AI tool for automatic synthesis of CHP systems
Keywords:
genetic algorithms, expert systems, combined heat and power (CHP), power plantAbstract
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.
References
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[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.
[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. 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.
Published
2022-08-17
Issue
pp. 705-714
Section
Articles
License
Copyright © The Author(s).
This work is licensed under the Creative Commons Attribution 4.0 International CC BY 4.0.
How to Cite
Ostrowski, Z., Liszka, M., Smołka, J., Ziębik, A., & Nowak, A. J. (2022). AI tool for automatic synthesis of CHP systems. Computer Assisted Methods in Engineering and Science, 14(4), 705-714. https://cames3.ippt.pan.pl/index.php/cames/article/view/805
