Relevant bibliographies by topics / Fuel consumpion

Academic literature on the topic 'Fuel consumpion'

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Published: 10 March 2023

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Journal articles on the topic "Fuel consumpion"

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Huang, Wei, Xin Zhang, and Zhun Qing Hu. "Selection of New Energy Vehicle Fuels and Life Cycle Assessment." Advanced Materials Research 834-836 (October 2013): 1695–98. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1695.

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Life cycle energy consumption and environment emission assessment model of vehicle new energy fuels is established. And life cycle energy consumption and environmental pollutant emissions of new energy fuels are carried out. Results show that the full life cycle energy consumption of alcohol fuels is highest, and the full life cycle energy consumption of the fuel cell is lowest, and the fuel consumption is mainly concentrated in the use stage, and that is lowest in the raw material stage. And the full life cycle CO2 emission of methanol is highest, and the full life cycle CO2 emission of Hybrid is lowest. The full life cycle VOCHCNOXPM10 and SOX emissions of alcohol fuels is highest, and the fuel cell is lowest.
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Mizushima, Norifumi, Susumu Sato, Yasuhiro Ogawa, Toshiro Yamamoto, Umerujan Sawut, Buso Takigawa, Koji Kawayoko, and Gensaku Konagai. "FL1-4: A Study on Power, Fuel Consumption and Exhaust Emissions of an LPG Engine with Liquid Fuel Injection System(FL: Fuels and Lubricants,General Session Papers)." Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines 2008.7 (2008): 779–86. http://dx.doi.org/10.1299/jmsesdm.2008.7.779.

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Akbarnia, A., and F. Farhani. "Study of fuel consumption in three tillage methods." Research in Agricultural Engineering 60, No. 4 (November 27, 2014): 142–47. http://dx.doi.org/10.17221/70/2012-rae.

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Fuel consumption per hectare of tilled land for the conventional or maximum tillage, reduced tillage using a multi-task machine, and no-tillage using a direct drill planter has been studied and compared. Time taken and number of tractor trips needed for performing tillage operations were used for comparison. Yield of crop per hectare was also used for the study. Duncan’s multiple range test was used to compare and analyse the data. Results of fuel consumption were 59.33, 29.67 and 14.33 l/ha for the max. tillage, reduced tillage, and no-tillage cases, respectively. The corresponding yield of crop for these methods were 8.07, 7.90, and 6.33 t/ha, respectively. Therefore, the reduced and no-tillage methods provide enough energy saving per ton of yield to justify their use as good replacements for the max. tillage method in Iran. Also, considering land conditions in Iran, use of direct drill planters is recommended for dry cultivated or traditionally irrigated farms, and multi-task machinery for all types of irrigation systems and land conditions.  
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Ciesielski, Radosław, Mateusz Zakrzewski, Oleksandr Shtyka, Tomasz Maniecki, Adam Rylski, Marek Wozniak, Przemyslaw Kubiak, and Krzysztof Siczek. "The Research on Characteristics of CI Engine Supplied with Biodiesels from Brown and Yellow Grease." Energies 15, no. 11 (June 1, 2022): 4083. http://dx.doi.org/10.3390/en15114083.

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The effect of three kinds of fuels used to supply a diesel engine on its characteristics, fuel consumption, and emissions was studied. The fuels comprised pure diesel, a blend of diesel with 6% of methyl ester of yellow grease in the form of rapeseed oil, and a blend of diesel with methyl ester of brown grease in the form of goose fat. The chromatographic analysis was conducted for these fuels, and the results are presented. Two tests, comprising measurement of fuel consumption and engine emissions, were conducted on a vehicle with a diesel engine operating under zero load and under full load. The engine’s characteristics, including both power and torque versus speed, were determined under full engine load. The results of these tests are presented in this paper. The results indicated that the use of different methyl ester-based biodiesel blends with the same content of diesel to supply the diesel engine resulted in different fuel consumption and emissions of the engine not only in comparison to the supply of pure diesel but between biodiesels analyzed.
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Goossens, Paul, and Avesta Goodarzi. "Full-Vehicle Model Development for Prediction of Fuel Consumption." SAE International Journal of Fuels and Lubricants 6, no. 2 (April 8, 2013): 486–504. http://dx.doi.org/10.4271/2013-01-1358.

