• Title/Summary/Keyword: Cruising Pattern

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A Study on the Survey of the Cruising Pattern of Ferry & Cruise Ship in the Inland Water (내수면 유·도선의 운항 패턴 조사에 관한 연구)

  • Kim, Pil Su;Son, Ji Hwan;Kim, Joung Hwa;Kim, Jeong Soo;Park, Geon Jin;Lee, Heon Ju;Woo, Ju Hyeong
    • Journal of Climate Change Research
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    • v.5 no.4
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    • pp.291-300
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    • 2014
  • In this study, we investigated the activity data and basic data of the surface of the water within the ship to be operated by lakes and rivers inland. In this study previously, there was no survey activity data of Ferry and Cruise ship in Korea. In order to ensure the basic data and development of measures to reduce efficiently by local governments, these studies should be performed. Therefore, in the present study was survey the activity data such as cruising time and engine load factor and the specifications of the vessels. As a result, by analyzing the cruising pattern according to the area and the purpose of the cruise, to calculate the emissions of greenhouse gases.

Nano-particles emission characteristics of GDI vehicles using Engine Exhaust Particle Sizer (Engine Exhaust Particle Sizer를 통한 GDI 자동차에서 발생하는 나노미세입자 배출특성 분석)

  • Jang, Jihwan;Lee, Jongtae;Kim, Kijoon;Kim, Jeongsoo;Park, Sungwook
    • 한국연소학회:학술대회논문집
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    • 2014.11a
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    • pp.95-96
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    • 2014
  • In this study, the nano-particle emitted from Gasoline Direct Injection(GDI) vehicles was measured using the Engine Exhaust Particle Sizer(EEPS) on a chassis dynamometer. In addition, driving mode were divided into cold start mode(CVS-75, NEDC) and hot start mode(NIER-6, NIER-9) to evaluated the characteristics in the various operating conditions. The Particle Number(PN) concentration was analyzed for various driving patterns, i.e., acceleration, deceleration, idling, cruising and the phases of mode. In a result, Total concentration of PN for size was concentrated from 50 to 100 nm and acceleration represents the highest concentration among the driving pattern. It is believed that the increases quantity of fuel, and mixture will be richer than other patterns.

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Simulations and Experiments for Dynamic Characteristics of LIM with the Consideration of Operating Pattern (운전패턴을 고려한 LIM의 동특성 시뮬레이션 및 시험)

  • Jang, S.M.;Jeong, Y.H.;Lee, H.G.;Park, Y.T.;Kim, B.S.
    • Proceedings of the KIEE Conference
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    • 1995.11a
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    • pp.52-54
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    • 1995
  • When LIM is drived by the general purpose inverter, there is no food-back of speed and thrust, etc. Therefore, through analysis of LIM by the simulation, the prediction of operating characteristics and patterns of LIM is necessary. But, the open-loop control system is used widely, because it can consist of simple and cheap. In this paper, we foaled with the dynamic characteristics of LIM drived by V/f constant during acceleration, cruising speed deceleration. And, we compared the simulation value with actual measurement value.

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Characteristics of gasoline consumption and CO emission in urban traffic (도심주행에 있어서 가솔린 자동차의 연료소비 및 오염물질 배출특성에 관한 연구)

  • 조강래
    • Journal of the korean Society of Automotive Engineers
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    • v.6 no.4
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    • pp.36-45
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    • 1984
  • The relationship between vehicle driving pattern and fuel consumption in urban area was studied in Seoul along three representative routes using a test car equipped with all the instruments required for recording modes of traffic and measuring fuel consumption. Correlation with idle speed, fuel consumption and CO concentration of car in use was also measured. The average vehicle speed in Seoul was 31.4 km/h and the time spent in different modes was 23.0% in idle mode, 22.5% in acceleration mode, 32.4% in cruising mode and 22.3% in deceleration mode, respectively. Hence, traffic flow was suggested to be relatively smooth. Fuel consumption per unit distance, .phi. was closely related with trip time spent per unit distance, t, and correlation coefficient obtained from the test car was 0.925, and the relationship between .phi. and t was also obtained from the linear regression with the following equation. .phi.=42.87+0.38 t. Idle speed of vehicle in use was mostly adjusted low and cars which were over the permissible standard of CO concentration (4.5%) were 50% or more. As the idle speed decreased, the fuel consumption was decreased, while the CO concentration was increased. Therefore, the decrease of fuel consumption can not be expected with only a decrease in idle speed.

