LIDAR Wind Detection for Turbine Control

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Solution Overview

Problem

Modern wind turbines face challenges in accurately predicting wind speed and direction upstream, which limits their ability to optimize energy capture and reduce component stress, particularly during extreme conditions.

Innovation Solution

The use of remote sensing devices like LIDAR and SODAR to detect radiation from multiple positions ahead of the rotor, determining wind properties, and transferring this information to the turbine controller to adjust operational parameters such as blade pitch and yaw position.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If wind sensors are installed on the nacelle to detect wind speed and direction, then control decisions can be made for blade pitching and yawing, but the detection occurs too late to optimize energy capture and reduce component stress effectively

Engineering Contradiction:
Improvewind detection timeVSAvoidwind speed and direction accuracy
Core Design Contradiction:
Loss of timeVSMeasurement precision

Solution Approach 1:

The LIDAR device performs preliminary wind measurement at a location upstream of the rotor before the wind reaches the turbine. This advance detection allows the control system to prepare control decisions (blade pitching, yawing) in advance, resolving the time delay problem while maintaining measurement accuracy through remote sensing technology.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If multiple LIDAR devices are deployed to measure wind properties at multiple locations, then wind prediction accuracy improves, but system complexity and cost increase

Engineering Contradiction:
Improvewind property prediction accuracyVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The wind measurement task is segmented into multiple discrete measurement points along the upstream path. Each LIDAR device measures wind properties at its specific location, and the control system integrates these segmented measurements to create a comprehensive wind prediction model, improving accuracy while managing system complexity through modular deployment.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The LIDAR device serves multiple functions: it measures wind speed, wind direction, and provides advance warning of wind conditions. This multi-functionality reduces the need for separate sensor systems, thereby improving measurement precision without proportionally increasing device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If the wind turbine operates without advance wind detection, then the system remains simple and reliable, but energy capture optimization and component protection are limited

Engineering Contradiction:
Improveenergy capture efficiencyVSAvoidcomponent stress resistance
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system performs preliminary detection of wind conditions upstream and uses this information to proactively adjust operational parameters before the wind reaches the rotor. This allows optimization of energy capture through advance blade positioning and protects components by preparing mitigation strategies in advance, thereby improving both productivity and reliability simultaneously.

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables proactive adjustment of wind turbine operations to maximize energy capture and reduce loading on components by providing advance knowledge of wind conditions, thereby enhancing efficiency and extending turbine lifespan.

Implementation Method 1

detecting radiation reflected from a plurality of distinct positions

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

The use of remote sensing devices like LIDAR to detect radiation from multiple positions ahead of the rotor

Methodology Applied
Scientific EffectLIDAR: LIDAR

Implementation Method 3

Examples of sensors that could be used for measuring the wind speed and direction in advance of the rotor are Radar, Light Detection And Ranging (LIDAR), SODAR

Methodology Applied
Scientific EffectAcoustic detection: Sound

Data Source

PatentUS9217415B2Estimation of wind properties using a light detection and ranging device
Publication Date: 2015.12.22 VESTAS WIND SYSTEMS AS
  • US9217415B2 patent drawing
  • US9217415B2 patent drawing
  • US9217415B2 patent drawing

AI summary

Embodiments of the invention provide methods, systems, and apparatus for determining a property of wind approaching a wind turbine. A light detection and ranging equipment may emit pulsed radiation into oncoming wind to detect properties of the wind at a plurality of predefined locations. A property of the wind approaching the wind turbine may be determined based on the property of wind measured at at least two predefined locations.