Name: Floating LiDAR Platform Offshore Wind Development
Brand: Blue Aspirations
SKU: BA-FLS-NX5
Price: 1300000 USD
Availability: InStock
Rating: 5 (193 reviews)

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Features

Specifications

Power Consumption: 150W

Product Name: Floating LiDAR

Size: 5x5x9m

LiDAR: Double LiDARs( Windcube/ZX 300M/ Molas B300M)

Highlight:

lidar platform

Floating LiDAR platform

LiDAR Platform Offshore

Basic Infomation

Place of Origin: China

Brand Name: Blue Aspirations

Certification: OWA Stage 2

Model Number: BA-FLS-NX5

Payment & Shipping Terms

Packaging Details: 3 containers

Delivery Time: 2-3month

Payment Terms: T/T

Supply Ability: 3 Unnits/Month Without pre validation.

Gallery

Floating LiDAR Platform Offshore Wind Development

Product Description

Floating LiDAR platform

1. Floating Platform

The floating platform is comprised of 4 foam blocks contained inside PE casings. The blocks are manufactured through rotational molding, and their modular structure allows the floating Lidar system to be easily disassembled for loading onto a truck or inside a container. This saves time and costs for domestic and international transportation.

2. Design Principles

Reliability is the most important feature of any floating Lidar system and is a core tenet of Blue Aspirations’ design philosophy. Drawing on our team’s expertise in design principles from the telecommunications industry, the system emphasizes redundancy in its key components. The commercial model was also iteratively designed using simulations to model failure paths and eliminate single points of failure. Key examples of how these principles are embodied in the floating Lidar system include:

A minimum of two acquisition sources for wind and motion data;
A minimum of two of each data acquisition sensor link;
Two servers configured to seamlessly trade off between one another in the event of server downtime;
Redundancy in each power supply system to ensure negligible risk of power shortage;
Battery banks installed in separate cabinets with an auto-switch circuit designed to transfer load in the event of a single battery bank malfunction;
Data communication sub-system with at least two channels of up-link and down-link in the absence of 2/3/4G; and
Backup source for direction and motion measurements to maintain the supply of high-quality data, even in the event of significant damage to the system’s masts, antennas, primary GNSS-INS and compass sensors.

Floating LiDAR Platform Offshore Wind Development 1

3. Motion Compensation

Since the motion of the buoy affects LiDAR wind direction and wind speed measurements, Blue Aspirations’ system is equipped with a motion sensor to acquire high-resolution pitch and roll data, and heading and DGPS sensors to obtain accurate heading information. Our patented algorithm then uses a projection method to correct the LiDAR wind speed data to the appropriate horizontal plane. By calculating the LiDAR installation angle offset from the heading sensor’s true north, the system is likewise able to transform the collected wind direction data to the correct angle.

3. Technical Details

*Modules*	*Details*
Buoy	-Diameter: 5m -Height: 9m -Weight: 14.5t -Net Buoyancy: 10.5t -Structure: multiple cabinets -Materials: PE, carbon steel, stainless steel
Mooring System	-Water-depth: >5m -Anchor: cement block and/or mooring anchor -Mooring: one-point mooring -Adjustable to suit site-specific requirements including deep water-depth -Multiple mooring system is also available
Control System	-Industrial PLC -or BA's embedded controller
LiDARs	-LiDARs: Dual LiDAR(default) (Windcube offshore version; ZX 300M, Movelaser B300M)
Power Supply	-Battery Capacity: total 60kwh in multiple groups; -Wind Turbines: 2×350W; -Solar Panels: 1600W, multiple groups; - Fuel cells: 2x110W with 224L fuel(optional)
Navigation System	-AIS×1 -Radar reflector×2 -IALA-compliant navigation ligh1×-1 Supporting dual navigation light but Need to meet the requirement of local authority
Positioning System	-Directions: 0-360° -Direction accuracy: 0.09° (2m baseline) -Positioning accuracy: 0.5m (horizontal, SBAS mode)
Motion Sensors	-GNSS-INS sensor×2 or GNSS-INS sensor×1 and MRU sensor×1
Communication Systems	-SAT Modules: Iridium SBD×1, other Broadband SAT data modules (optional); -Mobile Networks: 2G/3G/4G×1; 2.4G/5G Wi-Fi×2; Local Ethernet connection
Data Acquisition	-Dual Industrial PCs -Interfaces: serial×6, Ethernet×2
Hydrological sensors (optional)	-Doppler current sensor -Wave sensor and water depth sensor -Water salinity and temperature sensor

