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Optimal Energy Management System applied to commercial self-consumption solutions

dc.contributor.authorSola Saura, Alaia
dc.contributor.authorIgualada González, Lucía
dc.contributor.authorCorchero García, Cristina
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Estadística i Investigació Operativa
dc.contributor.otherInstitut de Recerca en Energía de Catalunya
dc.date.accessioned2020-01-24T12:48:44Z
dc.date.issued2018
dc.identifier.citationSola, A.; Igualada , L.; Corchero, C. Optimal Energy Management System applied to commercial self-consumption solutions. A: International Conference on Environment and Electrical Engineering. "2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe): Palermo, Italy: june 12-15, 2018: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-6.
dc.identifier.isbn978-1-5386-5185-8
dc.identifier.urihttp://hdl.handle.net/2117/175634
dc.description.abstractIREMS, an optimization model developed to manage self-consumption solutions and overcome the limitations the commercial management functionalities present has been validated under the conditions of one of the real installations in Barcelona where the software has been installed. The aim of this paper is to perform and present a comparative analysis of the differences in battery performance and electricity purchase between the use of commercial management functionalities for PV self-consumption systems and the more advanced functionalities IREMS offers for this type of solutions.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització
dc.subject.lcshNumerical analysis--Simulation methods
dc.subject.otherself-consumption
dc.subject.otherEMS
dc.subject.otheroptimization software
dc.subject.otherfield validation
dc.subject.otherrenewable generation
dc.titleOptimal Energy Management System applied to commercial self-consumption solutions
dc.typeConference report
dc.subject.lemacAnàlisi numèrica
dc.contributor.groupUniversitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització
dc.identifier.doi10.1109/EEEIC.2018.8494434
dc.subject.amsClassificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8494434
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac25886784
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/646456/EU/GrowSmarter/GrowSmarter
dc.date.lift10000-01-01
local.citation.authorSola, A.; Igualada , L.; Corchero, C.
local.citation.contributorInternational Conference on Environment and Electrical Engineering
local.citation.publicationName2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe): Palermo, Italy: june 12-15, 2018: proceedings
local.citation.startingPage1
local.citation.endingPage6


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