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Baltacioğlu, Mustafa Kaan, Kadi̇r Aydin, Ergül Yaşar, Hüseyi̇n Turan Arat, Çağlar Conker, and Alper Burgaç. "Experimental Investigation of Performance and Emission Parameters Changes on Diesel Engines Using Anisole Additive." Applied Mechanics and Materials 490-491 (January 2014): 987–91. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.987.

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In this study, effect of anisole additive into the diesel fuel on performance and emission parameters of diesel engines was investigated. Instead of structural changes which are more difficult and expensive, development of fuel technologies is preferred to provide reduction on exhaust gas emissions which are harmful to environment and human health. Therefore, in this experimental study, anisole was used as additive into diesel fuel with the volumetric ratio of 1,5%, 3% and 5%. The performance characteristics and exhaust emissions of a four cylinder, four stroke, naturally aspirated, water cooled, direct injection compression ignition engine fueled with modified fuels were analyzed. Engine was subjected constant speed, full load conditions during tests. Engine power, torque, specific fuel consumption, carbon monoxide, nitrogen oxide and carbon dioxide emissions were measured and results were evaluated. Changes in performance parameters were negligible for all ratios of modified fuels except specific fuel consumption. Finally, while carbon monoxide gas emissions were increased with anisole additive, carbon dioxide and nitrogen oxide gas emissions were decreased.
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Price, Martin, Melinda Barnard-Tallier, and Karin Troncoso. "Stacked: In Their Favour? The Complexities of Fuel Stacking and Cooking Transitions in Cambodia, Myanmar, and Zambia." Energies 14, no. 15 (July 23, 2021): 4457. http://dx.doi.org/10.3390/en14154457.

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It remains unclear whether the decision to cook with both polluting and cleaner-burning fuels (‘fuel stacking’) serves as a transition phase towards the full adoption of clean-cooking practices, or whether stacking allows households to enhance fuel security and choose from a variety of cooking technologies and processes. This paper offers a unique contribution to the debate by positioning fuel stacking as the central research question in the exploration of existing household survey data. This research analyses the World Bank’s Multi-Tier Framework survey data concerning energy access and cooking practices in Cambodia, Myanmar, and Zambia. Its novel approach uses fuel expenditure data to group urban households according to the intensity of biomass consumption (wood, charcoal) relative to modern fuel consumption (electricity, gas). The research explores how different fuel-stacking contexts are associated with factors related to household finances, composition, experiences of electricity, and attitudes towards modern fuels. This study shows the diversity of characteristics and behaviours associated with fuel stacking in urban contexts, thus demonstrating the need for fuel stacking to feature prominently in future data collection activities. The paper ends with five key recommendations for further research into fuel stacking and its role in clean-cooking transitions.
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Turmina, R., C. R. Altafini, C. A. Costa, G. D. Telli, and J. S. Rosa. "SMALL ENGINE-GENERATOR SET OPERATING ON DUAL-FUEL MODE WITH ETHANOL – CASTOR OIL BLENDS." Revista de Engenharia Térmica 19, no. 2 (December 21, 2020): 17. http://dx.doi.org/10.5380/reterm.v19i2.78609.

