mohammadbagher ghofrani

There are different parameters such as increase or decrease of heat removal from primary circuit which affect the coolant mixing phenomena in the vessels of pressurized water reactors (PWRs). Determination of mixing level is very important from reactor safety and control aspects. In this study, the thermal hydraulic test of coolant mixing within the reactor pressure vessel of Bushehr nuclear power plant (BNPP) has been simulated (3-D modeling) using ANSYS CFX 18.0. In this test, the fluid mixing due to primary circuit heat removal decrease has been investigated and the goal of this research has been defined as finding the coolant temperature distribution, computing the primary circuit loops mixing coefficients and other thermal hydraulic parameters of coolant in the whole reactor zones specially the reactor core which is the most important. To achieve this, the geometry of whole reactor considering all components have been modeled and the governing equations of reactor flow field (the Reynolds Averaged Navier-Stokes equations utilizing SST k-ω turbulence model) have been solved in CFX. Comparison of simulation results and experimental results of BNPP startup test shows the average error of 6.45 % and 10.92 % for mixing coefficient of loops and core inlet, respectively. According to the implemented simplifications, the results have good accuracy.

Repeated transcranial magnetic stimulation (rTMS) is an important non-invasive technique with several protocols to treat a wide variety of neural disorders. This method utilizes a strong power supply to discharge high currents in a single or dual flat spiral coil with specific characterizations. It makes a magnetic field that promotes neuroplasticity by applying the field distribution on the appropriate brain zone and requires adjusting time and frequency relating to intervention protocols.

This study investigates components of an rTMS machine to describe development approaches to increase performance, specifically in the binary mode of recovering proportionally with brain and heart signals.

The proposed method achieves an rTMS and probe-set coil prototypes whose performance is approved with some statistical modelings and experiments analysis.

Results show that the physical properties of the coil are proportional to the power supply effect and the magnetic field distribution in front of the probe set.

By clarifying the mechanism of oscillator switching modes and the location of the processing unit in rTMS, this paper is directed to utilize external sensors to create a smart stimulator with touch EEG or ECG signals through the most accurate intervention.

During recent years, restructuring of energy systems has been triggered as a drastic movement by many countries. Relevant experiences show that pure market mechanism will not ensure long-term demand satisfaction and optimal expansion of the supply system. Therefore, expansion planning of the energy supply system is considered as a fundamental issue in the restructuring studies. Unlike conventional systems, Competitive condition makes planning more complex in new systems. Analysis of recent studies in long-term energy system development shows that the market equilibrium evaluation is an effective and useful technique that is used to analyze the optimum condition of the energy supply system. In this paper, basically a Nash-Cornet Market Equilibrium model has been suggested to predict long-term expansion of the electricity generation system. Conventional version of this technique is very complex due to high span of existing dataset and variables, so one may not find a clear solution to solve it. Thus, to find an approximate solution for the suggested model, an algorithm based a combination of static and dynamic equilibrium planning methods has been established. Discounted net profit has been considered as a goal function for each generation company to be maximized during the long-term horizon. Implementation of the algorithm and its case study results over a hypothetical power generation system are presented.