TY - JOUR
TI - Review of Mesoscale Wind-Farm Parametrizations and Their Applications
AU - Fischereit, J
AU - Brown, R
AU - Larsén, X
AU - Badger, J
AU - Hawkes, G
T2 - Boundary-Layer Meteorology 
AB - With the ongoing expansion of wind energy onshore and offshore, large-scale wind-farm-flow effects in a temporally- and spatially-heterogeneous atmosphere become increasingly relevant. Mesoscale models equipped with a wind-farm parametrization (WFP) can be used to study these effects. Here, we conduct a systematic literature review on the existing WFPs for mesoscale models, their applications and findings. In total, 10 different explicit WFPs have been identified. They differ in their description of the turbine-induced forces, and turbulence-kinetic-energy production. The WFPs have been validated for different target parameters through measurements and large-eddy simulations. The performance of the WFP depends considerably on the ability of the mesoscale model to simulate the background meteorological conditions correctly as well as on the model set-up. The different WFPs have been applied to both onshore and offshore environments around the world. Here, we summarize their findings regarding (1) the characterizations of wind-farm-flow effects, (2) the environmental impact of wind farms, and (3) the implication for wind-energy planning. Since wind-farm wakes can last for several tens of kilometres downstream depending on stability, surface roughness and terrain, neighbouring wind farms need to be taken into account for regional planning of wind energy. Their environmental impact is mostly confined to areas close to the farm. The review suggests future work should include benchmark-type validation studies with long-term measurements, further developments of mesoscale model physics and WFPs, and more interactions between the mesoscale and microscale community.
DA - 2021/08//
PY - 2021
VL - 180
IS - 2
SP - 50
UR - https://link.springer.com/article/10.1007/s10546-021-00652-y
DO - 10.1007/s10546-021-00652-y
LA - English
KW - Wind Energy
KW - Human Dimensions
ER -