Calibration of EPANET Using Genetic Algorithm

Jamasb, M.; Tabesh, Massoud; Rahimi, Mohamadtaghi

doi:10.1061/41024(340)77

Cited by 9 publications

(6 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In another case, the Epanet program also analyzed the irrigation network of the proposed Taq-Taq dam using hydraulic simulation software to study the distribution of pressure, velocity, and head in the pipeline to ensure the operation of the network (Karim & Sahib, 2019). In the Epanet method, several variables are considered: pipe friction factor (Hazen William Coefficient), nodal consumption, a combination of both and pipe diameter (Jamasb et al, 2008;Travis&May, 2007). For this reason, appropriate input is needed so that the model made can approach the actual condition of the existing network, both input properties of physical facilities (pumps, reservoirs of water sources, pipes, valves and others).…”

Section: Introductionmentioning

confidence: 99%

Epanet Model Clean Water Network Callibration Using Modified Roughness C Number Hazen William Method

Limbong

Suripin²,

Sudarnoutaomo³

2022

jpensil

View full text Add to dashboard Cite

The Epanet model in clean water pipelines is intended for time efficiency in calculating hydraulic behaviour. Calibration of the water pipe network is to compare the simulation results of the model to actual field observations and to see that the model that has been made is truly valid and reliable as a tool to determine the hydraulic behaviour of the network system when a change input into the system is given (e.g. the addition of pipelines and number of customer tapping debits). The pipe roughness coefficient (C) is a number that indicates the amount of energy loss due to friction between the flowing fluid and the pipe wall. The increasing age of the pipe will cause the pipe wall roughness to increase, and the energy loss will be even more significant. This research aims to calibrate the pipe network model by adjusting the C value of the actual pipe roughness coefficient according to the installed age. An initial simulation model was carried out by entering the standard pipe C value in the Hazen Williams energy loss equation in the Epanet link/pipe properties. Then a simulation is carried out by modifying the value of C according to the pipe's service life. For 600 mm steel pipe, change the C value from 150 to 87 (pipe age >30 years), HDPE 315 mm pipe changes in C value from 140 to 100 (pipe age >10 years) and 25-50 mm PVC pipe from 140 to 100 (pipe age >10 years). From the simulation results of the Epanet model-field observations, the average compressive height was obtained for five observation nodes.of 2 tails was performed paired sample test the pressure height value of the model-observation. Before modifying the value of C, the paired mean difference test results showed a significant difference between the simulation results of the model on field observations with a model significance value of 0.004, which means <0.005. There is a considerable difference between the simulations and observations, and the model is considered invalid. However, after modifying the value of C according to the actual age of the pipe, a paired sample test T average value of the compression model-observation was 0.098 > 0.005), which means that there is no significant difference between the simulation and observation. This means that the model made is quite valid. Product moment correlation between the model simulation height - field observations, the value of R = 0.967, the relationship is robust between the two results.

show abstract

Section: Introductionmentioning

confidence: 99%

Epanet Model Clean Water Network Callibration Using Modified Roughness C Number Hazen William Method

Limbong

Suripin²,

Sudarnoutaomo³

2022

jpensil

View full text Add to dashboard Cite

show abstract

“…Most previous works in network calibration and leakage detection are used Genetic Algorithm (GA) (Savic & Walters 1995;Sage & Wu 2006;Jamasb et al 2008;Behzadian et al 2009;Pérez et al 2011). GA is a revolution base algorithm that used pervious answer result to find correct direction for next generations.…”

mentioning

confidence: 99%

Leakage detection in water distribution networks by the use of analytical and experimental models

Nasirian

Maghrebi

Mohtashami

2021

Water Practice and Technology

View full text Add to dashboard Cite

Recently, calibration based methods are considered to determine the quantities and locations of all leakages in a Water Distribution Network (WDN), simultaneously. In this paper, the accuracy of detecting leakages using Ant Colony Optimization (ACO) in two networks including a hypothetical and a laboratorial network is investigated. A novel method is introduced to analyze the effects of measurement errors on demand calibration in an under-determined problem. The results confirm the ability of the optimization-based method detecting the exact locations and values of the leakages in a WDN. Also, it is emphasized that merely suitable fitnesses cannot provide sufficient confidence in result accuracy. To overcome this difficulty, the correctness of leakage detection can be verified in a sampling design problem. Moreover, to check the reliability of leakage detection an alternative method based on various results is introduced in this research.

show abstract

“…Jamasb et al [6] prepared an optimization problem using genetic algorithm and developed a computer program and linked it to EPANET to calibrate the model. The problem optimization was prepared by using the genetic algorithm tool box in MATLAB7.…”

Section: Literature Reviewmentioning

confidence: 99%

Using maximum entropy for discharge calculation in open channel flow

Diniz

Pereira

Bispo

et al. 2013

Water Resources Management VII

View full text Add to dashboard Cite

This paper uses the maximum entropy model to calculate the discharge in open channels. Rivers and an artificial rectangular channel are considered in this paper. The maximum entropy model needs to gauge the flow velocity only in three points to calculate the discharge of any given open channel. The flow velocity needs to be gauged on the river thalweg. A genetic algorithm was used to determine the three parameters of the maximum entropy equation. The discharge calculation results obtained by the maximum entropy model aided by the genetic algorithm were compared to the discharge calculation results obtained by the traditional (using a rotor current meter) and acoustic methods (Acoustic Doppler Current Profiler or ADCP). It was concluded that the maximum entropy model is reliable because it yields results very close to the results obtained by the traditional and acoustic methods. It was also concluded that it makes the discharge measurement easier in any given open channel.

show abstract

Calibration of EPANET Using Genetic Algorithm

Cited by 9 publications

References 5 publications

Epanet Model Clean Water Network Callibration Using Modified Roughness C Number Hazen William Method

Epanet Model Clean Water Network Callibration Using Modified Roughness C Number Hazen William Method

Leakage detection in water distribution networks by the use of analytical and experimental models

Using maximum entropy for discharge calculation in open channel flow

Contact Info

Product

Resources

About