NB/T 10353-2019 English PDF

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NB/T 10353-2019: (Technical Regulations for Solar Energy Evaluation of Solar Power Generation Project)
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Basic data

Standard ID: NB/T 10353-2019 (NB/T10353-2019)
Description (Translated English): (Technical Regulations for Solar Energy Evaluation of Solar Power Generation Project)
Sector / Industry: Energy Industry Standard (Recommended)
Classification of Chinese Standard: P61
Word Count Estimation: 23,286
Date of Issue: 2019-12-30
Date of Implementation: 2020-07-01
Issuing agency(ies): National Energy Administration

NB/T 10353-2019: (Technical Regulations for Solar Energy Evaluation of Solar Power Generation Project)

---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
Technical Specification for Solar Energy Resources Assessment of Solar Power Projects Energy Industry Standards of the People's Republic of China Technical Regulations for Solar Energy Resource Evaluation of Solar Power Generation Projects 2019-12-30 released 2020-07-01 Implementation

Foreword

According to the "Notice of the National Energy Administration on Issuing the Second Batch of Industry Standard System (Revision) Plans in the Energy Sector in.2014" (National Energy Administration Neng Technology [2015] No. 12), the procedure preparation team has conducted extensive investigations and studies, conscientiously summarized practical experience, and solicited extensive opinions On the basis of this, the regulations are formulated. The main technical content of this regulation is. basic regulations, basic data, real-time data processing, solar energy resource analysis and evaluation. This regulation is managed by the National Energy Administration, proposed by the General Institute of Hydropower and Water Conservancy Planning and Design, and is responsible for daily management. The General Institute of Planning and Design is responsible for the explanation of the specific technical content. If you have any comments or suggestions during the implementation process, please send the hydropower and water conservancy planning Design Institute (Address. No. 2, Kangbei Xiaojie, Liupu, Xicheng District, Beijing, Zip Code. 100120). Editor-in-chief of this regulation. General Institute of Hydropower and Water Conservancy Planning and Design Power China Northwest Survey, Design and Research Institute Co., Ltd. Participating unit of this regulation. Shanghai Electric Power Design Institute Co., Ltd. The main drafters of this regulation. Xiao Bin, Zhou Zhi, Ma Gaoxiang, Li Cheng, Zhao Wei, Qin Xiao, and Wang Shuo Lu Song Wang Dandi Fu Zhengning Cui Yun Feng Yungang Lu Guocheng Main reviewers of this regulation. Wang Jixue, Shen Yanbo, Peng Tiankui, Huang Zhiwei, He Yigan, Qidi, Han Xiaoliang Yang Fucheng Wang Xianyang Wang Ruiming Jiao Jiao Qi Zhipeng Ma Qinghu Wang Tingting Yang Dutang Park Ling Li Shisheng

Table of contents

1 General...1 2 Terminology...2 3 Basic regulations...3 4 Basic information...4 4.1 Data Collection...4 4.2 Data requirements...4 5 Measured data processing...5 5.1 Data verification...5 5.2 Data correction...5 6 Analysis and Evaluation of Solar Energy Resources...6 6.1 Construction of a typical meteorological year and data analysis...6 6.2 Analysis of Meteorological Conditions...7 6.3 Conclusions of solar resource assessment...7 Appendix A Checking the Rationality of Meteorological Elements Data...9 Explanation of terms used in this regulation...10 List of Reference Standards...11 Attachment. Article description...12

1 General

1.0.1 In order to standardize the content, methods and technical requirements of solar resource assessment for solar power generation projects, this regulation is formulated. 1.0.2 This regulation is applicable to the assessment of solar resources in photovoltaic power generation projects and solar thermal power generation projects. 1.0.3 The solar energy resource assessment of solar power generation projects shall not only comply with this regulation, but also comply with the regulations of the current relevant national standards. set.

2 term

2.0.1 representative meteorological station It is similar to the natural geographical conditions of the solar power generation project, has similar climatic characteristics, and has measured meteorological data or can pass gas The weather station that obtains long-term solar radiation data is calculated by the method of waiting studies. 2.0.2 Typical meteorological year It can reflect the typical solar resource situation in the place where the solar power generation project is located. composition.

3 Basic regulations

3.0.1 The evaluation of solar energy resources shall be based on the needs of project construction and operation, analyze and obtain solar energy resources in the area where the solar power generation project is Source characteristics and changing laws. 3.0.2 The collection, storage, transmission, use and destruction of solar resource assessment data shall comply with the relevant regulations of national data management.

