Electricity Generation of Dynamic Bifacial Solar Panels Using IoT

• Published in: 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) pp. 1605 - 1610
• Main Authors: P, Govindasamy, B, Ramraj, Singaram, Gopinath, P, Sasirekha, V, Sabarivelu, S, Rajan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 18.10.2023
• Subjects: Adam optimizer; Binary cross-entropy loss function; Density measurement; Electric potential; Energy efficiency; Multi-Layer Perceptron (MLP); Neural networks; Power system measurements; Radiation effects; Reliability; Solar panels
• DOI: 10.1109/ICSSAS57918.2023.10331709

Recently, there has been a surge in interest in photovoltaic (PV) panels with dual-sided capabilities. The increasing availability of bifacial photovoltaic (PV) modules on the market has resulted in higher energy generation capabilities as compared to traditional single-sided solar panels. Because of its increased ability to absorb and apply backside irradiation, this technology beats monofacial panels. Bifacial photovoltaic (PV) technology is a method of capturing light from both incidence and albedo surfaces. This process causes a rise in power density. Integration of these resources into the electrical system has the potential to improve energy efficiency and supply reliability. Bifacial modules have dual-sided qualities and are deliberately positioned to ensure alignment with the roof surface. This process prevents any reflected light from reaching the cells beneath. In comparison to conventional modules, bifacial modules have exhibited higher performance on flat corporate roofs and ground-mounted arrays. There is more spatial freedom in these settings for rotating the modules and redirecting the light to the back of the modules. The goal of this research is to assess the efficacy of bifacial solar panels in Qatar's winter and summer climates.