HTGR reactor physics and fuel cycle studies

The high-temperature gas-cooled reactor (HTGR) appears as a good candidate for the next generation of nuclear power plants. In the “HTR-N” project of the European Union Fifth Framework Program, analyses have been performed on a number of conceptual HTGR designs, derived from reference pebble-bed and hexagonal block-type HTGR types. It is shown that several HTGR concepts are quite promising as systems for the incineration of plutonium and possibly minor actinides.These studies were mainly concerned with the investigation and intercomparison of the plutonium and actinide burning capabilities of a number of HTGR concepts and associated fuel cycles, with emphasis on the use of civil plutonium from spent LWR uranium fuel (first generation Pu) and from spent LWR MOX fuel (second generation Pu). Besides, the “HTR-N” project also included activities concerning the validation of computational tools and the qualification of models. Indeed, it is essential that validated analytical tools are available in the European nuclear community to perform conceptual design studies, industrial calculations (reload calculations and the associated core follow), safety analyses for licensing, etc., for new fuel cycles aiming at plutonium and minor actinide (MA) incineration/transmutation without multi-reprocessing of the discharged fuel.These validation and qualification activities have been centred round the two HTGR systems currently in operation, viz. the HTR-10 and the HTTR. The re-calculation of the HTTR first criticality with a Monte Carlo neutron transport code now yields acceptable correspondence with experimental data. Also calculations by 3D diffusion theory codes yield acceptable results. Special attention, however, has to be given to the modelling of neutron streaming effects. For the HTR-10 the analyses focused on first criticality, temperature coefficients and control rod worth. Also in these studies a good correspondence between calculation and experiment is observed for the 3D diffusion theory codes.     

Analytical model for CHF in narrows gaps on plates and in hemispherical geometries

This study deals with CHF in narrow gaps and the purpose is to propose a predictive model for the CHF, taking into account the effect of geometry and pressure. The modelling is based on a limitation by flooding of the flow entering the gap (CCFL for counter-current flow limitation). A model has been derived for both vertical plate and hemispherical geometry. The formulation proposed by Kutateladze (Eqs. (12) and (17) with a = 1 and b ∼ 1.7) provides best-fit results for both vertical channels and hemispherical geometry. The comparison with the results obtained by Köhler et al. [Köhler, W., Schmidt, H., Herbst, O., Krätzer, W., 1998. Thermohydraulische Untersuchungen zur Debris/Wand-Wechselwirkung (DEBRIS), Abschlussbericht Project No. 150 1017, November; Köhler, W., Schmidt, H., Herbst, O., Krätzer, W., 1998. Experiments on heat removal in a gap between debris crust and RPV wall. In: OECD/CSNI Workshop on In-Vessel Core Debris Retention and Coolability, Garching, Germany, March 3–6, also in First European-Japanese Two-Phase Flow Group Meeting, 36th European Two-Phase Flow Group Meeting, Portoroz 1–5 June, and Seventh Conference on Nuclear Engineering Tokyo, Japan, April 19–23, 2000 ICONE 7012.] seems to indicate that the validity of models based on CCFL controlled CHF is limited to gaps of less than 3–5 mm. Beyond this gap size, mechanisms other than CCFL might control the CHF. However, the experimental results are too scarce and affected by too large uncertainties to validate a theoretical model. Experimental uncertainties are mainly linked to the positioning of the structure (evolution of the gap with the temperature) and to the criteria that are applied to detect the CHF. The conclusion of applications to reactor situations at reduced pressure is that the corium mass that might be coolable through a gap is certainly much nearer to the mass observed in TMI2 (∼10–20 tonnes) than to the whole mass contained in a core (100 tonnes). The main uncertainty for reactor applications still remains the knowledge of the distribution and configuration of the relocated corium.     

Hypertrophic cardiomyopathy: spontaneous course

Hypertrophic cardiomyopathy is a relatively rare (prevalence approximately 0.2%), primary myocardial disorder with an autosomal pattern of inheritance, characterized by mostly asymmetric left ventricular hypertrophy with myocyte and myofibrillar disarray. To date, about 34 mutations of the beta-cardiac myosin heavy chain gene have been described and shown to have prognostic implications. The disease has an annual mortality rate of 3%, related to both sudden cardiac death and progressive systolic dysfunction. Not only diastolic but also progressive systolic dysfunction with cavity dilatation occurs in a minority of patients with severe hypertrophy during the long-term course. Sudden death often occurs in young, asymptomatic or mildly symptomatic patients. The degree of hypertrophy and the presence of a pressure gradient are of little prognostic significance. Nonsustained ventricular tachycardia is associated with a poor prognosis in the presence of a history of syncope.     

