CN110766291A - A method for acquiring daily total radiation data on the horizontal plane based on solar radiation partitions - Google Patents
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Abstract
本发明公开了一种基于太阳辐射分区的水平面日总辐射数据的获取方法,以气象数据为基础使用聚类分析的分区方法来获得太阳辐射分区,加大了参与分区的数据量,提高分区结果的准确性,从而提高了太阳辐射数据获得的准确性;采用了聚类算法与地理分布相结合的分区方法,区划结果兼顾了客观性和实用性,从而提高了太阳辐射数据获得的准确性;提出了针对辐射区域的日总辐射计算模型,并提出区域模型常数系数的确定方法,为我国无辐射观测数据地区生成日总辐射量提供了一种新的获得方法,且提高了太阳辐射数据获得的准确性。The invention discloses a method for acquiring daily total radiation data on a horizontal plane based on solar radiation partitions. Based on meteorological data, a cluster analysis partitioning method is used to obtain solar radiation partitions, which increases the amount of data involved in partitioning and improves partitioning results. Therefore, the accuracy of solar radiation data acquisition is improved; the zoning method combining clustering algorithm and geographic distribution is adopted, and the zoning results take into account both objectivity and practicability, thus improving the accuracy of solar radiation data acquisition; A calculation model of the total daily radiation for the radiation area is proposed, and a method for determining the constant coefficient of the regional model is proposed, which provides a new acquisition method for generating the daily total radiation in areas without radiation observation data in my country, and improves the acquisition of solar radiation data. accuracy.
Description
技术领域technical field
本发明涉及太阳日总辐射数据的获取方法,具体涉及一种基于太阳辐射分区的水平面日总辐射数据的获取方法。The invention relates to a method for acquiring solar daily total radiation data, in particular to a method for acquiring horizontal surface daily total radiation data based on solar radiation partitions.
背景技术Background technique
太阳辐射作为影响建筑室内热环境、人体热舒适和建筑能耗的关键气象要素,其数据是制定建筑热环境设计策略的重要依据。随着我国城镇化进程不断深入以及日益突显的精细化、精准化建设需求,对辐射数据提出了较高的要求。Solar radiation is a key meteorological element that affects the indoor thermal environment of buildings, human thermal comfort and building energy consumption, and its data is an important basis for formulating building thermal environment design strategies. With the continuous deepening of my country's urbanization process and the increasingly prominent demand for refined and precise construction, higher requirements for radiation data have been put forward.
一般太阳辐射数据是通过太阳辐射观测台站直接观测获得,但限于资金和维护等问题,我国太阳辐射地面观测台站仅有98个,其数量与我国城镇化的发展需求极不匹配,对于没有设置太阳辐射观测站点地区的太阳辐射数据是无法通过测量获得的,太阳辐射数据的匮乏极大制约了建筑节能设计的深入。Generally, solar radiation data is obtained through direct observation by solar radiation observation stations. However, due to issues such as funding and maintenance, there are only 98 solar radiation ground observation stations in my country. The solar radiation data in the area where the solar radiation observation station is set cannot be obtained by measurement, and the lack of solar radiation data greatly restricts the depth of building energy-saving design.
发明内容SUMMARY OF THE INVENTION
本发明的目的在于提供一种基于太阳辐射分区的水平面日总辐射数据的获取方法,用以解决现有技术对于某些没有设置太阳辐射观测站点地区无法获得太阳辐射数据的问题。The purpose of the present invention is to provide a method for acquiring solar radiation zone-based total daily radiation data on a horizontal plane, so as to solve the problem that solar radiation data cannot be obtained in some areas without solar radiation observation stations in the prior art.
为了实现上述任务,本发明采用以下技术方案:In order to realize the above-mentioned tasks, the present invention adopts the following technical solutions:
一种基于太阳辐射分区的水平面日总辐射数据获取方法,用于根据气象观测站点采集的气象数据获得目标地区的日太阳总辐射量,所述的目标地区没有辐射观测站点,按照以下步骤执行:A method for acquiring daily total solar radiation data on a horizontal plane based on solar radiation partitions, which is used to obtain the daily total solar radiation in a target area according to meteorological data collected by a meteorological observation site, where the target area has no radiation observation site, and is performed according to the following steps:
步骤1、获取地理范围内中多个气象观测站点的气象数据,根据气象数据,获得观测数据矩阵;
对所述的观测数据矩阵进行聚类,获得多个标签;Clustering the observed data matrix to obtain multiple labels;
根据所述的标签对地理范围进行划分,获得多个太阳辐射分区,所述的太阳辐射分区包括至少一个地区,其中一个太阳辐射分区包括目标地区;Divide the geographic range according to the label, and obtain a plurality of solar radiation subregions, wherein the solar radiation subregions include at least one region, and one solar radiation subregion includes a target region;
步骤2、获得目标地区所在太阳辐射分区的累年日平均晴空指数;
步骤3、根据所述目标地区所在太阳辐射分区的累年日平均晴空指数,选择日总辐射量计算模型,具体包括:
若累年日平均晴空指数小于等于0.4,则日太阳总辐射量计算模型为其中G为日太阳总辐射量,单位为MJ/m2,G0为日天文总辐射量,单位为MJ/m2,Tmax为气象观测站点获得的日最高气温,单位为℃,Tmin为气象观测站点获得的日最低气温,单位为℃,S为气象观测站点获得的日照时数,单位为h,S0为气象观测站点获得的可照时数,单位为h;a、b以及c均为常数系数;If the daily average clear sky index over the years is less than or equal to 0.4, the calculation model of the daily total solar radiation is as follows: where G is the total daily solar radiation, the unit is MJ/m 2 , G 0 is the daily astronomical total radiation, the unit is MJ/m 2 , T max is the daily maximum temperature obtained by the meteorological observation station, the unit is °C, T min is the daily minimum temperature obtained by the meteorological observation station, the unit is °C, S is the sunshine hours obtained by the meteorological observation station, the unit is h, S 0 is the available sunshine hours obtained by the meteorological observation station, the unit is h; a, b and c are constant coefficients;
若累年日平均晴空指数大于0.4且小于等于0.55,则日太阳总辐射量计算模型为其中E为气象观测站点获得的平均气压,单位为hPa,d为常数系数;If the daily average clear sky index over the years is greater than 0.4 and less than or equal to 0.55, the calculation model of daily total solar radiation is Among them, E is the mean air pressure obtained by the meteorological observation station, the unit is hPa, and d is the constant coefficient;
若累年日平均晴空指数大于0.55,则日太阳总辐射量计算模型为 If the daily average clear sky index over the years is greater than 0.55, the calculation model of the daily total solar radiation is as follows:
步骤4、根据所述的日总辐射计算模型,获得所述的目标地区的日太阳总辐射量。Step 4: Obtain the daily total solar radiation of the target area according to the daily total radiation calculation model.
