Publication:
Sizing of a standalone photovoltaic water pumping system using a multi-objective evolutionary algorithm

Simple item page
dc.citedby31
dc.contributor.authorMuhsen D.H.en_US
dc.contributor.authorGhazali A.B.en_US
dc.contributor.authorKhatib T.en_US
dc.contributor.authorAbed I.A.en_US
dc.contributor.authorNatsheh E.M.en_US
dc.contributor.authorid56728928200en_US
dc.contributor.authorid56727852400en_US
dc.contributor.authorid31767521400en_US
dc.contributor.authorid55568292900en_US
dc.contributor.authorid54926369000en_US
dc.date.accessioned2023-05-29T06:11:34Z
dc.date.available2023-05-29T06:11:34Z
dc.date.issued2016
dc.descriptionAlgorithms; Costs; Evolutionary algorithms; Life cycle; Multiobjective optimization; Optimization; Probability; Pumping plants; Pumps; Water levels; Differential Evolution; Economic objectives; Multi objective evolutionary algorithms; Non-dominated Sorting; Objective functions; Photovoltaic; Photovoltaic water pumping; Pumping systems; Loss of load probability; algorithm; cost analysis; drawdown; multicriteria analysis; optimization; performance assessment; photovoltaic system; probability; pumping; water demanden_US
dc.description.abstractIn this paper, a differential evolution based multi-objective optimization algorithm is proposed to optimally size a photovoltaic water pumping system (PVPS). Non-dominated sorting and crowding distance concepts are used to increase the elitism and diversity of the proposed algorithm. The proposed objective function is composed of technical and economic objectives. Loss of load probability is used as a technical objective, whereas life cycle cost is considered as an economic objective. The proposed PVPS is designed to provide a daily water demand of 30 m3 with a 20 m static head and a drawdown level. The optimal configuration of the system is selected from an optimal Pareto set of configurations to achieve balance between reliability, cost, and excess water of the system. The performance of the system is tested using hourly metorological data for one year time. Results show that the loss of load probability of the proposed system is around 0.5%. The life cycle cost, water deficit, and cost of water unit of the system are 9910 USD, 55 m3, and 0.045 USD/m3, respectively. � 2016 Elsevier Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.energy.2016.05.070
dc.identifier.epage973
dc.identifier.scopus2-s2.0-84973550315
dc.identifier.spage961
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84973550315&doi=10.1016%2fj.energy.2016.05.070&partnerID=40&md5=f387cd942b5e454a87931f17b81c3967
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22672
dc.identifier.volume109
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleEnergy
dc.titleSizing of a standalone photovoltaic water pumping system using a multi-objective evolutionary algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS