Nuclear Systems Research Articles

A Reduced Order Model Based on ANN-POD Algorithm for Steady-State Neutronics and Thermal-Hydraulics Coupling Problem

The neutronics and thermal-hydraulics (N/TH) coupling behavior analysis is a key issue for nuclear power plant design and safety analysis. Due to the high-dimensional partial differential equations (PDEs) derived from the N/TH system, it is usually time consuming to solve such a large-scale nonlinear equation by the traditional numerical solution method of PDEs. To solve this problem, this work develops a reduced order model based on the proper orthogonal decomposition (POD) and artificial neural networks (ANNs) to simulate the N/TH coupling system. In detail, the POD method is used to extract the POD modes and corresponding coefficients from a set of full-order model results under different boundary conditions. Then, the backpropagation neural network (BPNN) is utilized to map the relationship between the boundary conditions and POD coefficients. Therefore, the physical fields under the new boundary conditions could be calculated by the predicated POD coefficients from ANN and POD modes from snapshot. In order to assess the performance of an ANN-POD-based reduced order method, a simplified pressurized water reactor model under different inlet coolant temperatures and inlet coolant velocities is utilized. The results show that the new reduced order model can accurately predict the distribution of the physical fields, as well as the effective multiplication factor in the N/TH coupling nuclear system, whose relative errors are within 1%.

Fast reactor thermal hydraulics in the Dutch PIONEER program

The multi-year research program carried out by NRG and funded by the Dutch ministry of economic affairs and climate is called ‘Program for Innovation and cOmpetence development for NuclEar infrastructurE and Research’ (PIONEER). The program comprises seven themes, i.e. long term operation, nuclear modelling and simulation, nuclear safety and compliance, fuels & materials, radioactive waste management, radiation protection, and innovative nuclear systems. One of the pillars in the theme of innovative nuclear systems is fast reactor research, particularly in the field of thermal hydraulics. This paper provides an overview of all fast reactor thermal hydraulics activities in the program, covering development and validation of System Thermal Hydraulics (STH) and 3D (engineering as well as high-fidelity) Computational Fluid Dynamics (CFD) codes and simulation approaches. Applications range from fundamental turbulent heat transport to core, pool and system thermal hydraulics. With the recent improvements in computational infrastructure and power, also further developments of multi-scale and multi-physics computational approaches are being integrated in the PIONEER program. A generic coupling tool ‘myMuscle’ is under development which is introduced in this paper. Recent results and current developments are presented together with an outlook for the results to be expected at the end of the current multi-year program and beyond.

Research on anomaly detection and positioning of marine nuclear power steam turbine unit based on isolated forest

The steam turbine unit is an important power output and energy conversion device of the marine nuclear power system. The existing research on anomaly detection and positioning of marine nuclear power steam turbine units has the problems of unreasonable threshold setting, training model relying on abnormal data, and inability to locate anomalies. This study only uses normal data to train unsupervised clustering isolated forest algorithm, which avoids dependence on abnormal data and makes decision threshold more reasonable. At the same time, the concepts of time window and anomaly score are introduced to nalyse time factors and anomaly influence propagation factors, so as to realize anomaly detection and positioning at the system level, equipment level and parameter level of marine nuclear power steam turbine units. The recall rate of this method for each abnormal state exceeds 84%, the precision rate exceeds 94%, and the recall rate and precision rate for some abnormal states exceed 99%. At the same time, this method can accurately locate abnormal equipment and parameters.

Numerical computation on MHD natural convective ternary nanofluid flow and heat transfer in a porous square cavity: Marker-and-cell technique

PurposeThe analysis of fluid flow and thermal transport performance inside the cavity has found numerous applications in various engineering fields, such as nuclear reactors and solar collectors. Nowadays, researchers are concentrating on improving heat transfer by using ternary nanofluids. With this motivation, the present study analyzes the natural convective flow and heat transfer efficiency of ternary nanofluids in different types of porous square cavities.Design/methodology/approachThe cavity inclination angle is fixed ω = 0 in case (I) and in case (II). The traditional fluid is water, and is treated as a working fluid. Ternary nanofluid's thermophysical properties are considered, according to the Tiwari–Das model. The marker-and-cell numerical scheme is adopted to solve the transformed dimensionless mathematical model with associated initial–boundary conditions.FindingsThe average heat transfer rate is computed for four combinations of ternary nanofluids: and under the influence of various physical factors such as volume fraction of nanoparticles, inclined magnetic field, cavity inclination angle, porous medium, internal heat generation/absorption and thermal radiation. The transport phenomena within the square cavity are graphically displayed via streamlines, isotherms, local and average Nusselt number profiles with adequate physical interpretations.Practical implicationsThe purpose of this study is to determine whether the ternary nanofluids may be used to achieve the high thermal transmission in nuclear power systems, generators and electronic device applications.Social implicationsThe current analysis is useful to improve the thermal features of nuclear reactors, solar collectors, energy storage and hybrid fuel cells.Originality/valueTo the best of the authors’ knowledge, no research has been carried out related to the magneto-hydrodynamic natural convective ternary nanofluid flow and heat transmission filled in porous square cavities with an inclined cavity angle. The computational outcomes revealed that the average heat transfer depends not only on the nanoparticle’s volume concentration but also on the existence of heat source and sink.

