In this section
@inbook{Acha:2022:10.1007/978-3-030-86215-2_15,
author = {Acha, S and O’Dwyer, E and Pan, I and Shah, N},
booktitle = {Lecture Notes in Energy},
doi = {10.1007/978-3-030-86215-2_15},
pages = {133--144},
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}
}
TY - CHAP
AB - We highlight the key pillars of urban energy systems which would leverage on AI and digital technologies for a low carbon future. We summarise a couple of real world applications where optimisation, intelligent control systems and cloud-based infrastructure have played a transformative role in improving system performance, cost-effectiveness and decarbonisation. The case studies show that AI and digital technologies can be implemented for standalone unit operations to achieve such benefits. However, more importantly as the second case study shows, applying such technologies at a system level by integrating multiple energy vectors would give much more flexibility in terms of operation, resulting in better performance improvements and decarbonisation strategies. We conclude by highlighting the strategic trends in this fast evolving field and giving a broad outlook in terms of cost reductions and emissions savings for similar intelligent energy systems.
AU - Acha,S
AU - O’Dwyer,E
AU - Pan,I
AU - Shah,N
DO - 10.1007/978-3-030-86215-2_15
EP - 144
PY - 2022///
SP - 133
TI - Decarbonisation of the Urban Landscape: Integration and Optimization of Energy Systems
T1 - Lecture Notes in Energy
UR - http://dx.doi.org/10.1007/978-3-030-86215-2_15
ER -