Publisher finelybook 出版社: World Scientific Publishing
Publication Date 出版日期: March 2, 2026
Language 语言: English
Print length 页数: 300 pages
ISBN-10: 981982043X
ISBN-13: 9789819820436
Book Description
As the global push toward a "green energy transition" accelerates, this book offers a critical reassessment of the path to Net Zero. Unlike past energy revolutions grounded in physical laws — such as the mastery of fire or the atomic age — today's transition is driven largely by policy mandates, subsidies, and climate alarm. Energy Transitions: The Energy-AI Nexus argues that this policy-first approach risks unintended consequences, including global energy scarcity and economic contraction, especially in the absence of scalable alternatives to fossil fuels.
Drawing on deep historical analysis, physical principles like energy density and entropy production, and sobering emissions data, the book reveals that global CO2 emissions have continued to rise — despite more than $10 trillion spent on green initiatives. Instead of pursuing pre-industrial energy paradigms, the book proposes a realistic path to Net Zero: a nuclear energy transition empowered by artificial intelligence. AI is reframed not just as a high-consumption technology, but as a key enabler in managing complex, distributed energy systems. With sharp insights and evidence-based critique, it redefines the debate on climate, energy, and innovation — calling for realism, urgency, and a reorientation of strategy.
Energy Transitions is essential reading for policymakers, technologists, energy analysts, and critical thinkers. Blending insights from climate policy, energy engineering, AI systems, and economic modeling, this book challenges conventional climate narratives and offers a blueprint for a more realistic, resilient energy future.
Editorial Reviews
About the Author
Lefteri H Tsoukalas is a professor of nuclear engineering at Purdue University. He is the principal author of the textbooks Fuzzy and Neural Approaches in Engineering (John Wiley & Sons, 1997) and Fuzzy Logic: Applications in Artificial Intelligence, Big Data and Machine Learning (McGraw Hill, 2023). At Purdue, he co-chairs the energy transition initiative of the College of Engineering called LEAPS, which stands for Leading Energy-Transition Advances and Pathways to Sustainability. His distinguished career includes serving as head of the School of Nuclear Engineering at Purdue; chairman of the United States Nuclear Engineering Department Heads Organization (NEDHO; and in various advisory and consulting positions for notable international and national organizations, including the International Atomic Energy Agency (IAEA), the OECD-Nuclear Energy Agency, the Agency for Science, Technology and Research (ASTAR) of Singapore, and the United States Department of Energy. He is a Fellow of the American Nuclear Society and a recipient of the Humboldt Prize, Germany's highest honor for international scientists.
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