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The increase in greenhouse gas emissions and our dependence on fossil fuels have motivated researchers to seek the use of renewable fuels in internal combustion engines, which can be produced locally and have clean combustion. The blending method in diesel engines has been recognized as an effective alternative to partially or totally replace the use of diesel fuel. In this regard, this paper studied the operation of a small engine-generator set in mono-fuel mode (diesel fuel - DO) and in dual-fuel mode using hydrous ethanol (HET) and castor oil (OM) blends, indicating a total replacement of diesel fuel. Efficiency, power, specific fuel consumption and gaseous emissions were assessed in a single cylinder diesel cycle engine. The percentages in volume of the HET-OM samples were: 75% - 25%, 70% - 30%, 60% - 40%, and 50% - 50%. The exhaust gas temperature decreased with the mixtures. Carbon monoxide emission decreased 57%, carbon dioxide decreased 9.8%, and nitrogen oxides reduced 19%. It was also observed that the percentage of smoke opacity tends to decrease close to zero with addition of ethanol. Hydrocarbon emissions increased with rising of the OM concentration and the same for the specific fuel consumptions, which was 25.4% higher than diesel fuel. The best fuel conversion efficiency was achieved with the blend HET75-OM25, being 9% higher compared to diesel fuel operation. Power on diesel fuel operation showed a better result keeping stable, with the increase of the compression ratio and the delay of the start of injection. In general, the results confirmed that the performance is comparable to that of diesel fuel, indicating that renewable fuels appear as an alternative for the reduction of the environmental impacts and the reduction of fossil fuels consumption.
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Chen, Yen-Jen, and Chia-Hung Chien. "Fuel Consumption System." Journal of Computer and Communications 03, no. 05 (2015): 153–58. http://dx.doi.org/10.4236/jcc.2015.35019.

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Nur, Raybian. "Effect of Additives to Premium on Fuel Consumption." JMIO: Jurnal Mesin Industri dan Otomotif 2, no. 1 (January 26, 2021): 11–16. http://dx.doi.org/10.46365/jmio.v2i01.401.

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The use of internal combustion motors has various positive and negative impacts. A large number of motorized vehicles affect the high demand for fuel. Fuel oil is a vital economic object because it dramatically influences the financial entity, namely the increase in goods and services. What can do several things to reduce the high demand for this fuel, namely by looking for alternative fuels or finding fuel economy. The purpose of this study was to determine the impact of adding additives to fuel on fuel consumption. The research method applies an experimental procedure in which the percentage of mixing premium fuel with additives between camphor and eco racing with a content of 1 - 4 grams of additive for each sample tested on a vehicle. The results obtained are adding additives the properties of premium fuels change in terms of fuel consumption where the addition of several types of additives can reduce the rate of fuel consumption. The results obtained are that with the addition of these additives, the fuel consumption becomes more efficient by a difference of approximately 6 ml/minute.
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Dissertations / Theses on the topic "Fuel consumpion"

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Alghadhi, Mostafa. "Validation of vehicle fuel consumption." Thesis, University of Huddersfield, 2015. http://eprints.hud.ac.uk/id/eprint/24697/.

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The state of environmental degradation demands that factors contributing to it be looked into. A chief cause of environmental degradation is exhaust emissions from vehicles, especially passenger cars. This paper attempts to quantify the relationship between vehicle fuel emissions and the various factors that contribute to it such as speed, acceleration, throttle position etc. The central contention was to come up with anempirical correlation that could be used to reliably tabulate the fuel consumption of a passenger vehicle. The derivation of an empirical correlation between vehicle fuel consumption and the factors contributing to it would allow an optimisation of vehicle fuel consumption to reduce greenhouse gas emissions. Using a comparison of different driving cycles, the New European Driving Cycle (NEDC) was taken as the basic framework for testing. The research was carried out in two different phases i.e. laboratory testing and real life drive tests. Laboratory testing was utilised to generate the major parameters that affected vehicle fuel consumption. This was then used to derive an empirical correlation that was then tested in the field to determine its validity. The proposed empirical correlation was tested against real life driving conditions which proved the reliability of the empirical correlation. A number of different driving conditions were simulated including urban driving, extra urban driving and highway driving. The varied testing scheme ensured that the empirical correlation was valid for various driving situations at the same time. The derivation of such an empirical correlation through this work removed one of the chief defects of different driving cycles which was the lack of standardisation for testing. With the application of this tested model it would be easier and convenient to control pollution considerably through additional research in the future.
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Rohani, Munzilah. "Bus driving behaviour and fuel consumption." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/352191/.

