Editors:
Explores how utilising AI within cyber-physical systems can benefit the decarbonisation of key economic sectors
Illustrates the methods discussed clearly and frequently to showcase impacts of methods discussed
Brings together contributions from industry, think tanks, academia and public sectors
Part of the book series: Lecture Notes in Energy (LNEN, volume 86)
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsThis is a preview of subscription content, access via your institution.
Table of contents (33 chapters)
-
Front Matter
-
Introduction
-
Front Matter
-
-
Sectors & Impact
-
Front Matter
-
About this book
Intelligent Decarbonisation comprehensively assesses the current and future impact of digital technologies and artificial intelligence (AI) on the decarbonisation of key economic sectors.
The book is divided into four parts – Technology, Impact, Implications and Incubation – moving clearly from the theoretical and technical to the real-world effects and areas for future development. It also presents insights into the economic and environmental transformation fostered by digital technologies.
Intelligent Decarbonisation brings together work from private and public sector professionals, academics and think tank experts, and provides truly comprehensive insights into the topic. It is an interesting and informative text for policymakers, researchers and industry professionals alike.
Keywords
- Artificial Intelligence
- Decarbonisation
- Cyber-Physical Systems
- Climate Change
- Emissions
- Resources
- Computer Science
Editors and Affiliations
-
Cambridge CARES, University of Cambridge, Singapore, Singapore
Oliver Inderwildi, Markus Kraft
About the editors
Dr Oliver Inderwildi has more than 20 years of experience in sustainability research and consulting gained in academia, think tanks, the private sector as well as international organisations. Dr Inderwildi combines in-depth knowledge on computational methods for efficient resource use with hands-on experience in business and political processes driving decarbonisation. He has published more than 70 academic research articles, 10 White Papers and has created numerous sustainable business models for private sector clients.
Professor Markus Kraft has more than 30 years of experience using computational models to solve real-world engineering problems and has published more than 200 scientific articles in this area. He is Professor of Chemical Engineering at the University of Cambridge, Fellow of Churchill College and the inaugural Director of the University of Cambridge's first overseas department, Cambridge CARES, in Singapore. Moreover, Professor Kraft is the Founder and Director of CMCL Innovations, an award-winning company offering software and technical consultancy services for the science, engineering and tech sectors.
Bibliographic Information
Book Title: Intelligent Decarbonisation
Book Subtitle: Can Artificial Intelligence and Cyber-Physical Systems Help Achieve Climate Mitigation Targets?
Editors: Oliver Inderwildi, Markus Kraft
Series Title: Lecture Notes in Energy
DOI: https://doi.org/10.1007/978-3-030-86215-2
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-86214-5Published: 23 April 2022
Softcover ISBN: 978-3-030-86217-6Published: 23 April 2023
eBook ISBN: 978-3-030-86215-2Published: 22 April 2022
Series ISSN: 2195-1284
Series E-ISSN: 2195-1292
Edition Number: 1
Number of Pages: XIII, 260
Number of Illustrations: 4 b/w illustrations, 76 illustrations in colour
Topics: Energy Policy, Economics and Management, Cyber-Physical Systems, Environmental Sciences, Energy Policy, Economics and Management, Computational Intelligence