Driven by growing electricity demand, Algeria is diversifying its energy mix with a focus on solar power. A successful transition requires robust climate analysis to guide decision makers and investments. This study investigated the influence of specific weather regimes (WRs) on Algeria’s energy sector, analyzing their summer impacts on solar production, energy demand, and the resulting energy shortfall, expressed as the daily difference between demand and potential solar generation. We further examined the occurrence of Energy Supply Droughts (ESDs), periods when this shortfall exceeds a critical threshold. It was observed that days with a negative North Atlantic Oscillation (NAO−) followed by an Atlantic Ridge (AR) generate a solar surplus and lower demand, creating ideal conditions for energy storage. Conversely, a positive North Atlantic Oscillation (NAO+) reduces production while increasing demand, frequently leading to ESD events. Although generally neutral, Scandinavian Blocking (BL) also contributes to ESDs by amplifying unfavorable energy anomalies. Notably, ESD events associated with NAO+ and BL show strong convergence with similar synoptic configurations and spatial structures. However, while WRs are useful for operational forecasting, predicting extreme ESDs requires an approach that directly targets extreme weather conditions.

The development of hyperthermia-based therapy for prostate cancer requires precise modeling of the thermal behavior of biological tissues. In order to simulate healthy tissue, this study creates a computational model of a prostate tumor that is shaped like a spherical area encircled by another concentric sphere. The investigation focuses on the effects of blood perfusion rate fluctuations on the temperature distribution and subsequent thermal damage in the surrounding tissue and tumor. The heating source is modeled as a collection of electric dipoles at the center of the tumor that are subjected to a microwave (2.45 GHz) alternating electromagnetic field. The temporal evolution of temperature and tissue necros is under varying perfusion rates is described using the Arrhenius damage model and the Pennes bioheat transfer equation. The findings contribute to the development of safer and more effective hyperthermia-based treatments for prostate cancer by offering a quantitative understanding of the effects of blood flow on heat diffusion and necrotic percentage