In the Dual Fluid Reactor (DFR) plants, there are two separated loops in which liquid metals, Uranium-Chromium eutectic as fuel and lead as a coolant will flow. Due to the high operating temperature of DFR, special contact-free pumps have to be applied. The best solution seems to be a magnetohydrodynamic pumping system which can utilize magnetic and electric fields acting on the metallic flow.
Driven by the desire to expand the industrial applications of high temperature gas-cooled reactors (HTGR) the Japan Atomic Energy Agency (JAEA) is intensively conducting research and development activities on the new commercial design of Gas Turbine High Temperature Reactor for Cogeneration (GTHTR300C). In order to confirm operation and safety performance of such a system for electricity and hydrogen cogeneration, the pre-licensing design of the test plant has been recently proposed that is based on the existing JAEA’s technology – High Temperature Engineering Test Reactor (HTTR).
The first-of-a-kind commercial electricity and hydrogen cogeneration system are being designed by the Japan Atomic Energy Agency (JAEA) to establish the industrial application of high-temperature gas-cooled reactors (HTGR). The High Temperature Engineering Test Reactor (HTTR) is expected to be coupled with a test cogeneration plant in order to prove safety features and justify further HTGR technology development. The National Centre for Nuclear Research (NCBJ) initiated activities on reliability analysis of such a combined nuclear/non-nuclear facility.
There are many ways to quantify initiating event probability and most of them are described in the document “Defining initiating events for purposes of probabilistic safety assessment”, developed by the International Atomic Energy Agency. This guide describes seven methods: engineering evaluation or technical study of a plant; reference to previous probabilistic safety assessment; EPRI list of initiating events; logical classification; plant energy balance fault tree; analysis of operation experience for an actual plant; failure mode and effect analysis.
The Technical Working Group on Gas Cooled Reactors is a group of experts nominated by their governments and appointed by the International Atomic Energy Agency (IAEA) Secretariat to provide advice and support programme implementation in the area of gas cooled reactor technology development. The purpose of the TWG meetings is to identify subjects of common interest for future collaboration through information exchange and cooperative research.
Right energy management in combined heat and power plants implies both reduced emissions and saved fuels. The Warsaw University of Technology team took part in hackathon in December 2019. Contestants’ goal was to create the optimization model for covering the heat demand based on real data. Firstly members of the winning team will present the idea of combined heat and power production and elaborate on the role of a heat accumulator in the process. Then, they will superficially share their experience with building the winning prototype application.
Rutherford backscattering spectrometry is used to determine the structure and composition of materials by measuring the backscattering of a beam of high energy ions (typically protons or alpha particles) impinging on a sample. Computer modeling of RBS is used for analysis of modeled structures created by molecular dynamics method.
The aim of the presentation is to discuss some fundamentals concerning the question of efficiency and scalability of numerical algorithms on computing cluster. The issues related to the development of such algorithms will be illustrated for the problem of solving system of linear equations with tridiagonal matrix derived from the approximation of transport linear differential equation. Application of the algorithm to finding the solutions of other partial differential equations will be also presented.
Most of us understand the fundamental role of experiment for scientific work. Physical experiments are rightfully associated with high costs of hardware, preparation, execution and analysis time. To optimize those constraints, Design of Experiments (DoE) methods are employed that allow to reduce the number of test samples (trials) and form conclusions based on statistical analysis of results.