Parallel Computing in Water Network Analysis and Leakage Minimization

Alonso, Jesús José Beltrán de Heredia; Alvarruiz, Fernando; Guerrero, David; Hernández, Vicente; Ruiz, Pedro A.; Vidal, Antonio M.; Martinez, Fernando J.; Vercher, Juan; Ulanicki, Bogumił

doi:10.1061/(asce)0733-9496(2000)126:4(251)

Cited by 63 publications

(25 citation statements)

References 6 publications

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“…Among the different approaches to introduce HPC in the simulation of WDS, [3] explores the parallelization of Epanet in distributed memory platforms using MPI, considering the simulation of heads and pressures using GGA, and also the simulation of water quality and leakage minimization. In the parallelization of GGA, the key point is the solution of the linear system, which is carried out by means of a multifrontal sparse Cholesky method.…”

Section: Related Workmentioning

confidence: 99%

Improving the performance of water distribution systems’ simulation on multicore systems

2016

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Hydraulic solvers for the simulation of flows and pressures in water distribution systems (WDS) are used extensively, and their computational performance is key when considering optimization problems. This paper presents an approach to speedup the hydraulic solver using OpenMP with two efficient methods for WDS simulation. The paper identifies the different tasks carried out in the simulation, showing their contribution to the execution time, and selecting the target tasks for parallelization. After describing the algorithms for the selected tasks, parallel OpenMP versions are derived, with emphasis on the task of linear system update. Results are presented for four different large WDS models, showing considerable reduction in computing time.

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Section: Related Workmentioning

confidence: 99%

Improving the performance of water distribution systems’ simulation on multicore systems

2016

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“…The leakage is assumed to be distributed over the nodes, which have a demand and the set of these nodes will be denoted by d I . The leakage exponent α ranges from 0.5 to 2.5 depending on many factors described in the literature (Jowitt and Xu, 1990;Germanopoulos, 1995;Alonso et al, 2000;Noack and Ulanicki, 2006;Ulanicki and Prescott, 2006). In the current study the exponent is assumed to be 1.1 α = , whilst coefficient k i depends on the demand at each node i.e.…”

Section: Leakage Modelmentioning

confidence: 99%

“…Vairavamoorthy and Lumbers, (1998) described an optimisation method to minimise leakage in water distribution systems through the effective settings of flow reduction valves and reduced the water leakage substantially. Alonso et al, (2000) presented a parallel computing based software demonstrator for simulation and leakage minimisation. The optimisation problem of leakage minimisation using PRVs was solved by means of sequential quadratic programming and the leakage was reduced by 25% to 60% of its original values.…”

Section: Introductionmentioning

confidence: 99%

Pressure Control in District Metering Areas with Boundary and Internal Pressure Reducing Valves

Ulanicki

AbdelMeguid

Bounds

et al. 2009

Water Distribution Systems Analysis 2008

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“…Following the topological structure of the network, the district method, as applied by Alonso et al (2000), involves inserting valves on all district supply pipes. This method is based on the assumption that the distribution network is organized in urban districts, so it is not always suitable for existing urban networks that are grown without partitions.…”

Section: Pressure Reducing Valves (Prv) Insertion and Calibration Metmentioning

confidence: 99%

Location and Calibration of Valves in Water Distribution Networks Using a Scatter-Search Meta-heuristic Approach

Liberatore

Sechi

2008

Water Resour Manage

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Recently, there has been an increase in the use of meta-heuristic techniques addressing water distribution network design and management optimization problems. The meta-heuristic approach applied to water distribution systems has provided interesting results both for optimum pipe diameter sizing and for the location and management of network pressure control devices (i.e., pumps and valves). Regarding the insertion and calibration of pressure regulation valves, the use of meta-heuristic techniques is relatively recent. We search to strategically placing the valves in order to achieve pressure control in the network and, therefore, the valves must be calibrated in relation to water demand trends over time. In the Pressure Reference Method (PRM) described in this paper, the search for valve location is restricted to pipe-branch sets defined on the basis of hydraulic analysis and considering the range between minimum and maximum acceptable pressures in the network. In the PRM approach, the Scatter-Search (Glover and Laguna, 1997) meta-heuristic procedures are applied to obtain the optimal location and calibration of valves in the water distribution network.

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Parallel Computing in Water Network Analysis and Leakage Minimization

Abstract: In this paper, a parallel computing based software demonstrator for the simulation and leakage minimization of water networks is presented.

Cited by 63 publications

References 6 publications

Improving the performance of water distribution systems’ simulation on multicore systems

Improving the performance of water distribution systems’ simulation on multicore systems

Pressure Control in District Metering Areas with Boundary and Internal Pressure Reducing Valves

Location and Calibration of Valves in Water Distribution Networks Using a Scatter-Search Meta-heuristic Approach

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