Analysing momentum balance over a large wind farm using a numerical weather prediction model

Date

2020-09-21

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

IOP Publishing

Department

Type

Article

ISSN

1742-6588

Format

Free to read from

Citation

Ma L, Dunstan TD, Nishino T. (2020) Analysing momentum balance over a large wind farm using a numerical weather prediction model. Journal of Physics: Conference Series, Volume 1618, Issue 6, September 2020, Article number 062010

Abstract

This study attempts to better understand the mechanisms of wind farm blockage effect by analysing momentum balance in realistic atmospheric flow over an idealised large offshore wind farm. The analysis is performed following the two-scale momentum theory, which predicts the importance of three different terms in the farm-scale momentum balance, namely the streamwise pressure gradient, Coriolis force and acceleration/deceleration terms. A numerical weather prediction (NWP) model is used as a realistic farm-scale flow model in this study to investigate how these three terms tend to change in time. Initial results suggest that the streamwise pressure gradient may be enhanced substantially by the resistance caused by the wind farm, whereas its influence on the other two terms appears to be relatively minor. These results suggest the importance of modelling the farm-induced pressure gradient accurately for various weather conditions in future studies of wind farm blockage

Description

Software Description

Software Language

Github

Keywords

numerical weather prediction (NWP), streamwise pressure gradient

DOI

Rights

Attribution 4.0 International

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