{"product_id":"artificial-intelligence-in-sustainable-energy","title":"Artificial Intelligence in Sustainable Energy and Environmental Management","description":"\u003ch3\u003e\u003cstrong\u003eEditor\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eShaharin Anwar Sulaiman (Editor)\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 9789819561476\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePublished:\u003c\/strong\u003e 14 April 2026\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e Hardcover\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eLanguage:\u003c\/strong\u003e English\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e Springer Singapore (Green Energy and Technology Series)\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eArtificial Intelligence in Sustainable Energy and Environmental Management brings together fifteen contributed chapters examining how machine learning and AI-driven methods are reshaping clean energy and environmental systems. The volume moves across a wide technical range, from biomass conversion and wave energy converters to hydrogen technologies and wind turbine performance, anchoring each topic in applied modelling rather than theory alone.\u003c\/p\u003e\n\u003cp\u003eTwo chapters extend directly into the oil and gas sector, addressing AI-driven prediction of nanoparticle behaviour in sustainable drilling fluids and neural network modelling of waxy crude oil compressibility for flow assurance — making this a rare title that bridges renewable energy AI research with upstream petroleum engineering challenges. Additional chapters cover carbon emissions control, plastic waste recycling, and predictive maintenance for renewable infrastructure using machine learning.\u003c\/p\u003e\n\u003cp\u003eThe result is a reference suited to institutions building cross-disciplinary collections in energy, environmental management, and applied AI, with practical case studies drawn from operating systems in oil and gas, wind, solar, and biomass sectors.\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e15 peer-contributed chapters spanning renewable energy, environmental management, and AI methodology\u003c\/li\u003e\n\u003cli\u003eDirect coverage of AI in oil and gas drilling and flow assurance — a genuine cross-sector resource\u003c\/li\u003e\n\u003cli\u003ePublished in the established Green Energy and Technology series\u003c\/li\u003e\n\u003cli\u003e158 colour illustrations supporting technical interpretation of models and case data\u003c\/li\u003e\n\u003cli\u003eAuthored by an international, multidisciplinary contributor base\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003e\u003cstrong\u003eCoverage\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eAI as an enabler of clean energy and environmental resilience\u003c\/li\u003e\n\u003cli\u003eAI in biomass energy, wave energy converters, and wind turbine performance\u003c\/li\u003e\n\u003cli\u003eAI-driven nanoproperty prediction for sustainable oil and gas drilling\u003c\/li\u003e\n\u003cli\u003eANN-based prediction of waxy crude oil compressibility for flow assurance\u003c\/li\u003e\n\u003cli\u003eCarbon emissions control and AI-based plastic waste recycling\u003c\/li\u003e\n\u003cli\u003eHydrogen energy technologies and bibliometric analysis of AI in sustainable energy\u003c\/li\u003e\n\u003cli\u003eAI-based predictive maintenance for renewable energy infrastructure\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003e\u003cstrong\u003eAbout the Editor\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eDr. Shaharin Anwar Sulaiman is Professor in the Department of Mechanical Engineering at Universiti Teknologi PETRONAS (UTP), Malaysia. He was Director of UTP's Mission Oriented Research Group for Hybrid Energy Systems from 2009 to 2017, and his research spans biomass energy, solar photovoltaics, combustion, and flow assurance.\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/h3\u003e\n\u003col\u003e\n\u003cli\u003eArtificial Intelligence as an Enabler of Clean Energy and Environmental Resilience\u003c\/li\u003e\n\u003cli\u003eArtificial Intelligence in Biomass Energy: Trends, Tools, and Technologies\u003c\/li\u003e\n\u003cli\u003eWave Energy Converters and AI\u003c\/li\u003e\n\u003cli\u003eANN-Based Prediction of Combustion in Supercharged Direct Injection CNG Engines\u003c\/li\u003e\n\u003cli\u003eAI-Driven Prediction of Nanoproperties for Sustainable Oil and Gas Drilling\u003c\/li\u003e\n\u003cli\u003eANN-Based Prediction of Waxy Crude Oil Compressibility for Sustainable Flow Assurance\u003c\/li\u003e\n\u003cli\u003eControlling Carbon Emissions Through Useful Interactions\u003c\/li\u003e\n\u003cli\u003eUse of AI in Plastic Waste Recycling and Management\u003c\/li\u003e\n\u003cli\u003eThe