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GB/T 46243-2025 English PDF

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GB/T 46243-2025: Wind energy generation systems - Use of nacelle mounted lidars for wind measurements
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Basic data

Standard ID GB/T 46243-2025 (GB/T46243-2025)
Description (Translated English) Wind energy generation systems - Use of nacelle mounted lidars for wind measurements
Sector / Industry National Standard (Recommended)
Classification of Chinese Standard F11
Classification of International Standard 27.180
Word Count Estimation 66,669
Date of Issue 2025-10-05
Date of Implementation 2025-10-05
Issuing agency(ies) State Administration for Market Regulation and Standardization Administration of China

GB/T 46243-2025: Wind energy generation systems - Use of nacelle mounted lidars for wind measurements


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ICS 27.180 CCSF11 National Standards of the People's Republic of China Nacelle-mounted lidar in wind power generation systems Use in resource measurement wind measurements Published on 2025-10-05 Implemented on October 5, 2025 State Administration for Market Regulation The State Administration for Standardization issued a statement.

Table of Contents

Preface V 1.Scope 1 2 Normative References 1 3.Terms and Definitions 1 4.Symbols and Abbreviations 6. 5 Overview 10 5.1 General Provisions 10 5.2 Overview of Measurement Methods 10 5.3 Document Overview 11 6.LiDAR Requirements 11 6.1 Functional Requirements 11 6.2 Document Requirements 11 7.Calibration and uncertainty of intermediate values of cabin lidar 12 7.1 Overview of Calibration Methods 12 7.2 Beam Trajectory/Geometric Verification 13 7.3 Inclinometer Calibration 14 7.4 Verification of distance measurement 14 7.5 Line of sight speed calibration 15 7.6 Uncertainty in line-of-sight velocity measurement 21 7.7 Calibration Results 25 7.8 Calibration report requirements 26 8 Uncertainty caused by changes in environmental conditions 27 8.1 Overview 27 8.2 Uncertainty of intermediate values due to changes in environmental conditions 28 8.3 Evidence supporting the appropriateness of WFR 29 8.4 Reporting Requirements 29 9.Uncertainty of reconstructed wind parameters 30 9.1 Uncertainty of horizontal wind speed 30 9.2 Uncertainty Transmitted Through Wind Field Reconstruction Algorithm 31 9.3 Uncertainties related to wind field reconstruction algorithms (uope, lidar 32) 9.4 Uncertainty arising from changes in measured height u< ΔV>,measHeight 32 9.5 Uncertainty arising from inconsistencies in lidar measurements 32 9.6 Combined uncertainty 32 10 Preparation for specific measurement activities 32 10.1 Program Overview 32 10.2 Checklist for Pre-Measurement Activities 33 10.3 Measurement Setup 33 10.4 Measurement sector 34 11 Measurement Procedure 37 11.1 Overview 37 11.2 Wind turbine generator set operation for 37 days 11.3 Consistency check of valid measurement sectors 38 11.4 Data Acquisition 39 11.5 Data Filtering 39 11.6 Database 40 11.7 Application of WFR Algorithm 40 11.8 Measurement of height change 40 11.9 LiDAR Measurement and Monitoring 40 12 Report Format --- Relevant Charts and Graphs Specifically Designed for Cabin LiDAR 41 12.1 General Rule 41 12.2 Site Description for Specific Measurement Activities 41 12.3 Cabin LiDAR Information 