• Title/Summary/Keyword: 디젤발전기

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Improvement of combustion efficiency for marine auxiliary diesel engine (선박발전기용 디젤엔진의 연소효율 개선에 관한연구)

  • Jung, Kyun-Sik
    • Journal of Advanced Marine Engineering and Technology
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    • v.38 no.3
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    • pp.233-239
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    • 2014
  • The accurate engine output is basically one of important factors for the analysis of engine performance. Nowadays in-cylinder pressure analyzer in internal combustion engine is also an indispensable tool for engine research and development, environment regulation and maintenance of engine. The combustion analysis is desperately needed in order to induce a correct judgment on the condition of the engine and suggest the specific ways to improvement as well as the correct engine output. And these tool is advantageous to reduce fuel consumption and maintenance of the engine. In this study, using the developed measuring kit, combustion analysis of marine generator engine which was adapted as test engine was carried out. It was verified that the good operation condition of the engine as well as contributing to fuel savings by checking and readjusting accurately the irregular combustion of the test engine were accomplished. From the results all above, it was recognized that the measuring kit by new method for engine output was developed and verified for its utilities.

Study on Post-Fire Safe Shutdown Analysis using an Imaginary Plant for Training (교육용 가상원전을 이용한 화재안전정지분석에 관한 연구)

  • Lee, Jaiho;Kim, Jin Hong
    • Fire Science and Engineering
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    • v.32 no.1
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    • pp.57-65
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    • 2018
  • In this study, a post-fire safe shutdown analysis (PFSSA) including multiple spurious operation (MSO) treatments for cables was conducted with an imaginary nuclear power plant for training using a deterministic fire analysis code. The imaginary nuclear power plant for the training consisted of a reactor containment building and an auxiliary building, including a total of 22 fire areas. The equipment including valves, pumps, emergency diesel generators, switch gears, motor control centers, and logic controllers were located in each fire area of the imaginary plant. It was assumed that each equipment is connected with two cables and that each cable passes through the fire areas along the cable trays. A database containing the information on the equipment and cables for the imaginary plant was constructed for the fire area analysis. The fire area analysis was performed for several assumed MSO scenarios, equipment logics, and cable logics. A mitigation measure using a three hour rated wrap was applied to the failed cables and cable trays after the fire area analysis.

Modeling and Simulation of Small and Medium-sized Ships for Fuel Reduction Rate Verification (연료 감소율 검증을 위한 중소형 선박의 모델링 및 시뮬레이션)

  • Kim, Sung-Dong;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.6
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    • pp.914-921
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    • 2022
  • The International Maritime Organization (IMO) has set a goal of reducing ship's carbon dioxide emissions by 70% and greenhouse gas emissions by 50% by 2050 compared to 2008. Shipowners and shipyards are promoting various R&D activities such as LNG propulsion, ammonia propulsion, electric propulsion, CO2 capture, and shaft generators as a way to satisfy this problem. The dual shaft generator has the advantage that it can be directly applied to an existing ship through remodeling. In this paper, the total fuel reduction rate that can be obtained by applying the shaft generator to the existing ship was verified through simulation. For this purpose, the size of the medium-sized ship was defined, and the governor, diesel engine, propeller, torque switch, generator for shaft generator, propulsion motor for shaft generator, and ship model were modeled and simulated.

Study on the Lubricity Characteristics of Bio-heavy Oil for Power Generation by Various feedstocks (다양한 원료에 따른 발전용 바이오중유의 윤활 특성 연구)

