Two-scale momentum theory for time-dependent modelling of large wind farms

TL;DR

This paper introduces a two-scale momentum theory that models large wind farm aerodynamics by coupling a time-dependent boundary layer analysis with a turbine-scale model, enabling better prediction of farm-scale effects.

Contribution

It develops a novel coupled two-scale model for large wind farms, integrating external and internal flow problems through an analytic coupling parameter.

Findings

The theory provides a simple iterative solution for farm wind-speed reduction.

It allows estimation of power losses due to wind farm blockage effects.

The framework is adaptable to various flow models and real-world conditions.

Abstract

This paper presents a theory based on the law of momentum conservation to define and help analyse the problem of large wind farm aerodynamics. The theory splits the problem into two sub-problems; namely an 'external' (or farm-scale) problem, which is a time-dependent problem considering large-scale motions of the atmospheric boundary layer (ABL) to assess the amount of momentum available to the ABL's bottom resistance at a certain time; and an 'internal' (or turbine-scale) problem, which is a quasi-steady (in terms of large-scale motions of the ABL) problem describing the breakdown of the ABL's bottom resistance into wind turbine drag and land/sea surface friction. The two sub-problems are coupled to each other through a non-dimensional parameter called 'farm wind-speed reduction factor' or 'farm induction factor,' for which a simple analytic equation is derived that can be solved iteratively using information obtained from both sub-problems. This general form of coupling allows us to use the present theory with various types of flow models for each scale, such as a numerical weather prediction (NWP) model for the external problem and a computational fluid dynamics (CFD) model for the internal problem. The theory is presented for a simplified wind farm situation first, followed by a discussion on how the theory can be applied (in an approximate manner) to real-world problems; for example, how to estimate the power loss due to the so-called 'wind farm blockage effect' for a given large wind farm under given environmental conditions.