Reduced-Order Modelling with Domain Decomposition Applied to Multi-Group Neutron Transport
Toby R. F. Phillips,
Claire E. Heaney,
Brendan S. Tollit,
Paul N. Smith and
Christopher C. Pain
Additional contact information
Toby R. F. Phillips: Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
Claire E. Heaney: Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
Brendan S. Tollit: Jacobs, King’s Point House, Queen Mother Square, Poundbury, Dorchester DT1 3BW, UK
Paul N. Smith: Jacobs, King’s Point House, Queen Mother Square, Poundbury, Dorchester DT1 3BW, UK
Christopher C. Pain: Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
Energies, 2021, vol. 14, issue 5, 1-25
Abstract:
Solving the neutron transport equations is a demanding computational challenge. This paper combines reduced-order modelling with domain decomposition to develop an approach that can tackle such problems. The idea is to decompose the domain of a reactor, form basis functions locally in each sub-domain and construct a reduced-order model from this. Several different ways of constructing the basis functions for local sub-domains are proposed, and a comparison is given with a reduced-order model that is formed globally. A relatively simple one-dimensional slab reactor provides a test case with which to investigate the capabilities of the proposed methods. The results show that domain decomposition reduced-order model methods perform comparably with the global reduced-order model when the total number of reduced variables in the system is the same with the potential for the offline computational cost to be significantly less expensive.
Keywords: reduced-order modelling; domain decomposition; model reduction; neutron diffusion equation; reactor physics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/14/5/1369/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/5/1369/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:5:p:1369-:d:509309
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().