• Title/Summary/Keyword: Fuel Consumption

Search Result 1,626, Processing Time 0.024 seconds

A Study on the Fuel Saving Method through the Analysis of Fuel Consumption on Domestic Flight - Based on the Fuel Consumption of B737 Aircraft - (국내선 항공기 연료소모량 분석을 통한 연료절감 방안연구 - B737 항공기 연료소모량을 중심으로 -)

  • Choi, Jihun;Lee, Kyung-Han;Kim, Yong-og;Kim, Woong-Yi
    • Journal of the Korean Society for Aviation and Aeronautics
    • /
    • v.30 no.2
    • /
    • pp.24-33
    • /
    • 2022
  • This study analyzed and derived a plan to reduce fuel consumption of domestic aircraft. Specifically, this study tested fuel consumption in the short-distance flights of B737. Fuel consumption was calculated by substituting the simulation variable values into Matlab. The strength of this study is that the actual operating environment was reflected by collecting the B737 flight data. As a result of the study, the domestic fuel consumption rate in the computed flight plan was less than the current fuel consumption rate. Existing limitations of this study is that it was difficult to reflect the various variables constituting the flight environment, and thus there can be errors in the measurement of the fuel consumption. There are two major expected applications from this study. First, applying the plans from this study will lead to a reduction in the amount of fuel and thus provide positive economic effects for commercial airlines. Second, the plan from this study will provide a basis for pilots to predict fuel consumption more accurately. In conclusion, this study proposes a fuel saving plan with useful applications for pilots and airlines.

DTG Big Data Analysis for Fuel Consumption Estimation

  • Cho, Wonhee;Choi, Eunmi
    • Journal of Information Processing Systems
    • /
    • v.13 no.2
    • /
    • pp.285-304
    • /
    • 2017
  • Big data information and pattern analysis have applications in many industrial sectors. To reduce energy consumption effectively, the eco-driving method that reduces the fuel consumption of vehicles has recently come under scrutiny. Using big data on commercial vehicles obtained from digital tachographs (DTGs), it is possible not only to aid traffic safety but also improve eco-driving. In this study, we estimate fuel consumption efficiency by processing and analyzing DTG big data for commercial vehicles using parallel processing with the MapReduce mechanism. Compared to the conventional measurement of fuel consumption using the On-Board Diagnostics II (OBD-II) device, in this paper, we use actual DTG data and OBD-II fuel consumption data to identify meaningful relationships to calculate fuel efficiency rates. Based on the driving pattern extracted from DTG data, estimating fuel consumption is possible by analyzing driving patterns obtained only from DTG big data.

Prediction of Vehicle Fuel Consumption on a Component Basis (가솔린 차량의 각 요소별 연료소모량 예측)

  • 송해박;유정철;이종화;박경석
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.11 no.2
    • /
    • pp.203-210
    • /
    • 2003
  • A simulation study was carried to analyze the vehicle fuel consumption on component basis. Experiments was also carried out to identify the simulation results, under FTP-75 Hot Phase driving conditions. and arbitrary driving conditions. A good quantitative agreement was obtained. Based on the simulation, fuel energy was used in pumping loss(3.7%), electric power generation(0.7%), engine friction(12.7%), engine inertia(0.7%), torque converter loss(4.6%), drivetrain friction(0.6%), road-load(9.2%), and vehicle inertia(13.4%) under FTP-75 Hot Phase driving conditions. Using simulation program, the effects of capacity factor and idle speed on fuel consumption were estimated. A increment of capacity factor of torque converter resulted in fuel consumption improvement under FTP-75 Hot Phase driving conditions. Effect of a decrement of idle speed on fuel consumption was negligible under the identical driving conditions.

Development of Fuel Economy Measurement Method for Hydrogen Fuel Cell Vehicles (수소연료전지자동차 연료소비율 측정방법에 대한 연구)

  • Lim, Jong-Soon;Choi, Young-Tae;Yong, Gee-Joong;Kwon, Hae-Boung;Lee, Hyun-Woo;Maeng, Jeong-Yoel
    • 한국신재생에너지학회:학술대회논문집
    • /
    • 2009.06a
    • /
    • pp.636-639
    • /
    • 2009
  • Fuel consumption measurement of Hydrogen fuel cell vehicle is considerably different form internal combustion engine vehicle such as carbon balance method. A practical method of fuel Consumption measurement has been developed for Hydrogen fuel cell vehicles. There are three method of hydrogen fuel consumption testing, gravimetric, PVT(Pressure, Volume and temperature), and Coriolis mass flow, all of which necessitate physical measurements of the fuel supply. The purpose of this research is to measure the fuel consumption of hydrogen fuel cell vehicles on chassis-dynamometer and to give information when the research is intended to develop method to measure hydrogen fuel consumption.