41 12.4 Wind Turbine Generator Information 41 12.5 Database 42 12.6 Drawing 42 12.7 Uncertainty 42 Appendix A (Informative) Example of Calculating Uncertainty in Wind Field Reconstruction Parameters for Two-Beam LiDAR 43 A.1 Example Overview 43 A.2 Uncertainty propagated by the wind field reconstruction algorithm 43 A.3 Operational uncertainty of lidar and WFR algorithm 45 A.4 Uncertainty Contribution to Measurement of Height Change 45 A.5 Wind speed consistency check 46 A.6 Combined uncertainty 46 Appendix B (Informative) Suggested Methods for Measuring Pitch and Roll Angles 47 Appendix C (Informative) Recommendations for Installing LiDAR on the Aircraft Cabin 49 C.1 Positioning of the lidar optical head on the cabin 49 C.2 Pre-adjustment of the optical head pitch angle of the fixed-beam lidar (50°) C.3 LiDAR Anchor Point 50 Appendix D (Informative) Assessment of the Impact of Cabin-Mounted LiDAR on Aircraft Unit Performance 52 D.1 General Provisions 52 D.2 Recommended consistency check method 52 Reference 58 Figure 1 Example 14.Opening angle β between the two beams Figure 2.Lateral view of calibration settings 15 Figure 3.Top view of the sensing and inflow area 16 Figure 4.Schematic diagram of calibration settings 18 Figure 5.Example 20.LiDAR response to wind direction and cosine fitting. Figure 6.Example of LOS evaluation using the RSS process. RSS and θproj 21 Figure 7.Higher-order process of horizontal wind speed uncertainty propagation 31 Figure 8 Program Flowchart 33 Figure 9.Top view of the upwind nacelle lidar of the tested wind turbine and the wake of a nearby wind turbine. 34 Figure 10 Sector 35 excluded due to wake effects from nearby operating wind turbines and significant obstacles. Figure 11 Example 36 of sector elimination for wake turbulence and significant obstructions from adjacent units Figure 12 Example of omnidirectional interval division within a sector 37 Figure 13.Relative wind direction and yaw angle of the two-beam lidar (see reference [7]) 38 Figure 14.Turbulence intensity in the line-of-sight direction of the two-beam lidar and the yaw angle of the aircraft. Figure B.1 Two pitch and roll lidar beams (red) relative to a reference position (gray) 47 Figure B.2 The angle (γ) between two beams symmetrical about the horizontal plane and its vertical symmetry in lidar. Projection on the plane (γv) 48 Figure C.1 Examples of correct (left) and incorrect (right) positions of a two-beam lidar. (Figure 49) Figure C.2 Example of correct (left) and incorrect (right) positions of a four-beam lidar. (Figure 49) Figure C.3 Schematic diagram of a lidar optical head with pitch angle pre-adjusted downwards for measuring hub height (taking a two-beam lidar as an example) 50 Figure D.1 Example 54 of a neighboring unit comparison report Figure D.2 Example of power ratio between two adjacent wind turbine generators 55 Figure D.3 General Process Overview 55 Figure D.4 Example of ΔDirNac function between zones. LiDAR does not significantly affect the signals reported by the two cabin wind direction sensors. 57 Table 1 Summary of Calibration Uncertainty Components 25 Table 2 Calibration Table Example 25 Table 3.Example of a calibration table (n=1N; N is the total number of line-of-sight directions to be calibrated) 26 Table A.1 Uncertainty components and their correlations among different beams (Example 44)

