• Title of article

    Optimization of Low-Temperature Exhaust Gas Waste Heat Fueled Organic Rankine Cycle Original Research Article

  • Author/Authors

    Hui-tao WANG، نويسنده , , Hua WANG، نويسنده , , Zhuming Zhang، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2012
  • Pages
    7
  • From page
    30
  • To page
    36
  • Abstract
    Low temperature exhaust gases carrying large amount of waste heat are released by steel-making process and many other industries, Organic Rankine Cycles (ORCs) are proven to be the most promising technology to recover the low-temperature waste heat, thereby to get more financial benefits for these industries. The exergy analysis of ORC units driven by low-temperature exhaust gas waste heat and charged with dry and isentropic fluid was performed, and an intuitive approach with simple impressions was developed to calculate the performances of the ORC unit. Parameter optimization was conducted with turbine inlet temperature simplified as the variable and exergy efficiency or power output as the objective function by means of Penalty Function and Golden Section Searching algorithm based on the formulation of the optimization problem. The power generated by the optimized ORC unit can be nearly as twice as that generated by a non-optimized ORC unit. In addition, cycle parametric analysis was performed to examine the effects of thermodynamic parameters on the cycle performances such as thermal efficiency and exergy efficiency. It is proven that performance of ORC unit is mainly affected by the thermodynamic property of working fluid, the waste heat temperature, the pinch point temperature of the evaporator, the specific heat capacity of the heat carrier and the turbine inlet temperature under a given environment temperature.
  • Keywords
    pinch point , Waste Heat Recovery , Organic Rankine cycle , optimization , Working fluid , Exergy
  • Journal title
    Journal of Iron and Steel Research
  • Serial Year
    2012
  • Journal title
    Journal of Iron and Steel Research
  • Record number

    1239296