Gondwana: A Generic Optimization Tool for Drinking Water Distribution Systems Design and Operation

Thienen, P. van; Vertommen, Ina

doi:10.1016/j.proeng.2015.08.978

Cited by 11 publications

(7 citation statements)

References 11 publications

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“…where, , is the actual head at node and scenario , , is the minimum head to allow any flow to the node, and , is the service head to fully satisfy nodal demand. The exponent is usually set to 0.5 [11]. In order to compute pressure driven demands, the pressure driven demand extension for EPANET (EPANET.pdd) developed by [14] has been built in Gondwana.…”

Section: The Proposed Methodologymentioning

confidence: 99%

“…This is formulated as an optimization problem, in which the decision variables are the valves to operate (open or closed), and the objective function is to maximize the network resilience, expressed as demand satisfaction rate. Gondwana [11], a generic optimization tool for drinking water distribution networks, is used. Different objective functions are considered, in order to understand which is the most appropriate to improve network performance during critical scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Valve Operation for Restoring Functionality of WDN during Critical Events

Blokker

Cristo

Gentile

et al. 2020

The 4th EWaS International Conference: Valuing the Water, Carbon, Ecological Footprints of Human Activities

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Water distribution networks are expected to fulfill the water demand by all consumers and at all times, even during critical scenarios, such as pipe failures. In this work, a methodology is proposed to maximize the quality of service during pipe failures by operating valves. The selection of the valves to operate is done by solving an optimization problem using Gondwana, a generic optimization tool for drinking water distribution networks. Different objective functions and different failure scenarios are investigated, considering a real-life water distribution network. The analysis is performed considering the peak demand condition. The proposed methodology is useful for water companies in managing the operation of their networks during critical scenarios.

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Section: The Proposed Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Valve Operation for Restoring Functionality of WDN during Critical Events

Blokker

Cristo

Gentile

et al. 2020

The 4th EWaS International Conference: Valuing the Water, Carbon, Ecological Footprints of Human Activities

Self Cite

View full text Add to dashboard Cite

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“…Other programs for water network optimization such as GAnet [19] or Gondwana [20] have been developed previously. These programs integrate a hydraulic network solver model with an optimization algorithm but they do not allow to evaluate the performance of different algorithms for a single case study.…”

Section: Introductionmentioning

confidence: 99%

jHawanet: An Open-Source Project for the Implementation and Assessment of Multi-Objective Evolutionary Algorithms on Water Distribution Networks

Gutiérrez-Bahamondes

Salgueiro

Silva-Rubio

et al. 2019

Water

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Efficient design and management of water distribution networks is critical for conservation of water resources and minimization of both energy requirements and maintenance costs. Several computational routines have been proposed for the optimization of operational parameters that govern such networks. In particular, multi-objective evolutionary algorithms have proven to be useful both properly describing a network and optimizing its performance. Despite these computational advances, practical implementation of multi-objective optimization algorithms for water networks is an abstruse subject for researchers and engineers, particularly since efficient coupling between multi-objective algorithms and the hydraulic network model is required. Further, even if the coupling is successfully implemented, selecting the proper set of multi-objective algorithms for a given network, and addressing the quality of the obtained results (i.e., the approximate Pareto frontier) introduces additional complexities that further hinder the practical application of these algorithms. Here, we present an open-source project that couples the EPANET hydraulic network model with the jMetal framework for multi-objective optimization, allowing flexible implementation and comparison of different metaheuristic optimization algorithms through statistical quality assessment. Advantages of this project are discussed by comparing the performance of different multi-objective algorithms (i.e., NSGA-II, SPEA2, SMPSO) on case study water pump networks available in the literature.

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“…Numerical optimization techniques can therefore be useful in solving these problems. To this end, KWR has developed Gondwana: a generic software platform for the optimization of drinking water distribution networks [1], which uses EPANET [2] for the hydraulic simulations. The Inspyred library provides metaheuristic optimization methods [3] (a modified genetic algorithm is used).…”

Section: Introductionmentioning

confidence: 99%

“…The Inspyred library provides metaheuristic optimization methods [3] (a modified genetic algorithm is used). The performance of Gondwana has already been demonstrated on small scale benchmark problems and real-life large networks [1,4,5].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of and Transition towards Water Distribution Network Blueprints

Vertommen¹,

Laarhoven²,

Thienen³

et al. 2018

EWaS3 2018

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The design of network blueprints (ideal design of water distribution networks taking into account the existing infrastructure) is optimized considering the minimization of costs while satisfying the required pressure and flow velocities. The optimal transition from the existing infrastructure towards the blueprint is described by the minimization of pipe failures or maximization of hydraulic performance and the number of construction sites, where old pipes are replaced by new ones, in each transition phase. Both problems are solved with Gondwana. An application to the network of Helmond-Mierlo (The Netherlands) shows that the costs for the optimized blueprint are only 64% of those from the currently existing infrastructure, while the hydraulic performance is improved. The optimized transition shows that a larger number of intervention sites allows for a higher reduction of pipe failures and a better hydraulic performance of the network.

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Gondwana: A Generic Optimization Tool for Drinking Water Distribution Systems Design and Operation

Cited by 11 publications

References 11 publications

Optimal Valve Operation for Restoring Functionality of WDN during Critical Events

Optimal Valve Operation for Restoring Functionality of WDN during Critical Events

jHawanet: An Open-Source Project for the Implementation and Assessment of Multi-Objective Evolutionary Algorithms on Water Distribution Networks

Optimal Design of and Transition towards Water Distribution Network Blueprints

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