Foreword

This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part 1.Structure and Drafting Rules of Standardization Documents". Drafting. This document is equivalent to IEC 61400-50-3.2022 "Wind power generation systems - Part 50-3.Nacelle lidar in wind energy resources". Use in measurement. The following minimal editorial changes have been made to this document. ---To align with existing standards, the standard title has been changed to "Nacelle-type LiDAR in Wind Energy Resource Measurement for Wind Power Generation Systems". use"; ---Incorporated technical errata from IEC 61400-50-3.2022/COR1.2023, and marked with [unclear text - possibly a formatting error] in the blank space outside the relevant clauses. The vertical double lines (||) are marked; ---Angle brackets have been added for "VL", "VR", "τ", and "ρ" in formulas (A.1), (A.2), and (A.6); ---Change δv to εv in Part 4 Symbols and Abbreviations. Please note that some content in this document may involve patents. The issuing organization of this document assumes no responsibility for identifying patents. This document was proposed by the China Machinery Industry Federation. This document is under the jurisdiction of the National Technical Committee on Standardization of Wind Power (SAC/TC50). This document was drafted by. Zhejiang Goldwind Technology Co., Ltd., China Electric Power Research Institute Co., Ltd., and Shanghai Electric Wind Power Group Co., Ltd. Limited Liability Company, Mingyang Smart Energy Group Co., Ltd., Windey Energy Technology Group Co., Ltd., Envision Energy Co., Ltd., Beijing Jianheng Certification Center Co., Ltd., Jiangsu Goldwind Technology Co., Ltd., China Quality Certification Center Co., Ltd., CRRC Zhuzhou Electric Locomotive Research Institute Wind Power Division of Limited Company, Nanjing Muli Laser Technology Co., Ltd., CRRC Shandong Wind Power Co., Ltd., CSIC Offshore & Marine Equipment Wind Power Co., Ltd. Shanghai Zhongren Shangke New Energy Technology Co., Ltd., State Power Investment Corporation Yunnan International Power Investment Co., Ltd., and Shanghai Electric Power Industry Co., Ltd. Company, Hohhot Branch of Chinese Academy of Agricultural Mechanization Sciences Co., Ltd., Zhuhai Guangheng Technology Co., Ltd., China Huaneng Group Clean Energy Source Technology Research Institute Co., Ltd., Datang Renewable Energy Testing and Research Institute Co., Ltd., Longyuan Power Group Co., Ltd., Hunan Xinglan Wind Power Co., Ltd., Goldwind Technology Co., Ltd., Chengdu Fute Technology Co., Ltd., Dongfang Electric Wind Power Co., Ltd., China Classification Society Quality Certification Co., Ltd., and Kaichen Energy Technology (Tianjin) Co., Ltd. The main drafters of this document are. Liu Lei, Zhai Endi, Fu Deyi, Zhang Liming, Yu Gaoyang, Wang Ruiliang, Zhang Zhaozhi, Wei Ru, Dong Qi, Yuan Ying, and Chen Yanan. Liu Zhixin, Guan Zhongjie, Guo Tao, He Zhongyi, Zhu Lin, Zhang Zhiwei, Wuyun Gaowa, Zhao Deping, Ye Zhaoliang, Gao Wei, Zhu Yaochun, Xiao Fuhua, Yao Shigang Gan Xuchao, Nie Feng, Chi Bing, Zhang Hao, Wang Chengxian, Miao Qiang, Zhang Bingqian, Wang Feifei, Su Hongjun, Huang Shugen, Wang Shujun, Zheng Xumeng. Nacelle-mounted lidar in wind power generation systems Use in resource measurement 1.Scope The purpose of this document is to describe the processes and methods to ensure consistent wind energy resource measurements using nacelle-mounted wind lidar. Based on best practices for implementation and reporting. This document does not specify the purpose or examples of use for wind energy resource measurements. However, it is expected that wind energy resource measurements will be used in accordance with best practices. The amount will be used for some form of wind energy testing or resource assessment. This document is limited to forward-looking nacelle-type wind-measuring lidar (i.e., the measurement volume is located upstream of the wind turbine rotor). This document is intended to apply to any type and brand of nacelle-mounted wind-measuring lidar. The methods and requirements provided in this document are specific to their respective models. Regardless of type or measurement principle, it is permissible to apply to new cabin-type lidar. This document aims to describe the use of a nacelle-mounted wind-measuring lidar for wind energy resource measurements, ensuring its quality is suitable for power characteristic testing. Example (based on GB/T 18451.2-2025). Users of this document should consider other usage examples, as there may be other specific requirements. This document provides only the guidelines for flat terrain and marine surveying as defined in Appendix B of GB/T 18451.2-2025.Due to the writing of this document... Due to limited experience, this document is not applicable to applications in complex terrain. This document does not cover modifications to the induction zone or blocking effect. Users are responsible for addressing the blocking effect themselves if required by the example. Correction or uncertainty assessment. The purpose of this document is to provide guidance for wind energy resource measurement. Health, safety, and environmental (HSE) requirements are important (e.g., laser operation). (This document does not cover these topics).

2 Normative references

The contents of the following documents, through normative references within the text, constitute essential provisions of this document. Dated citations are not included. For references to documents, only the version corresponding to that date applies to this document; for undated references, the latest version (including all amendments) applies. This document. GB/T 18451.2-2025 Power characteristic test of wind turbine generator sets for wind power generation systems (IEC 61400-12-1.2022, IDT) GB/T 33225-2025 Power Characteristic Test of Wind Turbine Generator Sets Based on Nacelle Anemometer Method for Wind Power Generation Systems (IEC 61400-12-2.2022, IDT) 3.Terms and Definitions The terms and definitions defined in GB/T 18451.2-2025, as well as the following terms and definitions, apply to this document. 3.1 Carrier-to-noise ratio (CNR) The quality of a pulsed lidar signal is measured by the ratio of heterodyne current power to total noise power within the detection bandwidth. Note 1.Here, CNR is assumed to be broadband CNR (CNRwb). Narrowband CNR (CNRnb) can also be defined as the sum of the heterodyne current power and the peak Doppler bandwidth. The ratio of peak Doppler power to noise power. This is independent of spectral signal processing. CNR is different from signal-to-noise ratio (SNR). SNR is the ratio of peak Doppler power to noise power. The ratio of standard deviations. Note 2.SNR=CNRnbn, where n is the average number of pulses.

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