Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems

Jatoth Heeraman, Praveen Barmavatu

• Publisher: CRC Press
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9781040622544
• Subtopic: Energy
• Index: Computer Science

Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems examines how to use AI/ML-driven methodologies to enhance heat transfer processes in energy systems, such as industrial heat recovery, HVAC systems, and renewable energy generation, with a focus on sustainability.

Exploring applications in sustainable energy systems, renewable resources, and smart grids, the book presents intelligent control methodologies, predictive modeling, real-time data analysis, and thermal management with deep learning. It covers AI-driven heat transfer monitoring, which is critical for a variety of applications beyond sustainability, including industrial production, aerospace, automotive, and electronics cooling. The chapters feature numerous case studies of AI/ML implementation in heat exchangers, power plants, and renewable energy systems.

This book will interest researchers and graduate students studying the intersection of AI, ML, and heat transfer optimization as applied to energy systems.

Table of contents

• Cover
• Half Title
• Title
• Copyright
• Contents
• Editors
• List of Contributors
• Preface
• Introduction
• Chapter 1 Introduction to Heat Transfer in Sustainable Energy Systems
• Chapter 2 Fundamentals of Artificial Intelligence in Heat Transfer Optimization
• Chapter 3 Thermal Systems and Energy Efficiency: Challenges and Opportunities
• Chapter 4 Artificial Intelligence Techniques for Modeling and Simulation in Heat Transfer
• Chapter 5 Machine Learning Approaches for Heat Transfer Prediction
• Chapter 6 Neural Network–Based Heat Transfer Optimization of Casson Nanofluid Flow for Sustainable Energy Applications
• Chapter 7 Computational Fluid Dynamics and Neural Networks for Combustion Systems
• Chapter 8 Artificial Intelligence–Driven Thermal Management in Solar Energy Systems
• Chapter 9 Artificial Intelligence–Driven Thermal Management in Wind and Hybrid Renewable Energy Systems
• Chapter 10 Real-Time Control of HVAC Systems Using Artificial Intelligence: Methodologies and Algorithms
• Chapter 11 Real-Time Control of HVAC Systems Using Artificial Intelligence: Applications
• Chapter 12 Big Data and Internet of Things for Heat Transfer Monitoring
• Chapter 13 Artificial Intelligence in Industrial Heat Recovery and Waste Heat Utilization
• Chapter 14 Deep Learning Architectures for Thermal Diagnostics
• Chapter 15 Hybrid Artificial Intelligence Techniques for Multiphysics Heat Transfer Problems
• Chapter 16 Artificial Intelligence for Achieving Net-Zero Energy: Sustainability Pathways
• Chapter 17 Future Trends: Quantum Computing and Reinforcement Learning in Heat Transfer
• Index