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Title: Could Crop Height Affect the Wind Resource at Agriculturally Productive Wind Farm Sites?

Journal Article · · Boundary-Layer Meteorology

The collocation of cropland and wind turbines in the US Midwest region introduces complex meteorological interactions that could influence both agriculture and wind-power production. Crop management practices may affect the wind resource through alterations of land-surface properties. We use the weather research and forecasting (WRF) model to estimate the impact of crop height variations on the wind resource in the presence of a large turbine array. A hypothetical wind farm consisting of 121 1.8-MW turbines is represented using the WRF model wind-farm parametrization. We represent the impact of selecting soybeans rather than maize by altering the aerodynamic roughness length in a region approximately 65 times larger than that occupied by the turbine array. Roughness lengths of 0.1 and 0.25 m represent the mature soy crop and a mature maize crop, respectively. In all but the most stable atmospheric conditions, statistically significant hub-height wind-speed increases and rotor-layer wind-shear reductions result from switching from maize to soybeans. Based on simulations for the entire month of August 2013, wind-farm energy output increases by 14 %, which would yield a significant monetary gain. Further investigation is required to determine the optimal size, shape, and crop height of the roughness modification to maximize the economic benefit and minimize the cost of such crop-management practices. As a result, these considerations must be balanced by other influences on crop choice such as soil requirements and commodity prices.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE; USDOE Alliance Partner University Program (APUP)
Grant/Contract Number:
APUP UGA-0-41026-22; AC36-08GO28308
OSTI ID:
1503049
Alternate ID(s):
OSTI ID: 1240086
Report Number(s):
NREL/JA-5000-65825; PII: 102
Journal Information:
Boundary-Layer Meteorology, Journal Name: Boundary-Layer Meteorology Vol. 158 Journal Issue: 3; ISSN 0006-8314
Publisher:
Springer Science + Business MediaCopyright Statement
Country of Publication:
Netherlands
Language:
English
Citation Metrics:
Cited by: 19 works
Citation information provided by
Web of Science

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Cited By (3)

Observing and Simulating Wind-Turbine Wakes During the Evening Transition journal May 2017
Development of a High-Resolution Wind Forecast System Based on the WRF Model and a Hybrid Kalman-Bayesian Filter journal August 2019
The effect of wind direction shear on turbine performance in a wind farm in central Iowa journal January 2020

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