Wind Farm Wakes Simulated Using WRF

S. C. Pryor*, T. J. Shepherd, Rebecca Jane Barthelmie, Andrea N. Hahmann, Patrick Volker

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Optimization of wind turbine (WT) arrays to maximize system-wide power production (i.e. minimize 'wind-theft') requires high-fidelity simulations of array-array interactions at the regional scale. This study systematically compares two parameterizations (Fitch and EWP) developed to describe wind farm impacts on atmospheric flow in the Weather Research and Forecasting (WRF) model. We present new year-long simulations for a nested domain centred on Iowa (the state with highest WT density) in the US Midwest that employ real WT characteristics and locations. Simulations with Fitch and EWP indicate similar seasonality in system-wide gross capacity factors (CF) for WT operating in Iowa, but the gross CF are systematically higher in simulations using EWP. The mean gross CF from the Fitch scheme is 44.1%, while that from EWP is 46.4%. These differences in CF are due to marked differences in the intensity and vertical profile of wakes simulated by the two approaches. Output from EWP also indicates much smaller near-surface climate impacts from WT. For example, when summertime hourly near-surface temperature (T2m) from the 299 WT grid cells are compared (i.e. EWP or Fitch minus noWT) the results show warming of nocturnal temperatures (lowest decile of T2m) but the maximum warming is considerably larger in simulations with the Fitch scheme.
Original languageEnglish
Title of host publicationProceedings of the Wake Conference 2019
Volume1256
PublisherIOP Publishing
Publication date2019
Edition1
Article number012025
DOIs
Publication statusPublished - 2019
EventWake Conference 2019 - Uppsala University Campus Gotland, Visby, Sweden
Duration: 22 May 201924 May 2019
http://standupforwind.se/konferenser-och-moten/wake-conference-2019/

Conference

ConferenceWake Conference 2019
LocationUppsala University Campus Gotland
CountrySweden
CityVisby
Period22/05/201924/05/2019
Internet address
SeriesJournal of Physics: Conference Series
NumberConf. 1
Volume1256
ISSN1742-6596

Cite this

Pryor, S. C., Shepherd, T. J., Barthelmie, R. J., Hahmann, A. N., & Volker, P. (2019). Wind Farm Wakes Simulated Using WRF. In Proceedings of the Wake Conference 2019 (1 ed., Vol. 1256). [012025] IOP Publishing. Journal of Physics: Conference Series, No. Conf. 1, Vol.. 1256 https://doi.org/10.1088/1742-6596/1256/1/012025
Pryor, S. C. ; Shepherd, T. J. ; Barthelmie, Rebecca Jane ; Hahmann, Andrea N. ; Volker, Patrick. / Wind Farm Wakes Simulated Using WRF. Proceedings of the Wake Conference 2019. Vol. 1256 1. ed. IOP Publishing, 2019. (Journal of Physics: Conference Series; No. Conf. 1, Vol. 1256).
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title = "Wind Farm Wakes Simulated Using WRF",
abstract = "Optimization of wind turbine (WT) arrays to maximize system-wide power production (i.e. minimize 'wind-theft') requires high-fidelity simulations of array-array interactions at the regional scale. This study systematically compares two parameterizations (Fitch and EWP) developed to describe wind farm impacts on atmospheric flow in the Weather Research and Forecasting (WRF) model. We present new year-long simulations for a nested domain centred on Iowa (the state with highest WT density) in the US Midwest that employ real WT characteristics and locations. Simulations with Fitch and EWP indicate similar seasonality in system-wide gross capacity factors (CF) for WT operating in Iowa, but the gross CF are systematically higher in simulations using EWP. The mean gross CF from the Fitch scheme is 44.1{\%}, while that from EWP is 46.4{\%}. These differences in CF are due to marked differences in the intensity and vertical profile of wakes simulated by the two approaches. Output from EWP also indicates much smaller near-surface climate impacts from WT. For example, when summertime hourly near-surface temperature (T2m) from the 299 WT grid cells are compared (i.e. EWP or Fitch minus noWT) the results show warming of nocturnal temperatures (lowest decile of T2m) but the maximum warming is considerably larger in simulations with the Fitch scheme.",
author = "Pryor, {S. C.} and Shepherd, {T. J.} and Barthelmie, {Rebecca Jane} and Hahmann, {Andrea N.} and Patrick Volker",
year = "2019",
doi = "10.1088/1742-6596/1256/1/012025",
language = "English",
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Pryor, SC, Shepherd, TJ, Barthelmie, RJ, Hahmann, AN & Volker, P 2019, Wind Farm Wakes Simulated Using WRF. in Proceedings of the Wake Conference 2019. 1 edn, vol. 1256, 012025, IOP Publishing, Journal of Physics: Conference Series, no. Conf. 1, vol. 1256, Wake Conference 2019, Visby, Sweden, 22/05/2019. https://doi.org/10.1088/1742-6596/1256/1/012025

