An Integer Program for Optimizing Sanitary Sewer Rehabilitation Over a Planning Horizon

deMonsabert, Sharon; Ong, Chee Boon; Thornton, Philip K.

doi:10.2175/106143096x122429

Cited by 15 publications

(6 citation statements)

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“…Cost minimization is often either formulated as the objective (Shamir & Howard, 1979) or a maximum budget is specified and the optimization model selects the assets that maximize risk reduction when targeted (Chen, Riley, et al, 2020;Choi et al, 2017). Examples of exact optimization models for the replacement planning are found in the studies by Mays (1994) andde Monsabert et al (1999). Hydraulic feasibility constraints are included in these models to ensure that while assets are taken out of service during repair, pressure and flow conditions are still being satisfied for the rest of the system.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Optimizing cluster selections for the replacement planning of water distribution systems

2021

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Risk assessment is an effective tool for revealing criticalities across an entire water system. However, standard outputs that report risk at the individual pipe segment level can have limited use for decision support since utilities typically plan for the replacement of aggregated areas to minimize disruption and cost. This research presents a process for aggregating individual pipes into high-risk clusters. Each cluster is a group of contiguous pipe which, when targeted, will reduce mobilization cost and community disruption. A graph search is first used to locate potential clusters, and then the optimal selection, which maximizes risk capture, is identified. An integer programming model is presented, and the process is implemented on a real system. Empirical trials suggest that the ability to prevent future breaks is not significantly reduced when prioritizing clusters rather than individual pipes. This shows that the proposed method can guide more cost-efficient planning for pipe replacements.

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Section: Background and Literature Reviewmentioning

confidence: 99%

Optimizing cluster selections for the replacement planning of water distribution systems

2021

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“…Abraham et al (1998) used deterministic dynamic programming for identifying suitable sewer rehabilitation techniques during the planning horizon of a sewer system. deMonsabert et al (1999) used integer programming to optimize sewer rehabilitation schedules for minimizing the costs of repairs and the inflow and infiltration associated with sewer pipeline and manhole defects. extended previous studies by presenting a multi‐level dynamic programming model for the optimal deterministic selection of sewer pumping stations, intermediate manholes, pipe sections, and pipeline installation depth.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Design of Regional Wastewater Pipelines and Treatment Plant Systems

Brand

Ostfeld

2011

Water Environment Research

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This manuscript describes the application of a genetic algorithm model for the optimal design of regional wastewater systems comprised of transmission gravitational and pumping sewer pipelines, decentralized treatment plants, and end users of reclaimed wastewater. The algorithm seeks the diameter size of the designed pipelines and their flow distribution simultaneously, the number of treatment plants and their size and location, the pump power, and the required excavation work. The model capabilities are demonstrated through a simplified example application using base runs and sensitivity analyses. Scaling of the proposed methodology to real life wastewater collection and treatment plants design problems needs further testing and developments. The model is coded in MATLAB using the GATOOL toolbox and is available from the authors.

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“…Few studies proposed optimization models for sewer network renewal planning. DeMonsabert et al (1999) proposed an integer programming model to determine optimal rehabilitation plans for sanitary sewers by analyzing the costs and benefits of reducing the amount of infiltration/inflow over a 20-year planning horizon. Abraham et al (1998) and Wirahadikusumah and Abraham (2003) described a dynamic programming technique to select sewer rehabilitation methods that would maximize the benefit/cost ratio (or minimize the total cost) over a planning horizon.…”

Section: Decision Support Systems For Renewal Planning Of Sewer Networkmentioning

confidence: 99%

Integrated Decision Support System for Optimal Renewal Planning of Sewer Networks

Halfawy

Dridi

Baker

2008

J. Comput. Civ. Eng.

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/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous.http://dx.doi.org/10.1061/(ASCE) 0887-3801(2008)22:6(360) Journal of Computing in Civil Engineering, 22, 6, pp. 360-372, 2008-11-01 Integrated decision support system for optimal renewal planning of sewer networks Halfawy, M. R.; Dridi, L.; Baker, S.http://irc.nrc-cnrc.gc.caIntegrated decision support system for optimal renewal planning of sewer networks NRCC-50095Halfawy, M.R.; Dridi, L.; Baker, S. 2008-10-28A version of this document is published in / Une version de ce document se trouve dans: Journal of Computing in Civil Engineering, v. 22, no. 6, Nov-Dec. 2008, .pp 360-372 The material in this document is covered by the provisions of the Copyright Act, by Canadian laws, policies, regulations and international agreements. Such provisions serve to identify the information source and, in specific instances, to prohibit reproduction of materials without written permission. For more information visit http://laws.justice.gc.ca/en/showtdm/cs/C-42Les renseignements dans ce document sont protégés par la Loi sur le droit d'auteur, par les lois, les politiques et les règlements du Canada et des accords internationaux. Ces dispositions permettent d'identifier la source de l'information et, dans certains cas, d'interdire la copie de documents sans permission écrite. Pour obtenir de plus amples renseignements : http://lois.justice.gc.ca/fr/showtdm/cs/C-42 Integrated Decision Support System for Optimal Renewal Planning of Sewer NetworksMahmoud Halfawy*, Leila Dridi*, and Samar Baker * AbstractMunicipalities are under increasing pressure to adopt proactive and optimized renewal strategies to reduce the risks, lifecycle costs, and resources needed to maintain acceptable performance and service levels of their infrastructure assets. A new integrated approach for optimal renewal planning of municipal infrastructure systems has been developed. This paper discusses the application of the proposed approach to implement a GIS-based Decision Support System (DSS) to support the renewal planning of sewer networks.Condition rating, risk assessment, and prioritization techniques are described. A procedure for identifying and selecting the most suitable renewal technologies is also presented. A genetic algorithm-based multi-objective optimization technique is used to find a Pareto front of feasible solutions,...

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An Integer Program for Optimizing Sanitary Sewer Rehabilitation Over a Planning Horizon

Cited by 15 publications

References 0 publications

Optimizing cluster selections for the replacement planning of water distribution systems

Optimizing cluster selections for the replacement planning of water distribution systems

Optimal Design of Regional Wastewater Pipelines and Treatment Plant Systems

Integrated Decision Support System for Optimal Renewal Planning of Sewer Networks

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