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The behaviour of driver is influenced by many factors, which include the personal characteristics (attitude, experience etc.) environmental (road geometry, traffic control etc.) and vehicle characteristics (performance, load etc.). Professional drivers, such as bus drivers, generally have higher levels of training and experience, and by virtue of their profession have attitudes, which are more likely to promote with save driving. However bus drivers experience the same environmental traffic condition as other drives, as well as additional constraints imposed by the vehicle characteristics, concern for passenger comfort/safety and the need to adhere to timetables. This research is focussed on understanding the behaviour differences both between and within bus drivers leaving from different types of stops. Understanding such differences will enable approaches to be developed to modifying behaviour so as to improve fuel consumption. A substantial database was collected with the cooperation of the UniLink bus operation in Southampton. The database consisted of detailed knowledge of bus location, instantaneous speed (reflecting the combination of behaviour and vehicle control), acceleration, accelerator pedal position(reflecting driver behaviour) and fuel consumption records. The data was gathered using a Portable Vehicle CANBus System (PVCS) combined with GLOBAL positioning System (GPS) on 2 buses. This research adopted advanced technology to mount the instantaneous accelerator pedal control of the driver, acceleration and fuel consumption. The devices used in this study provide a transferable methodology for the appraisal of fuel consumption saving through changes in acceleration behaviour (within 10 seconds leaving from stationary). The finding of this study revealed that the bus fuel consumption is sensitive to the level of acceleration. In the situation studied, the fuel consumption increased 67% for acceleration increase in the range 0.5 ms-2 to 1.5 ms-2 when leaving from stationary. More than 50 ml fuel is saved per acceleration within 10 second leaving from stationary if the driver reduces the rate of acceleration. Shifting driving behaviour from aggressive toward normal driving or from normal to economic save more than 20% or 40% fuel consumption respectively. However, the driving behaviour of the bus was influenced by factors such environment, passenger on board, and road condition that influences bus ability to accelerate and hence affect fuel consumption.
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Yue, Huanyu. "Mesoscopic Fuel Consumption and Emission Modeling." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/26695.

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The transportation sector is a major contributor to U.S. fuel consumption and emissions. Consequently, assessing the environmental impacts of transportation activities is essential for air-quality improvement programs. Current state-of-the-art models estimate vehicle emissions based on typical urban driving cycles. Most of these models offer simplified mathematical expressions to compute fuel consumption and emission rates based on average link speeds while ignoring transient changes in a vehicleâ s speed and acceleration level as it travels on a highway network. Alternatively, microscopic models capture these transient effects; however, the application of microscopic models may be costly and time consuming. Also, these tools may require a level of input data resolution that is not available. Consequently, this dissertation attempts to fill the void in energy and emission modeling by a framework for modeling vehicle fuel consumption and emissions mesoscopically. This framework is utilized to develop the VT-Meso model using a number of data sources. The model estimates average light-duty vehicle fuel consumption and emission rates on a link-by-link basis using up to three independent variables, namely: average travel speed, average number of stops per unit distance, and average stop duration. The mesoscopic model utilizes a microscopic vehicle fuel consumption and emission model that was developed at Virginia Tech to compute mode-specific fuel consumption and emission rates. This model, known as VT-Micro, predicts the instantaneous fuel consumption and emission rates of HC, CO and NOx of individual vehicles based on their instantaneous speed and acceleration levels. The mesoscopic model utilizes these link-by-link input parameters to construct a synthetic drive cycle and compute average link fuel consumption and emission rates. After constructing the drive cycle, the model estimates the proportion of time that a vehicle typically spends cruising, decelerating, idling and accelerating while traveling on a link. A series of fuel consumption and emission models are then used to estimate the amount of fuel consumed and emissions of HC, CO, CO2, and NOX emissions for each mode of operation. Subsequently, the total fuel consumed and pollutants emitted by a vehicle while traveling along a segment are estimated by summing across the different modes of operation and dividing by the distance traveled to obtain distance-based average vehicle fuel consumption and emission rates. The models are developed for normal and high emitting vehicles. The study quantifies the typical driver deceleration behavior for incorporation within the model. Since this model constructs a drive cycle which includes a deceleration mode, an accurate characterization of typical vehicle deceleration behavior is critical to the accurate modeling of vehicle emissions. The study demonstrates that while the deceleration rate typically increases as the vehicle approaches its desired final speed, the use of a constant deceleration rate over the entire deceleration maneuver is adequate for environmental modeling purposes. Finally, the study validates the model on a freeway and urban arterial network. The results demonstrate that the model provides accurate estimates of vehicle fuel consumption and emission rates and is adequate for the evaluation of transportation operational projects.
Ph. D.
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Ahn, Kyoungho. "Microscopic Fuel Consumption and Emission Modeling." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36471.

