Standard

Iterative Multistage Method for a Large Water Network Sectorization into DMAs under Multiple Design Objectives. / Gilbert, Denis ; Abraham, E.; Montalvo, Idel; Piller, Olivier.

In: Journal of Water Resources Planning and Management, Vol. 143, No. 11, 2017.

Research output: Scientific - peer-reviewArticle

Harvard

Gilbert, D, Abraham, E, Montalvo, I & Piller, O 2017, 'Iterative Multistage Method for a Large Water Network Sectorization into DMAs under Multiple Design Objectives' Journal of Water Resources Planning and Management, vol 143, no. 11. DOI: 10.1061/(ASCE)WR.1943-5452.0000835

APA

Gilbert, D., Abraham, E., Montalvo, I., & Piller, O. (2017). Iterative Multistage Method for a Large Water Network Sectorization into DMAs under Multiple Design Objectives. Journal of Water Resources Planning and Management, 143(11). DOI: 10.1061/(ASCE)WR.1943-5452.0000835

Vancouver

Gilbert D, Abraham E, Montalvo I, Piller O. Iterative Multistage Method for a Large Water Network Sectorization into DMAs under Multiple Design Objectives. Journal of Water Resources Planning and Management. 2017;143(11). Available from, DOI: 10.1061/(ASCE)WR.1943-5452.0000835

Author

Gilbert, Denis ; Abraham, E. ; Montalvo, Idel ; Piller, Olivier. / Iterative Multistage Method for a Large Water Network Sectorization into DMAs under Multiple Design Objectives. In: Journal of Water Resources Planning and Management. 2017 ; Vol. 143, No. 11.

BibTeX

@article{223101b1f1a244a6861d47c119936a4e,
title = "Iterative Multistage Method for a Large Water Network Sectorization into DMAs under Multiple Design Objectives",
abstract = "This paper considers the sectorization of a large water distribution network into district metered areas (DMAs) and simultaneously optimizes rehabilitation of the network with new pipes, control valves, and storage tanks. Since the available water resources are much smaller in the dry season, both the design and operational settings are optimized to satisfy water demand, water quality and pressure constraints, and efficiency indices under stringent conditions. Because of the heterogeneity of the multiple decision variables and the complicated way they interact through the multiple objectives (some complimentary and some conflicting), it is not possible to fully automize the simultaneous sectorization, rehabilitation and operational optimization. Therefore, we employ a multi-stage approach where engineering judgement and network graph simplification and visualization tools are employed to find a good feasible solution that is used as a first guess for further optimization of sectors and operational settings, to achieve feasible solutions with better cost of implementation, demand similarity among DMAs and better pressure uniformity in operations. A multi-objective Agent Swarm Optimization framework is used to iteratively change the sectors at the boundaries. For the final configuration, sequential linear programming is used to find optimal valve and pump settings.",
author = "Denis Gilbert and E. Abraham and Idel Montalvo and Olivier Piller",
year = "2017",
doi = "10.1061/(ASCE)WR.1943-5452.0000835",
volume = "143",
journal = "Journal of Water Resources Planning and Management",
issn = "0733-9496",
publisher = "ASCE",
number = "11",

}

RIS

TY - JOUR

T1 - Iterative Multistage Method for a Large Water Network Sectorization into DMAs under Multiple Design Objectives

AU - Gilbert,Denis

AU - Abraham,E.

AU - Montalvo,Idel

AU - Piller,Olivier

PY - 2017

Y1 - 2017

N2 - This paper considers the sectorization of a large water distribution network into district metered areas (DMAs) and simultaneously optimizes rehabilitation of the network with new pipes, control valves, and storage tanks. Since the available water resources are much smaller in the dry season, both the design and operational settings are optimized to satisfy water demand, water quality and pressure constraints, and efficiency indices under stringent conditions. Because of the heterogeneity of the multiple decision variables and the complicated way they interact through the multiple objectives (some complimentary and some conflicting), it is not possible to fully automize the simultaneous sectorization, rehabilitation and operational optimization. Therefore, we employ a multi-stage approach where engineering judgement and network graph simplification and visualization tools are employed to find a good feasible solution that is used as a first guess for further optimization of sectors and operational settings, to achieve feasible solutions with better cost of implementation, demand similarity among DMAs and better pressure uniformity in operations. A multi-objective Agent Swarm Optimization framework is used to iteratively change the sectors at the boundaries. For the final configuration, sequential linear programming is used to find optimal valve and pump settings.

AB - This paper considers the sectorization of a large water distribution network into district metered areas (DMAs) and simultaneously optimizes rehabilitation of the network with new pipes, control valves, and storage tanks. Since the available water resources are much smaller in the dry season, both the design and operational settings are optimized to satisfy water demand, water quality and pressure constraints, and efficiency indices under stringent conditions. Because of the heterogeneity of the multiple decision variables and the complicated way they interact through the multiple objectives (some complimentary and some conflicting), it is not possible to fully automize the simultaneous sectorization, rehabilitation and operational optimization. Therefore, we employ a multi-stage approach where engineering judgement and network graph simplification and visualization tools are employed to find a good feasible solution that is used as a first guess for further optimization of sectors and operational settings, to achieve feasible solutions with better cost of implementation, demand similarity among DMAs and better pressure uniformity in operations. A multi-objective Agent Swarm Optimization framework is used to iteratively change the sectors at the boundaries. For the final configuration, sequential linear programming is used to find optimal valve and pump settings.

UR - http://resolver.tudelft.nl/uuid:223101b1-f1a2-44a6-861d-47c119936a4e

U2 - 10.1061/(ASCE)WR.1943-5452.0000835

DO - 10.1061/(ASCE)WR.1943-5452.0000835

M3 - Article

VL - 143

JO - Journal of Water Resources Planning and Management

T2 - Journal of Water Resources Planning and Management

JF - Journal of Water Resources Planning and Management

SN - 0733-9496

IS - 11

ER -

ID: 17162648