进一步地,获得所述步骤2中日总辐射计算模型的常数系数,具体包括:Further, obtain the constant coefficient of the calculation model of the total daily radiation in the
在目标地区所在太阳辐射分区包括的所有地区中,选择至少一个标本地区,所述的标本地区为同时具有气象观测站点以及辐射观测站点的地区;From all the regions included in the solar radiation zone where the target region is located, at least one sample region is selected, and the sample region is a region that has both a meteorological observation site and a radiation observation site;
获得每一个标本地区中的气象观测数据以及辐射观测数据,获得标本数据,其中所述的气象观测数据包括可照时数S0以及气象观测站点获得的日照时数S,还包括气象观测站点获得的日最高气温Tmax和气象观测站点获得的日最低气温Tmin和/或气象观测站点获得的平均气压E,所述的辐射观测数据包括标本地区的日太阳总辐射量G;Obtain the meteorological observation data and radiation observation data in each sample area, and obtain the sample data, wherein the meteorological observation data includes the number of hours of sunshine S 0 and the number of sunshine hours S obtained by the meteorological observation station, and also includes the number of hours of sunshine obtained by the meteorological observation station. The daily maximum temperature T max and the daily minimum temperature T min obtained by the meteorological observation station and/or the average air pressure E obtained by the meteorological observation station, the radiation observation data includes the daily total solar radiation G of the sample area;
利用所述的标本数据对选择的日总辐射计算模型进行回归,获得所述的日总辐射计算模型的常数系数。The selected calculation model of total daily radiation is regressed by using the sample data, and the constant coefficient of the calculation model of total daily radiation is obtained.
进一步地,所述的步骤1具体包括:Further, the
步骤1.1、获取地理范围内N个具有地面气象观测站点地区的在t1年-t2年之间的观测数据,获得每个有气象观测站点地区的日照时数累年月均值数据以及日平均气温累年月均值数据,N为地面气象观测台站数量,N为正整数;Step 1.1. Obtain the observation data between the years t1 and t2 in N areas with surface meteorological observation stations within the geographic range, and obtain the cumulative annual and monthly average data of sunshine hours and the cumulative daily average temperature of each area with meteorological observation stations. Annual and monthly mean data, N is the number of ground meteorological observation stations, N is a positive integer;
其中任一个有气象观测站点地区的日照时数的累年月均值数据包括其中表示第m个月日照时数累年月均值;任一个有气象观测站点地区的日平均气温累年月均值数据包括其中表示第m个月平均气温累年月均值;The annual monthly mean data of sunshine hours in any one of the areas with meteorological observation stations include: in Indicates the cumulative annual monthly average of sunshine hours in the mth month; the daily average temperature in any area with a meteorological observation station includes the cumulative annual monthly average data in Represents the cumulative annual monthly average temperature of the mth month;
步骤1.2、将所述的每个有气象观测站点地区的日照时数的累年月均值数据以及平均气温累年月均值数据填充至一个N×25的矩阵中,获得观测数据矩阵;Step 1.2, filling the annual monthly mean data and the annual monthly mean data of the average temperature in each of the regions with meteorological observation stations into an N×25 matrix to obtain an observation data matrix;
所述的观测数据矩阵中每一行代表一个观测站点,第一列代表观测站点的编号,第二列至第十三列表示第1个月至第12个月日照时数累年月均值,第十四列至第二十五列表示第1个月至第12个月平均气温累年月均值;Each row in the observed data matrix represents an observation site, the first column represents the number of the observation site, the second to thirteenth columns represent the monthly average of sunshine hours from the first month to the 12th month, the The fourteenth to twenty-fifth columns represent the annual average temperature from the first month to the 12th month;
步骤1.3、对所述的观测数据矩阵中第二列至第二十五列的数值进行归一化,获得归一化后的观测数据矩阵;Step 1.3, normalize the values in the second column to the twenty-fifth column in the observed data matrix to obtain a normalized observed data matrix;
步骤1.4、对所述的归一化后的观测数据矩阵进行层次聚类,获得标签类数;Step 1.4, perform hierarchical clustering on the normalized observation data matrix to obtain the number of label classes;
根据所述的标签类数,为每一个有气象观测站点地区分配标签;Assign a label to each area with a meteorological observation station according to the number of label classes;
步骤1.5、根据所述的标签,对地理范围对应的地图进行划分,具体包括:Step 1.5. According to the label, divide the map corresponding to the geographic range, including:
将同一标签对应的至少包含一个气象观测站点地区划分为一个太阳辐射分区,获得多个太阳辐射分区。Divide the area corresponding to the same label that contains at least one meteorological observation station into one solar radiation partition to obtain multiple solar radiation partitions.