Implementation of chiral two-nucleon forces to nuclear many-body methods with Gaussian-wave packets

Abstract Many-body methods that use Gaussian-wave packets to describe nucleon spatial distribution have been widely employed for depicting various phenomena in nuclear systems, in particular clustering. So far, however, the chiral effective field theory, a state-of-the-art theory of nuclear force, has not been applied to such methods. In this paper, we give the formalism to calculate the two-body matrix elements of the chiral two-nucleon forces using the Gaussian-wave packets. We also visualize the matrix elements and investigate the contributions of the central and tensor forces. This work is a foothold towards an ab initio description of various cluster phenomena in view of nucleons, pions, and many-nucleon forces.

Mechanical properties of molybdenum containing MoO2 and HfO2 processed by field assisted sintering technology (FAST): Characterization and modeling

Molybdenum and its alloys are of interest for applications with extreme thermomechanical requirements such as nuclear energy systems, electronics, aerospace vehicles, and hypersonic vehicles. In the present study, pure molybdenum and samples with added hafnium carbide (HfC) grain refiners were produced using field assisted sintering technology (FAST). The molybdenum and HfC reacted with oxygen to produce MoO2 and HfO2, and increased HfC content from 1 wt% to 5 wt% decreased grain size while the microhardness correspondingly increased. Room temperature three-point bending tests were conducted, and finite element modeling was used to define HfC-dependent bilinear material models. The presence of oxygen most severely affected pure molybdenum, which exhibited little strength and limited ductility, whereas for samples with added HfC, HfO2 was present, resulting in increased toughness hypothesized to be due to microcrack toughening. The samples with 1 wt% added HfC had the greatest energy absorption capability.

Ukraine’s nuclear security as a key element of the European security system

Ukraine, as a strategically located territory and an important player in the geopolitical interests of various power blocks, has become a key element of the European nuclear security system, so it is important to study the most important factors shaping the situation around nuclear weapons and take appropriate measures to avoid potential threats. The research aims to outline all aspects and factors of Ukraine’s nuclear security that directly affect the international security system, in particular, the European countries. The methodological basis of the study is a systematic analysis of information and regulatory sources, such as bilateral and multilateral international agreements, documents and materials of international organisations, documents of individual country authorities, speeches, and materials of print and electronic media. The article highlights the historical context, including the transfer of Ukrainian nuclear weapons materials to Russia following the Treaty on the Non-Proliferation of nuclear weapons. The current stage of development of the international nuclear non-proliferation regime is analysed. Attention is paid to the evolution of the regime under the influence of the confrontation between the two superpowers and the doctrine of mutual deterrence. The situation with nuclear security in Ukraine and its impact on the Black Sea region is analysed. The consequences of military actions in Ukraine and factors that create new dimensions for nuclear security, in particular in the context of control over nuclear materials and the possibilities of their use, are considered. The results of the study of the problem are presented in the description of new threats and risks that require deepening cooperation of international partners and taking effective measures to ensure nuclear safety in the region. The study emphasises the need for joint efforts to counter new challenges and minimise nuclear safety risks. The practical significance of the study is determined by strategies for cooperation with international partners to achieve stability in the field of nuclear safety