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Mathematical models to predict vehicle fuel consumption and emission metrics are presented in this thesis. Vehicle fuel consumption and emissions are complex functions to be approximated in practice due to numerous variables affecting their outcome. Vehicle energy and emissions are particularly sensitive to changes in vehicle state variables such as speed and acceleration, ambient conditions such as temperature, and driver control inputs such as acceleration pedal position and gear shift speeds, among others. Recent empirical studies have produced large amounts of data concerning vehicle fuel consumption and emissions rates and offer a wealth of information to transportation planners. Unfortunately, unless simple relationships are found between fuel consumption and vehicle emission metrics, their application in microscopic traffic and macroscopic planning models becomes prohibitive computationally. This thesis describes the development of microscopic energy and emission models using nonlinear multiple regression and neural network techniques to approximate vehicle fuel consumption and emissions field data. The energy and emission models described in this thesis utilized data collected by the Oak Ridge National Laboratory. The data include microscopic fuel consumption and emission measurements (CO, HC, and NOx) for eight light duty vehicles as a function of vehicle speed and acceleration. The thesis describes modeling processes and the tradeoffs between model accuracy and computational efficiency. Model verification results are included for two vehicle driving cycles. The models presented estimate vehicle fuel consumption within 2.5% of their actual measured values. Vehicle emissions errors fall in the range of 3-33% with correlation coefficients ranging between 0.94 and 0.99. Future transportation planning studies could also make use of the modeling approaches presented in the thesis. The models developed in this study have been incorporated into a microscopic traffic simulation tool called INTEGRATION to further demonstrate their application and relevance to traffic engineering studies. Two sample Intelligent Transportation Systems (ITS) application results are included. In the case studies, it was found that vehicle fuel consumption and emissions are more sensitive to the level of vehicle acceleration than to the vehicle speed. Also, the study shows signalization techniques can reduce fuel consumption and emissions significantly, while incident management techniques do not affect the energy and emissions rates notably.
Master of Science
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Burzlaff, Marcus. "Aircraft Fuel Consumption - Estimation and Visualization." Aircraft Design and Systems Group (AERO), Department of Automotive and Aeronautical Engineering, Hamburg University of Applied Sciences, 2017. http://d-nb.info/1148997490.

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In order to uncover the best kept secret in today's commercial aviation, this project deals with the calculation of fuel consumption of aircraft. With only the reference of the aircraft manufacturer's information, given within the airport planning documents, a method is established that allows computing values for the fuel consumption of every aircraft in question. The aircraft's fuel consumption per passenger and 100 flown kilometers decreases rapidly with range, until a near constant level is reached around the aircraft's average range. At longer range, where payload reduction becomes necessary, fuel consumption increases significantly. Numerical results are visualized, explained, and discussed. With regard to today's increasing number of long-haul flights, the results are investigated in terms of efficiency and viability. The environmental impact of burning fuel is not considered in this report. The presented method allows calculating aircraft type specific fuel consumption based on publicly available information. In this way, the fuel consumption of every aircraft can be investigated and can be discussed openly.
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Ivan, Jean-Paul. "Principal Component Modelling of Fuel Consumption ofSeagoing Vessels and Optimising Fuel Consumption as a Mixed-Integer Problem." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-51847.

