Dynamic stability examination of perovskite solar cells: Application of numerical analysis, GAN and African vulture optimization algorithms

The most plentiful energy source, solar energy, can be used even while it's cloudy outside. Around 10,000 times more solar energy is being absorbed by the Earth than is being used by people. For several functions, solar systems may provide fuel, power, heat, cooling, and natural lighting. Solar technology may use photovoltaic panels or solar radiation-concentrating mirrors to turn sunlight into electrical energy. Multiple contexts may benefit from the utilization of solar energy. Hence, enhancing the natural frequency of such a system and comprehending its dynamics are crucial in the engineering sector. The objective of the present study is to reinforce the metal layer of solar cells with multi-phase hybrid nanocomposite materials in order to improve its natural frequency. Carbon fiber (CF) and carbon nanotube (CNT), which are reinforcements with macro- and nanoscale dimensions, respectively, are used to strengthen an aluminum matrix that makes up the final layer of the structure. The introduction of infinite and finite displacement fields simulates the compression applied to a solar panel that is either fully clamped or merely supported. The Kronecker tensor product utilizes the generalized differential quadrature method (GDQM) to resolve the dynamic response of the system. As well as numerical analysis, we highlight advanced methods such as Generative Adversarial Networks (GAN) and African Vulture Optimization (AVO) algorithms, used to address dynamic stability challenges in perovskite solar cells. After that, by coupling the mentioned algorithms, an innovative algorithm for solving the engineering problems is presented. By generating synthetic data and optimizing system performance, scientists aim to analyze dynamic stability, promoting broader adoption of perovskite solar cells in the renewable energy industry. Finally, the dynamics of the perovskite solar cells are then suggested to be enhanced by a variety of physical and geometrical factors utilizing the numerical analysis and methods previously discussed.