dc.contributor.author | Corigliano, Silvia | |
dc.contributor.author | Mocecchi, Matteo | |
dc.contributor.author | Mirbagheri, Mina | |
dc.contributor.author | Merlo, Marco | |
dc.contributor.author | Molinas Cabrera, Maria Marta | |
dc.date.accessioned | 2020-05-18T06:50:51Z | |
dc.date.available | 2020-05-18T06:50:51Z | |
dc.date.created | 2020-01-17T14:11:43Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-7281-0653-3 | |
dc.identifier.uri | https://hdl.handle.net/11250/2654682 | |
dc.description.abstract | Designing 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.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.ispartof | IEEE International Conference on Environment and Electrical Engineering 2019 | |
dc.title | Microgrid design: sensitivity on models and parameters | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.identifier.doi | 10.1109/EEEIC.2019.8783760 | |
dc.identifier.cristin | 1775942 | |
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.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |