Imperial College London

DrIvanStoianov

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Reader in Water Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6035ivan.stoianov Website

 
 
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Assistant

 

Miss Judith Barritt +44 (0)20 7594 5967

 
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Location

 

408Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ulusoy:2020:10.1109/JSYST.2019.2961104,
author = {Ulusoy, A-J and Pecci, F and Stoianov, I},
doi = {10.1109/JSYST.2019.2961104},
journal = {IEEE Systems Journal},
pages = {4579--4590},
title = {A MINLP-based approach for the design-for-control of resilient water supply systems},
url = {http://dx.doi.org/10.1109/JSYST.2019.2961104},
volume = {14},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The improvement in resilience of water supplysystems by increasing their redundancy, either in energyor in connectivity, is a common priority when doing rehabilitation and expansion. This however can come at thecost of other aspects of network performance, such asleakage management. In this work, we consider the designfor-control problem of adding new connections (from a predefined set of candidate pipes) to water supply systems toimprove their resilience to failure events while minimizingthe impact on leakage management under normal operatingconditions. We present a mixed-integer non-linear programming formulation of the problem of optimal link additionfor the minimization of average zone pressure, a surrogatemeasure of pressure dependent leakage. We implement amethod based on spatial branch-and-bound to solve theproblem on a case study network from the literature andan operational network part of an urban water system inthe UK. Finally, we validate the improvement in networkresilience resulting from the addition of new connectionsby performing an a posteriori critical link analysis, usingthe hydraulic resilience measure of reserve capacity.
AU - Ulusoy,A-J
AU - Pecci,F
AU - Stoianov,I
DO - 10.1109/JSYST.2019.2961104
EP - 4590
PY - 2020///
SN - 1932-8184
SP - 4579
TI - A MINLP-based approach for the design-for-control of resilient water supply systems
T2 - IEEE Systems Journal
UR - http://dx.doi.org/10.1109/JSYST.2019.2961104
UR - http://hdl.handle.net/10044/1/74385
VL - 14
ER -