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Full Description
The text covers emerging technologies and innovations in the field, such as hybrid solar thermal systems, advanced materials for collectors, novel heat storage solutions, and advancements in concentrating solar power (CSP) technologies. It presents artificial intelligence and machine learning techniques for solar thermal system optimization.
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-effectiveness
Provides 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 systems
Covers 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 optimization
Presents 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 generation
Introduces 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 systems
This 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.
Contents
1. Smart Solar Thermal Energy Technologies: Applications and Future Directions. 2. Application of Machine Learning in Greenhouse-Type Solar Dryer Systems: A Review. 3. Application of IoT in Solar Dryer Design. 4. Computer Based Interface System for Online Testing of Parameters for Solar Dryers. 5. Artificial Intelligence-Based Predictive Modelling for Accurate Solar Power Generation: The Comparison between SVR, ANN, and RFR Approaches. 6. Optimization of Solar Energy using a Dual Axis Solar Panel Tracking and Monitoring System. 7. Optimized Design and Modelling of a 4KW Hybrid Solar EV Charging Station. 8. Performance Assessment of 5-Level Inverter for Solar Photovoltaic Systems. 9. Environmental Performance evaluation of an Agrivoltaic system in a hot arid region. 10. Next Generation Solar Power Plants: Technological Developments, Challenges and Future Aspects. 11. Novel Hybrid Materials for Next-Generation Sustainable Solar Cells. 12. Solar Thermal Collectors for Decentralized Cooking: A Review of Design and Implementation Strategies. 13. Review of Advances in Solar Dryer Design and Technologies. 14. Wind Solar Hydrogen Hybrid Energy Generation System Prospects.
