Sewer network layout selection and hydraulic design using a mathematical optimization framework
dc.contributor.author
Duque Villarreal, Natalia
dc.contributor.author
Duque, Daniel
dc.contributor.author
Aguilar, Andrés
dc.contributor.author
Saldarriaga, Juan
dc.date.accessioned
2020-12-15T07:37:07Z
dc.date.available
2020-12-15T03:20:39Z
dc.date.available
2020-12-15T07:37:07Z
dc.date.issued
2020-12
dc.identifier.issn
2073-4441
dc.identifier.other
10.3390/w12123337
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/456282
dc.identifier.doi
10.3929/ethz-b-000456282
dc.description.abstract
This paper proposes an iterative mathematical optimization framework to solve the layout and hydraulic design problems of sewer networks. The layout selection model determines the flow rate and direction per pipe using mixed-integer programming, which results in a tree-like structured network. This network layout parametrizes a second model that determines hydraulic features including the diameter and the upstream and downstream invert elevations of pipes using a shortest path algorithm. These models are embedded in an iterative scheme that refines a cost function approximation for the first model upon learning the actual design cost from the second model. The framework was successfully tested on two sewer network benchmarks from the literature and a real sewer network located in Bogotá, Colombia, that is proposed as a new instance. For both benchmarks, the proposed methodology found a better solution with up to 42% cost reduction compared to the best methodologies reported in the literature. These are near-optimal solutions with respect to construction cost that satisfy all hydraulic and pipe connectivity constraints of a sewer system.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
MDPI
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
sewer network design
en_US
dc.subject
layout selection
en_US
dc.subject
hydraulic design
en_US
dc.subject
mix-integer programming
en_US
dc.subject
dynamic programming
en_US
dc.title
Sewer network layout selection and hydraulic design using a mathematical optimization framework
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-11-27
ethz.journal.title
Water
ethz.journal.volume
12
en_US
ethz.journal.issue
12
en_US
ethz.pages.start
3337
en_US
ethz.size
22 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02608 - Institut für Umweltingenieurwiss. / Institute of Environmental Engineering::03989 - Maurer, Max / Maurer, Max
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02608 - Institut für Umweltingenieurwiss. / Institute of Environmental Engineering::03989 - Maurer, Max / Maurer, Max
ethz.date.deposited
2020-12-15T03:20:43Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-12-15T07:37:17Z
ethz.rosetta.lastUpdated
2022-03-29T04:35:11Z
ethz.rosetta.versionExported
true
ethz.COinS
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Journal Article [132361]