  • Kim, Jae-Kon;Jang, Eun-Jung;Jeon, Cheol-Hwan;Hwang, In-Ha;Na, Byung-Ki
    • Journal of the Korean Applied Science and Technology
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    • v.35 no.4
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    • pp.985-994
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    • 2018
  • Bio-heavy oil for power generation is a product made by mixing animal fat, vegetable oil and fatty acid methyl ester or its residues and is being used as steam heavy fuel(B-C) for power generation in Korea. However, if the fuel supply system of the fuel pump, the flow pump, the injector, etc., which is transferred to the boiler of the generator due to the composition of the raw material of the bio-heavy oi, causes abrasive wear, it can cause serious damage. Therefore, this study evaluates the fuel characteristics and lubricity properties of various raw materials of bio-heavy oil for power generation, and suggests fuel composition of biofuel for power generation to reduce frictional wear of generator. The average value of lubricity (HFRR abrasion) for bio-heavy oil feedstocks for power generation is $137{\mu}m$, and it varies from $60{\mu}m$ to $214{\mu}m$ depending on the raw materials. The order of lubricity is Oleo pitch> BD pitch> CNSL> Animal fat> RBDPO> PAO> Dark oil> Food waste oil. The average lubricity for the five bio-heavy oil samples is $151{\mu}m$ and the distribution is $101{\mu}m$ to $185{\mu}m$. The order of lubricity is Fuel 1> Fuel 3> Fuel 4> Fuel 2> Fuel 5. Bio-heavy oil samples (average $151{\mu}m$) show lower lubricity than heavy oil C ($128{\mu}m$). It is believed that bio-heavy oil for power generation is composed of fatty acid material, which is lower in paraffin and aromatics content than heavy oil(B-C) and has a low viscosity and high acid value, resulting in inhibition of the formation of lubricating film by acidic component. Therefore, in order to reduce friction and abrasion, it is expected to increase the lubrication of fuel when it contains more than 60% Oleo pitch and BD pitch as raw materials of bio-heavy oil for power generation.

A Study on Design of Wind Blade with Rated Capacity of 50kW (50kW 풍력블레이드 설계에 관한 연구)

  • Kim, Sang-Man;Moon, Chae-Joo;Jung, Gweon-Sung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.3
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    • pp.485-492
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    • 2021
  • The wind turbines with a rated capacity of 50kW or less are generally considered as small class. Small wind turbines are an attractive alternative for off-grid power system and electric home appliances, both as stand-alone application and in combination with other energy technologies such as energy storage system, photovoltaic, small hydro or diesel engines. The research objective is to develop the 50kW scale wind turbine blades in ways that resemble as closely as possible with the construction and methods of utility scale turbine blade manufacturing. The mold process based on wooden form is employed to create a hollow, multi-piece, lightweight design using carbon fiber and fiberglass with an epoxy based resin. A hand layup prototyping method is developed using high density foam molds that allows short cycle time between design iterations of aerodynamic platforms. A production process of five blades is manufactured and key components of the blade are tested by IEC 61400-23 to verify the appropriateness of the design. Also, wind system with developed blades is tested by IEC 61400-12 to verify the performance characteristics. The results of blade and turbine system test showed the available design conditions for commercial operation.

A study on fault diagnosis of marine engine using a neural network with dimension-reduced vibration signals (차원 축소 진동 신호를 이용한 신경망 기반 선박 엔진 고장진단에 관한 연구)

  • Sim, Kichan;Lee, Kangsu;Byun, Sung-Hoon
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.5
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    • pp.492-499
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    • 2022
  • This study experimentally investigates the effect of dimensionality reduction of vibration signal on fault diagnosis of a marine engine. By using the principal component analysis, a vibration signal having the dimension of 513 is converted into a low-dimensional signal having the dimension of 1 to 15, and the variation in fault diagnosis accuracy according to the dimensionality change is observed. The vibration signal measured from a full-scale marine generator diesel engine is used, and the contribution of the dimension-reduced signal is quantitatively evaluated using two kinds of variable importance analysis algorithms which are the integrated gradients and the feature permutation methods. As a result of experimental data analysis, the accuracy of the fault diagnosis is shown to improve as the number of dimensions used increases, and when the dimension approaches 10, near-perfect fault classification accuracy is achieved. This shows that the dimension of the vibration signal can be considerably reduced without degrading fault diagnosis accuracy. In the variable importance analysis, the dimension-reduced principal components show higher contribution than the conventional statistical features, which supports the effectiveness of the dimension-reduced signals on fault diagnosis.