Motion Compensated Three-Dimensional Frequency Selective Extrapolation for improved error concealment in video communication

During transmission of video data over error-prone channels the risk of getting severe image distortions due to transmission errors is ubiquitous. To deal with image distortions at decoder side, error concealment is applied. This article presents Motion Compensated Three-Dimensional Frequency Selective Extrapolation, a novel spatio-temporal error concealment algorithm. The algorithm uses fractional-pel motion estimation and compensation as initial step, being followed by the generation of a model of the distorted signal. The model generation is conducted by an enhanced version of Three-Dimensional Frequency Selective Extrapolation, an existing error concealment algorithm. Compared to this existent algorithm, the proposed one yields an improvement in concealment quality of up to 1.64 dB PSNR. Altogether, the incorporation of motion compensation and the improved model generation extends the already high extrapolation quality of the underlying Frequency Selective Extrapolation, resulting in a gain of more than 3 dB compared to other well-known error concealment algorithms.     

The DOE advanced gas reactor fuel development and qualification program

The high outlet temperatures and high thermal-energy conversion efficiency of modular high-temperature gas-cooled reactors (HTGRs) enable an efficient and cost-effective integration of the reactor system with non-electricity-generation applications, such as process heat and/or hydrogen production, for the many petrochemical and other industrial processes that require temperatures between 300°C and 900°C. The U.S. Department of Energy (DOE) has selected the HTGR concept for the Next Generation Nuclear Plant (NGNP) Project as a transformative application of nuclear energy that will demonstrate emissions-free nuclear-assisted electricity, process heat, and hydrogen production, thereby reducing greenhouse-gas emissions and enhancing energy security. The objective of the DOE Advanced Gas Reactor (AGR) Fuel Development and Qualification program is to qualify tristructural isotropic (TRISO)-coated particle fuel for use in HTGRs. An overview of the program and recent progress is presented.     

Investigating Reliability on Fuel Cell Model Identification. Part II: An Estimation Method for Stochastic Parameters

An alternative way to process data from polarization measurements for fuel cell model validation is proposed. The method is based on re‐ and subsampling of I–V data, with which repetitive estimations are obtained for the model parameters. This way statistics such as standard deviations and correlations between the parameters may be experimentally derived. Histograms may also be produced, approximating the probability distributions that they follow. Two experimental case studies are discussed. In the first case, observations are made on the behavior of the parameter values for two mathematical models. As the number of data points (measurement points) employed in the estimation of the parameters increases, parameters with high variances converge to specific values. On the contrary, parameters with small variances diverge linearly. The parameters' histograms do not usually follow normal distributions rather they show a connection between the number of peaks in the graphs and correlations of the parameters. The second case study is an application on a fast degraded SOFC button cell, where the values and the histograms of the parameters are compared before and after degradation.     

Simulation of salinity effects on past, present, and future soil organic carbon stocks

Soil organic carbon (SOC) models are used to predict changes in SOC stocks and carbon dioxide (CO(2)) emissions from soils, and have been successfully validated for non-saline soils. However, SOC models have not been developed to simulate SOC turnover in saline soils. Due to the large extent of salt-affected areas in the world, it is important to correctly predict SOC dynamics in salt-affected soils. To close this knowledge gap, we modified the Rothamsted Carbon Model (RothC) to simulate SOC turnover in salt-affected soils, using data from non-salt-affected and salt-affected soils in two agricultural regions in India (120 soils) and in Australia (160 soils). Recently we developed a decomposition rate modifier based on an incubation study of a subset of these soils. In the present study, we introduce a new method to estimate the past losses of SOC due to salinity and show how salinity affects future SOC stocks on a regional scale. Because salinity decreases decomposition rates, simulations using the decomposition rate modifier for salinity suggest an accumulation of SOC. However, if the plant inputs are also adjusted to reflect reduced plant growth under saline conditions, the simulations show a significant loss of soil carbon in the past due to salinization, with a higher average loss of SOC in Australian soils (55 t C ha(-1)) than in Indian soils (31 t C ha(-1)). There was a significant negative correlation (p < 0.05) between SOC loss and osmotic potential. Simulations of future SOC stocks with the decomposition rate modifier and the plant input modifier indicate a greater decrease in SOC in saline than in non-saline soils under future climate. The simulations of past losses of SOC due to salinity were repeated using either measured charcoal-C or the inert organic matter predicted by the Falloon et al. equation to determine how much deviation from the Falloon et al. equation affects the amount of plant inputs generated by the model for the soils used in this study. Both sets of results suggest that saline soils have lost carbon and will continue to lose carbon under future climate. This demonstrates the importance of both reduced decomposition and reduced plant input in simulations of future changes in SOC stocks in saline soils.     

A Model for Understanding Electromigration-Induced Void Evolution in Dual-Inlaid Cu Interconnect Structures

Electromigration-induced void evolution in various dual-inlaid copper (Cu) interconnect structures was simulated by applying a phenomenological model assisted by Monte Carlo-based simulations, considering the redistribution of heterogeneously nucleated voids and/or pre-existing vacancy clusters at the Cu/dielectric cap interface during electromigration. The results indicate that this model can qualitatively explain the electromigration-induced void evolution observed during experimental in situ secondary-electron microscopy (SEM) investigations as well as in various other reported studies. The electromigration mechanism in Cu interconnect structures and differences in the peculiar electromigration-induced void evolution in various dual-inlaid Cu interconnect structures can be clearly understood based on this model. These findings warrant reinvestigation of technologically important electromigration mechanisms by developing rigorous models based on similar concepts.