Computational Intelligence, and Smart Technologies in Solar Thermal Systems (Solar Thermal Energy Systems)

Key Features:Discusses the use of smart technologies such as artificial intelligence and machine learning in transforming solar thermal systems by enhancing their efficiency, reliability, and cost-effectivenessProvides insights into optimization techniques for online testing of parameters for solar dryers, AI-based predictive modeling for accurate solar power generation, dual-axis solar panel tracking and monitoring systems, IoT in solar dryer design, and greenhouse-type solar dryer systemsCovers state-of-the-art computational models used in optimizing solar thermal systems, such as neural networks, genetic algorithms for predictive modeling, control strategies, and system optimizationPresents case studies and examples of implementations of computational intelligence and smart technologies in solar thermal applications, having real-time applications in a 4kW hybrid solar EV charging station, of five-level inverter for solar photovoltaic systems, agrivoltaic systems, and wind-solar-hydrogen hybrid energy generationIntroduces simulation and modeling tools used in the design, analysis, and performance evaluation of solar thermal collectors for decentralized cooking, next-generation solar power plants, and hybrid energy generation systemsThis book is primarily written for senior undergraduates, graduate students, and academic researchers in mechanical engineering, energy engineering, computer science and engineering, renewable energy, solar energy, and clean technologies.

Rapidgator
0907m.7z.html
DDownload
0907m.7z
FreeDL
0907m.7z.html
AlfaFile
0907m.7z