Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems
暫譯: 可持續能源系統中熱傳遞優化的人工智慧與機器學習

Heeraman, Jatoth, Barmavatu, Praveen

Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems
  • 出版商: CRC
  • 出版日期: 2026-03-31
  • 售價: $6,610
  • 貴賓價: 9.8 折 $6,477
  • 語言: 英文
  • 頁數: 372
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041089694
  • ISBN-13: 9781041089698
  • 相關分類: Machine Learning、熱力學 Thermodynamics

    • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

《人工智慧與機器學習在熱傳遞優化中的應用於可持續能源系統》探討如何利用人工智慧（AI）和機器學習（ML）驅動的方法來增強能源系統中的熱傳遞過程，例如工業熱回收、暖通空調系統（HVAC）和可再生能源發電，並著重於可持續性。

本書探索可持續能源系統、可再生資源和智慧電網中的應用，提出智能控制方法、預測建模、實時數據分析和基於深度學習的熱管理。它涵蓋了AI驅動的熱傳遞監測，這對於超越可持續性的各種應用至關重要，包括工業生產、航空航天、汽車和電子冷卻。各章節展示了在熱交換器、發電廠和可再生能源系統中實施AI/ML的眾多案例研究。

本書將吸引研究人工智慧、機器學習與熱傳遞優化在能源系統中交集的研究人員和研究生。

作者簡介

Dr. Jatoth Heeraman is an Assistant Professor of Mechanical Engineering at Malla Reddy (MR) Deemed to be University, Hyderabad, India. He received his Ph.D. in Mechanical Engineering from Lovely Professional University, India in 2024 and earned his M.Tech (Thermal Engineering) and B.Tech (Mechanical Engineering) degrees from JNTUH, Hyderabad, India. With over eight years of academic and research experience, his doctoral work focused on experimental heat transfer enhancement in heat exchangers. He has contributed over 25 journal articles and holds 25 Indian patents (published) and one UK patent. His research interests include high-speed flows, renewable energy systems, and AI/ML-enabled CFD.

Dr. Praveen Barmavatu is an Assistant Professor of Mechanical Engineering at Universidad Tecnológica Metropolitana (UTEM), Santiago, Chile. He earned his Ph.D. in Mechanical Engineering in 2019 and holds M.Tech and B.Tech degrees from JNTUH, Hyderabad, India, along with a Diploma in Mechanical Engineering. His research focuses on heat exchangers, thermal energy storage, solar thermal systems, and AI/ML-based optimization. He has published over 110 journal articles, holds several patents, and has contributed to international projects funded by ANID FONDECYT (Chile), DRDO (India), and KFUPM (Saudi Arabia).

作者簡介(中文翻譯)

Jatoth Heeraman 博士是印度海得拉巴 Malla Reddy (MR) 大學機械工程系的助理教授。他於2024年在印度 Lovely Professional University 獲得機械工程博士學位，並在印度海得拉巴的 JNTUH 獲得熱能工程碩士學位和機械工程學士學位。擁有超過八年的學術和研究經驗，他的博士研究專注於熱交換器中的實驗性熱傳遞增強。他已發表超過25篇期刊文章，並擁有25項已公開的印度專利和一項英國專利。他的研究興趣包括高速流動、可再生能源系統以及基於人工智慧/機器學習的計算流體力學（CFD）。

Praveen Barmavatu 博士是智利聖地亞哥 Universidad Tecnológica Metropolitana (UTEM) 的機械工程助理教授。他於2019年獲得機械工程博士學位，並擁有來自印度海得拉巴 JNTUH 的碩士和學士學位，以及機械工程文憑。他的研究專注於熱交換器、熱能儲存、太陽能熱系統以及基於人工智慧/機器學習的優化。他已發表超過110篇期刊文章，擁有多項專利，並參與由 ANID FONDECYT（智利）、DRDO（印度）和 KFUPM（沙烏地阿拉伯）資助的國際項目。

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