PyWake

2.5.0

Contents

Installation Guide
Overview
Updates log
Publications

Main Components

Quickstart
Site Object
Wind Turbine Object
Engineering Wind Farm Models Object
Wake Deficit Models
Superposition Models
- LinearSum
- SquaredSum
- MaxSum
- SqrMaxSum
- WeightedSum
Blockage Deficit Models
Rotor Average Models
Deflection Models
Turbulence Models
Ground Models
- Mirror

Features

Wind Farm Simulation
Gradients, Parallelization and Precision
Optimization with TOPFARM
- Example 1 - Optimize AEP wrt. wind turbine position (x,y)
- Example 2 - Optimize WS, TI, Power and custom functions
  - De-ratable wind turbine
  - Maximize mean power by optimizing de-rating factor and hub height
Wind Turbine under Yaw Misalignment
Noise
- Sound source
- Noise at receivers

Examples

Experiment: Combine Models
- Combine and execute model
Experiment: Validation
Experiment: Improve Hornsrev1 Layout
Exercise: Wake Deflection

Model Verification

Ørsted TurbOPark
- Example 1 - Square farm with identical turbines
- Example 2 - Two turbine types plus wind speed gradient
Super Gaussian Wake Deficit Model

Validation

Validation report

API Reference

WindTurbine classes
- WindTurbine
  - WindTurbine
    - WindTurbine.__init__()
    - WindTurbine.from_WindTurbine_lst()
- OneTypeWindTurbines
  - OneTypeWindTurbines
Site classes
WindFarmModel
- WindFarmModel
Engineering wind farm model classes
- PropagateDownwind
  - PropagateDownwind
    - PropagateDownwind.__init__()
- All2AllIterative
  - All2AllIterative
    - All2AllIterative.__init__()
Predefined Engineering wind farm model classes
SimulationResult
- SimulationResult
FlowMap
- FlowMap

PyWake

Validation report
View page source

Validation report

_images/validation_report.pdf

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