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A method for determining the emergence level of transformer technologies for green energy applications

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A method for determining the emergence level of transformer technologies for green energy applications

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dc.contributor.author Garechana, Gaizka es_ES
dc.contributor.author Río-Belver, Rosa es_ES
dc.contributor.author Zarrabeitia, Enara es_ES
dc.contributor.author Álvarez-Meaza, Izaskun es_ES
dc.date.accessioned 2020-07-28T09:44:58Z
dc.date.available 2020-07-28T09:44:58Z
dc.date.issued 2020-05-21
dc.identifier.isbn 9788490488324
dc.identifier.uri http://hdl.handle.net/10251/148772
dc.description.abstract [EN] Solid State Transformers (SST) are the result of merging the power electronics possibilities for voltage and frequency control with high-frequency transformers, and are expected to be a key component for enabling some important features that future energy grids must possess: reversibility, stability, modularity and compactness, among others. In addition to this, the possibilities of SSTs can be enhanced with advanced semiconductor materials such as Silicium Carbide (SiC), considerably improving the voltage and frequency ranges of this devices. This study aims at developing a quantitative method for characterizing the emergence level of SSTs and SiC-based transformers in three areas where these technologies can have a sizable impact: photovoltaic (PH ) and eolic (EO) energy production and electric vehicle (EV) appliances. Results show that PH area will probably outpace the EO area in both technologies, but the attention of the scientific community may be shifting from PH in the SiC-based transformer technology. EV applications are, on average, closer to the life cycle’s exponential growth stage than PH and EO areas, so it seems reasonable to expect a comparatively faster increase of both scientific and technology development activity in this field. es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Web data es_ES
dc.subject Internet data es_ES
dc.subject Big data es_ES
dc.subject Qca es_ES
dc.subject Pls es_ES
dc.subject Sem es_ES
dc.subject Conference es_ES
dc.subject SST es_ES
dc.subject Silicium Carbide es_ES
dc.subject Technology Forecasting es_ES
dc.subject Emergent technologies es_ES
dc.title A method for determining the emergence level of transformer technologies for green energy applications es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2020.2020.11315
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Garechana, G.; Río-Belver, R.; Zarrabeitia, E.; Álvarez-Meaza, I. (2020). A method for determining the emergence level of transformer technologies for green energy applications. Editorial Universitat Politècnica de València. 1-8. https://doi.org/10.4995/CARMA2020.2020.11315 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Julio 08-09,2020 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2020/paper/view/11315 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 8 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\11315 es_ES


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