Wind Farm Wakes Simulated Using WRF. / Pryor, S. C.; Shepherd, T. J.; Barthelmie, Rebecca Jane; Hahmann, Andrea N.; Volker, Patrick.

Proceedings of the Wake Conference 2019. Vol. 1256 1. ed. IOP Publishing, 2019. 012025 (Journal of Physics: Conference Series; No. Conf. 1, Vol. 1256).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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N2 - Optimization of wind turbine (WT) arrays to maximize system-wide power production (i.e. minimize 'wind-theft') requires high-fidelity simulations of array-array interactions at the regional scale. This study systematically compares two parameterizations (Fitch and EWP) developed to describe wind farm impacts on atmospheric flow in the Weather Research and Forecasting (WRF) model. We present new year-long simulations for a nested domain centred on Iowa (the state with highest WT density) in the US Midwest that employ real WT characteristics and locations. Simulations with Fitch and EWP indicate similar seasonality in system-wide gross capacity factors (CF) for WT operating in Iowa, but the gross CF are systematically higher in simulations using EWP. The mean gross CF from the Fitch scheme is 44.1%, while that from EWP is 46.4%. These differences in CF are due to marked differences in the intensity and vertical profile of wakes simulated by the two approaches. Output from EWP also indicates much smaller near-surface climate impacts from WT. For example, when summertime hourly near-surface temperature (T2m) from the 299 WT grid cells are compared (i.e. EWP or Fitch minus noWT) the results show warming of nocturnal temperatures (lowest decile of T2m) but the maximum warming is considerably larger in simulations with the Fitch scheme.

AB - Optimization of wind turbine (WT) arrays to maximize system-wide power production (i.e. minimize 'wind-theft') requires high-fidelity simulations of array-array interactions at the regional scale. This study systematically compares two parameterizations (Fitch and EWP) developed to describe wind farm impacts on atmospheric flow in the Weather Research and Forecasting (WRF) model. We present new year-long simulations for a nested domain centred on Iowa (the state with highest WT density) in the US Midwest that employ real WT characteristics and locations. Simulations with Fitch and EWP indicate similar seasonality in system-wide gross capacity factors (CF) for WT operating in Iowa, but the gross CF are systematically higher in simulations using EWP. The mean gross CF from the Fitch scheme is 44.1%, while that from EWP is 46.4%. These differences in CF are due to marked differences in the intensity and vertical profile of wakes simulated by the two approaches. Output from EWP also indicates much smaller near-surface climate impacts from WT. For example, when summertime hourly near-surface temperature (T2m) from the 299 WT grid cells are compared (i.e. EWP or Fitch minus noWT) the results show warming of nocturnal temperatures (lowest decile of T2m) but the maximum warming is considerably larger in simulations with the Fitch scheme.

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DO - 10.1088/1742-6596/1256/1/012025

M3 - Article in proceedings

VL - 1256

BT - Proceedings of the Wake Conference 2019

PB - IOP Publishing

ER -

Pryor SC, Shepherd TJ, Barthelmie RJ, Hahmann AN, Volker P. Wind Farm Wakes Simulated Using WRF. In Proceedings of the Wake Conference 2019. 1 ed. Vol. 1256. IOP Publishing. 2019. 012025. (Journal of Physics: Conference Series; No. Conf. 1, Vol. 1256). https://doi.org/10.1088/1742-6596/1256/1/012025