进一步地,所述的步骤1.4中对所述的归一化后的观测数据矩阵进行层次聚类,获得标签类数,具体包括:Further, in the step 1.4, hierarchical clustering is performed on the normalized observation data matrix to obtain the number of label classes, which specifically includes:
对所述的归一化后的观测数据矩阵进行层次聚类,获得层次聚类中离差平方和曲线的拐点;Perform hierarchical clustering on the normalized observation data matrix to obtain the inflection point of the squared deviation curve in the hierarchical clustering;
将所述的离差平方和曲线拐点的数量的值作为标签类数。Take the value of the number of inflection points of the sum of squared deviations as the number of label classes.
进一步地,将同一标签对应的至少一个有气象观测站点地区划分为一个太阳辐射分区,获得多个太阳辐射分区,具体按照以下步骤执行:Further, at least one area with a meteorological observation site corresponding to the same label is divided into one solar radiation partition, and multiple solar radiation partitions are obtained, and the specific steps are as follows:
步骤1.5.1、将标签相同的有气象观测站点地区划分为同一类,将同一类地区作为一个区域,获得多个区域,其中每个区域包括至少一个有气象观测站点地区;Step 1.5.1. Divide the same-labeled areas with meteorological observation stations into the same category, take the same category of areas as one area, and obtain multiple areas, each of which includes at least one area with meteorological observation stations;
步骤1.5.2、将所述的多个区域映射至地理范围对应的地图上,获得分区图;Step 1.5.2, map the multiple areas to the map corresponding to the geographic range to obtain a zoning map;
步骤1.5.3、在所述的分区图中寻找相邻的两个区域,获得相邻的两个区域的分界线,具体按照以下步骤执行:Step 1.5.3. Find two adjacent areas in the partition map, and obtain the boundary between the two adjacent areas. The specific steps are as follows:
步骤1.5.3.1、在所述的分区图中寻找相邻的两个区域,分别为A区域和B区域,分别获得A区域和B区域边缘的有气象观测站点地区位置点集;Step 1.5.3.1. Find two adjacent areas in the zoning map, namely area A and area B, respectively, and obtain the location point sets of areas with meteorological observation stations on the edge of area A and area B respectively;
其中A区域边缘的有气象观测站点地区位置点集包括I个A区域边缘点,B区域边缘的有气象观测站点地区位置点集包括J个B区域边缘点,I与J均为正整数;Among them, the area location point set with meteorological observation stations on the edge of area A includes one area A edge point, and the area location point set with meteorological observation stations on the edge of area B includes J area B area edge points, and I and J are both positive integers;
步骤1.5.3.2、计算第i个A区域边缘点与J个B区域边缘点之间的大地距离,将大地距离最近的第j个B区域边缘点与第i个A区域边缘点之间大地距离的中点作为一个边界点,其中i≤I,j≤J;Step 1.5.3.2. Calculate the geodetic distance between the i-th edge point of A area and the J edge points of B area, and calculate the geodetic distance between the j-th B-area edge point with the nearest geodetic distance and the i-th A-area edge point The midpoint of , as a boundary point, where i≤I, j≤J;
步骤1.5.3.3、重复步骤1.5.3.2,直至获得所有边界点,将所有边界点连成线,获得相邻的两个区域的分界线;Step 1.5.3.3, repeat step 1.5.3.2 until all boundary points are obtained, connect all boundary points into a line, and obtain the boundary line between two adjacent areas;
步骤1.5.4、重复步骤1.5.3直至获得了所有的分界线,根据所述的分界线对地理范围进行划分,获得多个太阳辐射分区。Step 1.5.4, repeat step 1.5.3 until all the dividing lines are obtained, divide the geographic range according to the dividing lines, and obtain a plurality of solar radiation divisions.
本发明与现有技术相比具有以下技术效果:Compared with the prior art, the present invention has the following technical effects:
1、本发明提供的基于太阳辐射分区的水平面日总辐射数据的获取方法考虑到我国地面气象观测台站数量远多于辐射观测台站,利用气象数据获得辐射分区的方法,加大了参与分区的数据量,提高分区结果的准确性,从而提高了太阳辐射数据获得的准确性;1. The method for obtaining the total daily radiation data on the horizontal plane based on the solar radiation partition provided by the present invention takes into account that the number of ground meteorological observation stations in my country is far more than the radiation observation station, and the method of obtaining the radiation partition by using the meteorological data increases the participation in the partition. The amount of data can improve the accuracy of partition results, thereby improving the accuracy of solar radiation data acquisition;
2、本发明提供的基于太阳辐射分区的水平面日总辐射数据的获取方法采用了聚类算法与地理分布相结合的分区方法,区划结果兼顾了客观性和实用性,从而提高了太阳辐射数据获得的准确性;2. The method for obtaining the solar radiation zoning-based horizontal plane total daily radiation data provided by the present invention adopts a zoning method combining clustering algorithm and geographic distribution, and the zoning results take into account both objectivity and practicability, thereby improving the acquisition of solar radiation data. accuracy;
3、本发明提供的基于太阳辐射分区的水平面日总辐射数据的获取方法提出了针对辐射区域的日总辐射计算模型,并提出区域模型常数系数的确定方法,为我国无辐射观测数据地区生成日总辐射量提供了一种新的获得方法,且提高了太阳辐射数据获得的准确性。3. The method for acquiring the daily total radiation data on the horizontal plane based on the solar radiation zone provided by the present invention proposes a calculation model for the total daily radiation for the radiation area, and proposes a method for determining the constant coefficient of the regional model, so as to generate daily total radiation data for areas without radiation observation data in my country. The total radiation provides a new method of obtaining and improves the accuracy of solar radiation data.