Understanding Security in Smart City Domains From the ANT-Centric Perspective

A city is a large human settlement that serves the people who live there, and a smart city is a concept of how cities might better serve their residents through new forms of technology. In this paper, we focus on four major smart city domains according to Maslow’s hierarchy of needs: smart utility, smart transportation, smart homes, and smart healthcare. Numerous IoT applications have been developed to achieve the intelligence that we desire in our smart domains, ranging from personal gadgets such as health trackers and smart watches to large-scale industrial IoT systems such as nuclear and energy management systems. However, many of the existing smart city IoT solutions can be made better by considering the suitability of their security strategies. Inappropriate system security designs generally occur in two scenarios: first, system designers recognize the importance of security but are unsure of where, when, or how to implement it; and second, system designers try to fit traditional security designs to meet the smart city security context. Thus, the objective of this paper is to provide application designers with the missing security link they may need in order to improve their security designs. By evaluating the specific context of each smart city domain and the context-specific security requirements, we aim to provide directions on when, where, and how they should implement security strategies and the possible security challenges they need to consider. In addition, we present a new perspective on security issues in smart cities from a data-centric viewpoint by referring to the reference architecture, the Activity-Network-Things (ANT)-centric architecture. This architecture is built upon the concept of “security in a zero-trust environment", to achieve end-to-end data security. By doing so, we reduce the security risks posed by new system interactions or unanticipated user behaviors while avoiding the hassle of regularly upgrading security models.

Small modular reactors for green remote mining: A multi-objective optimization from a sustainability perspective

Nuclear energy sources, in particular the small modular reactor (SMR), are being recognized as low-emission clean energy sources. The development of SMRs has focused on minimizing their carbon footprint while ensuring that energy is generated in a safe and cost-competitive manner, which leads to a worldwide growing interest in SMR deployments. In addition, there is a strong demand for renewable energy sources; however, their output can be influenced significantly by weather and location. Therefore, integration of renewable energy sources with SMRs and an energy storage system, which results in a nuclear renewable hybrid energy system (NR-HES), is required to improve power generation reliability. NR-HES represents a promising energy system solution for off-grid communities and industries, especially those involving remote mining sites. In the present study, an off-grid NR-HES to meet electrical and thermal demands is considered for the Victor mine site in northern Ontario, Canada. Off-grid remote mines in Canada primarily rely on diesel generators. The proposed NR-HES is composed of SMR units with a thermal capacity of 15 MWth each, two wind turbines with a capacity of 2.3 MWe each, a two-tank molten salt thermal storage system, a hydrogen storage facility, and peaking diesel generators. To achieve a near-zero-emission mining site, electric vehicles are proposed in the mining site energy demand structure. A transient thermodynamics model is developed to simulate the NR-HES and generate hourly variation of sustainability performance parameters that include power cycle efficiency, SMR capacity factor, round-trip efficiency of the storage systems, thermal storage state of charging, and greenhouse gas emissions. In addition, an economic analysis is performed to determine the additional annualized cost of the system relative to a baseline site. The simulation has a test matrix of 16 runs with various combinations of design input parameters, namely SMR thermal power, storage duration (e.g., daily, seasonally, or monthly), and thermal storage system volume. Grey relational analysis (GRA) is used as a level-based multi-objective optimization technique to determine the nearest optimal design parameter (e.g., decision variable) combination within the test matrix and thus the optimal configuration. In addition, the GRA ranks the design input parameters based on how significantly each parameter can affect the overall performance of the NR-HES. Results revealed that optimal sustainable perspectives have a significant influence on the overall system parameters and performance. For instance, the results showed that there is an opportunity to achieve a reduction in greenhouse gas emissions by 94.8% with a minimal impact to system annualized cost if the cost and environmental effect objectives were prioritized over other sustainability performance parameters.

Potential of tropical expansive clays as natural sealing layer in nuclear waste repository system: a preliminary study

The issue of radioactive waste disposal in Malaysia is frequently debated, particularly in terms of human and environmental long-term well-being. The creation of a repository with minimal hazard risk and cost implications is a major environmental concern related to nuclear waste. Expansive clay has distinct characteristics that are readily available in the environment and can serve as a natural barrier (sealing system) against the migration of radioactive and chemical pollutants. In this study, the physico-chemical and microstructural properties of 2 types of tropical soils with dominant clays mineral (vermiculite and montmorillonite) were investigated to better understand the potential of these clays as natural sealing in nuclear waste repository systems. Based on preliminary findings, both types of soil have been classified as alkaline soil (>7) with high swelling capacity (FSI) (>80%) and high consistency (LL>50%; PI>30%). The microstructural study demonstrates that vermiculite clays have a noticeable flaky morphology and a porous structure as compared to montmorillonite, indicating that the soil can absorb more water, hence decreasing its infiltration capability. Pinhole dispersion analysis reveals that montmorillonite clay is more prone to dispersion due to the presence of sodium ions and has a higher erosion potential than vermiculite clay. Future Malaysian stakeholders may employ this research to establish a long-term plan for the management of radioactive waste through the usage of natural resources.

