Metaheuristic learning algorithms for accurate prediction of hydraulic performance of porous embankment weirs

Rahmanshahi, Mostafa; Jafari-Asl, Jafar; Fathi-Moghadam, Manoochehr; Ohadi, Sima; Mirjalili, Seyedali

doi:10.1016/j.asoc.2023.111150

Cited by 5 publications

(1 citation statement)

References 63 publications

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“…Meta-heuristic algorithms are proposed as the most frequently implemented methods for optimizing pump scheduling programs in WDSs regarding their proven powerful ability to find non-dominated optimal solution sets and convergence speed [25]. Simple design and implementation, high performance, and robustness are the superior characteristics of these techniques [30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Reducing Water Conveyance Footprint through an Advanced Optimization Framework

Jafari-Asl,

Hashemi Monfared,

Abolfathi

2024

Water

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This study investigates the optimal and safe operation of pumping stations in water distribution systems (WDSs) with the aim of reducing the environmental footprint of water conveyance processes. We introduced the nonlinear chaotic honey badger algorithm (NCHBA), a novel and robust optimization method. The proposed method utilizes chaotic maps to enhance exploration and convergence speed, incorporating a nonlinear control parameter to effectively balance local and global search dynamics. Single-objective optimization results on a WDS show that NCHBA outperforms other algorithms in solution accuracy and convergence speed. The application of the proposed approach on a water network with two variable-speed pumps demonstrated a significant 27% reduction in energy consumption. Expanding our focus to the multi-objective optimization of pump scheduling programs in large-scale water distribution systems (WDSs), we employ the non-dominated sorting nonlinear chaotic honey badger algorithm (MONCHBA). The findings reveal that the use of variable-speed pumps not only enhances energy efficiency but also bolsters WDS reliability compared to the use of single-speed pumps. The results showcase the potential and robustness of the proposed multi-objective NCHBA in achieving an optimal Pareto front that effectively balances energy consumption, pressure levels, and water quality risk, facilitating carbon footprint reduction and sustainable management of WDSs.

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Section: Introductionmentioning

confidence: 99%

Reducing Water Conveyance Footprint through an Advanced Optimization Framework

Jafari-Asl,

Hashemi Monfared,

Abolfathi

2024

Water

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Experimental Study on the Hydraulic Performance of Porous Broad-Crested Weirs with Sloping Crests

Doustkam,

Rahmanshahi,

Fathi-Moghadam

et al. 2024

Water Resour Manage

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Due to the high technical and hydraulic performance and negligible environmental adverse impact of a porous weir, this structure is a reasonable substitute for conventional impermeable solid weirs in water transmission and distribution systems. This research focused on the hydraulic performance of porous broad-crested weirs (PBCWs) with sloping crests. To this end, 30 PBCWs models in free and submerged flow conditions were designed and examined under different operation conditions. In particular, a comparative study was performed between PBCWs with and without sloping crests, the performance of which were then compared with a solid broad-crested weir (SBCW) model. Based on the results and analysis, the PBCWs with sloping crests have a more significant discharge coefficient than common PBCWs (without sloping crests), and the upstream slope has a more significant impact on the discharge coefficient than the downstream slope. In addition, the PBCWs with sloping crests are more sensitive to tailwater than common PBCWs, and thus the discharge reduction factor of the weir with the upstream crest slope is lower than that of the downstream. Finally, based on the extensive experimental results, both nonlinear multivariable regression and gene-expression programming approaches were applied to extract empirical equations for expressing the free flow discharge coefficient and submerged flow discharge reduction factor.

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