel consumption is the most deterministic performance indicator regarding both economic and environmental impacts (8) . Aircraft Range Performance Parameters (ARPPs) are important not only to decrease the above-mentioned negative effects but also to maintain environmental and economic sustainability.…”

Section: Introductionmentioning

confidence: 99%

Enhanced cruise range prediction for narrow-body turbofan commercial aircraft based on QAR data

Atasoy

Çetek²

2020

Aeronaut. j.

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Aircraft performance parameters play a critical role in maintaining economic and environmental sustainability in aviation. Furthermore, the ability to calculate aircraft performance parameters accurately for the cruise range contributes to aviation in areas such as the preliminary design of aircraft and air traffic management. This study is focused on cruise range performance, as this is critical to both the evaluation and understanding of the economic and environmental impacts of commercial aircraft. Quick Access Recorders (QAR) data were used for more accurate analysis of the cruise range. The QAR data used in this study included 6,574 short-distance domestic flights by narrow-body turbofan commercial aircraft between 31 different city pairs. To obtain a more accurate cruise range equation, parameters affecting the cruise range performance were determined and studied. First, the drag polar model was improved to take the cambered profile, compressibility effects and cruise airspeeds of commercial aircraft into consideration using the real flight data. Second, Thrust-Specific Fuel Consumption (TSFC) models were compared and the most suitable one for the cruise phase was selected. After these steps, cruise range values were calculated using the Breguet range equation with these improved parameters. When the results of this enhanced range model were compared with the real flight data, the mean absolute percentage error (MAPE) was found to be 2.5% for all the Aircraft and Engine Type Groups (AETGs) considered in the data. This figure corresponds to a 7.9% smaller error than provided by previous range models based on simple parabolic drag polar and TSFC models. According to these results, the application of a simple parabolic drag polar and TSFC is not appropriate for cruise range calculations.

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Fuel flow analysis for the cruise phase of commercial aircraft on domestic routes

Cited by 46 publications

References 12 publications

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Exploring Energy Efficiency and Service Quality of Airlines with Cruise Speed Control

Enhanced cruise range prediction for narrow-body turbofan commercial aircraft based on QAR data

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