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The fuel consumption of a seagoing vessel is, through a combination of Box-Cox transforms and principal component analysis, reduced to a univariatefunction of the primary principle component with mean model error −3.2%and error standard deviation 10.3%. In the process, a Latin-hypercube-inspired space partitioning sampling technique is developed and successfully used to produce a representative sampleused in determining the regression coefficients. Finally, a formal optimisation problem for minimising the fuel use is described. The problem is derived from a parametrised expression for the fuel consumption, and has only 3, or 2 if simplified, free variables at each timestep. Some information has been redacted in order to comply with NDA restrictions. Most redactions are either names (of vessels or otherwise), units, andin some cases (especially on figures) quantities.

Presentation was performed remotely using Zoom.

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Adenfelt, Elin. "What happens when we have no more crude oil?" Thesis, Konstfack, Industridesign, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:konstfack:diva-866.

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Salih, Fawzi Mohamed. "Automotive fuel economy measures and fuel usage in Sudan." Thesis, University of Leeds, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293763.

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Söderstedt, Fredrik. "Fuel Consumption Estimation for Vehicle Configuration Optimization." Thesis, Linköpings universitet, Fordonssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112259.

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Fuel consumption is one of the factors that are considered when deciding a vehicle’s optimal specification. In order to swiftly estimate the fuel consumed during real world driving scenarios, a simulation tool has been developed that is well suited for vehicle configuration exploration applications. The simulation method described in this paper differs from the static calculation method currently in use at Scania cv since the dynamic translation of the vehicle is considered, yet the simulation time is kept low. By adopting a more dynamic approach, the estimation accuracy is increased and simulation of fuel saving technology, e.g. intelli- gent driver support system, is enabled. In this paper, the modeling and implementation process is described. Different approaches is discussed and the choices made during the development is presented. In order to achieve a low simulation time and obtain a good compatability with Scania’s current software application, some of the influencial factors have been omitted from the model or described using simple relations. The validation of the fuel consumption estimation indicates an accuracy within three percent for motorway driving. Utilizing the newly devised simulation tool, a look-ahead cruise controller has been implemented and simulated. Instead of continuously finding the optimal control signals during the driving scenario like most look-aheadcontrollers, a dynamic programming algorithm is used to find a fuel efficient speed profile for the entire route. The speed profile is used as the reference speed for a conventional cruise controller and comparison with another simulation tool indicates that this is a fast and accurate way to emulate a real look-ahead controller.
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Cheung, Wing Ho. "Neural network aided aviation fuel consumption modeling." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36998.

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This thesis deals with the potential application of neural network technology to aviation fuel consumption estimation. This is achieved by developing neural networks representative jet aircraft. Fuel consumption information obtained directly from the pilot's flight manual was trained by the neural network. The trained network was able to accurately and efficiently estimate fuel consumption of an aircraft for a given mission. Statistical analysis was conducted to test the reliability of this model for all segments of flight. Since the neural network model does not require any wind tunnel testing nor extensive aircraft analysis, compared to existing models used in aviation simulation programs, this model shows good potential. The design of the model is described in depth, and the MATLAB source code are included in appendices.
Master of Science
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Books on the topic "Fuel consumpion"

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Watson, R. L. Car fuel consumption: Its relationship to official list consumptions. Crowthorne, Berks: Transport and Road Research Laboratory, Vehicles Group, Vehicles and Environment Division, 1989.

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Watson, R. L. Car fuel consumption: Its relationship to official list consumptions. Crowthorne: Transport and Road Research Laboratory, 1989.

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Upadhyaya, P. K. Distribution and consumption of diesel oil in agriculture. Delhi, India: Mittal Publications, 1985.

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Hilgers, Michael, and Wilfried Achenbach. Fuel Consumption and Consumption Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60841-8.

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Hilgers, Michael. Fuel Consumption and Consumption Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66449-0.

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Great Britain. Department of Transport. Emissions, fuel consumption, alternative fuels and engines, vehicle technology. [London?]: [Department of Transport], 1996.

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Pelin, Eli Roberto. A substituição de derivados de petróleo na agricultura. São Paulo: Instituto de Pesquisas Econômicas, 1986.

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Washington (State). Dept. of Ecology. Water Quality Program., ed. Mobile fueling of on-road vehicles. Olympia, WA: The Program, 1999.