附图说明Description of drawings
图1为本发明的一个实施例中提供的离差平方和曲线;Fig. 1 is a deviation sum-of-squares curve provided in an embodiment of the present invention;
图2为本发明的一个实施例中提供的层次聚类结果示意图;2 is a schematic diagram of a hierarchical clustering result provided in an embodiment of the present invention;
图3为本发明的一个实施例中提供的分界线获得示意图;3 is a schematic diagram of obtaining a dividing line provided in an embodiment of the present invention;
图4为本发明的一个实施例中提供的太阳辐射分区示意图。FIG. 4 is a schematic diagram of a solar radiation partition provided in an embodiment of the present invention.
具体实施方式Detailed ways
下面结合附图和实施例对本发明进行详细说明。以便本领域的技术人员更好的理解本发明。需要特别提醒注意的是,在以下的描述中,当已知功能和设计的详细描述也许会淡化本发明的主要内容时,这些描述在这里将被忽略。The present invention will be described in detail below with reference to the accompanying drawings and embodiments. In order for those skilled in the art to better understand the present invention. It should be noted that, in the following description, when the detailed description of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.
以下对本发明涉及的定义或概念内涵做以说明:The definitions or concepts involved in the present invention are described below:
日太阳总辐射量:一天内的太阳总辐射量。Total daily solar radiation: The total solar radiation in a day.
晴空指数:入射到水平面的太阳总辐射量与天文辐射之比。Clear sky index: The ratio of the total solar radiation incident on the horizontal plane to the astronomical radiation.
日照时数:指一天内太阳直射光线照射地面的时间,由气象观测站观测得出。Sunshine hours: refers to the time of direct sunlight shining on the ground in a day, which is observed by meteorological observation stations.
可照时数(天文可照时数):在无任何遮蔽条件下,太阳中心从某地东方地平线到进入西方地平线,其光线照射到地面所经历的时间,对于每个地区每日可照时数是一个由地理参数及天文参数计算出来的固定数值。The number of hours that can be illuminated (astronomical hours): under the condition of no shading, the time it takes for the sun's center to reach the ground from the eastern horizon to the western horizon, the daily illuminating hours for each region The number is a fixed value calculated from geographic and astronomical parameters.
日天文辐射总量:地球表面不考虑大气影响、仅由日地天文关系所决定的太阳辐射,对于每个地区每日天文辐射总量是一个由地理参数及天文参数计算出来的固定数值。Total daily astronomical radiation: the solar radiation on the earth's surface, which is determined only by the astronomical relationship between the sun and the earth without considering the influence of the atmosphere. For each region, the total daily astronomical radiation is a fixed value calculated from geographical parameters and astronomical parameters.
在本实施例中公开了一种基于太阳辐射分区的水平面日总辐射数据获取方法,用于根据气象观测站点获得的气象数据计算目标地区的水平面逐日太阳总辐射量,所述的目标地区无辐射观测站点。In this embodiment, a method for acquiring daily total solar radiation data on a horizontal plane based on solar radiation partitions is disclosed, which is used to calculate the daily total solar radiation on a horizontal plane in a target area according to meteorological data obtained by a meteorological observation site, and the target area has no radiation. observation site.
按照以下步骤执行:Follow these steps:
步骤1、获取地理范围内中多个气象观测站点的气象数据,根据气象数据,获得观测数据矩阵;
对所述的观测数据矩阵进行聚类,获得多个标签;Clustering the observed data matrix to obtain multiple labels;
根据所述的标签对地理范围进行划分,获得多个太阳辐射分区,所述的太阳辐射分区包括至少一个地区,其中一个太阳辐射分区包括目标地区;Divide the geographic range according to the label, and obtain a plurality of solar radiation subregions, wherein the solar radiation subregions include at least one region, and one solar radiation subregion includes a target region;
在本发明中,地理范围可以是全世界范围、全亚洲范围或者全国范围,地理范围可以根据目标地区所在地进行自行确定,例如目标地区为林芝地区,那么地理范围可以是全中国或者全亚洲;或者目标地区为北海道,那么地理范围可以是全日本或者是全亚洲。In the present invention, the geographic scope can be the whole world, the entire Asia or the whole country, and the geographic scope can be determined according to the location of the target area. For example, if the target area is the Nyingchi area, then the geographic scope can be the entire China or the entire Asia; or The target area is Hokkaido, then the geographic scope can be all of Japan or all of Asia.
在本实施例中,以全中国(除港澳地区)范围为例。In this embodiment, the whole China (except Hong Kong and Macau) is taken as an example.
