International Journal of Modern Research in Electrical and Electronic Engineering

On approach to increasing the density of field-effect heterotransistors in the framework of a level shifter: Influence of mismatch-induced stress and porosity of materials on the technological process

Evgeny Leonidovich Pankratov — 2025-03-17

In this paper, we introduce an approach to increase the density of field-effect heterotransistors in the framework of a level shifter. In the framework of the approach, we consider the manufacturing of the inverter in a heterostructure with a specific configuration. Several required areas of the heterostructure should be doped by diffusion or ion implantation to the required types of conductivity (p or n) to manufacture the recently described transistors. After that, dopants and radiation defects should be annealed in the framework of an optimized scheme. The optimized scheme leads to obtaining a maximal compromise between increasing the homogeneity of the concentration of dopants in the enriched area and increasing the speed of the decrease of dopant concentration after the enriched area. We also analyzed the influence of the porosity of materials of the heterostructure and mismatch-induced stress near the interfaces of the heterostructure on the technological process. At the same time, we consider an approach to decrease the value of mismatch-induced stress in the considered heterostructure. We present an analytical approach to analyze mass and heat transport in heterostructures during the manufacturing of integrated circuits with account for mismatch-induced stress. The approach gives the possibility to take into account spatial and temporal variations of the considered technological process at one time, as well as the nonlinearity of the appropriate processes.

Solar photovoltaic power predictive optimization for maximum power point tracking system using AI

Srinivas S — 2025-06-20

Solar tracking systems are commonly used in large-scale solar power installations, where maximizing energy production is crucial. By utilizing solar trackers, these systems can increase their energy output by up to 30% compared to fixed-tilt solar installations. These systems are more complex and expensive than fixed-tilt systems but can provide higher energy yields in locations with high solar insolation. The objective of solar power tracking systems is to maximize the capture of solar radiation by continuously adjusting the orientation and tilt of the solar panels. these systems can ensure that the solar panels receive the highest possible level of sunlight throughout the day. This optimized alignment allows for increased energy production and improved overall system performance. Two different ML approaches, such as support vector machine (SVM) and Gaussian process regression (GPR), were considered and compared. The basic input parameters, including solar PV panel temperature, ambient temperature, solar flux, time of day, and relative humidity. In this paper to showcase the effectiveness and accuracy of SVM and GPR models in forecasting solar PV power, the results of these models are compared using root mean squared error (RMSE) and mean absolute error (MAE) criteria.

A maximum power point tracking control for oscillating water column ocean wave energy converters

Adel Elgammal — 2025-06-20

The oscillating water column (OWC) is a leading technology for harnessing ocean wave energy, offering significant potential for renewable energy generation. This study proposes a novel maximum power point tracking (MPPT) control strategy aimed at improving the energy conversion efficiency of OWC-based ocean wave energy converters (OWECs) operating in variable and unpredictable sea states. The control system dynamically adjusts key operational parameters, such as turbine rotational speed, in real-time using feedback from wave height sensors and turbine speed controllers. By continuously tracking and adapting to changing wave conditions, the MPPT algorithm ensures that the OWEC operates at its optimal energy extraction point. Extensive simulation results demonstrate that the proposed MPPT strategy achieves a 25% increase in power output on average compared to conventional fixed-parameter control methods. The findings also show a reduction in mechanical stress on system components, leading to enhanced operational reliability and longer system lifespan. Furthermore, the MPPT control system exhibits robust performance across a range of wave frequencies and amplitudes, maintaining efficiency even under low-energy and irregular wave conditions. The proposed control approach is compatible with existing OWC platforms and can be implemented with minimal structural modifications, making it a scalable and cost-effective solution for advancing the commercial viability of ocean wave energy systems. The results underscore the importance of adaptive control in optimizing renewable energy harvesting from marine environments.