The global pursuit of sustainability has placed an urgent emphasis on developing innovative and eco-friendly technological solutions. Green computing has the potential to revolutionize the way we evaluate sustainability with the use of energy-efficient algorithms for resource optimization, sustainable hardware design, and smart resource management. Recognizing the intersection of computational intelligence and environmental stewardship, this book seeks to address the pressing challenges of integrating green practices into the realm of computational intelligence and aligning them with global sustainable development goals. Through global expertise from researchers and industry professionals, this book comprehensively covers the many applications of these innovative new technologies, as well as the challenges surrounding their implementation.

Readers will find the book:

Explores the convergence of environmental sustainability and advanced computational techniques, addressing the global call for energy-efficient and eco-friendly technological solutions;
Integrates perspectives from computer science, engineering, environmental science, and artificial intelligence, providing a holistic view of green computing;
Examines sustainable practices across diverse topics, including energy-efficient algorithms and resource optimization, sustainable hardware design, green software engineering, eco-friendly data centers, and smart resource management;
Offers practical strategies for implementing sustainable computing practices while addressing theoretical and practical challenges;
Highlights the role of computational intelligence in promoting sustainability, bridging the gap between technology development and environmental conservation.

Audience

Researchers, students, educators, and industry professionals working towards sustainable practices in and using green technology.

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Yes, you can access Green Computational Intelligence by Nitish Pathak,Neelam Sharma,Moolchand Sharma,Dac-Nhuong Le in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Computer Science

Cover
Series Page
Title Page
Copyright Page
Contents
Preface
Chapter 1 Green Hydrogen: Fundamentals, Properties, Classifications, Advantages and Challenges
Chapter 2 Fundamentals of Green Energy and the Significance of Green Hydrogen
Chapter 3 Green Hydrogen and Green Energy Fundamentals and Relative Description
Chapter 4 Green Hydrogen Production: Relative Challenges and Opportunities of Different Method
Chapter 5 Social and Environmental Challenges of Green Hydrogen
Chapter 6 Industrial Scale Challenges of Production and Consumption of Green Hydrogen
Chapter 7 Seawater as an Alternative Source for Hydrogen Production
Chapter 8 Green Hydrogen Investments and Financing: Public and Government Investments
Chapter 9 Future of Green Hydrogen: Opportunities and Challenges
Chapter 10 Green Hydrogen Production at Industrial Scale: Future Challenges and Opportunities
Chapter 11 Significant Projects in Production, Storage and Applications of Green Hydrogen Around the World
Chapter 12 Scenarios of Green Hydrogen of the World
Chapter 13 Global Journey of Green Hydrogen: Opportunities and Challenges
Chapter 14 A Critical Review and Perspective of Challenges of Green Hydrogen
Chapter 15 Green Hydrogen for Power and Heat Generation Applications
Chapter 16 Green Hydrogen for Passenger/Goods Transport Applications
Chapter 17 Green Hydrogen as a Pillar of Energy Transition and Transport Innovation
Chapter 18 Fuel Cell Vehicles (FCVs) Powered by Hydrogen Challenges and Constraints
Chapter 19 Green Hydrogen for Water Desalination
Chapter 20 Green Hydrogen Policies and Regulations
Index
Also of Interest
EULA

About this book

Frequently asked questions

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Table of contents