• Title/Summary/Keyword: 연료 소모량 예측

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An economic ship routing system based on a weather forecasting and a sailing cost prediction (기상예보와 운항비용예측 기반의 선박경제운항시스템)

  • Jang, Ho-Seop;Kwon, Yung-Keun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.1064-1067
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    • 2011
  • 선박경제운항이란 파도와 바람과 같은 해양 기상정보 예측을 바탕으로 선박의 운항방법에 따른 연료 소모량과 운항시간을 예상해보고, 가장 경제적인 운항을 하는 것을 말한다. 본 논문에서는 실용화할 수 있는 범용의 경제운항시스템 개발에 중점을 두었다. 기존의 시스템들을 살펴보면 임의의 정해진 경로를 대상으로 실험하는 경우가 많은데, 이를 개선하여 임의의 출발점과 도착점이 주어지면 A*알고리즘을 통해서 지리상 최단경로를 찾아내도록 하여 시스템을 자동화하였으며 적용범위를 세계 전역으로 확대 하였다. 그리고 기존의 엔진출력을 고정하거나 속력을 일정하게 운항한다는 가정에서 벗어나서 엔진출력을 탐색하여 보다 효율적인 운항 솔루션을 찾아내도록 하였다. 그리고 사용측면에서는 운항사들에게 보다 효용성 높은 시스템이 되기 위해서, 일방적인 권고보다는 연료소모량과 운항시간 별로 다양한 솔루션들을 제공하여 운항사의 판단을 존중함과 동시에 운항보조시스템으로서의 역할에 충실할 수 있도록 하였다.

Estimation of Domestic Aircraft Fuel Consumption and Improved Accuracy (국내선 항공기 연료소모량 추정및 정확도 향상)

  • HyeJin Hong;JiHun Choi;SungKwan Ku
    • Journal of Advanced Navigation Technology
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    • v.27 no.5
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    • pp.649-657
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    • 2023
  • ICAO adopted the Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA) at the 39th General Assembly in 2016, and 115 countries, including South Korea, expressed their intention to participate in CORSIA as of January 1, 2023. Since carbon generated in the aviation industry is mainly caused by greenhouse gases emitted from aircraft engines, fuel consumption must be reduced to reduce carbon emissions. Prior research, such as simulation, is essential to predict the effectiveness of each plan and to make decisions about its implementation. High-quality data is needed to derive accurate results, but it has been difficult to secure actual fuel consumption data, as they are considered to be classified airline data. Therefore, in this paper, after establishing a model that estimates fuel consumption based on actual fuel consumption data, the model is to be advanced to improve its accuracy.

A Case Study of Aircraft Taxi Fuel Consumption Prediction Model (A380 Case) (항공기 지상 활주 연료소모량 예측모델 사례연구 (A380 중심))

  • Jang, Sungwoo;Lee, Youngjae;Yoo, Kwang Eui
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.28 no.2
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    • pp.29-35
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    • 2020
  • In this paper, we established a prediction model of fuel consumption at the aircraft's taxi operation. To look for countermeasures to reduce fuel consumption and carbon emissions, Airbus A380's actual ground taxi data was used. As a result, the number of stops or turnings during the taxi operation was not related to fuel consumption. It was confirmed that the amount of fuel consumption in the taxi operation was the taxi time and the thrust change. It can be confirmed that ground control optimization, which is the result of close cooperation between the control organization and the airline, is absolutely necessary to reduce taxi time and minimize the occurrence of thrust change events.

A Development of Simple Fuel Consumption Estimation and Optimized Route Recommendation System based on Voyage Data of Vessel (항차 데이터 기반 간이 연료 소모량 추정 및 최적 경유 항구 추천 시스템 개발)

  • Woo, Snag-Min;Hwang, Hun-Gyu;Kim, Bae-Sung;Woo, Yun-Tae;Lee, Jang-Se
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.3
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    • pp.480-490
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    • 2018
  • Recently, The MRV (monitoring, reporting and verification) regulation, which measures, reports and verifies the emission gas of vessel to head for member countries of Europe Union (EU), is being implemented. As part this reason, we develop a system that estimates simple fuel consumption and recommends optimized stop-over ports of vessel, to calculate amount of carbon emission. To do this, we analyze fuel, distance and time consumption between port and the other port based on stored voyage data for over 10 years of real-ship, and implement a simple fuel consumption estimation module using analyzed result. Also, we design and implement the optimized route recommendation algorithm, existing navigation route display function including comparison with the optimized routes and user custom route plan function. Therefore, we expect the developed system is helpful when makes a navigation route and so on by reference indexes and we anticipate the system to have a sense for future research which learns and predicts for accuracy result.

Fundamental design consideration for optimum performance in altitude test cell facility (고공시험설비의 전체 사양을 결정하는 시험부를 중심으로 설비개발시의 주요 고려사항)

  • Choi, Kyoung-Ho;Lee, Jung-Hyung;Owino, George;Lee, Dae-Soo
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.11a
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    • pp.411-415
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    • 2008
  • This paper presents on design factor considered in an altitude test cell facility to determine the best sizing to optimize exhaust diffuser pressure recovery and the exact cooling load required to be supplied under transient operation. Engine simulation was performed to analyse the exhaust gas temperature, exit mass flow rate, specific fuel consumption and exhaust velocity helpful in determining secondary mass air flow and the mixed air temperature entering the ejector. based on this, the amount of cooling load was deduced. It was found that improved pressure recovery reduces operational cost(air supply facility, cooling water).

