The world’s energy demand is on the rise, leading to an increased focus on renewable energy options due to global warming and rising emissions from fossil fuels. To effectively monitor and maintain these renewable energy systems connected to electrical grids, efficient methods are needed. Early detection of PV faults is vital for enhancing the efficiency, reliability, and safety of PV systems. Thermal imaging emerges as an efficient and effective technique for inspection. On the other hand, evidence indicates that monitoring inverters within a solar energy farm reduces maintenance expenses and boosts production. Optimizing the efficiency of solar energy farms necessitates comprehensive analytics and data on every inverter, encompassing voltage, current, temperature, and power. In this study, our objective was to perform two distinct fault analyses utilizing image processing techniques with thermal images and machine learning techniques using inverter and other physical data. The results show that hotspot and bypass failures on the panels can be detected successfully using these methods.

There are different types of airfoil used in many applications such as energy production, aerospace, mixing of fluid products. Design optimization studies are still being carried out on the airfoil type structures. The airfoil section is the most important factor affecting the quality and efficiency of the performed work. The aim of this study is the optimization of the airfoil shape to generate more lift than the original airfoil shape creates. For this purpose, Bézier curves are used to generate the airfoil polar points, XFOIL is used as a flow solver and MATLAB is used to create optimization codes using the genetic algorithm. The results show that the created optimal airfoil shape produces more lift than the original airfoil shape. In this study, design optimization studies are supported by flow analysis using ANSYS Fluent.

This study deals with the dynamic behavior of a symmetric laminated composite beam subjected to a concentrated force traveling at a constant velocity. The dynamic analyses for a fixed-fixed composite beam under the action of a moving load are carried out by the finite element method. A three-dimensional finite element model based on the classical lamination theory is used. The Newmark integration method is employed in order to calculate the dynamic response. A computer code is developed using MATLAB to perform the finite element vibration analysis. The dynamic magnification, which is defined as the ratio between the dynamic and static displacements is obtained for different load velocities and ply orientations. The results reported in this paper show that load velocity and ply orientation have significant effect on the dynamic response, especially for those with [90]_2s lay-up. For a fixed-fixed beam, the maximum mid-point deflection is observed when the total traveling time is equal to the first natural period of the beam.