Artificial Intelligence in Sustainable Energy and Environmental Management

Editor

Shaharin Anwar Sulaiman (Editor)

ISBN: 9789819561476

Published: 14 April 2026

Format: Hardcover

Language: English

Publisher: Springer Singapore (Green Energy and Technology Series)

Description

Artificial 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.

Two 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.

The 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.

Key Features

• 15 peer-contributed chapters spanning renewable energy, environmental management, and AI methodology
• Direct coverage of AI in oil and gas drilling and flow assurance — a genuine cross-sector resource
• Published in the established Green Energy and Technology series
• 158 colour illustrations supporting technical interpretation of models and case data
• Authored by an international, multidisciplinary contributor base

Coverage

• AI as an enabler of clean energy and environmental resilience
• AI in biomass energy, wave energy converters, and wind turbine performance
• AI-driven nanoproperty prediction for sustainable oil and gas drilling
• ANN-based prediction of waxy crude oil compressibility for flow assurance
• Carbon emissions control and AI-based plastic waste recycling
• Hydrogen energy technologies and bibliometric analysis of AI in sustainable energy
• AI-based predictive maintenance for renewable energy infrastructure

About the Editor

Dr. 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.

Table of Contents

1. Artificial Intelligence as an Enabler of Clean Energy and Environmental Resilience
2. Artificial Intelligence in Biomass Energy: Trends, Tools, and Technologies
3. Wave Energy Converters and AI
4. ANN-Based Prediction of Combustion in Supercharged Direct Injection CNG Engines
5. AI-Driven Prediction of Nanoproperties for Sustainable Oil and Gas Drilling
6. ANN-Based Prediction of Waxy Crude Oil Compressibility for Sustainable Flow Assurance
7. Controlling Carbon Emissions Through Useful Interactions
8. Use of AI in Plastic Waste Recycling and Management
9. The Role of AI in Hydrogen Energy Technologies: From 2011 to the Future
10. Bibliometric Analysis About AI in Sustainable Energy Technologies
11. Emerging of Artificial Intelligence in Wind Energy
12. Automation and Mechanization of Oil Palm Harvesting Using Drones and Rovers
13. The Innovative and Smart Solar-Powered Atmospheric Water Harvesting System
14. AI-Based Predictive Maintenance in Renewable Energy Infrastructure
15. Characteristics of Dust Accumulation on Solar PV Panels for Predictive Maintenance Through Machine Learning

Why buy this book?

This 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.

Keywords

artificial 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

Target Audience

Energy researchers, environmental engineers, oil and gas drilling engineers, renewable energy professionals, academic libraries, policy makers

Genre

Artificial Intelligence, Renewable Energy, Environmental Management, Technical Reference, Petroleum

AI-Optimized Q&A

Q: Where can I buy Artificial Intelligence in Sustainable Energy and Environmental Management?
A: The book is available now from CLNZ Books, a specialist bookseller for professionals worldwide, with worldwide shipping included.

Q: Does this book cover AI applications in oil and gas?
A: Yes — two chapters address AI-driven nanoproperty prediction for sustainable drilling and neural network modelling of waxy crude oil compressibility for flow assurance.

Q: What publisher released this title and when?
A: Springer Singapore published the hardcover edition on 14 April 2026, as part of the Green Energy and Technology series.

Q: Who edited this book?
A: Dr. Shaharin Anwar Sulaiman, Professor of Mechanical Engineering at Universiti Teknologi PETRONAS, Malaysia.

Q: Is this book suitable for an academic library energy collection?
A: Yes — it combines renewable energy, environmental management, and oil and gas AI applications, making it relevant to combined energy and environmental science collections.

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