• DocumentCode
    2586434
  • Title

    Optimal control for maximum power in thermal and chemical systems

  • Author

    Sieniutycz, Stanislaw

  • Author_Institution
    Fac. of Chem. & Process Eng., Warsaw Univ. of Technol., Warsaw, Poland
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This research treats power optimization for energy converters, such like thermal, solar and chemical engines. Thermodynamic analyses lead to converter´s efficiency and limiting power. Steady and dynamic systems are investigated. Static optimization of steady systems applies the differential calculus or Lagrange multipliers, dynamic optimization of unsteady systems uses variational calculus and dynamic programming. The primary result of the first is the limiting value of power, whereas that of the second is a total generalized work potential. The generalizing quantity depends on thermal coordinates and a dissipation index, h, i.e. the Hamiltonian of the problem of minimum entropy production. It implies stronger bounds on work delivered or supplied than the classical work of thermodynamics.
  • Keywords
    chemical engineering; differentiation; dynamic programming; optimal control; power control; thermodynamics; variational techniques; Lagrange multipliers; chemical systems; differential calculus; dynamic programming; energy converters; maximum power control; minimum entropy production; optimal control; steady systems optimisation; thermal system; thermodynamic analysis; unsteady systems optimisation; variational calculus; Chemical engineering; Chemical processes; Chemical technology; Engines; Entropy; Optimal control; Temperature control; Thermal variables control; Thermodynamics; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
  • Conference_Location
    Mallorca
  • ISSN
    1946-0759
  • Print_ISBN
    978-1-4244-2727-7
  • Electronic_ISBN
    1946-0759
  • Type

    conf

  • DOI
    10.1109/ETFA.2009.5347200
  • Filename
    5347200