eprintid: 2469
rev_number: 7
eprint_status: archive
userid: 6
dir: disk0/00/00/24/69
datestamp: 2015-01-13 13:52:43
lastmod: 2015-01-13 14:35:42
status_changed: 2015-01-13 13:52:43
type: article
metadata_visibility: show
creators_name: Fagiano, Lorenzo
creators_name: Milanese, Mario
creators_name: Piga, Dario
creators_id: 
creators_id: 
creators_id: dario.piga@imtlucca.it
title: Optimization of airborne wind energy generators
ispublished: pub
subjects: QA75
subjects: TK
divisions: CSA
full_text_status: none
keywords: wind energy, high-altitude wind energy, nonlinear model predictive control, optimization
abstract: This paper presents novel results related to an innovative airborne wind energy technology, named Kitenergy, for the conversion of high-altitude wind energy into electricity. The research activities carried out in the last five years, including theoretical analyses, numerical simulations, and experimental tests, indicate that Kitenergy could bring forth a revolution in wind energy generation, providing renewable energy in large quantities at a lower cost than fossil energy. This work investigates three important theoretical aspects: the evaluation of the performance achieved by the employed control law, the optimization of the generator operating cycle, and the possibility to generate continuously a constant and maximal power output. These issues are tackled through the combined use of modeling, control, and optimization methods that result to be key technologies for a significant breakthrough in renewable energy generation.
date: 2012-12
publication: International Journal of Robust and Nonlinear Control 
volume: 22
number: 18
publisher: Wiley-Blackwell
pagerange: 2055-2083
id_number: 10.1002/rnc.1808
refereed: TRUE
issn: 1049-8923
official_url: http://dx.doi.org/10.1002/rnc.1808
citation:   Fagiano, Lorenzo and Milanese, Mario and Piga, Dario  Optimization of airborne wind energy generators.  International Journal of Robust and Nonlinear Control , 22 (18).  pp. 2055-2083.  ISSN 1049-8923      (2012)