Iot kullanarak hibrit enerji sistemleri için akıllı bir izleme ağı

This thesis addresses the design, development, and implementation of a smart monitoring network for hybrid renewable energy systems using Internet of Things (IoT) technologies. The research aims to improve the efficiency, reliability, and performance of renewable energy integration through real-time monitoring and control. This thesis examines the design and implementation of a hybrid renewable energy system which integrates wind turbine and photovoltaic (PV) technologies to satisfy the growing demand for green energy. The approach is multidisciplinary, involving engineering, renewable energy systems, and information technology to design, simulate, and analyze performance of the hybrid system. Background, motivation for renewables integration and objectives of the study are presented in the introduction. To lay the ground for the next the research projects, the equally overview of the In order to build the foundation for the next research projects, a comprehensive overview of the literature is provided, including previous research on smart monitoring networks, hybrid energy systems, and Internet of Things-based energy management solutions. To prepare ground for the forthcoming research, a survey of the literature also incorporates reviewed works of smart monitoring networks, hybrid energy systems and IoT-based energy management solutions. Parameter extraction, Code Generation in MATLAB, and performance estimation Issue are widely described in the chapters of modeling and simulation of PV and WT systems. The hardware development chapter shows the design, and integration of sensors, converters, and control system constituents to effectively construct a network for the real-time monitoring of the hybrid energy system. The system's performance is thoroughly examined in the results chapters, which make use of visualizations from cloud platforms, smartphone application interfaces, and real-time monitoring data. The chapters offer insights into operational dynamics, system efficiency, and patterns of energy generation through in-depth analysis and visualization. In the practical implementation phase, hardware components are deployed to collect real-time data from the hybrid energy system. IoT-based communication protocols enable remote monitoring and control, facilitating optimization of energy generation, storage, and utilization. The research demonstrates the scalability and reliability of the monitoring network in improving the performance of hybrid renewable energy systems. In summary, by providing an extensive foundation to the design, implementation, and assessment of hybrid energy systems, this thesis adds to the rapidly expanding subject of renewable energy. The goal of the research is to promote an environmentally friendly and more resilient energy future by expediting the implementation of sustainable energy solutions by bridging the theory-practice divide.