A review of rice male sterility types and their sterility mechanisms

Male sterility plays an important role in the utilization of heterosis in rice. The establishment of male sterile lines in rice is one of the key technologies in hybrid rice production systems. The currently widely used male sterile line breeding systems mainly include: three-line hybrid rice based on cytoplasmic male sterility, two-line hybrid rice based on environmental sensitive gene male sterility, and third-generation hybrid rice based on nuclear gene male sterility Seed production system. This study reviewed the types and mechanisms of male sterility in rice, and looked forward to the development direction of hybrid rice.

а- бөлшектердің 9Be ядросымен соқтығысу кезіндегі серпімді шашырауының жаһандық заңдылықтары

The article investigates the characteristics of the experimental data of the elastic scattering cross section in the low-energy range of the a+9Be nuclear system. General regularities depending on the change in the energy of accelerated ions of the parameters of the obtained cross sections are established. Based on the analysis in the framework of the optical model (OM), energy-dependent optical interaction potentials in a wide range of energies were found.The energy regularity of potentials, revealed as a result of systematic analysis, makes it possible to predict with sufficient accuracy the cross-section of processes at energies at which experimental measurements were not carried out.The potential, which is a complex function of the interaction between nuclei, is an empirical measurement that describes the interaction in the scattering process.Studies of the dependence of the potential on external factors should be carried out individually for each nuclear system. Such analyses carried out in order to improve the accuracy of phenomenological theories should be based on a large array of experimental data. To clarify the truthfulness of the results of phenomenological approaches, it would be theoretically more correct to determine the global patterns of potentials and energy dependences of the full reaction cross-section.The article defines the energy dependence of the potentials and the total cross-section of the reaction based on a systematic analysis of the experimental data set in the energy range of laboratory Elab=30 - 60 MeV for the α+9Be process.Optimal values of the cross-section parameters satisfying global laws depending on the energy of the accelerating beam are found.

Achieving Minimum Deterrence: A New Dyadic Dataset on Strategic Nuclear Weapons Delivery Capabilities

This paper argues that existing quantitative studies mistakenly assume that all nuclear states can impose nuclear destruction on opponents by simply distinguishing nuclear states from non-nuclear states. This practice, however, does not capture variation in 1) nuclear states’ possession of delivery capabilities, 2) the range of deployed nuclear delivery systems, and 3) the geographic distance between nuclear states and their dyadic counterparts. Instead of this monadic nuclear statehood approach, I propose the dyadic nuclear reach approach, which uses a new dyad-specific measure of states’ strategic nuclear delivery capabilities. It codes whether a nuclear state can launch a nuclear strike against a given opponent by using the information about the estimated range of each nuclear state’s strategic nuclear delivery platforms, nuclear operation bases, and states’ capital cities. An empirical application shows that using an appropriate measure of nuclear capabilities does significantly alter existing empirical knowledge of nuclear weapons and international conflict.

ROLE OF COGNITIVE EMOTION REGULATION STRATEGIES AND FAMILY STRUCTURE AS DETERMINANTS OF AGGRESSION IN PAKISTANI ADOLESCENTS

While cognitive emotion regulation strategies are viewed as mental approaches which impact emotionality and decision making of individuals, they are also viewed as mechanisms for controlling the level of aggression. This purpose of the present study was to assess the role of cognitive emotion regulation strategies as well as family structure with regard to impacting aggression in Pakistani adolescents. A sample of 300 (150 belonging to joint and 150 belonging to nuclear families) adolescents (aged 13-18 years) was recruited from schools in urban and rural areas of Pakistan. The participants completed questionnaires assessing cognitive emotion regulation strategies, family structure, and aggression levels. SPSS 21.0 and associated interventions were used for data analysis. reappraisal and refocus on planning had a significant negative association with physical and verbal aggression. However, cognitive emotional regulation strategies including self-blame, others blame, catastrophizing and other disruptive strategies were positively associated with physical and verbal aggression. It was also found that adolescents raised in nuclear family system used more disruptive strategies including rumination, catastrophizing, self-blame, others blame along with higher levels of verbal aggression and hostility while adolescents belonging to joint family systems used acceptance, positive refocusing, putting into perspective along with having a higher emphasis on planning which further allowed them to minimize their aggression. Keywords: family structure, joint family and aggression, nuclear family and aggression, cognitive emotional regulation strategies, hostility, anger