在本步骤中,气象数据包括日照时数、日平均气温、平均气压、平均风速、平均相对湿度及日较差等,但是为了提高方法最终获得日照辐射数据的准确性,首先对气象数据进行筛选。In this step, the meteorological data includes sunshine hours, daily average temperature, average air pressure, average wind speed, average relative humidity, and daily range, etc. However, in order to improve the accuracy of the final solar radiation data obtained by the method, the meteorological data are first screened .
在本实施例中,利用全中国91个既具有气象观测又具有太阳辐射观测的观测站点2000-2013年的逐日气象(日照时数、日平均气温、平均气压、平均风速、平均相对湿度及日较差)和日总辐射观测数据,逐一计算每个气象参数与日总辐射的偏相关及复相关系数,相关性检验结果显示日照时数和日平均温度与日总辐射的相关性高于其他气象参数,选择日照时数和日平均气温作为太阳辐射气候分区指标。In this example, the daily meteorology (sunshine hours, daily average temperature, average air pressure, average wind speed, average relative humidity and The partial correlation and complex correlation coefficient between each meteorological parameter and the daily total radiation are calculated one by one. The correlation test results show that the correlation between sunshine hours and daily average temperature and daily total radiation is higher than other Meteorological parameters, select sunshine hours and daily average temperature as solar radiation climate zoning indicators.
可选地,所述的步骤1具体包括:Optionally, the
步骤1.1、获取地理范围内N个具有地面气象观测站点地区的在t1年-t2年之间的观测数据,获得每个有气象观测站点地区的日照时数累年月均值数据以及日平均气温累年月均值数据,N为地面气象观测台站数量,N为正整数;Step 1.1. Obtain the observation data between the years t1 and t2 in N areas with surface meteorological observation stations within the geographic range, and obtain the cumulative annual and monthly average data of sunshine hours and the cumulative daily average temperature of each area with meteorological observation stations. Annual and monthly mean data, N is the number of ground meteorological observation stations, N is a positive integer;
其中任一个有气象观测站点地区的日照时数的累年月均值数据包括其中表示第m个月日照时数累年月均值;任一个有气象观测站点地区的平均气温累年月均值数据包括其中表示第m个月平均气温累年月均值;The annual monthly mean data of sunshine hours in any one of the areas with meteorological observation stations include: in Indicates the cumulative annual monthly average of sunshine hours in the mth month; the cumulative annual monthly average data of the average temperature in any area with a meteorological observation station include: in Represents the cumulative annual monthly average temperature of the mth month;
在本实施例中,聚类数据来自中国地面气候资料日值数据集。选择1984年1月1日~2013年12月31日之间全国气象观测数据连续记录超过20年的641个观测站点。In this embodiment, the clustering data comes from the daily value dataset of China's ground climate data. We selected 641 observation sites whose meteorological observation data from January 1, 1984 to December 31, 2013 had been continuously recorded for more than 20 years.
分别计算641个台站1984年~2013年日照时数和日平均气温的累年月均值。The cumulative monthly average values of sunshine hours and daily average temperature of 641 stations from 1984 to 2013 were calculated respectively.
第m月日照时数累年月均值,m=1,2……,12。单位:小时(h)。 The monthly mean value of sunshine hours in the mth month, m=1,2...,12. Unit: hour (h).
Sy(m):第y年第m月日照时数月均值,y=1,2……,n,20<n≤30。单位:小时(h)。S y(m) : the monthly average value of sunshine hours in the mth month of the yth year, y=1, 2...,n, 20<n≤30. Unit: hour (h).
第m月日平均气温累年月均值,m=1,2……,12。单位:℃。 The daily average temperature of the mth month is the cumulative annual monthly average, m=1,2...,12. Unit: °C.
Ty(m):第y年第m月日平均气温月均值,y=1,2……,n,20<n≤30。单位:℃。T y(m) : the monthly average temperature of the mth month in the yth year, y=1,2...,n, 20<n≤30. Unit: °C.
步骤1.2、将所述的每个有气象观测站点地区的日照时数的累年月均值数据以及平均气温累年月均值数据填充至一个N×25的矩阵中,获得观测数据矩阵;Step 1.2, filling the annual monthly mean data and the annual monthly mean data of the average temperature in each of the regions with meteorological observation stations into an N×25 matrix to obtain an observation data matrix;
所述的观测数据矩阵中每一行代表一个观测站点,第一列代表观测站点的编号,第二列至第十三列表示第1个月至第12个月日照时数累年月均值,第十四列至第二十五列表示第1个月至第12个月平均气温累年月均值;Each row in the observed data matrix represents an observation site, the first column represents the number of the observation site, the second to thirteenth columns represent the monthly average of sunshine hours from the first month to the 12th month, the The fourteenth to twenty-fifth columns represent the annual average temperature from the first month to the 12th month;
在本实施例中,建立一个641×25的观测矩阵,矩阵行数为641,每一行代表一个观测站点,矩阵列数为25,第1列是台站号,第2~13列是1月~12月日照时数累年月均值,第14~25列是1月~12月日平均气温累年月均值。In this embodiment, a 641×25 observation matrix is established, the number of rows in the matrix is 641, each row represents an observation site, the number of columns in the matrix is 25, the first column is the station number, and the second to 13th columns are January The cumulative annual monthly average of sunshine hours from December to December, and the 14th to 25th columns are the cumulative annual monthly average of the daily average temperature from January to December.
