Articles | Volume 7, issue 5
Wind Energ. Sci., 7, 1847–1868, 2022
https://doi.org/10.5194/wes-7-1847-2022
Wind Energ. Sci., 7, 1847–1868, 2022
https://doi.org/10.5194/wes-7-1847-2022
Research article
12 Sep 2022
Research article | 12 Sep 2022

Scaling effects of fixed-wing ground-generation airborne wind energy systems

Markus Sommerfeld et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Markus Sommerfeld on behalf of the Authors (31 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Reconsider after major revisions (19 Feb 2022) by Roland Schmehl
AR by Markus Sommerfeld on behalf of the Authors (01 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (08 Apr 2022) by Roland Schmehl
RR by Anonymous Referee #4 (07 May 2022)
RR by Anonymous Referee #1 (11 May 2022)
RR by Anonymous Referee #5 (19 May 2022)
ED: Reconsider after major revisions (19 May 2022) by Roland Schmehl
AR by Sarah Buchmann on behalf of the Authors (15 Jul 2022)  Author's response
ED: Referee Nomination & Report Request started (16 Jul 2022) by Roland Schmehl
RR by Anonymous Referee #1 (20 Jul 2022)
RR by Anonymous Referee #5 (02 Aug 2022)
ED: Publish subject to technical corrections (02 Aug 2022) by Roland Schmehl
ED: Publish as is (08 Aug 2022) by Paul Veers(Chief Editor)
AR by Markus Sommerfeld on behalf of the Authors (10 Aug 2022)  Author's response    Manuscript
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Short summary
This research explores the ground-generation airborne wind energy system (AWES) design space and investigates scaling effects by varying design parameters such as aircraft wing size, aerodynamic efficiency and mass. Therefore, representative simulated onshore and offshore wind data are implemented into an AWES trajectory optimization model. We estimate optimal annual energy production and capacity factors as well as a minimal operational lift-to-weight ratio.