Computational Intelligence, and Smart Technologies in Solar Thermal Systems
eBook - ePub

Computational Intelligence, and Smart Technologies in Solar Thermal Systems

Principles and Applications

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Computational Intelligence, and Smart Technologies in Solar Thermal Systems

Principles and Applications

About this book

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.

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Yes, you can access Computational Intelligence, and Smart Technologies in Solar Thermal Systems by Bharti Sharma,Utku Kose,Varun Pratap Singh,Ashwani Kumar in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Aim and Scope
  8. Preface
  9. About the Editors
  10. List of Contributors
  11. Acknowledgment
  12. 1 Smart Solar Thermal Energy Technologies: Applications and Future Directions
  13. 2 Application of Machine Learning in Greenhouse-Type Solar Dryer Systems: A Review
  14. 3 Application of IoT in Solar Dryer Design
  15. 4 Computer-Based Interface System for Online Testing of Parameters for Solar Dryers
  16. 5 Artificial Intelligence-Based Predictive Modeling for Accurate Solar Power Generation: The Comparison between SVR, ANN, and RFR Approaches
  17. 6 Optimization of Solar Energy Using a Dual-Axis Solar Panel Tracking and Monitoring System
  18. 7 Optimized Design and Modeling of a 4kW Hybrid Solar EV Charging Station
  19. 8 Performance Assessment of Five-Level Inverter for Solar Photovoltaic Systems
  20. 9 Environmental Performance Evaluation of an Agrivoltaic System in a Hot Arid Region
  21. 10 Next-Generation Solar Power Plants: Technological Developments, Challenges, and Future Aspects
  22. 11 Novel Hybrid Materials for Next-Generation Sustainable Solar Cells
  23. 12 Solar Thermal Collectors for Decentralized Cooking: A Review of Design and Implementation Strategies
  24. 13 Review of Advances in Solar Dryer Design and Technologies
  25. 14 Wind Solar Hydrogen Hybrid Energy Generation System Prospects
  26. Index