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A Study on Engine Oil Consumption (엔진 오일 소모에 관한 연구)

  • Chun, Sang-Myung
    • Tribology and Lubricants
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    • v.21 no.6
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    • pp.296-301
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    • 2005
  • 피스톤-실린더-링 틈새를 통해 일어나는 오일소모와 브로바이가스 증가는 최소화되어야 하며, 한편으로는 연료저감 및 성능증가 개선 측면에서 피스톤 링 팩의 마찰 손실도 줄일 필요가 있다. 이러한 두 가지 측면에서, 피스톤 링 팩의 최적 설계에 대한 연구가 수행되어야 한다. 따라서 오일소모 및 브로바이가스의 앙은 엔진개발과정 및 필드에서의 엔진운전 중에 엔진의 상태가 좋은지 나쁜지를 판단하는 중요한 요인이 된다. 본 연구의 목적은 연소실 내로의 오일 흐름 량과 피스톤 링 팩을 지나 아래로 내려가는 가스흐름을 계산하여 엔진오일 소모 및 브로바이가스를 예측하는 컴퓨터 프로그램을 개발하는 것이다. 향 후 본 프로그램을 이용하여 엔진의 상태를 미리 예측할 수 있을 것으로 본다.

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
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    • v.11 no.2
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    • pp.203-210
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    • 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.

실해역 운항 데이터를 활용한 최적항로 지원 시스템의 효과 검증

  • Jeong, Se-Yong;An, Gyeong-Su;Yang, Jin-Ho;Jo, Chun-Je
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2015.10a
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    • pp.66-68
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    • 2015
  • 최적항로 지원 시스템은 실해역 속도 성능 예측방법에서의 선택 근거확보와 정확도 평가를 위한 효과 검증이 반드시 필요하다. 하지만 이 같은 성능검증에 있어서 동일한 선박에 대한 다양한 대안 항로에서의 동시성능계측이 불가능하기 때문에 효과를 직접 비교하기는 상당히 어렵다. 따라서 본 논문에서는 최적항로 지원 시스템의 효과 검증을 위한 간접적인 절차를 제안하였고, 시스템의 내부 분석코드를 이용하여 효과를 비교 검증하였다. 그 절차는 1) 계산의 근거 인기상 정보의 정확성 검증, 2) 실제 항로에서의 성능예측계산의 신뢰성 확인, 3) 신뢰성이 확보된 계산방법을 이용한 최적항로선택, 4) 실제 항로와 최적항로의 연료 효율성 비교의 4단계로 이루어진다. 대상 선박은 폴라리스쉬핑의 솔라돌핀호(208k BC)이며 실선 운항 데이터는 최적항로 지원 시스템을 통하여 직접 계측하였다. 그 결과 호주-한국 항차에서 최적항로를 항해할 경우 약 6.0%의 연료 절감 효과를 기대할 수 있음을 확인하였다.

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Economic Ship Routing System by a Path Search Algorithm Based on an Evolutionary Strategy (진화전략 기반 경로탐색 알고리즘을 활용한 선박경제운항시스템)

  • Bang, Se-Hwan;Kwon, Yung-Keun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.9
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    • pp.767-773
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    • 2014
  • An economic ship routing means to sail a ship with a goal of minimizing the fuel consumption by utilizing weather forecast information, and there have been various systems which have been recently studied. For a successful economic ship routing system, it is needed to properly control an engine power or change a geographical path considering weather forecast. An optimal geographical path is difficult to be determined, though, because it is a minimal dynamic-cost path search problem where the actual fuel consumption is dynamically variable by the weather condition when the ship will pass the area. In this paper, we propose an geographical path-search algorithm based on evolutionary strategy to efficiently search a good quality solution out of tremendous candidate solutions. We tested our approach with the shortest path-based sailing method over seven testing routes and observed that the former reduced the estimated fuel consumption than the latter by 1.82% on average and the maximum 2.49% with little difference of estimated time of arrival. In particular, we observed that our method can find a path to avoid bad weather through a case analysis.

An Economic Ship Routing System by Optimizing Outputs of Engine-Power based on an Evolutionary Strategy (전화전략기반 엔진출력 최적화를 통한 선박경제운항시스템)

  • Jang, Ho-Seop;Kwon, Yung-Keun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.4B
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    • pp.412-421
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    • 2011
  • An economic ship routing means to sail a ship with a goal of minimizing the fuel consumption by utilizing weather forecast information, and many such systems have been recently developed. Most of them assume that sailing is carried out with a constraint like a fixed output of engine-power or a fixed sailing speed. However, if the output of engine-power is controlled, it is possible to reduce the fuel consumption by sailing a ship under a relatively good weather condition. In this paper, we propose a novel economic ship routing system which can search optimal outputs of the engine-power for each part of a path by employing an evolutionary strategy. In addition, we develope an $A^*$ algorithm to find the shortest path and a method to enhance the degree of curve representation. These make the proposed system applicable to an arbitrary pair of departure and destination points. We compared our proposed system with another existing system not controlling output of the engine-power over 36 scenarios in total, and observed that the former reduced the estimated fuel consumption than the latter by 1.3% on average and the maximum 5.6% with little difference of estimated time of arrival.