• Title/Summary/Keyword: Gas engine generation

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An Experimental and Numerical Analysis on Performance Comparison of a Trigeneration Desiccant System and Conventional Air-conditioning System (Trigeneration 제습공조시스템과 일반공조시스템의 성능 비교 실험 및 수치해석)

  • Kim, Hyoung-Tae;Chae, Jungmin;Cho, Young-Ah;Park, So-jin;Song, Geun-Soo
    • Journal of the Korean Institute of Gas
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    • v.22 no.3
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    • pp.32-37
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    • 2018
  • Recently, the distributed power generation market using natural gas is expected to expand gradually according to the government's future energy conversion policy. Distributed power generation means small power generation source near the power demand site, which has the advantage of reducing the construction costs of the transmission and distribution infrastructure, operating cost and power loss. A typical example of distributed generation using natural gas is the trigeneration system. In this study, we conducted a basic study on the performance analysis of trigeneration desiccant system for dehumidifying / cooling / heating in the air conditioner room by using the cold and engine waste heat energy generated in the trigeneration system. It shows that the system efficiency increases and the energy consumption decreases as the temperature difference between the inlet and outlet of the trigeneration system increases compared with the general air conditioning system.

POWER AND ENERGY STORAGE DEVICES FOR NEXT GENERATION HYBRID ELECTRIC VEHICLE (차세대 복합형 전기자동차의 전력 및 에너지 저장장치)

  • Kim, Min-Huei
    • Journal of the Korean Society of Industry Convergence
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    • v.1 no.1
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    • pp.31-41
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    • 1998
  • Fuel conservation and environmental pollution control are the principal motivating factors that are urging at present widespread research and development activities for electric hybrid vehicles throughout the world. The paper describes different possible energy storage devices, such as battery, flywheel and ultra capacitor, and power sources, such as gasoline engine, diesel engine, gas turbine and fuel cell for next generation hybrid electric vehicle. The technology trend and comparison in energy storage and power devices indicate that battery and gasoline engine, respectively will remain the most viable devices for hybrid vehicle at least in the near future.

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Development of Biomass Gasification System Using a Downdraft Gasifier (하향류식 가스화기를 이용한 바이오매스 가스화 시스템 개발)

  • Son, Young-Il;Yoon, Sang-Jun;Choi, Young-Chan;Kim, Yong-Ku;Ra, Ho-Won;Lee, Jae-Goo
    • 한국신재생에너지학회:학술대회논문집
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    • 2007.11a
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    • pp.662-665
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    • 2007
  • Since biomass is given the status of "renewable resource" in contrast to "exhaustible resource" e.q., fossil fuels, it plays a significant role in the sustainable development in future. We installed a downdraft gasifier for power generation from biomass materials. The biomass raw materials were wood chips with a moisture content of 18-23 wt.%, supplied at 40-50kg/h. This paper describes on the optimum gasification air ratio that is defined as the ratio of the oxygen mole supplied into the gasifier to the oxygen mole required for complete combustion for producing syngas supplied into a gas engine. The results showed that, lower heating value of the syngas was 1200 $kcal/m^3$ $_N-dry$ and cold gas efficiency of the gasification system was 72% under optimum operating conditions.

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A Study on Compressor Map Identification using Artificial Intelligent Technique and Performance Deck Data (인공지능 및 성능덱 데이터를 이용한 압축기 성능도 식별에 관한 연구)

  • Kong Chang-Duck;Ki Ja-Young;Lee Chang-Ho
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2005.11a
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    • pp.149-153
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    • 2005
  • In order to estimate the gas turbine engine performance precisely, the component maps containing their own performance characteristics should be needed. In this study a component map generation method which may identify compressor map conversely from a performance deck provided by engine manufacturer using genetic algorithms was newly proposed. As a demonstration example for this study, the PW 206C turbo shaft engine for the tilt rotor type Smart UAV (Unmanned Aerial Vehicle). In ordo to verify the proposed method, steady-state performance analysis results using the newly generated compressor map was compared with them performed by EEPP(Estimated Engine Performance Program) deck provided by engine manufacturer. And also the performance results using the identified maps were compared with them using the traditional scaling method. In this investigation, it was found that the newly proposed map generation method would be more effective than the traditional scaling method.

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A Study on Compressor Map Identification using Artificial Intelligent Technique and Performance Deck Data (인공지능 및 성능덱 데이터를 이용한 압축기 성능도 식별에 관한 연구)

  • Ki Ja-Young;Kong Chang-Duck;Lee Chang-Ho
    • Journal of the Korean Society of Propulsion Engineers
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    • v.9 no.4
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    • pp.81-88
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    • 2005
  • In order to estimate the gas turbine engine performance precisely, the component maps containing their own performance characteristics should be needed. In this study a component map generation method which may identify compressor map conversely from a performance deck provided by engine manufacturer using genetic algorithms was newly proposed. As a demonstration example for this study, the PW 206C turbo shaft engine for the tilt rotor type Smart UAV(Unmanned Aerial Vehicle). In order to verify the proposed method, steady-state performance analysis results using the newly generated compressor map was compared with them performed by EEPP(Estimated Engine Performance Program) deck provided by engine manufacturer. And also the performance results using the identified maps were compared with them using the traditional scaling method. When the performance analysis is performed at far away operation conditions from the design point, in case of use of e component map by the traditional scaling method, the error of the performance analysis results is greatly increasing. In the other hand, if in case of use of the compressor map generated by the proposed GAs scheme, the performance analysis results are closely met with those by the performance deck, EEPP.

