Pebble Bed Micro Model system identification

Venter, Willem C.; Lamprecht, Erwin Cornelius

doi:10.1016/j.anucene.2012.02.019

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…The coolant flow characteristics can be studied by computational fluid dynamical (CFD) simulation (e.g., k ε model in ANSYS fluent (Li et al, 2012;Wu et al, 2018d), CFD-DEM coupled method (Li and Ji, 2013;Chen et al, 2016Chen et al, , 2017a, direct numerical simulation (DNS) (Shams et al, 2013b) or large eddy simulation (LES) (Ebara et al, 2010)) to study the interstitial flow between pebbles, or by thermalfluid network analysis code (e.g., Flownex (Venter and Lamprecht, 2012). In general, ANSYS fluent or most CFD codes, in combination with suitable RANS (Reynolds Averaged Navier-Stokes) and LES models, are suitable to simulate the local details of flow, turbulence and heat transfer, and limited scales whole thermal-hydraulic system, supposing the huge numbers of grids are allowed by computer-clusters or super-computers.…”

Section: Coolant Materials and Flowmentioning

confidence: 99%

A review of pebble flow study for pebble bed high temperature gas-cooled reactor

Jiang

Yang

et al. 2019

Exp. Comput. Multiph. Flow

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The pebble bed high temperature gas-cooled reactor is a promising generation-IV reactor, which uses large fuel pebbles and helium gas as coolant. The pebble bed flow is a fundamental issue for both academic investigation and engineering application, e.g., reactor core design and safety analysis. This work performed a review of recent progress on pebble flow study, focusing on the important issues like pebble flow, gas phase hydrodynamics, and inter-phase heat transfer (thermal hydraulics). Our group's researches on pebble flow have also been reviewed through the aspects of phenomenological observation and measurement, voidage distribution, geometric and parameter optimization, pebble flow mechanisms, flow regime categorization, and fundamentals of modelings of pebble flow and radiation. Finally, the major problems or possible directions of research are concluded which would be some of our focuses on the pebble bed flow study.

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Section: Coolant Materials and Flowmentioning

confidence: 99%

A review of pebble flow study for pebble bed high temperature gas-cooled reactor

Jiang

Yang

et al. 2019

Exp. Comput. Multiph. Flow

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“…Furthermore, it allows simulation calculations to be performed both in real time and at the speed selected by the user [29]. This software is widely used in nuclear power [30][31][32][33], for modelling energy systems [34], biogas plants [35] or air conditioning system [36].…”

Section: Modelmentioning

confidence: 99%

Modeling of a transient low-temperature waste heat recovery in the plate heat exchanger in Flownex Simulation Environment

Zolińska

Mirek

Panowski

2022

J. Phys.: Conf. Ser.

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The paper analyses the feasibility of determining the parameters of a heat exchanger operating in the crop production and realising low-temperature heat recovery from biological processes. For the first time, the Flownex 8.7 Simulation Environment has been used for this purpose. The temperature of the waste water was between 20 and 30°C. On the basis of the simulations, the power of the heat exchanger is determined to be 1 MW. The heat exchanger can efficiently heat up cold water from a deep well (7-10°C) to an assumed temperature of 19.7°C. The results from the simulation calculations correspond to the results obtained under actual conditions within a range of up to 2%.

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“…A linear dynamic model of a fluidized bed nuclear reactor is proposed by Lathouwers et al [19]. Venter et al [20] applied system identification approach to derive mathematical model of a simulation of the pebble bed modular reactor. Fazekas et al [21] modelled the primary loop of VVER-type nuclear reactor for control requirements.…”

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confidence: 99%

Dynamic modelling, simulation, and control design of a pressurized water-type nuclear power plant

Vajpayee

Becerra

Bausch

et al. 2020

Nuclear Engineering and Design

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This article presents an integrated non-linear dynamic model of a Pressurized Water-type Nuclear Reactor (PWR) and associated plant components for control design and evaluation purposes. The model uses the first-principles approach to represent various components of the plant. The model considers the dynamics of the reactor core, thermal hydraulics, piping and plenum, pressurizer, steam generator, condenser, and turbinegovernor system, in addition to various actuators and sensors. The response of the proposed model is tested using perturbations in different input variables. Various control loops implementing low-level PI control strategies are designed and implemented in the model to simulate the closed-loop behaviour of the plant. These include control loops for reactor power, steam generator pressure, pressurizer pressure and level, and turbine speed. Linear quadratic Gaussian-based optimal control strategies are further developed and implemented. Unique contributions of the work include the set of plant sections that are considered, the implementation of carefully tuned control strategies, the completeness of the model equations, and the availability of parameter values so that the model is readily implementable and has the potential to become a benchmark for control design studies in PWR nuclear power plants.

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Pebble Bed Micro Model system identification

Cited by 4 publications

References 2 publications

A review of pebble flow study for pebble bed high temperature gas-cooled reactor

A review of pebble flow study for pebble bed high temperature gas-cooled reactor

Modeling of a transient low-temperature waste heat recovery in the plate heat exchanger in Flownex Simulation Environment

Dynamic modelling, simulation, and control design of a pressurized water-type nuclear power plant

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