Imperial College London
Portrait Picture

Dr Salvador Acha

Faculty of Engineering, Department of Chemical Engineering

Senior Research Fellow
 
 
 
//

Contact

 

+44 (0)20 7594 3379salvador.acha Website CV

 
 
//

Location

 

453AACE ExtensionSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inbook{O'Dwyer:2022:10.1007/978-3-030-86215-2_15,
author = {O'Dwyer, E and Indranil, P and Shah, N},
booktitle = {Intelligent Decarbonisation: Can Artificial Intelligence and Cyber-PhysicalSystems Help Achieve Climate MitigationTargets?},
doi = {10.1007/978-3-030-86215-2_15},
editor = {Inderwildi and Kraft},
publisher = {Springer},
title = {Decarbonisation of the urban landscape: integration and optimization of energy systems},
url = {http://dx.doi.org/10.1007/978-3-030-86215-2_15},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - CHAP
AB  - We highlight the key pillars of urban energy systems which would leverage on AI and digital technologiesfor a low carbon future. We summarise a couple of real world applications where optimisation, intelligentcontrol systems and cloud based infrastructure have played a transformative role in improving systemperformance, cost effectiveness and decarbonisation. The case studies show that AI and digitaltechnologies can be implemented for standalone unit operations to achieve such benefits. However, moreimportantly as the second case study shows, applying such technologies at a system level by integratingmultiple energy vectors would give much more flexibility in terms of operation, resulting in betterperformance improvements and decarbonisation strategies. We conclude by highlighting the strategictrends in this fast evolving field and giving a broad outlook in terms of cost reductions and emissionssavings for similar intelligent energy systems.
AU  - O'Dwyer,E
AU  - Indranil,P
AU  - Shah,N
DO  - 10.1007/978-3-030-86215-2_15
PB  - Springer
PY  - 2022///
SN  - 978-3030862145
TI  - Decarbonisation of the urban landscape: integration and optimization of energy systems
T1  - Intelligent Decarbonisation: Can Artificial Intelligence and Cyber-PhysicalSystems Help Achieve Climate MitigationTargets?
UR  - http://dx.doi.org/10.1007/978-3-030-86215-2_15
UR  - https://link.springer.com/chapter/10.1007/978-3-030-86215-2_15
ER  -
Download