Methodology for Improving Pump Operation Efficiency

Ormsbee, Lindell; Walski, Thomas M.; Chase, Donald V.; Sharp, Wayne

doi:10.1061/(asce)0733-9496(1989)115:2(148)

Cited by 64 publications

(26 citation statements)

References 6 publications

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“…Houghtalen and Loftis [86] suggested aggregating training simulations with human operational knowledge and dynamic programming to minimize operational costs. Ormsbee et al [87] developed a coupled dynamic programming and enumeration scheme for a single pressure zone in which the optimal tank trajectory is found using dynamic programming and the pumps scheduling using enumeration. Zessler and Shamir [88] used an iterative dynamic programming method to find the optimal scheduling of pumps of a regional water supply system.…”

Section: Dynamic Programmingmentioning

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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Section: Dynamic Programmingmentioning

confidence: 99%

Water Distribution Networks

Ostfeld

2014

Studies in Computational Intelligence

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“…The model considers the groundwater budget through the drainage, evaporation, areal recharge, injection wells, and pumping wells. The groundwater model has been calibrated with the measured groundwater head data for the period between 1989and 1998(Southwest Ground-water Consultants, Inc. 2003.…”

Section: Chandler Water Distribution and Groundwater Modelsmentioning

confidence: 99%

“…Well pump operation inefficiencies may be caused by inefficient pumps, inefficient pump combinations, and inefficient pump scheduling (Ormsbee et al 1989). In practice, pump efficiency and pump combinations should be considered when selecting well pumps according to the aquifer and distribution system hydraulics such that the wells are operated at approximately the desired pumping rate.…”

Section: Introductionmentioning

confidence: 99%

“…In practice, pump efficiency and pump combinations should be considered when selecting well pumps according to the aquifer and distribution system hydraulics such that the wells are operated at approximately the desired pumping rate. Therefore, the objectives of optimizing the pump operations include tank water level optimization (Ormsbee et al 1989;van Zyl et al 2004), energy (cost) minimization (Ormsbee and Reddy 1995), sufficient water quality at end-users (Ostfeld and Shamir 1993a, b;Sakarya and Mays 2000), and sufficient chlorine (disinfectant) level in the pipes (Boccelli et al 1998;Constans et al 2003;Goldman and Mays 2005).…”

Section: Introductionmentioning

confidence: 99%

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Conjunctive Management of Large-Scale Pressurized Water Distribution and Groundwater Systems in Semi-Arid Area with Parallel Genetic Algorithm

Tsai

Katiyar

Toy³

et al. 2008

Water Resour Manage

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This study develops a production well management model for the conjunctive management of water resources in semi-arid areas. The management model integrates a large-scale pressurized water distribution system and a three-dimensional groundwater model under an optimization framework. The well pump operations optimization problem is formulated as a Boolean integer nonlinear programming (BINLP) problem to optimize the periodic 24-h pump on/off operations over a 1-week operation horizon. The management model considers multiple objectives and is solved by a parallel genetic algorithm (PGA) to overcome the difficulty of solving the BINLP problem. The PGA significantly reduces computation time for a case study in Chandler, Arizona. The Chandler water distribution model is built based on EPANET, and the Chandler three-dimension groundwater model is developed using MODFLOW. The high performance computing (HPC) of the genetic algorithm makes it possible to obtain 24-h real-time operations in the 7-day forecast model. The tank reliability, resilience, and vulnerability (R-R-V) are evaluated to infer the system reliability. The Pareto curve provides compromise solutions between the two competing objectives of energy reduction and pressure violation reduction.

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“…Para tornar os modelos de simulação de sistemas úteis é fundamental calibrá-los antes de utilizá-los (WALSKI, 1983, ORMSBEE et al, 1989e RIGHETTO, 2001 -confiança -resultados fornecidos pelo modelo computacional são frequentemente utilizados para tomadas de decisão na operação ou melhorias nos projetos hidráulicos. A calibração produz informações sobre as condições reais do sistema, aumentando a confiança e fornecendo ao responsável pela operação ou projeto, previsões sobre os procedimentos para melhoria do sistema.…”

Section: Calibração De Sistemas De Distribuição De áGuaunclassified

Extração de regras operacionais ótimas de sistemas de distrubuição de água através de algoritmos genéticos multiobjetivo e aprendizado de máquina

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Methodology for Improving Pump Operation Efficiency

Cited by 64 publications

References 6 publications

Water Distribution Networks

Water Distribution Networks

Conjunctive Management of Large-Scale Pressurized Water Distribution and Groundwater Systems in Semi-Arid Area with Parallel Genetic Algorithm

Extração de regras operacionais ótimas de sistemas de distrubuição de água através de algoritmos genéticos multiobjetivo e aprendizado de máquina

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