• Title/Summary/Keyword: Extraction condensing turbine

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A Development of GUI System for Optimal Operational Scheduling on Industrial Cogeneration Systems Using Evolutionary Algorithms (산업체 열병합발전시스템에서 최적운전계획 수립을 위한 진화 알고리즘을 이용한 GUI System 개발)

  • Jeong, Ji-Hoon;Lee, Jong-Beom
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.11
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    • pp.544-550
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    • 2002
  • This paper describes a strategy of a daily optimal operational scheduling on the industrial cogeneration system. The cogeneration system selected to establish the scheduling consists of three units and several auxiliary devices which include three auxiliary boilers, t재 waste boilers and three sludge incinerators. One unit generated electrical and thermal energy using the back pressure turbine. The other two units generate the energy using the extraction condensing turbine. Three auxiliary devices operate to supply energy to the loads with three units. The cogeneration system is able to supply enough the thermal energy to the thermal load, however it can not sufficiently supply the electric energy to the electrical load. Therefore the insufficient electric energy is compensated by buying electrical energy from utility. In this paper, the evolutionary algorithms was applied to establish the optimal scheduling for the cogeneration systems. Also the GUI System was developed using established mathematics medeling and evolutionary algorithms in order that non-experts are able to establish operational scheduling. This results revel that the proposed modeling and strategy can be effectively applied to cogeneration system for paper mill.

A Rational Operation Scheduling Using Evolutionary Algorithm on Industrial Cogeneration System (산업용 열병합발전시스템에서 진화 알고리즘을 이용한 합리적 운전계획 수립에 관한 연구)

  • Choi, Kwang-Beom;Jeong, Ji-Hoon;Lee, Jong-Beom
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.49 no.10
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    • pp.494-501
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    • 2000
  • This paper describes a strategy of a daily optimal operational scheduling in cogeneration system for paper mill. The cogeneration system selected to establish the scheduling consists of three units and several auxiliary devices. One unit generates electrical and thermal energy using the back pressure turbine. The rest two units generate the energy using the extraction condensing turbine. Three auxiliary boilers, two waste boilers and three sludge incinerators operate to supply energy to the loads with three units. The cogeneration system is able to supply enough the thermal energy to the thermal load, however it can not sufficiently supply the electrical power to the electrical load. Therefore the insufficient electric energy is compensated by buying electrical energy from utility. When the operational scheduling is performed considering the environmental problem. This paper shows the simulation results for daily operational scheduling obtained using the evolutionary algorithm. This results reveal that the proposed modeling and strategy can be effectively applied to cogeneration system for paper mill.

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Optimal Operation of industrial Cogeneration Plant with Back-Pressure and Extraction-Condensing Turbine/Generators (背壓과 抽氣復水터빈을 採用한 産業用 熱倂合 發電플랜트의 最適運用)

  • 오성근
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.12 no.2
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    • pp.69-76
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    • 1998
  • This paper presents a novel algorithm for determining the optimal operation of a cogeneration plant with back-pressure and extraction-condensing turbine/generators. The proposed algorithm determines the optimum load of boilers and turbine/generators, using only one parameter, the steam mass flow rate, which can be obtained directly from on-line measurement during plant operation. The proposed algorithm consists of the non -linear operating cost function, and its correlated constraints. Furthermore, it has been successfully applied to an actual industrial cogeneration plant, with satisfactory results. Comparison of these results with actual operating data has revealed that using the proposed algorithm results in at least 1.2~4.5[%] operating cost saving, depending on the process steam load. Furthermore the proposed algorithm can be easily installed in a process control computer because the required input data can be easily obtained from information available on-line.n-line.

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Performance Analysis on CHP Plant using Back Pressure Turbine according to Return Temperature Variation (배압터빈을 사용하는 열병합발전소의 열 회수 온도에 따른 성능특성 분석)

  • Im, Shin Young;Lee, Jong Jun;Jeon, Young-Shin;Kim, Hyung-Taek
    • The KSFM Journal of Fluid Machinery
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    • v.19 no.6
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    • pp.26-33
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    • 2016
  • Combined heat and power (CHP) system is one of the power generation system which can generate both electricity and heat. Generally, mid-size and big-size CHP plant in Korea generate electricity from gas turbine and steam turbine, then supply heat from exhaust gas. Actually, CHP can supply heat using district heater which is located at low pressure turbine exit or inlet. When the district heater locates after low pressure turbine, which called back pressure type turbine, there need neither condenser nor mode change operating control logic. When the district heater locates in front of low pressure turbine or uses low pressure turbine extraction steam flow, which calls condensing type turbine, which kind of turbine requires condenser. In this case, mode change operation methods are used for generating maximum electricity or maximum heat according to demanding the seasonal electricity and heat.

Operation Scheduling of Industrial Cogeneration System with Each other Generation Mode (서로다른 발전방식으로 운전되는 산업용 열병합발전시스템의 최적운전계획 수립)

  • Jeong, Ji-Hoon;Lee, Jong-Beom;Oh, Sung-Keun
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.354-356
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    • 2000
  • This paper describes the strategy of a daily optimal operational scheduling on cogeneration systems with each other generation mode. The cogeneration systems consists of three generators. auxiiiary devices which are three auxiliary boilers, two waste boilers and three sludge incinerators. One unit that using the back pressure turbin generates the electrical and the thermal energy. The other two units that using the extraction condensing turbine generate the energy. Auxiliary devices operate to supplement the thermal energy to the thermal load with three units. The cogeneration system has a large capacity which is able to supply enough the thermal energy to the thermal load, however the electric power generated is insufficient to satisfy the electrical load. Therefore the insufficient electric energy is supplemented by buying electrical energy from the utility. Simulation was carried out using optimization toolbox. The result reveals that the proposed modeling and strategy can be effectively applied to cogeneration systems with each other generation mode.

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