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• W4387539289 abstract "AbstractThis paper proposes a new design model for techno-economic analysis and optimization of water pumping systems. The model incorporates the Levelized Cost Of Water Pumped (LCOWP) as the objective function to capture the economic criterion, while the technical criterion is represented by the Loss of Water Supply Probability (LWSP). The model integrates three decision variables: the number of PV modules, wind turbines, and water tanks, which is a unique combination that has been rarely explored in previous studies.. To address the complexity of this non-linear discrete optimization problem, the Equilibrium Optimizer (EO), a recent metaheuristic algorithm, is employed. Comparative analysis conducted against four other algorithms demonstrates the superior accuracy and convergence time of EO, establishing its effectiveness. To showcase the practicality of the model, it is utilized to optimize a water pumping system for irrigation in Adrar, Algeria, considering four different pumping heads and exploring various reliability levels (represented by LWSP). The sizing results demonstrate how the LCOWP is influenced by the pumping heads and the desired LWSP. For instance, at a pumping head of 45m, the cost decreases from 1.181$/m3 with 0% LWSP to 0.991$/m3 when accepting 1% LWSP.Keywords: Levelized CostMetaheuristicOptimal SizingPhotovoltaicWater pumpingWind EnergyDisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. Disclosure statementThe authors report there are no competing interests to declare.AcronymsAOA=Archimedes Optimization AlgorithmBA=Bat AlgorithmCSA=Cuckoo Search AlgorithmDPSP=Deficiency of Power Supply ProbabilityEO=Equilibrium OptimizerGWO=Grey Wolf OptimizerHHO=Harris’ Hawk OptimizationLCC=Life Cycle CostLCOWP=Levelized Cost Of Water PumpedLLP=Loss of Load ProbabilityLPSP=Loss of Power Supply ProbabilityLWSP=Loss of Water Supply ProbabilityPSO=Particle Swarm OptimizationPVWPS=Photovoltaic Water Pumping SystemPVWWPS=PV/Wind Water Pumping SystemSMA=Slime Mould AlgorithmTNPC=Total Net Present Cost" @default.
• W4387539289 created "2023-10-12" @default.
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• W4387539289 date "2023-10-11" @default.
• W4387539289 modified "2023-10-12" @default.
• W4387539289 title "Optimized sizing of a hybrid renewable water pumping system based on recent metaheuristic algorithms : A case study in Algeria" @default.
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• W4387539289 doi "https://doi.org/10.1080/01430750.2023.2267569" @default.
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