• Journal of Information Processing Systems
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• 제13권2호
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• pp.285-304
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• 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.

• 한국항공운항학회지
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• 제22권4호
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• pp.25-33
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• 2014

As global warming becoming an environmentally serious issue, more attention is drawn to fuel consumption which is the direct source of green house gas emission. The fuel consumption by aircraft operation is not an exception. Motivated by the societal and environmental context, this paper explains a method for estimation of aircraft fuel consumed during their flights as well as the computational process using real flight track data. Applying so-called 'Total Energy Model' along with aircraft specific parameters provided in EUROCONTROL's Base of Aircraft Data (BADA) to aircraft radar track data, we estimate fuel consumption of individual aircraft flown between Gimpo and Jeju airports. We then assess the estimation accuracy by comparing the estimated fuel consumption with the actual one collected from an airline. The computational results are quite encouraging in that the method is able to estimate the actual fuel consumption within ${\pm}6{\sim}11%$ of error margin. The limitations and possible enhancements of the method are also discussed.

• 한국항공운항학회지
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• 제30권2호
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• pp.24-33
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• 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.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2008년도 하계학술발표대회 논문집
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• pp.1243-1248
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• 2008

$CO_2$ emission amount and characteristics of combined heat and power (CHP) plant in industrial complex of Korea is evaluated by using the fuel analysis method. Fuel analysis methods of several foreign countries and developed one which is developed considering the operation characteristics of the surveyed CHP plants are used. The operation data is surveyed for all of the CHP plants in industrial complex and is composed of fuel consumption amount, generation, sale and efficiency of heat and electricity, condensed steam enthalpy, and etc of the each CHP.

• 융복합기술연구소 논문집
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• 제3권2호
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• pp.57-60
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• 2013

The purpose of this study is to analysis of how to calculate fuel efficiency in major development countries (U.S. and Europe) and energy consumption formular derivation of domestic CNG fuel and prove by vehicle test. The formula of fuel consumption is different in mpg(mile per gallon), l/100km, and km/l each countries. CNG fuel has a significant impact on fuel density, composition, and Hydro-Carbon ratio. So, this study how to measurement and calculation procedures of CNG gaseous fueled vehicle energy consumption rate.

• 한국항해항만학회지
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• 제43권6호
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• pp.335-343
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• 2019

최근 선박의 배기가스 규제가 강화되면서 연료소비량을 저감하기 위한 많은 방안들이 검토되고 있다. 그중에서도 선박으로부터 수집한 데이터를 활용하여 연료소모량을 예측하는 기계학습 모델을 개발하고자 하는 연구가 활발히 수행되고 있다. 하지만 많은 연구들이 학습모델의 주요 변수 선정이나 수집데이터의 처리 방법에 대한 고려가 미흡하였으며, 무분별한 데이터의 활용은 변수 간의 다중공선성 문제를 야기할 수도 있다. 본 연구에서는 이러한 문제점을 해결하기 위하여 주성분 분석을 이용하여 선박의 연료소비를 예측하는 방법을 제시하였다. 13K TEU 컨테이너 선박의 운항데이터에 주성분 분석을 수행하였으며, 추출한 주성분으로 회귀분석을 수행하여 연료소비 예측모델을 구현하였다. 평가용 데이터에 대한 모델의 설명력은 82.99%이었으며, 이러한 예측모델은 항해 계획 수립 시 운항자의 의사결정을 지원하고 항해 중 에너지 효율적인 운항상태 모니터링에 기여할 수 있을 것으로 기대된다.

• 전자공학회논문지SC
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• 제48권2호
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• pp.9-14
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• 2011

본 논문에서는 차량 OBD-II 인터페이스를 통해 쉽게 확보할 수 있는 차량 정보로부터 차량의 연료 소모량을 예측하는 방법을 제안하고자 하였다. 이를 위해 차량으로부터 제공되는 RPM, TPS 값이 연료 소모량과 상관관계가 있다고 가정하고, 차량 RPM, TPS를 입력으로 하며, 연료 소모량을 출력으로 하는 다항식 함수 관계를 모델링하였다. 차량 OBD-II 인터페이스를 이용하여 획득한 RPM, TPS 값과 차량관련 전문업체로부터 지원받은 연료 소모량 값의 상관관계를 2차 함수로 구성하였다. 본 논문에서는 제안한 방식의 유용성을 확인하기 위해 도심 도로 5Km를 실제 주행테스트를 수행하였고, 제안한 차량 데이터를 이용한 연료 소모량 예측 알고리즘의 성능이 우수함을 확인하였다.

• 한국해양공학회지
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• 제37권5호
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• pp.181-189
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• 2023

The fuel consumption of marine diesel engines holds paramount importance in contemporary maritime transportation and shapes energy efficiency strategies of ocean-going vessels. Nonetheless, a noticeable gap in knowledge prevails concerning the influence of ship hull conditions and propeller roughness on fuel consumption. This study bridges this gap by utilizing artificial intelligence techniques in Matlab, particularly convolutional neural networks (CNNs) to comprehensively investigate these factors. We propose a time-series prediction model that was built on numerical simulations and aimed at forecasting ship hull and propeller conditions. The model's accuracy was validated through a meticulous comparison of predictions with actual ship-hull and propeller conditions. Furthermore, we executed a comparative analysis juxtaposing predictive outcomes with navigational environmental factors encompassing wind speed, wave height, and ship loading conditions by the fuzzy clustering method. This research's significance lies in its pivotal role as a foundation for fostering a more intricate understanding of energy consumption within the realm of maritime transport.

• 동력기계공학회지
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• 제21권6호
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• pp.46-55
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• 2017

Due to the arise of natural disasters caused by global warming, consumers have more interest in the fuel efficiency of their vehicles, and fuel efficiency became an important factor in comparing vehicles. In this market situation, methods to measure fuel efficiency has become one of the main interests of vehicle related organizations and laboratories, and the current method to measure fuel efficiency is to follow the notification established by the ministry of trade, industry and energy, ministry of environment, and the ministry of land, infrastructure and transport. In this study, we analyze the influence of vehicle fuel efficiency according to test temperature and cooling fan condition which have the possibility to cause difference in fuel efficiency. The analysis results of the influence of the fuel efficiency according to the test temperature, the difference of the fuel efficiency of the test temperature ($21{\sim}29^{\circ}C$) within the allowable range of the notification showed a maximum difference of 2.9%. Therefore, it is necessary to consider the introduction of a test method that permits only the temperature change based on the reference point as the allowable range even in the test within the allowable range. The analysis of the influence of the fuel efficiency according to the cooling method showed no significant effect, and it seems reasonable to maintain the test method of the current notification.

• 설비공학논문집
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• 제3권5호
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• pp.404-414
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• 1991

The purpose of this study is to compare the amount of heating, domestic hot water, and cooking fuel consumption with that of heating fuel consumption by the existing calculation method and to provide rational heating system design and energy conservation through presenting the simplified equation which can anticipate the amount of heating, domestic hot water, and cooking and the load mechanical equipments. The affecting factors to the amount of energy consumption are the case of Heating, Domestic Hot Water and Cooking in addition to the energy conservation intention.