4. Power System

Blue Aspirations’ floating LiDAR system is equipped with the following power systems:

l Battery Banks: 4 Groups, total 60 kwh;

l Wind Turbines: 2×350W

l Solar Panels: 1600W, multiple groups

l Fuelcells: 2 x 110W, 8 tanks of fuel, total 248 kwh

System Power Analysis

Energy stored	Batteries(12v,250AH) x 20	Fuel(M28, 31kwh) x 8
308 kwh	60 kwh	248 kwh

Single or dual LiDAR	Daily system power consumption	Days only with batteries and fuel
Single ZX LiDAR	125w x 24h-->3 kwh (daily)	102 days
Single Windcube LiDAR	85w x 24h -->2.04kwh (daily)	150 days
Dual LiDAR	180w x 24h-->4.32 kwh (daily)	71 days

Power Analysis in the porject of OWA STAGE 2 Verfication in Dundee, Scotland( 6 months)

Total energy generated in the project (kWh)

Solar Power

Generation(kWh)

Wind Power

Generation (kWh)

FuelCell Power

Generation (kWh)

Total

1148.51

880.14

210.81

57.56

Daily

6.38

4.89

1.17

0.32

From the tables we can see that the total system consumption(daily) of the floating LiDAR can be covered by the energy generated by solar panels and wind turbines, even both LiDARs are powered on.

Our power system is sufficient to support the floating LiDAR system with a double-LiDAR system(Hot standby). We also employ a power forecasting system to predict output from onboard wind turbines and solar panels and better plan for power utilization strategies.

The below graph shows a typical system voltage profile. We continuously maintain the system well above its voltage safety level of 24.5 V.

5. Summary of Validation

We would like to include in this document a summary of the reports from our clients or from third parties nominated by our clients that support our data accuracy and data availability claims.

A summary of the main results is provided below.

Client

Project Name

Buoy and LiDAR Model

Reference

Issuer of the report

Time

Main findings

Blue Aspirations

Carbon Trust

OWA Road map Stage 2 Verification (Dundee, Scotland)

BA-FLS-NX5,

ZX 300M x 1;

Windcube offshore V2 x1

Offshore

Met Mast

Inch Cape

Oldbaum Services from the UK

(3rd-party certifier ).

DNV will review the final report

2023.3 - 2023.9

Interim Stage 2 Assessment Report for Windcube:

Duration: 77days; System availability: 100%

Data availability: >99.2% for all measurement heights

Data accuracy(Wind speed):

>2m/s: R²> 0.991, Slope: 0.995~1.001

4~16m/s: R²> 0.985, Slope: 0.988~1.001

Data accuracy(Wind Direction):

91m: R² >0.998, Slope: 1.003,

101m: R² >0.998, Slope: 1.003,

111m:R²>0.998, Slope: 1.003,

China Three Gorges

Yangjiang,

Guangdong

BA-FLS-NX5,

ZX 300M

Offshore

Met Mast

Blue

Aspirations

2021

Duration: 2 months; System availability: 100%

Data availability: >99.98% for all measurement heights

Data accuracy(Wind speed):

>2m/s: R²> 0.9959, Slope: 0.9964~1.0096

4~16m/s: R²> 0.9921, Slope: 0.9986~1.0122

Data accuracy(Wind Direction):

50m: R2 >0.9987, Slope: 1.0125, Offset:-1.9075

100m: R2 >0.9986, Slope: 1.0198, Offset:-1.4955

China Three Gorges

Yangjiang,

Guangdong

BA-FLS-NX5,

Molas B300M

Offshore

Met Mast

Shanghai

Institute

2022

Duration: 2 months; System availability: 100%

Data availability: >98.5% for all measurement heights

Data accuracy(Wind speed):

>2m/s: R2 > 0.99, Slope: 1.00~1.01

4~16m/s: R2 > 0.99, Slope: 1.00~1.02

Data accuracy(Wind Direction):

R2 > 0.97, Slope: 1.03, Offset: -1.3

Blue Aspirations

Prototype

validation,

Zhoushan, nearshore

BA-FLS-2.4,

ZX 300M

Fixed ZX

300M

DNVGL

2019

Duration: 1 month; System availability: 100%

Data availability: >97% for all measurement heights

Data accuracy(Wind speed):

>2m/s: R2 > 0.994, Slope: 0.994~1.003

Data accuracy(Wind Direction):

