Model reduction and outer approximation for optimising the placement of control valves in complex water networks

File Description SizeFormat 
Pecci_Abraham_Stoianov_ASCE_2018.pdfAccepted version471.5 kBAdobe PDFView/Open
Pecci_Abraham_Stoianov_ASCE_2018_Supplementary_Material.pdfSupporting information133.74 kBAdobe PDFView/Open
Title: Model reduction and outer approximation for optimising the placement of control valves in complex water networks
Authors: Pecci, F
Abraham, E
Stoianov, I
Item Type: Journal Article
Abstract: The optimal placement and operation of pressure control valves in water distribution networks is a challenging engineering problem. When formulated in a mathematical optimisation frame work, this problem results in a nonconvex mixed integer nonlinear program (MINLP), which has combinatorial computational complexity. As a result, the considered MINLP becomes particularly difficult to solve for large-scale looped operational networks. We extend and combine network model reduction techniques with the proposed optimisation framework in order to lower the computational burden and enable the optimal placement and operation of control valves in these complex water distribution networks. An outer approximation algorithm is used to solve the considered MINLPs on reduced hydraulic models. We demonstrate that the restriction of the considered optimisation problem on a reduced hydraulic model is not equivalent to solving the original larger MINLP, and its solution is therefore sub-optimal. Consequently, we investigate the trade-off between reducing computational complexity and the potential sub-optimality of the solutions that can be controlled with a parameter of the model reduction routine. The efficacy of the proposed method is evaluated using two large scale water distribution network models.
Issue Date: May-2019
Date of Acceptance: 9-Oct-2018
URI: http://hdl.handle.net/10044/1/65319
DOI: https://doi.org/10.1061/(ASCE)WR.1943-5452.0001055
ISSN: 0733-9496
Publisher: American Society of Civil Engineers
Journal / Book Title: Journal of Water Resources Planning and Management
Volume: 145
Issue: 5
Copyright Statement: © 2019 American Society of Civil Engineers. Available in ASCE's Civil Engineering Database http://doi.org/10.1061/(ASCE)WR.1943-5452.0001055 .
Sponsor/Funder: Engineering & Physical Science Research Council (E
NEC Corporation
Cla-Val UK Ltd
Funder's Grant Number: EP/P004229/1
N/A
Imperial - Caroline Blocher
Keywords: Science & Technology
Technology
Physical Sciences
Engineering, Civil
Water Resources
Engineering
OPTIMIZATION PROBLEMS
ALGORITHM
Environmental Engineering
0905 Civil Engineering
0907 Environmental Engineering
1402 Applied Economics
Publication Status: Published
Article Number: 04019014
Online Publication Date: 2019-02-27
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons