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Compared to moderate climate conditions, hot and dry environment, as known desert, present the most difficult environment that affects negatively PV panels performance. In the present paper, the root causes that have the major contribution in PV panel performance degradation in desert climates and the direct relationship between desert climate factors and accelerate degradation mechanism are analyzed. Algeria's desert is chosen as a case to study, an overview of Algeria's desert climate has been presented. High solar irradiation accompanied by high ambient temperature has been considered as the most responsible for accelerated discoloration and initiating damage of EVA encapsulant material which can create a challenge for long-term reliability of c-Si PV panels. The declared 20–25 year PV panel lifetime is very optimistic in Algeria's desert climates. This research work can be beneficial in future studies on challenges related to the optimal performance and the expected operating lifetime of photovoltaic applications in desert climates.

This article examines a new powertrain system for electric vehicles based on the dual-star induction machine, presented as a promising option due to its significant advantages in terms of performance, energy efficiency, and reliability. This system could play a key role in the evolution of electro-mobility technology. The dual-star induction machine reduces electromagnetic torque fluctuations, limits current harmonics, improves power factor, and enables half-speed operation. Our study focuses on the control strategy and operation of the traction chain for electric vehicles propelled by the dual-star induction machine (DSIM) using Matlab software with version 2017. We integrate the battery as the main energy source, along with three-level static converters for energy conversion in the vehicle’s four operating quadrants. We have opted for sliding mode control, which has proven to be feasible and robust against external disturbances. Although we have modeled driver behavior, we consider it as an aspect of control, to which we add the driving profile to guide our evaluation of the control to be used for vehicle operation. The results of our study demonstrate the reliability and robustness of DSIM for electric vehicle motorization and speed control. Promoting this technology is essential to improve the overall performance and efficiency of electric vehicles, especially in traction and braking modes for energy recovery. This underscores the importance of DSIM in the sustainable development of the electric transportation system.