Abstract
The control system of a nuclear reactor ensures the safe operation of a nuclear power plant. A Pressurized Water Reactor (PWR) in a nuclear reactor is a complex system since it contains uranium oxide. The aim of this paper is to model the process of operation for primary system in PWR in the form of graphical representation. The method of autocatalytic set approach of PWR has been introduced and presented in this paper. Further, the result of the dynamic process of the model has been presented, which is then is verified against published data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Murray, R.: Nuclear Energy: An Introduction to the Concepts, Systems, and Applications of Nuclear Processes, Butterworth-Heinemann (2000)
Fazekas, C., Szederkenyi, G., Hangos, K.: A Simple Dynamic Model Of The Primary Circuit In VVER Plants For Controller Design Purposes. Nuclear Engineering and Design 237, 1071–1087 (2007)
Babuska, R.: Fuzzy Modelling: Principles, Methods and Application. In: Bonivento, C., Fantuzzi, C., Rovatti, R. (eds.) Fuzzy Logic Control-Advance in Methodology. World Scientific, Singapore (1998)
Lindskog, P.: Fuzzy Identification from a Grey Box Modeling Point of View. In: Hellendoorn, H., Driankov, D. (eds.) Fuzzy Model Identification, pp. 3–50. Springer (1997)
Ashaari, A., Ahmad, T., Shamsuddin, M., Adib Abdullah, M.: State space modeling of reactor core in a pressurized water reactor. In: Proceedings of the 21st National Symposium on Mathematical Sciences (SKSM21): Germination of Mathematical Sciences Education and Research towards Global Sustainability, vol. 1605, pp. 494–499. AIP Publishing (2014)
Ashaari, A., Ahmad, T., Shamsuddin, M., Omar, N.: Modelling Steam Generator System of Pressurized Water Reactor Using Fuzzy State Space. International Journal of Pure and Applied Mathematics 103(1) (2015)
Ahmad, T., Baharun, S., Arshad, K.A.: Modeling A Clinical Incineration Process using Fuzzy Autocatalytic Set. Journal of Mathematical Chemistry 47, 1263–1273 (2010)
Carlson, S.C.: Graph Theory. Encyclopedia Britannica (2010)
Balakrishnan, R., Ranganathan, K.A.: Textbook of Graph Theory. Springer (2012)
Harary, F.: Graph Theory. Addison Wesley Publishing Company, California (1969)
Epp, S.S.: Discrete Mathematics with Applications. PWS Publishing Company, Boston (1993)
Jain, S., Krishna, S.: Formation and Destruction of Autocatalytic Sets in an Evolving Network Model. Indian Institute of Science-Bangalore, India, Ph.D. Thesis (2003b)
EPS-GW-GL-700 Rev 1.: AP1000 European Design Control Document. Westinghouse Electric Company LLC, Pittsburgh (2009)
UKP-GW-GL-058.: UK AP1000 D1 Form Submission. Pittsburgh: Westinghouse Electric Company LLC (2009)
Neeb, K.H.: The Radiochemistry Of Nuclear Power Plants With Light Water Reactors. Walter de Gruyter (1997)
Castelli, R.: Nuclear Corrosion Modeling: The Nature of CRUD, Butterworth-Heinemann (2009)
Abu Bakar, S., Ahmad, T., Baharun, S.: Transition Probability Matrix for Fuzzy Autocatalytic Set of Fuzzy Graph Type-3. Advances and Applications in Mathematical Sciences 5, 25–38 (2010)
Jain, S., Krishna, S.: Autocatalytic Sets and the Growth of Complexity in an Evolutionary Model. Physical Review Letters 81, 5684–5687 (1998)
Jain, S., Krishna, S.: Emergence and Growth of Complex Networks in Adaptive Systems. Computer Physics Communications 121–122, 116–121 (1999)
Gilbert Gedeon, P.: Fundamentals of Chemistry. Nuclear engineering and technology, Continuing Education and Development, Inc. (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media Singapore
About this paper
Cite this paper
Ashaari, A., Ahmad, T., Shamsuddin, M., Mohammad, W.M.W. (2015). An Autocatalytic Model of a Pressurized Water Reactor in a Nuclear Power Generation. In: Berry, M., Mohamed, A., Yap, B. (eds) Soft Computing in Data Science. SCDS 2015. Communications in Computer and Information Science, vol 545. Springer, Singapore. https://doi.org/10.1007/978-981-287-936-3_11
Download citation
DOI: https://doi.org/10.1007/978-981-287-936-3_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-287-935-6
Online ISBN: 978-981-287-936-3
eBook Packages: Computer ScienceComputer Science (R0)