Optimization of water distribution networks

Samani, Hossein Mohammad Vali; Naeeni, Seyed Taghi Omid

doi:10.1080/00221689609498462

Cited by 23 publications

(6 citation statements)

References 2 publications

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“…Advantage of this or similar equations are to be explained in further discussion. Previous calculation of the gas network of Kragujevac from 1994. is very similar with calculation of water distribution networks (Sorbu and Borza, 1997;Samani and Naeeni, 1996;Kim, 2007), and according to this fact some deviations are occurred in real conditions apropos calculated results. This paper is referring to work of Hardy Cross (1936) in the field of analysis of flows in networks, with improvement of method by Epp and Fowler (1970) which is also based on in loop-oriented equations (modified Hardy Cross method).…”

Section: Introductionsupporting

confidence: 66%

Influence of Friction Factor and Flow Equation on Calculation of Gas-Distribution Pipeline Networks

Brkić¹

2018

Preprint

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Abstract Here is shown method for the hydraulic solution of a looped gas-pipeline networks. Calculation of presented network is done according to principles of Hardy Cross method. The optimization was carried out by iteration of the pipes diameters, node consumptions are known and flow velocities through pipes have to stand below certain values. Accent is on determination of appropriate friction factor, and on selection of representative equation for natural gas flow under presented conditions in the network. Inappropriate usage of friction factor, equally as inappropriate usage of gas flow equation can lead to inaccurate final results. Here is shown new facts in comparison to previous calculation of gas distribution network in Kragujevac, Serbia which is done in 1994. After the implementation, measurements in situ have performed, and real measured values deviate from calculated. Causes for these errors are investigated, and improved and more accurate procedure is shown.

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Section: Introductionsupporting

confidence: 66%

Influence of Friction Factor and Flow Equation on Calculation of Gas-Distribution Pipeline Networks

Brkić¹

2018

Preprint

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“…Other developments in LPG are used in Sonak and Bhave [5] and Sârbu and Borza [6]. Nonlinear programming (NLP) technique was developed and applied by Samani and Naeeni [7], Djebedjian et al [8] and Sârbu and Kalmár [9].…”

Section: Introductionmentioning

confidence: 99%

A New Adaptive Penalty Method for Constrained Genetic Algorithm and Its Application to Water Distribution Systems

Djebedjian

Yaseen

Rayan

2006

Volume 3: Materials and Joining; Pipeline Automation and Measurement; Risk and Reliability, Parts a and B

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This paper presents a new adaptive penalty method for genetic algorithms (GA). External penalty functions have been used to convert a constrained optimization problem into an unconstrained problem for GA-based optimization. The success of the genetic algorithm application to the design of water distribution systems depends on the choice of the penalty function. The optimal design of water distribution systems is a constrained non-linear optimization problem. Constraints (for example, the minimum pressure requirements at the nodes) are generally handled within genetic algorithm optimization by introducing a penalty cost function. The optimal solution is found when the pressures at some nodes are close to the minimum required pressure.The goal of an adaptive penalty function is to change the value of the penalty drawdown coefficient during the search allowing exploration of infeasible regions to find optimal building blocks, while preserving the feasibility of the final solution. In this study, a new penalty coefficient strategy is assumed to increase with the total cost at each generation and inversely with the total number of nodes. The application of the computer program to case studies shows that it finds the least cost in a favorable number of function evaluations if not less than that in previous studies and it is computationally much faster when compared with other studies.

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“…Among various optimization techniques, linear programming has been widely used to optimize water distribution systems (Bhave and Sonak 1992), but many researchers have used nonlinear optimization techniques (Ormsbee 1989;Samani and Naeeni 1996). The genetic algorithm optimization is a powerful tool to solve trial and error problems in hydraulics and hydrology, including the design of cascade stilling basins (Bakhtyar and Barry 2009), water distribution systems (Olsson et al 2009;Babayan et al 2007), pipe networking systems (Davidson et al 1999;Wu and Simpson 2002;Tabesh et al 2009), and calibration of storm water runoff models (di Pierro et al 2006;Fernando and Jayawardena 2007).…”

Section: Introductionmentioning

confidence: 99%

Design-Variable Optimization of Hydropower Tunnels and Surge Tanks Using a Genetic Algorithm

Fathi-Moghadam

Haghighipour

Mohammad

et al. 2013

J. Water Resour. Plann. Manage.

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Optimal design of tunnels and surge tanks is a major concern in the implementation and operation of large hydropower plants, particularly those in which tunnels are long and water hammer is likely. In this paper, flow simulation and an optimization process have been linked in an iterative manner to develop a general model for the optimal design of hydropower tunnels and surge tanks for the emergency condition of operation (maximum surge pressure). The governing equations for the analysis of transient flow in conduits are solved using a finite difference scheme. Furthermore, a genetic algorithm (GA) optimization technique is utilized to select the optimal diameter for the headrace tunnel, penstocks, and surge tanks. The benefit-cost ratio is considered as the objective function in the optimization analysis. The proposed method was used to design diameters for Marun hydropower tunnels (an in-operation large hydropower dam located in southwest Iran). The results were compared with results from a nonlinear optimization technique. They revealed considerable savings in construction cost, attributable to the application of GA. The calculated pressures across the tunnels with and without surge tank agree with valve closure theory and previous studies. The model is able to optimize diameters for a branching system of tunnels and penstocks with surge tanks.

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Optimization of water distribution networks

Cited by 23 publications

References 2 publications

Influence of Friction Factor and Flow Equation on Calculation of Gas-Distribution Pipeline Networks

Influence of Friction Factor and Flow Equation on Calculation of Gas-Distribution Pipeline Networks

A New Adaptive Penalty Method for Constrained Genetic Algorithm and Its Application to Water Distribution Systems

Design-Variable Optimization of Hydropower Tunnels and Surge Tanks Using a Genetic Algorithm

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