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

@article{ODwyer:2020:10.1016/j.scs.2020.102412,
author = {ODwyer, E and Pan, I and Charlesworth, R and Butler, S and Shah, N},
doi = {10.1016/j.scs.2020.102412},
journal = {Sustainable Cities and Society},
pages = {1--14},
title = {Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems},
url = {http://dx.doi.org/10.1016/j.scs.2020.102412},
volume = {62},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - As Internet of Things (IoT) technologies enable greater communication between energy assets in smart cities, the operational coordination of various energy networks in a city or district becomes more viable. Suitable tools are needed that can harness advanced control and machine learning techniques to achieve environmental, economic and resilience objectives. In this paper, an energy management tool is presented that can offer optimal control, scheduling, forecasting and coordination services to energy assets across a district, enabling optimal decisions under user-defined objectives. The tool presented here can coordinate different sub-systems in a district to avoid the violation of high-level system constraints and is designed in a generic fashion to enable transferable use across different energy sectors. The work demonstrates the potential for a single open-source optimisation framework to be applied across multiple energy vectors, providing local government the opportunity to manage different assets in a coordinated fashion. This is shown through case studies that integrate low-carbon communal heating for social housing with electric vehicle charge-point management to achieve high-level system constraints and local government objectives in the borough of Greenwich, London. The paper illustrates the theoretical methodology, the software architecture and the digital twin-based testing environment underpinning the proposed approach.
AU  - ODwyer,E
AU  - Pan,I
AU  - Charlesworth,R
AU  - Butler,S
AU  - Shah,N
DO  - 10.1016/j.scs.2020.102412
EP  - 14
PY  - 2020///
SN  - 2210-6707
SP  - 1
TI  - Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems
T2  - Sustainable Cities and Society
UR  - http://dx.doi.org/10.1016/j.scs.2020.102412
UR  - https://www.sciencedirect.com/science/article/pii/S2210670720306338?via%3Dihub
UR  - http://hdl.handle.net/10044/1/80989
VL  - 62
ER  -
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