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Intelligent Decarbonisation

Can Artificial Intelligence and Cyber-Physical Systems Help Achieve Climate Mitigation Targets?

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  • © 2022

Overview

  • 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)

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About this book

The book explains the need to decarbonise energy supplies, urban systems and industrial processes to reduce global greenhouse gases and meet the ambitious emissions reduction goals set out in the Paris Agreement 2016. It discusses how the introduction of AI to cyber-physical systems (CPS) can do this, using illustrations throughout to highlight the potential impacts.


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.


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Keywords

Table of contents (33 chapters)

  1. Introduction

  2. Methods & Technology

  3. Sectors & Impact

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 theFounder 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, IoT, Climate Change, Renewable and Green Energy, Computational Intelligence

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