4 Basic information

4.1 Data collection 4.1.1 Photovoltaic power generation projects should collect the measured data from the solar radiation field observation station. When the solar radiation field observation station is unavailable When measuring data, it can be used to represent the long-term observation data of the weather station or the long-term radiation data calculated, and statistics based on satellite remote sensing data. Calculation data or physical inversion data. 4.1.2 The solar thermal power generation project shall collect the actual measurement data of the solar radiation field observation station, and supplement the collection of long-term data representing the weather station. Data and statistical calculation data or physical inversion data based on satellite remote sensing data. 4.1.3 The equipment and installation requirements of the solar radiation field observation station shall comply with the current national standard "General Radiometer" GB/T 19565, "Direct pyranometer" QX/T 20, "Solar resource measurement total radiation" GB/T 31156, "Solar resource measurement direct Radiation" GB/T 33698, "Solar Resource Measurement Scattered Radiation" GB/T 33699, "Ground Meteorological Observation Specification Radiation" The relevant regulations of GB/T 35231. 4.2 Data requirements 4.2.1 The basic data for solar resource assessment of photovoltaic power generation projects shall include total horizontal radiation, direct horizontal radiation, and scattering Radiation, temperature, wind speed, wind direction data and severe weather conditions. 4.2.2 The evaluation of solar resources for photovoltaic power generation projects should collect normal direct radiation, reflected radiation, and total inclined planes according to the needs of the project. Radiation and other conventional meteorological element data. 4.2.3 The basic data of solar energy resource assessment for solar thermal power generation projects should be collected according to the needs of the project. Total surface radiation, scattered radiation, temperature, relative humidity, wind speed, wind direction, visibility, cloud cover data and severe weather conditions. 4.2.4 The measured data at the solar radiation field observation station should be continuous observation records, and the time series should not be less than a complete year. use The data recording time interval for photovoltaic power generation projects should not be greater than 5 minutes, and it is used for data recording time for solar thermal power generation projects The interval should not be greater than 1 minute. 4.2.5 Represents long-term weather station data and statistical calculation data based on satellite remote sensing data or physical inversion data, and its time series It should be at least the last 10 years of continuous complete year-to-month data. 4.2.6 Represents the multi-year monthly average temperature, multi-year monthly average wind speed, extreme maximum temperature, extreme minimum temperature, multi-year Maximum wind speed and time of occurrence, dominant wind direction, maximum permafrost depth and snow depth, multi-year average precipitation and evaporation, The longest continuous rainy days, thunderstorm days, hail days, sand blowing days, floating dust days, sandstorm days, strong wind days in many years The number and other meteorological elements should be statistical data for at least the past 10 years.

5 Measured data processing

5.1 Data verification 5.1.1 The actual measurement data of the solar radiation field observation station shall be checked for completeness and rationality, and the failure of the instrument and the transmission error shall be excluded. Unreasonable data and missing data caused by errors and other reasons. 5.1.2 The completeness inspection of the measured data of the solar radiation field observation station shall meet the following requirements. 1 The real-time observation time sequence should be the same as the expected time sequence, and should meet the expected start time and end time. Should be continuous. 2 The amount of observed data recorded in real time in a certain time sequence should be equal to the amount of expected recorded data. 3 The effective data integrity rate of the measured data should be above 95%. 5.1.3 The effective data integrity rate shall be calculated as follows. (5.1.3) In the formula. - effective data integrity rate; -The number of data expected to be recorded; --The number of records without solar radiation data; --The number of solar radiation data confirmed as unreasonable. 5.1.4 The rationality check of the measured meteorological element data should be carried out from three aspects. climatological limit, range of change and internal consistency. The rationality test of the measured meteorological element data shall meet the requirements of Appendix A of this Regulation. 5.2 Data correction 5.2.1 In data correction, imputation methods should be used to correct unreasonable data and missing data. 5.2.2 The validity of the reference materials shall be confirmed before data correction. 5.2.3 Data correction should select the reference data around the solar radiation field observatory at the same time, and the priority order of the reference data should be selected. It is the measured data of the solar radiation field observation station, representative weather station data, statistical calculation data based on satellite remote sensing data, or physical Invert the data. 5.2.4 During data interpolation, the data closest to the time of the missing measurement and the same weather phenomenon can be selected from the actual measured data for interpolation. 5.2.5 The revised effective data integrity rate should reach 100%.

6 Analysis and Evaluation of Solar Energy Resources

6.1 Construction of a typical meteorological year and data analysis 6.1.1 The solar power generation project should build a typical meteorological year data that meets the needs of the project on the basis of the collected meteorological data. The time interval of type meteorological year data should not be greater than 1 hour. 6.1.2 In the analysis of solar resource data, when there is no actual measurement data from the solar radiation field observation station in the basic data, the representative gas Based on the meteorological data of at least the past 10 years at the satellite station, or directly use the statistical calculation data and physical inversion data of satellite remote sensing data. According to the standard month for constructing a typical meteorological year. 6.1.3 The standard month of a typical meteorological year should be selected according to the following steps. 1 Calculate the average value of each component meteorological element every month and year; 2 Calculate the multi-year average value and standard deviation of each component meteorological element each month; 3 The monthly average values of the meteorological elements should be standardized as follows. (6.1.3-1) In the formula. - the standardized value of each constituent meteorological element; --Select the serial number of meteorological elements; --Month serial number; --The serial number of the year. 4 Carry out a weighted summation of each year and month according to the following formula. (6.1.3-2) In the formula. - the weighted value of the weighted summation of each element; --The weight of each selected parameter. 5 Select the smallest month as the standard month month by month. 6.1.4 In the analysis of solar resource data, when the basic data includes the actual measurement data of the solar radiation field observation station, it should be combined with the representative Long-term data from meteorological stations, statistical calculation data based on satellite remote sensing data or physical inversion data, and solar radiation field observation stations The measured data are compared and confirmed to form typical meteorological year data. 6.1.5 Photovoltaic power generation projects respond to changes in the total horizontal plane radiation and scattered radiation during the year, typical intraday changes and adjacent time changes Analyze the probability density distribution of the rate, and it is advisable to analyze the annual changes and typical daily changes of normal direct radiation and reflected radiation according to the needs of the project. Analysis of internal changes. 6.1.6 For solar thermal power generation projects, the cumulative frequency distribution and probability density distribution of the total hours of normal direct radiation during the year shall be analyzed. Analysis. 6.2 Analysis of Meteorological Conditions 6.2.1 Solar power generation projects should analyze the impact of severe weather such as strong winds, thunderstorms, hail, and rainstorms on the construction and operation of the project... ......

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