GB/T 42477-2023 in English
VALIDSpecifications for meteorological observation and data inspection and correction of photovoltaic power stations
- Issued on:2023-03-17
- Implemented on:2023-07-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$214.00
《GB/T 42477-2023光伏电站气象观测及资料审核、订正技术规范》由TC540(全国气候与气候变化标准化技术委员会)归口,TC540SC2(全国气候与气候变化标准化技术委员会风能太阳能气候资源分会)执行,主管部门为中国气象局。
Introduction
1. Background and significance of standard formulation
With the rapid development of photovoltaic power generation around the world, the accurate assessment and efficient use of solar energy resources have become key factors in promoting the construction of photovoltaic power stations. The formulation of the "Technical Specifications for Meteorological Observation and Data Review and Correction of Photovoltaic Power Stations" aims to ensure the accuracy, completeness and representativeness of meteorological observation data of photovoltaic power stations, and provide a scientific basis for solar resource assessment, power generation prediction and post-station evaluation.
2. Requirements for meteorological observation station sites
Representativeness:The observation station site should accurately reflect the meteorological conditions of the area where the photovoltaic power station is located, and avoid interference from local factors.
Environmental requirements:The observation site needs to be flat and open, ensuring no shielding and no reflection, and meet the requirements of 4.3 in GB/T35231-2017.
| Elements | Specific requirements | Standard basis |
|---|---|---|
| Observation height | Same as the center point of the PV array or set to 2m (when not determined) | GB/T35231-2017 |
| Instrument installation | Must comply with the installation specifications of pyranometers and meteorological sensors | GB/T37468-2019, GB/T35227-2017 |
3. Observation instruments and technical requirements
global pyranometer and Direct pyrheliometer must meet the second-level performance indicators to ensure measurement accuracy.
High-precision sensors are required to measure the temperature of the back panel of photovoltaic modules, meeting the requirements of accurate measurement within the range of -40℃~100℃.
4. Data review and interpolation method
Case analysis: abnormal data processing
In actual observation, it was found that the sunshine hours at a certain station were continuously missing. By comparing the data of neighboring meteorological stations and analyzing weather phenomena, the average method of the same time on neighboring dates was used for interpolation to ensure data integrity.
| Element type | Audit method | Interpolation method |
|---|---|---|
| Solar radiation | Climatological limit value + internal consistency check | Backup data replacement or adjacent date average method |
| Meteorological element | Appendix A method in QX/T66-2007 | Linear correlation method or adjacent date interpolation |
5. Data correction and application suggestions
Technology evolution analysis: From measured data to representative year correction, it is necessary to combine long series data (national radiation station data is given priority) for correction.
Implementation suggestions: Photovoltaic power stations should plan meteorological observation systems at the initial stage of construction and calibrate instruments regularly to ensure long-term stable operation.

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