Articles | Volume 6, issue 3
https://doi.org/10.5194/wes-6-737-2021
https://doi.org/10.5194/wes-6-737-2021
Research article
 | 
28 May 2021
Research article |  | 28 May 2021

Design and analysis of a wake model for spatially heterogeneous flow

Alayna Farrell, Jennifer King, Caroline Draxl, Rafael Mudafort, Nicholas Hamilton, Christopher J. Bay, Paul Fleming, and Eric Simley

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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 Alayna Farrell on behalf of the Authors (07 Nov 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (09 Nov 2020) by Sandrine Aubrun
RR by Anonymous Referee #1 (27 Nov 2020)
RR by Anonymous Referee #2 (30 Nov 2020)
ED: Reconsider after major revisions (01 Dec 2020) by Sandrine Aubrun
AR by Alayna Farrell on behalf of the Authors (06 Feb 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (10 Feb 2021) by Sandrine Aubrun
RR by Anonymous Referee #2 (16 Feb 2021)
ED: Publish subject to technical corrections (16 Feb 2021) by Sandrine Aubrun
ED: Publish subject to technical corrections (22 Feb 2021) by Jakob Mann (Chief editor)
AR by Alayna Farrell on behalf of the Authors (08 Mar 2021)  Author's response   Manuscript 
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Short summary
Most current wind turbine wake models struggle to accurately simulate spatially variant wind conditions at a low computational cost. In this paper, we present an adaptation of NREL's FLOw Redirection and Induction in Steady State (FLORIS) wake model, which calculates wake losses in a heterogeneous flow field using local weather measurement inputs. Two validation studies are presented where the adapted model consistently outperforms previous versions of FLORIS that simulated uniform flow only.
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