A Study of Inverse Modeling from Micro Gas Turbine Experimental Test Data (소형 가스터빈 엔진 실험 데이터를 이용한 역모델링 연구)

  • Kong, Chang-Duk;Lim, Se-Myeong;Koo, Young-Ju;Kim, Keon-Woo;Oh, Seong-Hwan;Kim, Ji-Hyun
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2009.11a
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    • pp.537-541
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    • 2009
  • The gas turbine engine performance is greatly relied on its component performance characteristics. Generally, acquisition of component maps is not easy for engine purchasers because it is an expensive intellectual property of gas turbine engine supplier. In the previous work, the maps were inversely generated from engine performance deck data, but this method is limited to obtain the realistic maps due to calculated performance deck data. Therefore this work proposes newly to generate more realistic compressor map from experimental performance test data. And then a realistic compressor map can be generated form those processed data using the proposed extended scaling method at each rotational speed. Evaluation can be made through comparison between performance analysis results using the performance simulation program including the generated compressor map and on-condition monitoring performance data.

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Application and verification analysis of the thermoelectric generation system for a coastal fishing vessel (열전발전 장치의 연안어선 활용에 관한 연구)

  • LEE, Donggil;YANG, Yongsu;KIM, Pyungkwan;KIM, Seonghun;KIM, Hyunyoung
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.53 no.2
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    • pp.196-203
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    • 2017
  • The renewable energy sources can be thought of one of the major measures to reduce greenhouse gas emissions in the industries. However, the utilization technology for those sources is approaching in the different matters. One of them, thermoelectric generation might be applicable to fishing industry. A various of internal combustion engines are used in a wide range of fisheries. After the ignition process, the heat passed out from the exhaust outlet. Recycling the heat could be not only an energy source but also reduction of green gas emission. Therefore, this study was designed to verify the feasibility of generation from wasted exhaust gas and analyze the performance. The designed experiment devices were connected with a data logger and an electric loader to quantify the currency and voltage. The devices were installed in a coastal fishing vessel for a gillnet fishery. During the whole fishing trips, the amount of generation was measured by engine rpm and the fishing operation procedures including vessel operations. At the maximum 1,500 rpm in the practical range, the generation amount was 113.6 W. The amount difference in relation to connection method was within 5 W: serial connection was 111.4 W and parallel connection was 115.8 W.

A Study on Diagnostics of Complex Performance Deterioration of Aircraft Gas-Turbine Engine Using Genetic Algorithms (유전자 알고리즘을 이용한 항공기용 가스터빈 엔진에 대한 복합 결함 진단에 대한 연구)

  • Kim, Seung-Min;Yong, Min-Chul;Roh, Tae-Seong;Choi, Dong-Whan
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2006.11a
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    • pp.285-288
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    • 2006
  • Genetic Algorithms(GA) which searches optimum solution using natural selection and the law of heredity has been applied to teaming algorithms in order to estimate performance deterioration of the aircraft gas turbine engine. The compressor, gas generation turbine and power turbine are considered for estimation for performance deterioration of a complex component at design point was conducted. As a result of that, complex defect diagnostics has been conducted. As a result, the accuracy of diagnostics were verified with its relative error with in 10% at each component.

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Analysis of Energy Losses in a Natural Gas Spark Ignition Engine for Power Generation (천연가스 스파크점화 엔진 발전기에서의 에너지 손실 분석)

  • Park, Hyunwook;Lee, Junsun;Oh, Seungmook;Kim, Changup;Lee, Yongkyu;Kang, Kernyong
    • Journal of ILASS-Korea
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    • v.25 no.4
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    • pp.170-177
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    • 2020
  • Stoichiometric combustion in spark ignition (SI) engines has an advantage of meeting future stringent emission regulations. However, the drawback of the combustion is a lower thermal efficiency than that of lean burn. In this study, energy losses in a natural gas stoichiometric SI engine generator were analyzed to establish a strategy for improving the generating efficiency (GE). The energy losses were investigated based on dynamometer and load bank experiments. As the intake manifold pressure increased in the dynamometer experiment, the brake thermal efficiency (BTE) increased mainly due to the reduction in the pumping and mechanical losses. In the load bank experiment, the generating power and GE increased with the increased intake manifold pressure. The generating power and GE were lower than the brake power and BTE due to the cooling fan power and the losses in the generator.

A Study on Defect Diagnostics of Gas-Turbine Engine on Off-Design Condition Using Genetic Algorithms (유전 알고리즘을 이용한 탈 설계 영역에서의 항공기용 가스터빈 엔진 결함 진단)

  • Yong, Min-Chul;Seo, Dong-Hyuck;Choi, Don-Whan;Roh, Tae-Seong
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2007.11a
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    • pp.350-353
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    • 2007
  • In this study, the genetic algorithm has been used for the real-time defect diagnosis on the operation of the aircraft gas-turbine engine. The component elements of the gas-turbine engine for consideriation of the performance deterioration is consist of the compressor, the gas generation turbine and the power turbine, repectively. Compared to the on-design point on the sea-level condition, the learning data has been increased 200 times in case of the off-design conditions for the altitude, the flight mach number and the fuel consumption. Therefore, enormous learning time has been required for the satisfied convergence. The optimum division has been proposed to decrease learning time as well as to obtain high accuracy. As results, the RMS errors of the defect diagnosis using the genetic algorithm have been estimated under 5 %.

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