步骤1.3、对所述的观测数据矩阵中第二列至第二十五列的数值进行归一化,获得归一化后的观测数据矩阵;Step 1.3, normalize the values in the second column to the twenty-fifth column in the observed data matrix to obtain a normalized observed data matrix;
在本实施例中,对观测数据矩阵第2~25列的数据进行归一化处理,消除日照时数和日平均气温的量纲差异。In this embodiment, the data in the 2nd to 25th columns of the observation data matrix is normalized to eliminate the dimensional difference between the sunshine hours and the daily average temperature.
步骤1.4、对所述的归一化后的观测数据矩阵进行层次聚类,获得标签类数;Step 1.4, perform hierarchical clustering on the normalized observation data matrix to obtain the number of label classes;
根据所述的标签类数,为每一个有气象观测站点地区分配标签;Assign a label to each area with a meteorological observation station according to the number of label classes;
可选地,所述的步骤1.4中对所述的归一化后的观测数据矩阵进行层次聚类,获得标签类数,具体包括:Optionally, in the step 1.4, hierarchical clustering is performed on the normalized observation data matrix to obtain the number of label classes, specifically including:
对所述的归一化后的观测数据矩阵进行层次聚类,获得层次聚类中离差平方和曲线拐点的数量;Perform hierarchical clustering on the normalized observation data matrix to obtain the number of inflection points of the sum of squared deviations in the hierarchical clustering;
将所述的离差平方和曲线拐点的数量的值作为标签类数。Take the value of the number of inflection points of the sum of squared deviations as the number of label classes.
在本实施例中,采用层次聚类中的自下向上的凝聚分类方法完成太阳辐射区划,聚类初始时每一个样本各自为一类,类与类归并选用Ward算法,样本之间的距离采用平方欧式(Euclidean)距离。当类与类逐次归并时会产生新的离差平方和,离差平方和曲线如图1所示,根据曲线拐点判断我国太阳辐射最佳分类数为8,聚类结果如图2所示。In this embodiment, the bottom-up agglomerative classification method in hierarchical clustering is used to complete the solar radiation zoning. At the beginning of the clustering, each sample belongs to a class, and the Ward algorithm is used for merging the classes, and the distance between the samples is Squared Euclidean distance. When the classes are merged successively, a new sum of squares of dispersion will be generated. The curve of the sum of squares of dispersion is shown in Figure 1. According to the inflection point of the curve, it is judged that the optimal number of solar radiation classifications in my country is 8, and the clustering results are shown in Figure 2.
步骤1.5、根据所述的标签,将同一标签对应的至少一个有气象观测站点地区划分为一个太阳辐射分区,获得多个太阳辐射分区。Step 1.5. According to the label, at least one area with a meteorological observation station corresponding to the same label is divided into one solar radiation zone, and multiple solar radiation zones are obtained.
在本实施例中,如图2所示,同一类型标签所含站点地区在空间分布上大多集中在一个地理区域,但有个别站点地区远离本类型标签的集中区域,处于其他类型标签的集中区域,称其为离群点,例如第3类离群点的地理位置处于第2类标签的聚集区域,划分太阳辐射分区时不考虑离群点,将同类型标签集中的地理区域划分为一个辐射区。In this embodiment, as shown in FIG. 2 , most of the site areas contained in the same type of label are concentrated in one geographical area in terms of spatial distribution, but some site areas are far away from the concentrated area of this type of label and are located in the concentrated area of other types of labels , and call it an outlier. For example, the geographic location of the third type of outlier is in the aggregation area of the second type of label. When dividing the solar radiation partition, the outlier is not considered, and the geographical area in the same type of label set is divided into a radiation Area.
可选地,所述的步骤1.5中根据所述的标签,将同一标签对应的至少一个有气象观测站点地区划分为一个太阳辐射分区,获得多个太阳辐射分区,具体按照以下步骤执行:Optionally, in the step 1.5, according to the label, at least one area with a meteorological observation site corresponding to the same label is divided into a solar radiation zone, and multiple solar radiation zones are obtained, and the specific steps are as follows:
步骤1.5.1、将标签相同的有气象观测站点地区划分为同一类,将同一类地区作为一个区域,获得多个区域,其中每个区域包括至少一个有气象观测站点地区;Step 1.5.1. Divide the same-labeled areas with meteorological observation stations into the same category, take the same category of areas as one area, and obtain multiple areas, each of which includes at least one area with meteorological observation stations;
步骤1.5.2、将所述的多个区域映射至地理范围对应的地图上,获得分区图;Step 1.5.2. Map the multiple areas to the map corresponding to the geographic range to obtain a zoning map;
步骤1.5.3、在所述的分区图中寻找相邻的两个区域,获得相邻的两个区域的分界线,具体按照以下步骤执行:Step 1.5.3. Find two adjacent areas in the partition map, and obtain the boundary between the two adjacent areas. The specific steps are as follows:
步骤1.5.3.1、在所述的分区图中寻找相邻的两个区域,分别为A区域和B区域,分别获得A区域和B区域边缘的有气象观测站点地区位置点集;Step 1.5.3.1. Find two adjacent areas in the zoning map, namely area A and area B, and obtain the location point set of the area with meteorological observation stations on the edge of area A and area B respectively;
其中A区域边缘的有气象观测站点地区位置点集包括I个A区域边缘点,B区域边缘的有气象观测站点地区位置点集包括J个B区域边缘点,I与J均为正整数;Among them, the area location point set with meteorological observation stations on the edge of area A includes one area A edge point, and the area location point set with meteorological observation stations on the edge of area B includes J area B area edge points, and I and J are both positive integers;
步骤1.5.3.2、计算第i个A区域边缘点与J个B区域边缘点之间的大地距离,将大地距离最近的第j个B区域边缘点与第i个A区域边缘点之间大地距离的中点作为一个边界点,其中i≤I,j≤J;Step 1.5.3.2. Calculate the geodetic distance between the i-th edge point of A area and the J edge points of B area, and calculate the geodetic distance between the j-th B-area edge point with the nearest geodetic distance and the i-th A-area edge point The midpoint of , as a boundary point, where i≤I, j≤J;
步骤1.5.3.3、重复步骤1.5.3.2,直至获得所有边界点,将所有边界点连成线,获得相邻的两个区域的分界线;Step 1.5.3.3, repeat step 1.5.3.2 until all boundary points are obtained, connect all boundary points into a line, and obtain the boundary line between two adjacent areas;
步骤1.5.4、重复步骤1.5.3直至获得了所有的分界线,根据所述的分界线对地理范围进行划分,获得多个太阳辐射分区。Step 1.5.4. Repeat step 1.5.3 until all the dividing lines are obtained, and divide the geographic range according to the dividing lines to obtain a plurality of solar radiation divisions.
