Imperial College London
Alternate

Professor Nilay Shah OBE FREng

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6621n.shah

 
 
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Assistant

 

Miss Jessica Baldock +44 (0)20 7594 5699

 
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Location

 

ACEX 522ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{O'Dwyer:2019:10.1680/icsic.64669.161,
author = {O'Dwyer, E and Pan, I and Acha, Izquierdo S and Gibbons, S and Shah, N},
doi = {10.1680/icsic.64669.161},
publisher = {ICE Publishing},
title = {Modelling and evaluation of multi-vector energy networks in smart cities},
url = {http://dx.doi.org/10.1680/icsic.64669.161},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Energy demand growth and the rapid rate of technological changein an urban contextare already having an impact on our energy systems. Considering global ambitions to reduce carbon emissions and minimise the rate and impacts of climate change, this demand will need to be met  with energy  from low  carbon sources. Increased electrification of heat and transport networks is  anticipated, however, the cross-sectoral impacts of different interventions in these systems must be better understood to prevent gains in one system leadingto losses in another while ensuring financial benefits for producers and consumers. As such, evaluating the impacts of specific interventions can be a challenge, with  analyses  typically  focussed  on  individual  systems.  In  this  paper,  asimulation  environment  is  developed  to  capture  the  behaviour  of interconnected heat, power and transport networks in an urban environment to act as a ‘digital twin’ for the energy systems of a district or city. The modelling environment illustrated here is based on the smart city interventions in Greenwich (London), with model validation carried out using real data measurements. Building retrofit and heat electrification interventions are demonstrated in terms of costs, energy consumption and CO2 emissions, considering constraints on power and thermal systems.
AU  - O'Dwyer,E
AU  - Pan,I
AU  - Acha,Izquierdo S
AU  - Gibbons,S
AU  - Shah,N
DO  - 10.1680/icsic.64669.161
PB  - ICE Publishing
PY  - 2019///
TI  - Modelling and evaluation of multi-vector energy networks in smart cities
UR  - http://dx.doi.org/10.1680/icsic.64669.161
UR  - http://hdl.handle.net/10044/1/70927
ER  -
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