Calibration of water quality model for distribution networks using genetic algorithm, particle swarm optimization, and hybrid methods

Minaee, Roya Peirovi; Afsharnia, Mojtaba; Moghaddam, Alireza; Ebrahimi, Ali; Askarishahi, Mohsen; Mokhtari, Mehdi

doi:10.1016/j.mex.2019.03.008

Cited by 21 publications

(7 citation statements)

References 11 publications

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“…In fact, this optimization was performed in the AQUASIM software before confirming it in MSX because AQUASIM's optimization procedures to achieve specified targets can be applied to any input. For the usually much more complex distribution systems, which often involve booster doses or multiple dosed sources, more systematic search procedures, such as genetic algorithms or particle swarm methods (Peirovi Minaee et al, 2019), are needed to ensure that the optimization is most likely to find a global optimum with high efficiency. However, this requires embedding EPANET and MSX in a broader supervisory software environment such as MATLAB, as Monteiro et al (2020) did.…”

Section: Resultsmentioning

confidence: 99%

Integrated EPANET‐MSX process models of chlorine and its by‐products in drinking water distribution systems

Fisher

2023

Water Environment Research

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EPANET and its commercial derivatives are the most widely‐used software packages for modeling free chlorine and its by‐products in drinking water distribution systems. Yet, they are not sufficiently accurate, general, or efficient for deriving optimal chlorine dosing strategies at different seasonal temperatures. To overcome EPANET's limitations, an integrated set of rigorously validated multispecies process models are proposed for application within the EPANET‐MSX environment. An executable (command‐line) version of these MSX models is supplied for use either within the MSX environment or embedded in commercial versions of MSX. A new general method was devised to obtain output of any intermediate coefficient or variable involved in the simulation. This overcomes MSX's limited output options. When the debugged models were applied to a real distribution system, the optimal chlorine dose for summer required almost double the chlorine dose needed in winter. A lower initial dose combined with a downstream booster dose required less chlorine in total. Formal optimization techniques are needed to efficiently obtain similar strategies in more complex systems.Practitioner Points EPANET water quality models are not accurate or general enough for deriving optimal chlorine dosing strategies in distribution systems. Integrated EPNET‐MSX models of chlorine reactions in bulk water and at pipe walls, and associated by‐product formation, overcome EPANET’s limitations. To verify model authenticity, a general technique was developed to obtain values of coefficients and variables within an EPANET‐MSX simulation. EPANET‐MSX command lines implementing these integrated EPANET‐MSX models are presented with verified results for optimal initial and booster dosing strategies. Optimal summer dosing in a real system of rough pipes was almost double that required in winter.

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Section: Resultsmentioning

confidence: 99%

Integrated EPANET‐MSX process models of chlorine and its by‐products in drinking water distribution systems

Fisher

2023

Water Environment Research

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“…This complex system includes various types of components, including pipes, pumps, valves, tanks, reservoirs, meters, fittings, and other hydraulic equipment [12] . Such systems can range in size from small plants serving groups of as few as 25 people to urban networks catering to millions [13] . As the distribution system constitutes the majority of the physical infrastructure for water supply, it poses significant operational and public health management challenges.…”

Section: Literature Reviewmentioning

confidence: 99%

GA-Sense: Sensor placement strategy for detecting leaks in water distribution networks based on time series flow and genetic algorithm

Shiddiqi,

Za'in,

Lathifah

et al. 2024

MethodsX

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“…The model calibration problem (i.e., calibration of pipe roughness) has been formulated as an optimization problem. Considering a good measure of accuracy, the root mean squared error (RMSE) has previously been widely considered in hydraulic model calibration problems [4,[48][49][50]. Although it may reduce the impact of extreme errors, the use of RMSE is considered sufficient for the aim of this study which is to investigate the impact of the combination of different optimization algorithms and decision variable set formulations on hydraulic model calibration.…”

Section: Optimization Problem Formulationmentioning

confidence: 99%

Simpler Is Better—Calibration of Pipe Roughness in Water Distribution Systems

Zhao

Simpson

et al. 2022

Water

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Hydraulic models of water distribution systems (WDSs) need to be calibrated, so they can be used to help to make informed decisions. Usually, hydraulic model calibration follows an iterative process of comparing the simulation results from the model with field observations and making adjustments to model parameters to make sure an acceptable level of agreement between predicted and measured values (e.g., water pressure) has been achieved. However, the manual process can be time-consuming, and the termination criterion relies on the modeler’s judgment. Therefore, various optimization-based calibration methods have been developed. In this study, three different optimization methods, i.e., Sequential Least Squares Programming (SLSQP), a Genetic Algorithm (GA) and Differential Evolution (DE), are compared for calibrating the pipe roughness of WDS models. Their performance is investigated over four different decision variable set formulations with different levels of discretization of the search space. Results obtained from a real-world case study demonstrate that compared to traditional engineering practice, optimization is effective for hydraulic model calibration. However, a finer search space discretization does not necessarily guarantee better results; and when multiple methods lead to similar performance, a simpler method is better. This study provides guidance on method and formulation selection for calibrating WDS models.

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Calibration of water quality model for distribution networks using genetic algorithm, particle swarm optimization, and hybrid methods

Abstract: Graphical abstract

Cited by 21 publications

References 11 publications

Integrated EPANET‐MSX process models of chlorine and its by‐products in drinking water distribution systems

Integrated EPANET‐MSX process models of chlorine and its by‐products in drinking water distribution systems

GA-Sense: Sensor placement strategy for detecting leaks in water distribution networks based on time series flow and genetic algorithm

Simpler Is Better—Calibration of Pipe Roughness in Water Distribution Systems

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