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A Estimation Model of The Fuel Consumption Based on The Vehicle Speed Pattern (차량 속도패턴에 따른 연료소모량 관계식 산정)

  • Won, Min-Su;Gang, Gyeong-Pyo;Kim, Jeong-Wan
    • Journal of Korean Society of Transportation
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    • v.29 no.4
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    • pp.65-71
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    • 2011
  • It is practically hard to measure vehicle fuel consumption required to evaluate the energy-related governmental policies and traffic management strategies; the existing methods are too simplified due to the limited field data available. Existing methods are even unable to reflect the amount of fuel consumed when vehicles accelerate and decelerate, and such technical limitations have reduced the quality of the policy evaluation. This study proposes a new fuel consumption model that simultaneously considers the effects of both cruising speed and acceleration/deceleration of vehicles. A new fuel consumption model was developed based on the simulation data generated by AVL Cruise, a vehicle simulation program. The estimated by the proposed model was compared against the one from the existing method. Comparison results showed that the proposed model provided much reliable estimate (fuel consumption) than the other did.

Characteristics of Wind Speed and PM10 Concentration underneath Railway Trains (도시철도 차량 하부의 풍속 및 미세먼지 농도 특징)

  • Kim, Jong Bum;Woo, Sang Hee;Jang, Hong-Ryang;Chou, Jin-Won;Hwang, Moon Se;Park, Hyung-Koo;Yoon, Hwa Hyeon;Jung, Joon-Sig;Bae, Gwi-Nam
    • Journal of the Korean Society for Railway
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    • v.20 no.1
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    • pp.11-19
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    • 2017
  • Since operation of railway trains is a major source of particle pollution in tunnel air, a particle removal device can be an effective measure to remove wear particles. To obtain design conditions of the particle removal device that will be installed underneath the railway trains, the wind speed and particle concentration underneath the trains were investigated using a three-dimensional ultrasonic anemometer and a DustTrak aerosol monitor, respectively. The measurements were made for the trains running on Seoul Metropolitan Subway Line 5 on February 10, 2015. The data were analyzed according to the track geometry (straight, curved) and train speed pattern (acceleration, cruising, and deceleration) between stations. Train speed was also analyzed. The average wind speed and $PM_{10}$ concentration underneath the trains were ~30% of the train speed and ${\sim}200{\mu}g/m^3$ for both straight and curved sections. Average $PM_{10}$ concentration for deceleration sections was higher than that for acceleration sections.

The Distribution Characteristics of Floating Debris on the Cruising Routes from Cheju Island to Qindao Harbor in the Yellow Sea (한국 제주도와 중국 청도의 항로상에 부유하는 해양폐기물의 분포에 관한 연구)

  • Kim, Min-Suk;Kim, Jong-Hwa;Kim, Sam-Kon
    • Journal of Fisheries and Marine Sciences Education
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    • v.11 no.2
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    • pp.203-215
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    • 1999
  • Floating debris was recorded from a training ship, Kaya, of Pukyong National University with about 12 knots speed at July 19~21, 1999 and July 24~26. The sampled area is the Yellow Sea (YS) connected from Cheju Is. of Korea to Qindao harbor of China, divided into 88 unit segments on survey routes. Debris fabrication materials were categorized with 6 items using the following; man-made or natural wood items, paper and cardboard, nylon netting and rope, styrofoams, vinyl and plastics, floating metal and glass containers. All identified items within a $120{\pm}20m$ wide band were recorded but ignored if beyond this boundary. The results of distribution of floating debris in the area are as follows: 1. The greatest quantities of marine debris discovered during the survey were $184pieces\;per\;km^2$ near Qindao harbor. The next polluted areas, Sohuksan islands, positioned in the eastern part of YS were scattered in about $40pieces/km^2$ or so. 2. Among items, woods, paper and cardboard, vinyl and plastics were found out near Qindao Coast of China. On the other hand, there were many styrofoams, nylon netting and rope near the area of Sohuksan islands in the eastern part of YS. 3. The distribution densities of western part of YS near Qindao are varied with largely range in items and quantities but those of the eastern part, near Sohuksan islands were nearly constant. 4. Styrofoams were composed of 63% among all debris in YS, next paper and cardboard 15%, and wood item, vinyl and plastics each 10%. Therefore, marine debris of YS is revealed that distribution characteristics and composition are very different in each area. These phenomena are concluded that they largely depend on the life styles in land and the utilities of the sea. And of items, styrofoams is dominated by the distribution pattern of YS. Furthermore, surveys are continuously being investigated, and from this it is hoped that a much wider coverage can be achieved, perhaps all sites of the YS and contributed to the finding sources, the stationary area and removal method of debris joined the flow patterns.

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