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{Olympios:2019,
author = {Olympios, A and Le, Brun N and Acha, Izquierdo S and Lambert, R and Shah, N and Markides, C},
title = {Installation of a dynamic controller for the optimal operation of a CHP engine in a supermarket under uncertainty},
url = {http://hdl.handle.net/10044/1/72698},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - This work is concerned with the integration and coordination of decentralized combined heat and power (CHP) systems in commercial buildings. Although extensive research has been performed on theoretically optimizing the design, sizing and operation of CHP systems, less effort has been devoted to an understanding of the practical challenges and the effects of uncertainty in implementing advanced algorithms to real-world applications. This paper provides details of an undergoing field trial involving the installation of a dynamic controller for the optimal operation of an existing CHP engine, which provides electricity and heat to a supermarket. The challenges in developing and applying an optimization framework and the software architecture required to implement it are discussed. Deterministic approaches that involve no measure of uncertainty provide limited useful insight to decision makers. For this reason, the methodology here develops a stochastic programming technique, which performs Monte Carlo simulations that can consider the uncertainty related to the exporting electricity price. The method involves the formation of a bi-objective function that represents a compromise between maximizing the expected savings and minimizing the associated risk. The results reveal a risk-return trade-off, demonstrating that conservative operation choices emerging from the stochastic approach can reduce risk by about 15% at the expense of a noticeably smaller reduction of about 10% in expected savings.
AU  - Olympios,A
AU  - Le,Brun N
AU  - Acha,Izquierdo S
AU  - Lambert,R
AU  - Shah,N
AU  - Markides,C
PY  - 2019///
TI  - Installation of a dynamic controller for the optimal operation of a CHP engine in a supermarket under uncertainty
UR  - http://hdl.handle.net/10044/1/72698
ER  -
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