在本实施例中,随机取5类与6类边缘区域的若干点,如图3所示,i,i+1,i+2,…是第5类的边缘点,j,j+1,j+2,j+3,…是第6类的边缘点,根据边缘点的经纬度,使用高斯平均引数反算公式计算两点之间的大地距离。In this embodiment, several points in the 5-type and 6-type edge regions are randomly selected, as shown in Figure 3, i, i+1, i+2, ... are the edge points of the fifth category, j, j+1, j+2, j+3,... are the edge points of the sixth category. According to the latitude and longitude of the edge points, the inverse calculation formula of the Gaussian average argument is used to calculate the geodetic distance between the two points.
以i点为例,其与j点的距离用Si,j表示,类似的与j+1,j+2,j+3,…的距离分别表示为Si,j+1,Si,j+2,Si,j+3…。取Min(Si,j,Si,j+1,Si,j+2,Si,j+3,…),假设结果为Si,j,则计算i点与j点大地距离的中点,将其作为一个边界点,按照以上步骤依次完成针对第i+1,i+2,…直至第I个点的计算,得到多个边界点,将这些点用平滑曲线连接作为第5类和第6类的边界线。Taking point i as an example, its distance from point j is represented by Si,j , and the similar distances from point j+1,j+2,j+3,... are represented by Si ,j+1 , Si , j+2 , S i,j+3 . . . Take Min(S i,j ,S i,j+1 ,S i,j+2 ,S i,j+3 ,…), assuming the result is S i,j , then calculate the geodetic distance between point i and point j The midpoint is taken as a boundary point, and the calculation for the i+1, i+2, ... until the first point is completed according to the above steps, and multiple boundary points are obtained, and these points are connected with a smooth curve as the fifth Class and
在本实施例中,最终获得8个太阳辐射分区,如图4所示。In this embodiment, 8 solar radiation partitions are finally obtained, as shown in FIG. 4 .
步骤2、获得目标地区所在太阳辐射分区的累年平均晴空指数;
在本实施例中,Kt:日晴空指数(无量纲),G为日总辐射量(MJ/m2),G0为日天文总辐射量(MJ/m2)。In this embodiment, K t : daily clear sky index (dimensionless), G is the daily total radiation (MJ/m 2 ), and G 0 is the daily astronomical total radiation (MJ/m 2 ).
式中,ISC为太阳常数,取4.921MJ/m2;E0为地球轨道的离心率修正因子。In the formula, I SC is the solar constant, which is 4.921MJ/m 2 ; E 0 is the eccentricity correction factor of the earth's orbit.
累年日平均晴空指数,第y年日平均晴空指数,n:辐射观测数据记录年限。 Average daily clear sky index over the years, The daily average clear sky index in year y, n: the record year of radiation observation data.
以目标地区嫩江为例,该目标地区属于太阳辐射4区,该区域包含7个具有太阳辐射观测数据的标本地区,分别为漠河、爱辉、海拉尔、富裕、佳木斯、哈尔滨和延吉。使用以上公式依次计算7个标本地区的累年日平均晴空指数如表1所示,取其平均值作为该区域累年平均晴空指数。Taking the target area Nenjiang as an example, the target area belongs to the 4th solar radiation area, which contains 7 sample areas with solar radiation observation data, namely Mohe, Aihui, Hailar, Fuyu, Jiamusi, Harbin and Yanji. Using the above formula to calculate the annual average clear sky index of the seven sample regions in turn, as shown in Table 1, and take the average value as the annual average clear sky index of the region.