ROLE OF COGNITIVE EMOTION REGULATION STRATEGIES AND FAMILY STRUCTURE AS DETERMINANTS OF AGGRESSION IN PAKISTANI ADOLESCENTS

While cognitive emotion regulation strategies are viewed as mental approaches which impact emotionality and decision making of individuals, they are also viewed as mechanisms for controlling the level of aggression. This purpose of the present study was to assess the role of cognitive emotion regulation strategies as well as family structure with regard to impacting aggression in Pakistani adolescents. A sample of 300 (150 belonging to joint and 150 belonging to nuclear families) adolescents (aged 13-18 years) was recruited from schools in urban and rural areas of Pakistan. The participants completed questionnaires assessing cognitive emotion regulation strategies, family structure, and aggression levels. SPSS 21.0 and associated interventions were used for data analysis. reappraisal and refocus on planning had a significant negative association with physical and verbal aggression. However, cognitive emotional regulation strategies including self-blame, others blame, catastrophizing and other disruptive strategies were positively associated with physical and verbal aggression. It was also found that adolescents raised in nuclear family system used more disruptive strategies including rumination, catastrophizing, self-blame, others blame along with higher levels of verbal aggression and hostility while adolescents belonging to joint family systems used acceptance, positive refocusing, putting into perspective along with having a higher emphasis on planning which further allowed them to minimize their aggression. Keywords: family structure, joint family and aggression, nuclear family and aggression, cognitive emotional regulation strategies, hostility, anger

Numerical study on the heat transfer characteristics of a microchannel heat exchanger with liquid lead–bismuth eutectic and supercritical CO2 as working fluids

The Lead-cooled Fast Reactor (LFR) is a promising option for fourth-generation nuclear energy systems, with the supercritical carbon dioxide (sCO2) Brayton cycle being the preferred power cycle for future nuclear energy systems. Lead-bismuth eutectic (LBE) is a more suitable reactor coolant than lead due to its lower melting point. High-efficiency microchannel heat exchanger (MCHE) may be an ideal choice for the intermediate heat exchanger (IHX) in liquid lead–bismuth fast reactors. To prevent the channels of MCHE from being blocked by liquid LBE, a new structure of MCHE is proposed, in which the liquid LBE flow channel has a large equivalent diameter and corresponds to two sCO2 microchannels. In this study, the heat transfer characteristics of conventional and new structures of MCHE were investigated using numerical simulation. The results indicate that the temperature change at the inlet of the liquid LBE channel enhances the heat transfer of both liquid LBE and sCO2. Under constant temperature and pressure, the velocity of sCO2 has a significant effect on the convective heat transfer of sCO2, but has little effect on liquid LBE. Based on the reliability of equipment operation, this study recommends the use of the heat exchanger form in case 5. Compared with case 3, altering the velocity of liquid LBE results in a 7.1–8.3% increase in the convective heat transfer coefficient of liquid LBE, and a ∼38% increase in the convective heat transfer coefficient of sCO2. Similarly, changing the velocity of sCO2 leads to a 6.1–7.5% increase in the convective heat transfer coefficient of liquid LBE, and a 32.8–38.0% increase in the convective heat transfer coefficient of sCO2. For sCO2 heat transfer calculation, Yoon's heat transfer correlation is recommended, while Kirillov's heat transfer correlation is suggested for liquid LBE heat transfer calculation. The deviation between numerical calculation results and correlations is less than 18.1% and 12.7%, respectively.

Verification of a novel fuel burnup algorithm in the RAPID code system based on Serpent-2 simulation of the TRIGA Mark II research reactor

The Real-time Analysis for Particle-transport and In-situ Detection (RAPID) Code System, developed based on the Multi-stage Response-function Transport (MRT) methodology, enables real-time simulation of nuclear systems such as reactor cores, spent nuclear fuel pools and casks, and sub-critical facilities. This paper presents the application of a novel fission matrix-based burnup methodology to the well-characterized JSI TRIGA Mark II research reactor. This methodology allows for calculation of nuclear fuel depletion by combination and interpolation of RAPID's burnup dependent fission matrix (FM) coefficients to take into account core changes due to burnup. The methodology is compared to experimentally validated Serpent-2 Monte Carlo depletion calculations. The results show that the burnup methodology for RAPID (bRAPID) implemented into RAPID is capable of accurately calculating the keff burnup changes of the reactor core as the average discrepancies throughout the whole burnup interval are 37 pcm. Furthermore, capability of accurately describing 3D fission source distribution changes with burnup is demonstrated by having less than 1% relative discrepancies compared to Serpent-2. Good agreement is observed for axially and pin-wise dependent fuel burnup and nuclear fuel nuclide composition as a function of burnup. It is demonstrated that bRAPID accurately describes burnup in areas with high gradients of neutron flux (e.g. vicinity of control rods). Observed discrepancies for some isotopes are explained by analyzing the neutron spectrum. This paper presents a powerful depletion calculation tool that is capable of characterization of spent nuclear fuel on the fly while the reactor is in operation.

