Darrieus wind turbine performance prediction: computational modeling
| dc.contributor.author | Melício, Rui | |
| dc.contributor.author | Mendes, Victor | |
| dc.contributor.author | Figueiredo, João | |
| dc.contributor.author | Reis, Heitor | |
| dc.contributor.editor | Camarinha-Matos, L. M. | |
| dc.contributor.editor | Tomic, S. | |
| dc.contributor.editor | Graça, P. | |
| dc.contributor.editor | Springer | |
| dc.date.accessioned | 2014-01-02T12:07:35Z | |
| dc.date.available | 2014-01-02T12:07:35Z | |
| dc.date.issued | 2013-04-15 | |
| dc.description.abstract | The Vertical Axis Wind Turbines Darrieus is facing a rapid installations growth due to the interest for a decentralizing generation. The Darrieus aerodynamic behavior analysis is a hard computational task. This paper starts by offering an insight into the Darrieus wind turbines performance prediction and proposes an algorithm based on the Multiple Streamtube modeling as a prediction approach in order to have an admissible handing in an Internet of things environment. | por |
| dc.identifier.authoremail | ruimelicio@uevora.pt | |
| dc.identifier.authoremail | vfmendes@uevora.pt | |
| dc.identifier.authoremail | jfig@uevora.pt | |
| dc.identifier.authoremail | ahr@uevora.pt | |
| dc.identifier.scientificarea | 482 | por |
| dc.identifier.uri | http://hdl.handle.net/10174/9146 | |
| dc.language.iso | eng | por |
| dc.publisher | SPRINGER | por |
| dc.rights | restrictedAccess | por |
| dc.subject | Darrieus | por |
| dc.subject | Multiple Streamtube model | por |
| dc.subject | performance prediction | por |
| dc.title | Darrieus wind turbine performance prediction: computational modeling | por |
| dc.type | bookPart | por |