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AI tool for automatic synthesis of CHP systems

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Inside the EU countries significant investments are expected in both the electricity production and energy transfers within the next 15 years. Such investments will need the precise decision-making processes, supported with very versatile engineering tools. The major objective of this paper is to propose an application of a new methodology to design power systems in a fully automatic way. The proposed methodology utilizes such artificial intelligence tools like genetic algorithms and expert systems.
Rocznik
Strony
705--714
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
autor
autor
autor
autor
autor
  • Silesian University of Technology Politechnika Śląska], Institute of Thermal Technology, ul. Konarskiego 22, 44-100 Gliwice
Bibliografia
  • [1] J. Arabas. Lectures on Evolutionary Algorithms (in Polish). Wydawnictwa Naukowo-Techniczne, Warszawa, 2001.
  • [2] T. Baeck, D.B. Fogel, Z. Michalewicz, eds. Handbook of Evolutionary Computations. Computation Intelligence Library, Institute of Physics Publishing, 1997.
  • [3] W. Behrens, P.M. Hawranek. Manual for the Preparation of Industrial Feasibility Studies. Warszawa: United Nations Industrial Development Organisation, 1993-2003.
  • [4] R.A. Bialecki, T. Burczynski, A. Dlugosz, W. Kus, Z. Ostrowski. Evolutionary shape optimization of ther- moelastic bodies exchanging heat by convection and radiation. Computer Methods in Applied Mechanics and Engineering, 194(17): 1839-1859, 2005.
  • [5] D.E. Goldberg. Genetic algorithms in search, optimization and machine learning. Addison-Wesley, Reading, MA, 1989.
  • [6] J.H. Horlock. Advanced Gas Turbine Cycles. Elsevier Science, Amsterdam-Tokyo, 2003.
  • [7] S.A. Klein. Engineering Equation Solver. www.fChart.com, Copyright ©1992-2003.
  • [8] R. Melli, E. Sciubba. A prototype expert system for the conceptual synthesis of thermal process. Energy Conversion and Management, 38: 1737-1749, 1997.
  • [9] R. Melli, E. Sciubba. Artificial Intelligence in Thermal Systems Design: Concepts and Applications. Nova Science-Pergamon Press, 1998.
  • [10] Z. Michalewicz. Genetic Algorithms + Data Structures = Evolutionary Programs. Springer-Verlag, Berlin-New York, 1996.
  • [11] L. Rutkowski. New Soft Computing Techniques for System Modelling, Pattern Classification and Image Processing. Springer, Berlin-Tokyo, 2004.
  • [12] L. Rutkowski. Flexible Neuro-Fuzzy Systems. Kluwer Academic Publishers, Boston-London, 2004.
  • [13] J. Szargut, A. Ziejbik, W. Stanek. Depletion of non-renewable exergy resources as a measure of the ecological cost. Energy Conversion and Management, 43: 1149-1163, 2002.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB1-0031-0018
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