Optimal Operation of Water Distribution Pumps Considering Water Quality

Altan-Sakarya, A. Burcu; Mays, Larry W.

doi:10.1061/(asce)0733-9496(2000)126:4(210)

Cited by 103 publications

(41 citation statements)

References 20 publications

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“…The choice of this tool is due to be a free and widely tested robust model and with a large community of users all the world (e.g., Martínez et al, 1999;Hernández et al, 1999;Sakarya and Mays, 2000;Prescott and Ulanicki, 2001;Araujo et al, 2002, 200a). For each user, it is allowable to access to all capacities of simulation of the model through programmable routines in C, Basic or Paschal in MS Windows R environment (version of EPANET 2.0 (i.e., www.dh.lnec.pt/Nes/epanet)).…”

Section: Hydraulic Solvermentioning

confidence: 99%

Pressure Control for Leakage Minimisation in Water Distribution Systems Management

Araújo

Ramos²,

Coelho

2006

Water Resour Manage

311

209

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A model to support decision systems regarding the quantification, location and opening adjustment of control valves in a network system, with the main objective to minimise pressures and consequently leakage levels is developed. This research work aims at a solution that allows simultaneously optimising the number of valves and its location, as well as valves opening adjustments for simulation in an extended period, dependently of the system characteristics. EPANET model is used for hydraulic network analysis and two operational models are developed based on the Genetic Algorithm optimisation method for pressure control, and consequently leakage reduction, since a leak is a pressure dependent function. In these two modules, this method has guaranteed an adequate technique performance, which demands a global evaluation of the system for different scenarios. A case study is presented to show the efficiency of the system by pressure control through valves management.

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Section: Hydraulic Solvermentioning

confidence: 99%

Pressure Control for Leakage Minimisation in Water Distribution Systems Management

Araújo

Ramos²,

Coelho

2006

Water Resour Manage

311

209

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“…Sakarya and Mays [116] presented a simulating annealing [117] scheme for optimizing the operation of a water distribution system with water quality constraints. Cui and Kuczera [118] used a genetic algorithm (GA) [25,119] and the shuffled complex evolution (SCE) method [120] to optimize urban water supply headworks.…”

Section: Evolutionary Computationmentioning

confidence: 99%

“…Sakarya and Mays [116] solved the same problem by linking the GRG2 nonlinear code [23] with EPANET. In both models, treatment facilities, valves, and varying electrical energy tariffs throughout the simulation were not considered.…”

Section: Water Quality Analysis Inclusion In Distribution Systemsmentioning

confidence: 99%

Water Distribution Networks

Ostfeld

2014

Studies in Computational Intelligence

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A water distribution system is a complex assembly of hydraulic control elements connected together to convey quantities of water from sources to consumers. The typical high number of constraints and decision variables, the nonlinearity, and the non-smoothness of the head-flow-water quality governing equations are inherent to water supply systems planning and management problems. Traditional methods for solving water distribution systems management problems, such as the least cost design and operation problem, utilized linear/ nonlinear optimization schemes which were limited by the system size, the number of constraints, and the number of loading conditions. More recent methodologies employ heuristic optimization techniques, such as genetic algorithms or ant colony optimization as stand alone or hybrid data driven-heuristic schemes. This book chapter reviews some of the more traditional water distribution systems problem algorithms and solution methodologies. It is comprised of sub sections on least cost and multi-objective optimal design of water networks, reliability incorporation in water supply systems design, optimal operation of water networks, water quality analysis inclusion in distribution systems, water networks security related topics, and a look into the future.

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“…Other authors employ discrete dynamic programming [9][10][11][12][13][14], which is mathematically sound but only applicable to small networks unless specific properties can be exploited to increase efficiency. Optimization methods based on nonlinear models (mostly for the pumps only) are reported in [15][16][17][18][19]. These approaches employ computationally expensive meta-heuristics or suffer from inefficient coupling of gradient-based optimization with non-smooth simulation by existing network hydraulics software, such as EPANET [20].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Programming Techniques for Operative Planning in Large Drinking Water Networks

Burgschweiger¹,

Gnädig²,

Steinbach³

2009

TOAMJ

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Mathematical decision support for operative planning in water supply systems is highly desirable; it leads, however, to very difficult optimization problems. We propose a nonlinear programming approach that yields practically satisfactory operating schedules in acceptable computing time even for large networks. Based on a carefully designed model supporting gradient-based optimization algorithms, this approach employs a special initialization strategy for convergence acceleration, special minimum up and down time constraints together with pump aggregation to handle switching decisions, and several network reduction techniques for further speed-up. Results for selected application scenarios at Berliner Wasserbetriebe demonstrate the success of the approach.

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Optimal Operation of Water Distribution Pumps Considering Water Quality

Cited by 103 publications

References 20 publications

Pressure Control for Leakage Minimisation in Water Distribution Systems Management

Pressure Control for Leakage Minimisation in Water Distribution Systems Management

Water Distribution Networks

Nonlinear Programming Techniques for Operative Planning in Large Drinking Water Networks

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