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dc.contributor.authorCorigliano, Silvia
dc.contributor.authorMocecchi, Matteo
dc.contributor.authorMirbagheri, Mina
dc.contributor.authorMerlo, Marco
dc.contributor.authorMolinas Cabrera, Maria Marta
dc.date.accessioned2020-05-18T06:50:51Z
dc.date.available2020-05-18T06:50:51Z
dc.date.created2020-01-17T14:11:43Z
dc.date.issued2019
dc.identifier.isbn978-1-7281-0653-3
dc.identifier.urihttps://hdl.handle.net/11250/2654682
dc.description.abstractDesigning off-grid systems in developing countries is not a trivial task; unpredictable energy sources and uncertain load demands have to match in a seamless solution, providing the most favourable conditions in terms of adequacy with respect to the energy needs and costs. The challenge is to define which parameters/assumptions could have a strong impact on the results in order to properly model them.This paper is based on a peculiar study case: a microgrid deployed by the Politecnico di Milano team in Tanzania, load and generator power profiles have been sampled each second over many months. Given such a large amount of data, it is proposed a sensitivity analysis devoted to quantifying the impact that different assumptions could have in the design of a theoretical new microgrid that could optimally feed the loads. Numerical analysis is based on a tool, named PoliNRG, developed by a research team of Politecnico di Milano.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE International Conference on Environment and Electrical Engineering 2019
dc.titleMicrogrid design: sensitivity on models and parametersen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.identifier.doi10.1109/EEEIC.2019.8783760
dc.identifier.cristin1775942
dc.description.localcode© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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