Increasing AEP with the nacelle - mounted WindEYE LiDAR | Abstract - - PowerPoint PPT Presentation

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Mar 29, 2024 113 likes •264 views

Increasing AEP with the nacelle - mounted WindEYE LiDAR | Abstract category: Operations and maintenance | Author: Windar Photonics | Presenter: Martin Rambusch | WindEYE LiDAR Standard Anemometry Positioned at the rear part of

SLIDE 1

“Increasing AEP with the nacelle- mounted WindEYE™ LiDAR”

| Abstract category: Operations and maintenance | Author: Windar Photonics| Presenter: Martin Rambusch |

SLIDE 2

WindEYE™ LiDAR

Standard Anemometry

Positioned at the rear part of the

nacelle roof.

Measures the wind when it has

passed the rotor.

Provides a distorted

measurement of the wind direction

Results in a turbine that is

constantly being slightly misaligned LiDAR

By utilizing the Doppler Effect, the

WindEYE™ is able to measure the movement of aerosols in the air 80m in front of the turbine

The wind direction and wind

speed are calculated from the aerosol measurements

Measures the wind direction

before the wind has passed the rotor.

SLIDE 3 Yaw misalignment Yaw misalignment occurs when the turbine is not aligned with the oncoming wind.

Less energy production
Increased load cycles
More wear and tear

AEP increases from correcting yaw misalignment Correcting yaw misalignment results in:

Increases Energy

production (AEP)

Reduced Loads

Yaw misalignment

SLIDE 4

LiDAR Integration w. Wind turbine control system

Direct integration Retrofit

SLIDE 5 Setup of the experiment: A. Positions of sonic anemometer masts and WindEYE™ at Risø campus, DTU, B. Photo of experiment.

“

… It was found that the WindEYE™ measured the wind direction with a high accuracy during the whole campaign.”

The WindEYE™ has been verified by DTU Risø (Dellwik et al, Feb. 2015): “The field experiment utilised two sonic anemometers, which were located in the two centers of the measurement volumes of the WindEYE™, as reference

instruments. The wind vectors measured by the sonic

anemometers were projected onto the line-of-sight directions of the WindEYE™ and the wind direction was calculated based on the WindEYE™ algorithm…”

DTU VERIFICATION

SLIDE 6 The following two diagrams displays the correlation concerning wind speed and wind direction between the measurements of the Windar Photonics LiDAR and met. masts from the test at DTU Risø:

DTU Verification – Correlation

Wind Direction Wind Speed

SLIDE 7 WindEYE™ and Ultrasonic Wind Sensor The following two diagrams display the correlation between the measurements

f the Windar Photonics LiDAR and an ultrasonic wind sensor on a wind turbine,

and between the Windar Photonics LiDAR and a met. mast.

Correlation Analysis – Met. Mast vs. WindEYE™ & WindEYE™ vs. ultrasonic sensor

WindEYE™ and

Met. Mast

SLIDE 8 The measurements and calculations are collected and stored in an accessible ASCII format in accordance with the below protocol list:

Protocol and Data

Protocol list from RS485 Protocol Specification Unit Timestamp YYYY/MM/DD HH:MM:SS Vlos1 Measured Wind speed along beam 1 Cm/s Vlos2 Measured Wind speed along beam 2 Cm/s U Calculated Lateral Wind speed Cm/s W Calculated Axial Wind speed Cm/s V Calculated Incoming Wind speed Cm/s Phi (Φ) Calculated Misalignment angle °x100 Status 1 second measurement Status 0/1 – Bad/Good

SLIDE 9

The 3 minutes average data wind speed data is

normalised according to the IEC-61400-12-1 standard.

The data realignment, if a WindTIMIZER was installed,

is derived from an in-house algorithm that accounts for the 3 minutes delay between the measurement and the yaw action of the turbine.

The probability Density Function of each wind speed is

derived from the site’s Weibull parameters.

The wind speed, data measured, and the realigned

data are then binned according to the IEC-61400-12-1

standard. Their mean and absolute mean are then

calculated.

Data handling

COS^2 The AEP gain is then calculated from the below equation for both the mean and the absolute mean realignment utilising cos^2: COS^3 The AEP gain is then calculated from the below equation for both the mean and the absolute mean realignment utilising cos^3: Finally, the two AEP gain calculations are averaged to produce the final AEP gain estimate, which is presented in the project report. The AEP calculations are comprised of calculations based

n both an empirical method (utilising cos^2) and a

theoretical method (utilising cos^3). The final AEP- increase estimate will be an average between the two methods.

AEP-gains calculation methodology

SLIDE 10

Measurement campaign results

2MW Wind Turbine - Estimated AEP gain 2.05%

SLIDE 11

Measurement campaign results

1.5MW Wind Turbine w. WindTIMIZER

SLIDE 12

Realignment of a 1.5MW wind turbine with the WindTIMIZER

Yaw misalignment estimation [°] before and after WindTIMIZER activation for test the turbine

T11. Data provided with a 10-min resolution

SLIDE 13 VESTAS V80 2MW GAMESA G87 2MW SIEMENS 3.6MW GAMESA G87 2MW VESTAS V80 2MW VESTAS V100 1.8MW

In general, Windar has seen increases to AEP by 1-4%, which averages out to about 1.5% across 200 installations

SUZLON 2.1MW NORDEX 2.5MW

SLIDE 14

Siemens 2. 3MW,

3.6MW, 4.0MW & 6. 0MW

Vestas V47, V80,

V90, V100

Suzlon S111 2.1MW,

S88 2.1MW

GE 1. 5MW &

1.7MW

Envision 3. 6MW &

4.0MW

Gamesa 2MW
Neg-Micon 600kW

& 1. 65MW

Nordex N90
Senvion 2MW
Sinovel 1. 5MW
Dongqi 1. 5MW
Lagerwey 0. 9MW
Windey 750kW
United Power 3MW
CSIC 2MW

More than 200 commercial projects, including: Currently being evaluated by NIWE NIWE is operating under an R&D mandate to assist the Indian wind industry by evaluating solutions that can improve wind turbine performance; the Windar LiDAR is being evaluated by NIWE concerning the LiDAR’s potential for impacting AEP and the lifetime of wind turbines. VERIFIED BY the Technical University of Denmark - DTU Risø