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Gardiner, P. F. Fuel consumption at roundabouts. Crowthorne, Berks: Transportand Road Research Laboratory, Traffic Engineering and Control Dept., Urban Networks Division, 1986.

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National Research Council (U.S.). Transportation Research Board. Meeting, ed. Energy demand analysis and alternative fuels. Washington, D.C: Transportation Research Board, National Research Council, 1986.

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Book chapters on the topic "Fuel consumpion"

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Elgowainy, Amgad, and Erika Sutherland. "Fuel Consumption." In Fuel Cells : Data, Facts and Figures, 30–36. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA., 2016. http://dx.doi.org/10.1002/9783527693924.ch04.

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Hilgers, Michael, and Wilfried Achenbach. "The Influence of the Driver on Fuel Consumption." In Fuel Consumption and Consumption Optimization, 41–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60841-8_5.

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Hilgers, Michael, and Wilfried Achenbach. "Fuel Consumption and Consumption Optimization on Conventional Trucks." In Fuel Consumption and Consumption Optimization, 1–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60841-8_1.

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Hilgers, Michael, and Wilfried Achenbach. "Vehicle Technology." In Fuel Consumption and Consumption Optimization, 9–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60841-8_3.

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Hilgers, Michael, and Wilfried Achenbach. "Maintenance of the Vehicle and Service Fluids." In Fuel Consumption and Consumption Optimization, 43–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60841-8_6.

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Hilgers, Michael, and Wilfried Achenbach. "Concluding Remarks on the Topic of Fuel Consumption." In Fuel Consumption and Consumption Optimization, 45–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60841-8_7.

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Hilgers, Michael, and Wilfried Achenbach. "Vehicle and Energy Loss." In Fuel Consumption and Consumption Optimization, 5–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60841-8_2.

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Hilgers, Michael, and Wilfried Achenbach. "Operating Conditions of the Vehicle." In Fuel Consumption and Consumption Optimization, 35–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60841-8_4.

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Hilgers, Michael. "Concluding Remarks on the Topic of Energy Consumption." In Fuel Consumption and Consumption Optimization, 59–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66449-0_7.

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Hilgers, Michael. "Fuel Consumption and Consumption Optimization." In Fuel Consumption and Consumption Optimization, 1–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66449-0_1.

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Conference papers on the topic "Fuel consumpion"

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Al-Qolbi, Muthmainnah, and Apif Miptahul Hajji. "Estimation of fuel consumpion and carbon dioxide (CO2) Emissions from backhoe loaders through equipment productivity levels." In PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE OF GREEN CIVIL AND ENVIRONMENTAL ENGINEERING (GCEE 2021). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0072607.

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Ramos-Paja, Carlos Andres, Giovanni Spagnuolo, Giovanni Petrone, Roberto Giral, and Alfonso Romero. "Fuel cell MPPT for fuel consumption optimization." In 2010 IEEE International Symposium on Circuits and Systems - ISCAS 2010. IEEE, 2010. http://dx.doi.org/10.1109/iscas.2010.5537201.

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Robert "Bobby" Grisso, Michael F. Kocher, and David H. Vaughan. "Predicting Tractor Fuel Consumption." In 2003, Las Vegas, NV July 27-30, 2003. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.13732.

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Matthews, Ronald D., Matt Hall, Joe Anthony, Terry Ullman, and Don Lewis. "The Texas Diesel Fuels Project, Part 2: Comparisons of Fuel Consumption and Emissions for a Fuel/Water Emulsion and Conventional Diesel Fuels." In SAE 2004 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2004. http://dx.doi.org/10.4271/2004-01-0087.

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Fang, Chenguang, Shaoxu Song, Zhiwei Chen, and Acan Gui. "Fine-Grained Fuel Consumption Prediction." In CIKM '19: The 28th ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3357384.3357836.

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Dias, Rogério C., Rodrigo Chaves, Paulo Alleo, and Renato C. Mastrobuono. "Fuel Consumption on Urban Buses." In SAE Brasil 2005 Congress and Exhibit. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2005. http://dx.doi.org/10.4271/2005-01-3995.

