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Emulation of Energy Scheduling for an Agriculture Irrigation System Considering Field Data

2020Conference object Open access
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dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-22T10:40:12Z
dc.date.available2021-09-22T10:40:12Z
dc.date.issued2020
dc.description.abstractAs the global population is daily soaring, the need for water and energy is also increasing. This makes the role of the agriculture sector more tangible. Water and energy efficiency in this sector is still very low, and the need for smart management and strategic planning are obvious. This paper proposes an autonomous approach to increase the efficiency of energy and water consumption in the agriculture irrigation process. The model contains local renewable energy resources to supply the irrigation electricity demand. In the previous works developed by the authors, the irrigation scheduling had been performed by a decision tree approach. however, in this paper, the model schedules irrigation according to the realtime field data as well as the availability of the local resources to minimize operational costs. The system also includes a laboratory demonstration to test the scheduling process under practical challenges. A case study is also shown to validate the model, and its results show a gap between expected and real results. Nevertheless, the results proved the functionality and applicability of the proposed model.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following project: Eco Rural IoT project funded by TETRAMAX-VALUECHAIN-TTX-1, CEECIND/02887/2017 and UIDB/00760/2020 funded by FEDER Funds through COMPETE program and by National Funds through FCT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/EEEIC/ICPSEurope49358.2020.9160795pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18468
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationTETRAMAX-VALUECHAIN-TTX-1pt_PT
dc.relationCEECIND/02887/2017pt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9160795pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAgriculturept_PT
dc.subjectEnergy schedulingpt_PT
dc.subjectAutomationpt_PT
dc.subjectPLCpt_PT
dc.subjectSynchronous generatorpt_PT
dc.titleEmulation of Energy Scheduling for an Agriculture Irrigation System Considering Field Datapt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.citation.conferencePlaceMadrid, Spainpt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAbrishambaf
person.familyNameFaria
person.familyNameVale
person.givenNameOmid
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id7F1A-B942-5BD2
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4249-8367
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id57189232486
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
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