Artificial Intelligence in Sustainable Energy and Environmental Management: A New Resource for Energy and Environmental Professionals
The International Energy Agency's 2026 Energy and AI analysis confirms what engineers in the field already suspect: artificial intelligence is no longer a side tool for the energy sector — it is becoming core infrastructure. The IEA finds that AI-based fault detection can cut grid outage durations by 30–50%, and that AI-driven forecasting could unlock as much as 175 gigawatts of transmission capacity without building a single new line. (Source: IEA, Energy and AI — Executive Summary)
Artificial Intelligence in Sustainable Energy and Environmental Management, published by Springer Singapore in April 2026 as part of the Green Energy and Technology series, arrives directly in this moment. Edited by Dr. Shaharin Anwar Sulaiman of Universiti Teknologi PETRONAS, the volume brings together fifteen contributed chapters that move across the full breadth of AI applications in energy and environmental systems — biomass conversion, wave energy converters, wind turbine performance, hydrogen technologies, carbon emissions control, and predictive maintenance for renewable infrastructure.
What sets this volume apart
Two chapters extend into territory rarely covered in renewable-energy AI titles: AI-driven prediction of nanoparticle behaviour in sustainable drilling fluids, and neural network modelling of waxy crude oil compressibility for flow assurance. For institutions building collections that span both renewable energy and upstream oil and gas, this is a genuinely cross-sector reference rather than a single-topic volume.
Who should read it
Energy researchers, environmental engineers, oil and gas drilling engineers, and academic libraries building combined energy-and-environment holdings will find the case-study depth — drawn from operating systems across wind, solar, biomass, and petroleum sectors — difficult to match in a single title.
Ordering information
Available now at CLNZ Books. Price includes worldwide shipping. Credit card and PayPal accepted. For institutional orders, visit our Request a Quote page, or browse our full Energy catalogue and the Energy collection.
Q&A
Q: Where can I buy Artificial Intelligence in Sustainable Energy and Environmental Management?
A: It's available now from CLNZ Books, bookseller for professionals worldwide, with worldwide shipping included.
Q: Does this book address AI in oil and gas as well as renewables?
A: Yes — two chapters cover AI-driven nanoproperty prediction for sustainable drilling and waxy crude oil compressibility for flow assurance.
Q: Why is AI in energy systems a current priority for institutions?
A: The IEA's 2026 Energy and AI report shows AI-based grid management can reduce outage durations by up to 50% and unlock significant transmission capacity — making this an active research and policy area.
Q: Who edited this title?
A: Dr. Shaharin Anwar Sulaiman, Professor of Mechanical Engineering at Universiti Teknologi PETRONAS, Malaysia.
Q: What series is this book part of?
A: Springer's Green Energy and Technology series, published April 2026.