R2 > 0.999, Slope: 0.998-1.002,

Offset: -0.83~0.04

Huarun

Cangnan,

Zhejiang

BA-FLS-NX5,

ZX 300M

Offshore

Met Mast

Huarun

2020

Duration: 1 month; System availability: 100%

Data availability: >96.24% for all measurement heights except 120m (Note: 91.31%, several foggy days)

Data accuracy(Wind speed):

>2m/s : R2 > 0.9918, Slope: 0.9889~1.0283

4~16m/s: R2 > 0.9851, Slope: 0.9851~0.9938

Data accuracy(Wind Direction):

R2 > 0.9981, Slope: 0.9826~0.9961, Offset: -0.758~1.4559

Shanghai

Institute

Nanhui,

Shanghai

BA-FLS-NX5,

ZX 300M

Fixed

platform

ZX 300

Blue

Aspirations

2020

Duration: 2 months; System availability: 100%

Data availability: >99.7% for all measurement heights

Data accuracy(Wind speed, >2m/s and 4~16m/s): R2 > 0.97, Slope: 0.98~1.02

Note: the platform LiDAR has a fatal issue with wind direction thus Wind direction is not compared

Power

China

Shantou

BA4.1S,

ZX 300M

2020

Duration: 2 months; System availability: 100%

Data availability: >99.0% for all measurement heights

6. Turbulence Intensity Correction

Turbulence Intensity (TI) is one of the key design inputs for offshore wind turbines and foundations. For floating LiDAR, turbulence correction is still one disputable field since normally the measured TI is higher due to the motion of the buoy under waves since the motion correction normally cannot remove all the motion effects to the 1-s wind speed data. We developed a correction algorithm to correct the FLS-measured TI to a real level and carried out a comparison after the correction with an offshore met mast in 2021. The chart and table show the results of this correction. We will also correct TI along with the data service by default.

Wind speed@50m	FLS Average TI Raw	FLS Average TI Corrected	Met Mast Average TI	TI diff ratio, FLS vs Met Mast(%)	TI diff, FLS vs Met Mast
[2,3]	0.180492	0.112551	0.107520	4.68	0.005031
[3,4]	0.128281	0.078571	0.079221	-0.82	-0.00065
[4,5]	0.139076	0.078529	0.078367	0.21	0.000162
[5,6]	0.133846	0.069284	0.067774	2.23	0.00151
[6,7]	0.142129	0.078143	0.075735	3. 18	0.002408
[7,8]	0.145033	0.068586	0.066215	3.58	0.002371
[8,9]	0.153255	0.069925	0.066153	5.70	0.003772
[9, 10]	0.162506	0.064650	0.065711	- 1.61	-0.001061
[ 10, 11]	0.173643	0.066369	0.063559	4.42	0.00281
[ 11, 12]	0.180964	0.063365	0.063800	-0.68	-0.000435
[ 12, 14]	0.180442	0.066502	0.065880	0.94	0.000622
[ 14, 16]	0.198287	0.069350	0.073287	-5.37	-0.003937
[ 16, 18]	0.197597	0.080980	0.078003	3.82	0.002977
[ 18,inf]	0.194325	0.079881	0.078303	2.02	0.001578

7. Carbon Trust OWA Stage 1 to Stage 3 Roadmap

A. INTRODUCTION

In partnership with nine offshore wind developers, the Carbon Trust launched the Offshore Wind Accelerator (OWA) program and in early 2014, the OWA released its Floating LiDAR Roadmap for Commercial Acceptance (the “OWA Roadmap”). The OWA Roadmap outlines the requirements floating LiDAR systems must satisfy to belong to one of three distinct stages of maturity:

Stage I: Baseline;

Stage II: Pre-commercial; and

Stage III: Commercial.

The BA FLS currently meets the requirements for Stage I. However, the BA FLS has met the availability requirements required by Stage III for more than 30 campaigns with FLS equipped with double LiDARs.

Stage II and III incorporate high accuracy and availability requirements and evidence of multiple successful long and short verification campaigns against trusted references. In an effort to provide greater confidence to its clients and partners, Blue Aspirations devised the following strategic roadmap for achieving the OWA Roadmap’s Stage II and Stage III classification.

