Power loss mechanisms and optimal induction factors for realistic large wind farms

TL;DR

This paper extends the two-scale momentum theory to analyze power loss mechanisms and optimize induction factors in realistic large wind farms considering turbine design, layout, and atmospheric conditions.

Contribution

It introduces a comprehensive framework and simple analytical models to evaluate power losses and determine optimal farm induction factors in real-world wind farm scenarios.

Findings

Quantifies internal and external power losses in large wind farms.

Provides a method to calculate optimal farm induction factors.

Highlights the impact of turbine design and atmospheric conditions on power performance.

Abstract

Power loss mechanisms in large wind farms are complex due to the multiscale nature of wind farm aerodynamics. Recent studies based on the two-scale momentum theory have brought new insights into this field; however, most of them have been limited to idealised wind farm scenarios. To better understand the power performance of real wind farms, in this study we extend the framework of the two-scale momentum theory to non-ideal turbine design and layout scenarios, and then introduce simple analytical sub-models to account for the associated power losses. These extensions provide a holistic view of how the turbine design, layout, operating conditions and atmospheric conditions collectively determine the amounts of different types of power losses in real wind farms, including the losses due to turbine-wake interference (i.e. `internal' power loss) and farm-atmosphere interaction (i.e. `external' power loss). We also present a simple iterative method for calculating the optimal farm induction factor that maximises the overall farm power for a given set of conditions, including the atmospheric boundary layer height. Analogously to the blade-element momentum theory playing a key role in wind turbine design optimisation, the present theory is expected to play a key role in wind farm design optimisation.