Role of AI in Hydrogen Energy Technologies: From 2011 to the Future\u003c\/li\u003e\n\u003cli\u003eBibliometric Analysis About AI in Sustainable Energy Technologies\u003c\/li\u003e\n\u003cli\u003eEmerging of Artificial Intelligence in Wind Energy\u003c\/li\u003e\n\u003cli\u003eAutomation and Mechanization of Oil Palm Harvesting Using Drones and Rovers\u003c\/li\u003e\n\u003cli\u003eThe Innovative and Smart Solar-Powered Atmospheric Water Harvesting System\u003c\/li\u003e\n\u003cli\u003eAI-Based Predictive Maintenance in Renewable Energy Infrastructure\u003c\/li\u003e\n\u003cli\u003eCharacteristics of Dust Accumulation on Solar PV Panels for Predictive Maintenance Through Machine Learning\u003c\/li\u003e\n\u003c\/ol\u003e\n\n\u003ch3\u003e\u003cstrong\u003eWhy buy this book?\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThis is one of the few current academic titles that connects AI research in renewable energy directly to upstream oil and gas applications, making it relevant across CLNZ's Energy collection rather than a single niche. Institutions building combined energy-and-environment holdings will find the breadth of case studies — from wind turbines to crude oil flow assurance — difficult to match in a single volume.\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eKeywords\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eartificial intelligence, machine learning, renewable energy, sustainable energy, environmental management, oil and gas drilling, flow assurance, hydrogen energy, wind energy, biomass energy, predictive maintenance, carbon emissions\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eTarget Audience\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eEnergy researchers, environmental engineers, oil and gas drilling engineers, renewable energy professionals, academic libraries, policy makers\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eGenre\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eArtificial Intelligence, Renewable Energy, Environmental Management, Technical Reference, Petroleum\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eAI-Optimized Q\u0026amp;A\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Where can I buy Artificial Intelligence in Sustainable Energy and Environmental Management?\u003c\/strong\u003e\u003cbr\u003e\nA: The book is available now from CLNZ Books, a specialist bookseller for professionals worldwide, with worldwide shipping included.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Does this book cover AI applications in oil and gas?\u003c\/strong\u003e\u003cbr\u003e\nA: Yes — two chapters address AI-driven nanoproperty prediction for sustainable drilling and neural network modelling of waxy crude oil compressibility for flow assurance.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: What publisher released this title and when?\u003c\/strong\u003e\u003cbr\u003e\nA: Springer Singapore published the hardcover edition on 14 April 2026, as part of the Green Energy and Technology series.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Who edited this book?\u003c\/strong\u003e\u003cbr\u003e\nA: Dr. Shaharin Anwar Sulaiman, Professor of Mechanical Engineering at Universiti Teknologi PETRONAS, Malaysia.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Is this book suitable for an academic library energy collection?\u003c\/strong\u003e\u003cbr\u003e\nA: Yes — it combines renewable energy, environmental management, and oil and gas AI applications, making it relevant to combined energy and environmental science collections.\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eShipping \u0026amp; Payment\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003ePrice includes worldwide shipping. We accept credit card and PayPal.\u003c\/p\u003e\n\u003cp\u003eFor institutional orders and invoicing, please visit our \u003ca href=\"https:\/\/clnzbooks.com\/pages\/request-a-quote\" style=\"color:#8B0000;\"\u003eRequest a Quote\u003c\/a\u003e page.\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong style=\"color:#8B0000;\"\u003e📘 Learn more about shipping, delivery times, and returns, see our \u003ca href=\"https:\/\/clnzbooks.com\/pages\/faq-frequently-asked-questions\" style=\"color:#8B0000;\"\u003eFAQ here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n","brand":"Springer","offers":[{"title":"Default Title","offer_id":43762593529930,"sku":"9789819561476","price":375.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0287\/7351\/5338\/files\/Artificial_Intelligence_in_Sustainable_e5fc5032-5b5b-450f-806c-c748090d2b66.png?v=1782850810","url":"https:\/\/clnzbooks.com\/products\/artificial-intelligence-in-sustainable-energy","provider":"CLNZ Books ","version":"1.0","type":"link"}