B. OWA STAGE II AND STAGE III REQUIREMENTS

The OWA Roadmap’s Stage II and Stage III data availability and accuracy requirements are as follows:

Availability

KPI	Definition	Acceptance Criteria
KPI	Definition	Best Practice, Stage3	Minimum Stage 2, Only
MSA_1M	Monthly System Availability	≥95%	≥90%
OSA_CA	Overall System Availability	≥97%	≥95%
MPDA_1M	Monthly Post-processed Data Availability	≥85%	≥80%
OPDA_CA	Overall Post-processed Data Availability	≥90%	≥85%

Accuracy

KPI	Definition	Acceptance Criteria
KPI	Definition	Best Practice, Stage3	Minimum Stage 2, Only
X_mws	Wind speed – Slope	0.98 – 1.02	0.97 – 1.03
R²_mws	Wind speed – Coefficient of Determination	>0.98	> 0.97
M_mwd	Mean Wind Direction – Slope	0.97 – 1.03	0.95 – 1.05
OFF_mwd	Mean Wind Direction – Offset	< 5°	< 10°
R²_mwd	Wind direction – Coefficient of Determination	> 0.97	> 0.95

The OWA requires all Stage II and Stage III systems to have completed campaigns meeting the following duration and frequency criteria:

#	Stage 2 Requirement Description	Required Months	Number of Required Campaigns
1	Validation of the LIDAR performance onshore in a fixed frame of reference	The necessary time to fill all the wind bins	1
2	Validation of the floating LIDAR performance offshore under dynamic conditions	6	1

C. CURRENT STATUS

The floating lidar system BA-FLS-NX5 is now still in Stage 1. However, it was deployed in early March 2023 beside the Inch Cape met mast in Scotland. The system kept a very good health condition even powering dual LiDARs simultaneously for more than three months. The first interim Stage 2 Type Verification report has been delivered by the UK 3rd-party certifier Oldbaum Services. The final report will also be reviewed by DNV.

The period of the assessment is 10-03-2023 to 25-05-2023 (77 days). The LiDAR’s data availability across all heights is above 99.2%. The mean wind speed deviations are within +-0.035m/s. Meanwhile, the max wind speeds are with quite low deviations.

The correlations of wind speed (>2m/s and 4-16m/s) and wind direction (>2m/s) all passed the Carbon Trust Stage 2 best practice acceptance thresholds.

All the KPIs meet Stage 2 Best Practice criteria, which means BA-FLS-NX5 currently is also passing Stage 3 criteria. The type verification still has over three months to go. But we are confident of seeing good results this Sept. based on the performance of the unit and the solid design of the BA-FLS-NX5 model.

D. ROADMAP to STAGE 3

We will not stop at Stage 2, and we will go further to the Stage 3. According to the OWA Stage 3 requirements we draw up a plan as follows.

Type Verification, Classification, and pre-commercial project requirements for Stage 3	Plan and action
Stage 2 FL Type Verification	No.1 of BA-FLS-NX5 compared with Inch Cape met mast for Stage 2 FL Type Verification ( In progress in Scotland) It may count as 1 of 3 long trials and may count to Classification trials.
FL Unit Verification (3 long and 3 short trials)	Three long trials(May count to Classification trials): 1. No.1 of BA-FLS-NX5 is in progress of Stage 2 with met mast Inch Cape in Scotland 2. No.1 of BA-FLS-NX5 will be compared with No.2 met mast for more than 3 months in the next year( The No.2 met mast will be recommended by 3rd party). 3. No.2 of BA-FLS-NX5 will be compared with No.2 met mast for more than 3 months in the next year. Three short trials: 4. No.3 of BA-FLS-NX5 has been deployed in Jiangsu Province of China and is in progress for the short trial of unit verification. 5. The other 2 short trials will be compared with a fixed platform before 2 specific commercial projects(Pre-validation for one month), or we will deploy 2 of BA-FLS-NX5 directly for the unit verification
FL offshore Classification (3 long trials)	All these 3 FL Unit Verification long trials may count toward FL offshore Classification trials.
Early Commercial Project Deployment	5 deployments for more than one year. We have more than 30 commercial projects in China and more than 5 projects that the FLS has run for more than 1 year with over 95% of data availability. However, we still need to follow the OWA Roadmap to be supervised by a third party to prove it. We will find DNV, UL, or other third parties to take the job for the following commercial projects.

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Floating LiDAR Platform Offshore Wind Development

lidar platform

Floating LiDAR platform

LiDAR Platform Offshore

Floating LiDAR platform

1. Floating Platform

2. Design Principles

3. Motion Compensation

3. Technical Details

4. Power System

5. Summary of Validation

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