• DocumentCode
    3581011
  • Title

    Performance study of reheat gas turbine matched with supercritical once-through HRSG

  • Author

    Huang Zhifeng ; Yang Cheng

  • Author_Institution
    Coll. of Electr. Power, South China Univ. of Technol., Guangzhou, China
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In order to improve the efficiency and power output of combined cycle gas turbine (CCGT) power plants, a new design of combined cycle with reheat gas turbine (RGT) matched with supercritical Rankine cycle is proposed. Steam cycle is composed of supercritical single pressure level once-through with reheat Heat Recover Steam Generator (SCHRSG). Aspen plus software has been used to calculate the process and to study the performances at different design conditions. The optimization of combined cycle parameters is based on maximizing combined cycle efficiency and has been done using a genetic algorithm (GA). The results are compared with those combined cycles where the gas turbine are not reheated and the HRSG has subcritical three pressure levels with reheat (3HRSG); dramatically advantages in efficiency are highlighted.
  • Keywords
    Rankine cycle; boilers; combined cycle power stations; gas turbine power stations; genetic algorithms; heat recovery; power generation planning; 3HRSG; CCGT power plants; RGT system; SCHRSG; combined cycle efficiency maximization; combined cycle gas turbine power plants; genetic algorithm; output power; reheat gas turbine performance; reheat heat recover steam generator; supercritical Rankine cycle; supercritical once-through HRSG; supercritical single pressure level; Combustion; Fuels; Genetic algorithms; Load modeling; Optimization; Turbines; combined cycle; genetic algorithm; reheat gas turbine; supercritical once-through HRSG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2014.7066027
  • Filename
    7066027