AI and Renewable Energy Storage Synergy: Fundamentals and Applications
暫譯: 人工智慧與可再生能源儲存的協同作用：基礎與應用
Ahmed, Naveed, Qaisrani, Mumtaz A.
商品描述
Renewable energy generation is crucial for sustainability but its inconsistency in availability requires better storage solutions. The fusion of renewable energy technologies with AI can yield positive outcomes, such as increased energy efficiency, reduced carbon emissions, improved grid stability, and optimized storage techniques and methods. This book provides a state-of-the-art perspective on thermal energy storage (TES) technologies integrated with renewable energy technologies and Artificial Intelligence (AI). It includes various case studies and practical applications that offer actionable insights for professionals and researchers in the field and addresses real-world challenges.
Features
- Provides a comprehensive overview of thermal energy storage methods and systems.
- Explains AI's role in enhancing thermal energy storage.
- Includes real-world case studies and discusses perspectives of how TES and AI contribute to sustainability.
- Addresses the integration of AI with digital twin technology, showcasing how AI algorithms can enhance the predictive accuracy and operational efficiency of digital twins in TES applications.
- Explores various AI-driven strategies and technologies that enhance the efficiency, reliability, and scalability of energy storage systems.
This book is for researchers, academics, and graduate students in Energy and Environmental Sciences, and those interested in renewable energy, AI, and energy storage. It's also an excellent reference for industry and government professionals, energy policy makers, and analysts.
商品描述(中文翻譯)
可再生能源的發電對於可持續性至關重要，但其可用性的不一致性需要更好的儲存解決方案。可再生能源技術與人工智慧（AI）的融合可以產生積極的結果，例如提高能源效率、減少碳排放、改善電網穩定性以及優化儲存技術和方法。本書提供了關於熱能儲存（TES）技術與可再生能源技術及人工智慧整合的最先進觀點。它包括各種案例研究和實際應用，為該領域的專業人士和研究人員提供可行的見解，並解決現實世界中的挑戰。
特點
- 提供熱能儲存方法和系統的全面概述。
- 解釋人工智慧在增強熱能儲存中的角色。
- 包含現實世界的案例研究，並討論熱能儲存與人工智慧如何促進可持續性的觀點。
- 討論人工智慧與數位雙胞胎技術的整合，展示人工智慧算法如何提高數位雙胞胎在熱能儲存應用中的預測準確性和運營效率。
- 探索各種以人工智慧驅動的策略和技術，增強能源儲存系統的效率、可靠性和可擴展性。
本書適合能源與環境科學的研究人員、學者和研究生，以及對可再生能源、人工智慧和能源儲存感興趣的人士。它也是行業和政府專業人士、能源政策制定者和分析師的優秀參考資料。
作者簡介
Naveed Ahmed is an Associate Professor at the US-Pakistan Center for Advanced Studies in Energy, National University of Sciences and Technology (NUST), Islamabad. He is an accomplished researcher in energy technologies with over 42 peer-reviewed journal publications, several book chapters, and a strong record of externally funded research projects. He has actively contributed to leading international conferences in the field of energy systems. With more than 10 years of combined postdoctoral and industrial experience, Dr. Ahmed has established himself as a recognized academic contributing to advancements in renewable energy and thermal energy storage research.
Mumtaz A. Qaisrani, a Tenured Assistant Professor, specializing in Energy Engineering with a focus on renewable energy, solar and wind systems, and energy efficiency. He has published over 30 papers in SCI journals in his field, and he has reviewed over 40 manuscripts for various publishers. As an Academic Editor for the International Journal of Energy Research (IF 4.6), he contributes to the scientific community. His diverse academic background and extensive experience drive holistic research advancements in Energy Engineering.
作者簡介(中文翻譯)
Naveed Ahmed 是巴基斯坦國立科技大學 (NUST) 能源高等研究中心的副教授，位於伊斯蘭堡。他是一位在能源技術領域頗具成就的研究者，擁有超過42篇經過同行評審的期刊出版物、數篇書籍章節，以及強大的外部資助研究項目記錄。他積極參與能源系統領域的國際會議。擁有超過10年的博士後及產業經驗，Ahmed 博士已成為公認的學者，對可再生能源及熱能儲存研究的進展做出了貢獻。
Mumtaz A. Qaisrani 是一位專任助理教授，專注於能源工程，特別是可再生能源、太陽能和風能系統以及能源效率。他在其領域的 SCI 期刊上發表了超過30篇論文，並為多家出版商審稿超過40篇手稿。作為《國際能源研究期刊》（影響因子 4.6）的學術編輯，他為科學社群做出貢獻。他多元的學術背景和豐富的經驗推動了能源工程領域的整體研究進展。
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