A Multi-Scale method for combined design and dispatch optimization of nuclear hybrid energy systems including storage

Reliable, carbon-free power generation is increasing in importance. Nuclear-renewable hybrid energy systems (NHES) are a potential solution for current generation challenges, but design and dispatch optimization for these systems remains challenging particularly when stochastic effects, long time horizons and nonlinear modeling are needed. This work presents a multi-scale method for combining the design and dispatch optimization problems for nonlinear NHES over long time horizons. Rather than treating the entire horizon as a single optimization problem, a large number of combined optimization problems are solved for shorter samples of the horizon resulting in distributions of optimal capacities for each of the capacities being optimized. The distributions are then aggregated, and the techno-economics of each aggregate is analyzed. The result is a contextual knowledge about the techno-economic tradeoffs for the system rather than a single set of optimal capacities. This method is applied to two NHES of varying complexity. Results indicate that unit capacities for a grid-connected district energy system can be reduced by at least 18.9% by allowing for 3 periods of power import over the course of a 2000 day dispatch. The algorithm is used to solve combined optimization problems with dispatch horizons 112.5 times longer than are solvable directly.

Appraisal of Eating Disorders in Females of Reproductive Age by Using Scoff Questionnaire

Background: Unhealthy, jumbled eating habits and irregular eating behavior, often associated with body image and weight concerns, are known as abnormal eating behaviors. Anorexia nervosa, bulimia nervosa, and binge eating disorders are common disordered eating behaviors. Females are more likely than males to experience eating disorders. Objective: The research was conducted to determine the frequency of eating disorders in women of reproductive age group and identify the factors associated with it. Methods: It was a cross-sectional study carried out at Central Park Medical College, Lahore. Non-probability convenient sampling technique was used to collect data from 196 females of the reproductive age group (15-49 years) using the Scoff Questionnaire. Binary logistic regression was applied to observe the association of eating disorders with non-communicable diseases (NCDs). SPSS version 26 was used for data analysis. Results: About 82.8% of the females belonged to urban areas and out of those 44.5% had an eating disorder. Binary logistic regression analysis indicated that the odds of developing eating disorders were 85% high for obese women. Approximately 12.6% of the females agreed or strongly agreed that they overeat. Overeating was observed as a statistically significant associated factor with eating disorder (p value=0.048). Conclusion: Approximately 45.5% of the females were identified as either having anorexia nervosa or bulimia. Females living in cities and nuclear family systems had a higher percentage of eating disorders.

Dispersion and Radiation Modelling in ESTE System Using Urban LPM

In cases of accidental or deliberate incidents involving a harmful agent in urban areas, a detailed modelling approach is required to include the building shapes and spatial locations. Simultaneously, when applied to crisis management, a simulation tool must meet strict time constraints. This work presents a Lagrangian particle model (LPM) for computing atmospheric dispersion. The model is implemented in the nuclear decision support system ESTE CBRN, a software tool developed to calculate the atmospheric dispersion of airborne hazardous materials and radiological impacts in the built-up area. The implemented LPM is based on Thomson’s solution for the nonstationary, three-dimensional Langevin equation model for turbulent diffusion. The simulation results are successfully analyzed by testing compatibility with Briggs sigma functions in the case of continuous release. The implemented LPM is compared with the Joint Urban 2003 Street Canyon Experiment for instantaneous puff releases. We compare the maximum concentrations and peak times measured during two intensive operational periods. The modeled peak times are mostly 10–20% smaller than the measured. Except for a few detector locations, the maximum concentrations are reproduced consistently. In the end, we demonstrate via calculation on single computers utilizing general-purpose computing on graphics processing units (GPGPU) that the implementation is well suited for an actual emergency response since the computational times (including dispersion and dose calculation) for an acceptable level of result accuracy are similar to the modeled event duration itself.