AI tool for automatic synthesis of CHP systems

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Authors

  • Ziemowit Ostrowski Silesian University of Technology, Poland
  • Marcin Liszka Silesian University of Technology, Poland
  • Jacek Smołka Silesian University of Technology, Poland
  • Andrzej Ziębik Silesian University of Technology, Poland
  • Andrzej J. Nowak Silesian University of Technology, Poland

Abstract

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.

Keywords:

genetic algorithms, expert systems, combined heat and power (CHP), power plant

References

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[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. Białecki, T. Burczyński, A. Długosz, W. Kuś, Z. Ostrowski. Evolutionary shape optimization of thermoelastic 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.

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