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Watson, Harry C., and David R. R. Gowdie. "The Systematic Evaluation of Twelve LP Gas Fuels for Emissions and Fuel Consumption." In CEC/SAE Spring Fuels & Lubricants Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-1867.

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de Jong, Arjen. "Novel Engine Cycle Enabling Partial Load Fuel Efficiency Beyond Full Load Conditions." In ASME 2019 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/icef2019-7172.

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Abstract Fuel consumption reduction and emission reductions in internal combustion engines (ICE) is a hot topic nowadays. An adaption of cylinder de-activation technique called ECONAMIQ over-expansion can be applied to engines to improve fuel efficiency. Using the pressure from the exhaust gas from the active cylinders, the ‘idle’ cylinders could be expanded to extract more work out of the engine during partial load operation. Using the virtual simulation environment GT-Power, this cycle is applied to a 4-cylinder SI engine. This engine model is simulated for a part load operation point and compared with a standard 4-cylinder engine model and 4-cylinder engine model equipped with cylinder de-activation. From these simulations various variables for engine operation (valve timing etc.) are optimized to further reduce fuel consumption of the engine. A final brake specific fuel consumption reduction of over 10% is achieved using the overexpansion cycle, while improving engine performance on two burning cylinders over 10% as well. With this improvement it is shown that the over-expansion cycle has a significant benefit compared to a standard ICE and cylinder de-activation techniques. These simulations are being validated on an engine test dyno using a natural aspirated ICE.
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Cebotari, Livia. "Ukraine Crisis: The Trigger for the EU to Cut Its Dependence on Russian Fossil Fuels." In New Trends in Sustainable Business and Consumption. Editura ASE, 2022. http://dx.doi.org/10.24818/basiq/2022/08/097.

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Shaw, Samuel, Yunfei Hou, Weida Zhong, Qingquan Sun, Tong Guan, and Lu Su. "Instantaneous Fuel Consumption Estimation Using Smartphones." In 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE, 2019. http://dx.doi.org/10.1109/vtcfall.2019.8891261.

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Reports on the topic "Fuel consumpion"

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Sluder, C. Scott, Martin L. Wissink, and David E. Smith. Gasoline Engine and Fuels Offering Reduced fuel Consumption and Emissions (GEFORCE). Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1484116.

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Gross, R. Standby Diesel Generator Fuel Consumption Calculation. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1466196.

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Hanna, H. Mark, and Dana D. Schweitzer. Diesel Fuel Consumption During Field Operations. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/farmprogressreports-180814-1190.

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Hanna, H. Mark, and Dana Schweitzer. Diesel Fuel Consumption during Field Operations. Ames: Iowa State University, Digital Repository, 2015. http://dx.doi.org/10.31274/farmprogressreports-180814-2522.

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Hanna, H. Mark, and Dana Schweitzer. Diesel Fuel Consumption during Field Operations. Ames: Iowa State University, Digital Repository, 2015. http://dx.doi.org/10.31274/farmprogressreports-180814-385.

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Hanna, H. Mark, and Dana D. Schweitzer. Diesel Fuel Consumption During Field Operations. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/farmprogressreports-180814-668.

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Hanna, H. Mark, and Dana D. Schweitzer. Diesel Fuel Consumption During Chisel Plowing. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/farmprogressreports-180814-82.

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Hanna, H. Mark, and Dana Schweitzer. Diesel Fuel Consumption during Field Operations. Ames: Iowa State University, Digital Repository, 2015. http://dx.doi.org/10.31274/farmprogressreports-180814-916.

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Hanna, H. Mark, and Dana Schweitzer. Diesel Fuel Consumption during Tractor Operations. Ames: Iowa State University, Digital Repository, 2015. http://dx.doi.org/10.31274/farmprogressreports-180814-990.

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Sluder, C., Nolan Perry, and David Smith. Gasoline Engine and Fuels Offering Reduced Fuel Consumption and Emissions: Vehicle Modeling Final Report. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1649403.

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