  • PDF

A Study on Estimating Method of Vehicle Fuel Consumption Using GPS Data (GPS 데이터를 이용한 차량의 연료소모량 연산법 연구)

  • Ko, Kwang-Ho
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.23 no.6_2
    • /
    • pp.949-956
    • /
    • 2020
  • It's important to measure fuel consumption of vehicles. It's possible to monitor green house gas from vehicles for various traffic conditions with the measured data. It's effective to eco-drive for drivers with fuel consumption data also. There's a display of fuel consumption in the modern vehicles, but it's not useful to get the data from the display. An estimating method for fuel consumption of a vehicle is suggested in the study. It's a simple but an effective method using GPS data. The GPS data(speed, acceleration, road slope) and vehicle data(weight, frontal area, model year, certified fuel economy) is necessary to estimate the fuel consumption for the method. It calculates driving resistance force to estimate engine power. Then it estimates the necessary fuel consumption to maintain the engine power with fuel-power conversion factor. The conversion factor is corrected with certified fuel economy, model year and rated power. The precision of the methods is checked with road test data. The test driving data was measured with GPS and OBD. The error of the estimated fuel consumption for the measured one is about 1.8%. But the error is large for the 1000 and 100 data number from the total data number of about 10,000. The error is from the larger change range of the GPS data than the one of the measured fuel consumption data. But the proposed estimating method is useful to percept the fuel consumption change for better fuel economy with simple gadget like smart phone or other GPS instruments.

Effect of Road Gradient on Fuel Consumption of Passenger Car (도로의 경사가 승용차 유류소모량에 미치는 영향)

  • Do, Myungsik;Choi, Seunghyun
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.13 no.4
    • /
    • pp.48-56
    • /
    • 2014
  • Even though vehicle types, gradient, pavement conditions and types of pavement should be considered for estimating fuel consumption, existing models were developed as a function of vehicle types and vehicle speed. Therefore in this study, the model of fuel consumption was developed using field test data in order that effect analysis on the passenger vehicle fuel consumption by road gradient. At first, fuel consumption was measured in second-based, using GPS device and fuel consumption measurement device for development of fuel consumption model considered road gradient. The road gradient was classified as flatland, up-hill and down-hill. Development of model was using by regression model which vehicle speed(km/h) and fuel consumption(${\ell}/km$). The on-road test proved that fuel consumption of passenger vehicle is affected by road gradient.

A Study on Reduction of Fuel Consumption by Displaying Fuel Injection Data for Drivers (연료분사정보 표시장치를 통한 자동차 연비향상 효과에 대한 실험적 연구)

  • Ko, Kwang-Ho
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.18 no.4
    • /
    • pp.115-120
    • /
    • 2010
  • The reduction rate of fuel consumption by showing the fuel injection data for driver was measured in this study. The fuel injection data are composed of injection period, real time fuel economy and average fuel economy. The fuel consumption was measured by processing the voltage signal of injector and driven distance by GPS sensor. The fuel consumption was reduced by driving more carefully, i.e driving more steady without sudden acceleration and deceleration watching these fuel injection data. The reduction rate was up to 37% and the rate increased as the driver is customed to this driving pattern.

Estimation of Fuel Consumption using Vehicle Diagnosis Data (차량 진단 정보를 이용한 연료 소모량 추정)

  • Park, Chong-Ryol;Jung, Kyung-Kwon;Eom, Ki-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.15 no.12
    • /
    • pp.2582-2589
    • /
    • 2011
  • This Paper proposed the prediction method of fuel consumption from vehicle diagnosis informations through OBD-II Interface. We assumed mass air flow (MAF), shor-term fuel trim (STFT), and long-term fuel trim (LTFT) had a relationship with fuel consumption. We got the output as fuel-consumption from MAF, STFT, and LTFT as input variables. We had modelling as combustion reaction equation with OBD-II data and fuel consumption data supported by automotive company in real. In order to verify the effectiveness of proposed method, 5 km real road-test was performed. The results showed that the proposed method can estimate precisely the fuel consumption from vehicle data.

An Experimental Study on Breakdown of Fuel Consumption on a Component Basis in a Gasoline Engine Vehicle (가솔린 차량의 각 요소별 연료소모량 분석을 위한 실험적 연구)

  • 유정철;송해박;이종화;유재석;박영무;박경석
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.12 no.1
    • /
    • pp.153-161
    • /
    • 2004
  • A vehicle fuel economy is one of the most important issues in view of environmental regulation and customer's needs. In order to improve the vehicle fuel economy, great efforts has been carried out on the components bases. However, systematic analysis of vehicle fuel consumption is necessary for the further improvement of vehicle fuel economy. In this paper, a methodology for the breakdown of vehicle fuel consumption was studied and proposed for systematic analysis of the vehicle fuel economy. The energy equation for the vehicle power train was set up for the analysis of the vehicle fuel economy and simplified to be calculated or estimated using the measured data in a vehicle. The amount of fuel that was used in vehicle components under arbitrary driving conditions was quantified.

The Change Rate of Fuel Consumption for Different IRI of Paved Roads (포장도로의 거칠기 변화에 대한 차량 연료소모량 변화율)

  • Ko, Kwang-H.
    • International Journal of Highway Engineering
    • /
    • v.12 no.1
    • /
    • pp.55-59
    • /
    • 2010
  • High VOC(Vehicle Operating Cost) is the main reason for the rehabilitation of paved road and VOC is composed of fuel consumption, lubricant oil consumption, parts consumption, etc. Fuel consumption is one of the largest components of VOC and the roughness of road represents the deterioration level of the road. For these reasons, the fuel consumption is measured for different IRI(International Roughness Index) in this study. The fuel consumption was measured by processing the voltage signal of fuel injector of vehicle and the speed was measured with GPS. The change rate of fuel consumption for different IRI can be calculated with the results of this test. It's concluded that fuel consumption(L/100km) of medium and large passenger car increases 7 times fast of the increase of IRI(m/km) around 3.5m/km in the speed range of 40 ~ 100km/h, and fuel consumption is the best at 60km/h.