Deterministic and stochastic computational models for the analysis of Nuclear Power Plant (NPP) start-up operations

The aim of this paper is to present an overview of both the deterministic and stochastic aspects of nuclear power plant (NPP) start-up and start-up accident scenarios. The neutron kinetics and corresponding nuclear reactor control mechanisms associated with deterministic NPP start-up are explained. The stochastic behaviour of neutron kinetics is explained and the procedures required to safely start-up an NPP due to these stochastic phenomena are outlined. Specific attention is given to the stochastic behaviour of neutrons in a low neutron source regime and the corresponding mathematical methods required for modelling such phenomena during NPP start-up accidents. The Pál-Bell equations are compared against the forward generating function equations utilising the gamma approximation in their ability to model NPP start-up accidents. The Pál-Bell equations are shown to be necessary to accurately calculate the maturity time for systems with either a very low neutron source strength or a very rapid reactivity insertion profile. Both the Hurwitz calculation route and MacMillan calculation route for low neutron source systems are explained. Full deterministic and stochastic calculations are performed for multiple nuclear reactor systems to illustrate the necessary analyses required for low neutron source NPP start-up accident scenarios. • Presents an overview of nuclear reactor start-up with a particular focus on low neutron source start-up. • Details the stochastic effects that must be taken into account when modelling low neutron source start-up. • Illustrated the need to evaluate the neutron population cumulative distribution beyond the maturity time calculated using the conventional method.

Authors

Institutions

Publication Details

Journal
Nuclear Engineering and Design
Published
2024-08-31
DOI
https://doi.org/10.1016/j.nucengdes.2024.113543
Citations
2
Primary Topic
Nuclear reactor physics and engineering
Type
article
Field-Weighted Citation Impact
2.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deterministic and stochastic computational models for the analysis of Nuclear Power Plant (NPP) start-up operations

Peter Haigh, M.D. Eaton, Thomas M. Sutton, M.M.R. Williams et al.
2 citations
Nuclear Engineering and Design
Nuclear reactor physics and engineering
2.60
article

Deterministic and stochastic computational models for the analysis of Nuclear Power Plant (NPP) start-up operations

Peter Haigh, M.D. Eaton, Thomas M. Sutton, M.M.R. Williams, T.L. Gordon, C.M. Cooling, Paul S. Bean, G. Morgan
article en
2 citations

Abstract

The aim of this paper is to present an overview of both the deterministic and stochastic aspects of nuclear power plant (NPP) start-up and start-up accident scenarios. The neutron kinetics and corresponding nuclear reactor control mechanisms associated with deterministic NPP start-up are explained. The stochastic behaviour of neutron kinetics is explained and the procedures required to safely start-up an NPP due to these stochastic phenomena are outlined. Specific attention is given to the stochastic behaviour of neutrons in a low neutron source regime and the corresponding mathematical methods required for modelling such phenomena during NPP start-up accidents. The Pál-Bell equations are compared against the forward generating function equations utilising the gamma approximation in their ability to model NPP start-up accidents. The Pál-Bell equations are shown to be necessary to accurately calculate the maturity time for systems with either a very low neutron source strength or a very rapid reactivity insertion profile. Both the Hurwitz calculation route and MacMillan calculation route for low neutron source systems are explained. Full deterministic and stochastic calculations are performed for multiple nuclear reactor systems to illustrate the necessary analyses required for low neutron source NPP start-up accident scenarios. • Presents an overview of nuclear reactor start-up with a particular focus on low neutron source start-up. • Details the stochastic effects that must be taken into account when modelling low neutron source start-up. • Illustrated the need to evaluate the neutron population cumulative distribution beyond the maturity time calculated using the conventional method.

Nuclear Engineering and DesignVol. 428
Rensselaer Polytechnic Institute (US), City & Guilds Group (GB), Rolls-Royce (United Kingdom) (GB)
Rolls-Royce, Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 8%
Nuclear reactor physics and engineering
2.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.