• DocumentCode
    177353
  • Title

    Maximum Profit of a Cogeneration System Based on Stirling Thermodynamic Cycle

  • Author

    Ferreira, A.C. ; Nunes, Manuel ; Martins, Lucia ; Teixeira, Senhorinha

  • Author_Institution
    Univ. of Minho, Guimaraes, Portugal
  • fYear
    2014
  • fDate
    June 30 2014-July 3 2014
  • Firstpage
    156
  • Lastpage
    160
  • Abstract
    Stirling engine technologies have been applied to cogeneration systems mainly for residential applications. The performance of Stirling engines has been evaluated considering different operational conditions, which include the electrical and thermal production, working fluid pressure, components geometrical sizing and others. Thermal-economic evaluation represents an effective tool to optimize a power plant with this type of technology. This study presents a mathematical model that encloses the physical variable equations able to simulate the thermodynamic transformations of the cycle, and a set of equations that define the purchase cost of the main plant components. The paper presents a numerical study faithfully simulating a micro-cogeneration unit based on an alpha type Stirling Engine. The simulations were performed through a Mat Lab code able to disclose the best economic output for the best combination of decision variables. Stirling engine performance is affected by geometrical and operational parameters optimization is required in order to obtain the best performance. Results show that the implemented mathematical model reached an optimal solution disclosing a positive profit for the best physical configuration of the system. Also, the cost estimation based on sizing and quality parameters shows a good correlation with the capital investment costs of commercial models.
  • Keywords
    Stirling engines; mathematical analysis; mechanical engineering computing; thermodynamic cycles; Mat Lab code; Stirling engine performance; Stirling engine technologies; Stirling engines; Stirling thermodynamic cycle; alpha type Stirling Engine; capital investment costs; cogeneration systems; cost estimation; geometrical sizing; mathematical model; maximum profit; microcogeneration unit; optimal solution; residential applications; thermal economic evaluation; thermal production; thermodynamic transformations; working fluid pressure; Biological system modeling; Cogeneration; Mathematical model; Optimization; Stirling engines; Thermodynamics; Numerical Optimisation; Stirling Engine; Thermo-economic Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Its Applications (ICCSA), 2014 14th International Conference on
  • Conference_Location
    Guimaraes
  • Type

    conf

  • DOI
    10.1109/ICCSA.2014.36
  • Filename
    6976678