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dc.contributor.authorCrespo Chacón, Miguel
dc.contributor.authorRodríguez-Díaz, Juan Antonio
dc.contributor.authorGarcía Morillo, J.
dc.contributor.authorMcNabola, Aonghus
dc.date.accessioned2019-03-04T11:49:46Z
dc.date.available2019-03-04T11:49:46Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10396/18013
dc.description.abstractIn pressurized irrigation networks, energy reaches around 40% of the total water costs. Pump-as-Turbines (PATs) are a cost-effective technology for energy recovery, although they can present low efficiencies when operating outside of the best efficiency point (BEP). Flow fluctuations are very important in on-demand irrigation networks. This makes flow prediction and the selection of the optimal PAT more complex. In this research, an advanced statistical methodology was developed, which predicts the monthly flow fluctuations and the duration of each flow value. This was used to estimate the monthly time for which a PAT would work under BEP conditions and the time for which it would work with lower efficiencies. In addition, the optimal PAT power for each Excess Pressure Point (EPP) studied was determined following the strategy of minimising the PAT investment payback period (PP). The methodology was tested in Sector VII of the right bank of the Bembézar River (BMD), in Southern Spain. Five potential sites for PAT installation were found. The results showed a potential energy recovery of 93.9 MWh and an annual energy index per irrigated surface area of 0.10 MWh year−1 ha−1. Renewable energy will become increasingly important in the agriculture sector, to reduce both water costs and the contribution to climate change. PATs represent an attractive technology that can help achieve such goals.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.sourceWater 11, 149 (2019)es_ES
dc.subjectHydropoweres_ES
dc.subjectIrrigation networkses_ES
dc.subjectCombinatorial analysises_ES
dc.subjectStatistical analysises_ES
dc.subjectPump-asturbinees_ES
dc.subjectPayback periodes_ES
dc.titlePump-as-Turbine Selection Methodology for Energy Recovery in Irrigation Networks: Minimising the Payback Periodes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.3390/w11010149es_ES
dc.relation.projectIDFEDER 2014-2020 REDAWN projectes_ES
dc.relation.projectIDGobierno de España. AGL2017-82927-C3-1-Res_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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