表1标本地区的累年日平均晴空指数Table 1 The daily average clear sky index of the sample area over the years
步骤3、根据所述目标地区所在太阳辐射分区的累年日平均晴空指数,选择日太阳总辐射量计算模型,具体包括:
若累年日平均晴空指数小于等于0.4,则日太阳总辐射量计算模型为其中G为日太阳总辐射量,单位为MJ/m2,G0为日天文总辐射量,单位为MJ/m2,Tmax为气象观测站点获得的日最高气温,单位为℃,Tmin为气象观测站点获得的日最低气温,单位为℃,S为气象观测站点获得的日照时数,单位为h,S0为气象观测站点获得的可照时数,单位为h;a、b以及c均为常数系数;If the daily average clear sky index over the years is less than or equal to 0.4, the calculation model of the daily total solar radiation is as follows: where G is the total daily solar radiation, the unit is MJ/m 2 , G 0 is the daily astronomical total radiation, the unit is MJ/m 2 , T max is the daily maximum temperature obtained by the meteorological observation station, the unit is °C, T min is the daily minimum temperature obtained by the meteorological observation station, the unit is °C, S is the sunshine hours obtained by the meteorological observation station, the unit is h, S 0 is the available sunshine hours obtained by the meteorological observation station, the unit is h; a, b and c are constant coefficients;
若累年日平均晴空指数大于0.4且小于等于0.55,则日太阳总辐射量计算模型为其中E为气象观测站点获得的平均气压,单位为hPa,d为常数系数;If the daily average clear sky index over the years is greater than 0.4 and less than or equal to 0.55, the calculation model of daily total solar radiation is Among them, E is the mean air pressure obtained by the meteorological observation station, the unit is hPa, and d is the constant coefficient;
若累年日平均晴空指数大于0.55,则日太阳总辐射量计算模型为 If the daily average clear sky index over the years is greater than 0.55, the calculation model of the daily total solar radiation is as follows:
可选地,获得所述步骤2中日总辐射计算模型的常数系数,具体包括:Optionally, obtaining the constant coefficients of the daily total radiation calculation model in the
在目标地区所在太阳辐射分区包括的所有地区中,选择至少一个标本地区,所述的标本地区为同时具有气象观测站点以及辐射观测站点的地区;From all the regions included in the solar radiation zone where the target region is located, at least one sample region is selected, and the sample region is a region that has both a meteorological observation site and a radiation observation site;
获得每一个标本地区中的气象观测数据以及辐射观测数据,获得标本数据,其中所述的气象观测数据包括可照时数S0以及气象观测站点获得的日照时数S,还包括气象观测站点获得的日最高气温Tmax和气象观测站点获得的日最低气温Tmin和/或气象观测站点获得的平均气压E,所述的辐射观测数据包括标本地区的日太阳总辐射量G;Obtain the meteorological observation data and radiation observation data in each sample area, and obtain the sample data, wherein the meteorological observation data includes the number of hours of sunshine S 0 and the number of sunshine hours S obtained by the meteorological observation station, and also includes the number of hours of sunshine obtained by the meteorological observation station. The daily maximum temperature T max and the daily minimum temperature T min obtained by the meteorological observation station and/or the average air pressure E obtained by the meteorological observation station, the radiation observation data includes the daily total solar radiation G in the sample area;
利用所述的标本数据对选择的日总辐射计算模型进行回归,获得所述的日总辐射计算模型的常数系数。The selected calculation model of total daily radiation is regressed by using the sample data, and the constant coefficient of the calculation model of total daily radiation is obtained.
在本实施例中,以每一个太阳辐射分区为例,利用区域中同时具有气象和太阳辐射观测数据的台站2000~2013年的数据回归得到日总辐射计算模型的常数系数,见表2。In this embodiment, taking each solar radiation subarea as an example, the constant coefficients of the daily total radiation calculation model are obtained by regression using the data of the stations with both meteorological and solar radiation observation data in the region from 2000 to 2013, as shown in Table 2.
表2太阳辐射区域模型Table 2 The model of solar radiation area
表中日总辐射量G(MJ/m2);日天文总辐射量G0(MJ/m2);日照时数S(h);可照时数S0(h);平均气压E(0.1hPa);日最低、最高气温Tmin,Tmax(0.1℃);δ:赤纬角(deg),纬度(deg)。In the table, the daily total radiation G (MJ/m 2 ); the daily astronomical total radiation G 0 (MJ/m 2 ); the sunshine hours S (h); the available hours S 0 (h); the average air pressure E ( 0.1hPa); daily minimum and maximum temperature T min , T max (0.1°C); δ: declination angle (deg), Latitude (deg).
步骤4、根据所述的日总辐射计算模型,获得所述的目标地区的逐日太阳总辐射量。Step 4: Obtain the daily total solar radiation of the target area according to the daily total radiation calculation model.
使用本发明提供的计算模型获取目标地区的逐日太阳总辐射量,借助区域内气象台站的日照时数S(h);平均气压E(0.1hPa);日最低、最高气温Tmin,Tmax(0.1℃)观测数据即可生成无辐射观测站点地区2000~2013年逐日总辐射量。Use the calculation model provided by the present invention to obtain the daily total solar radiation of the target area, with the help of the sunshine hours S (h) of the meteorological stations in the area; the average air pressure E (0.1hPa); the daily minimum and maximum temperatures Tmin, Tmax (0.1°C ) observation data to generate the daily total radiation from 2000 to 2013 in the area without radiation observation stations.
在本实施例中,以丽江地区为例,该地区在2017年5月18日的日照时数S=4.5h,可照时数S0=13.4h,日天文总辐射量G0=40.04MJ/m2。该地区属于辐射VII区,故a=0.208,b=0.517,则即丽江地区在2017年5月18日的日总辐射量为15.57MJ/m2。In this embodiment, taking the Lijiang area as an example, the sunshine hours in this area on May 18, 2017 are S=4.5h, the number of hours that can be illuminated is S 0 =13.4h, and the total daily astronomical radiation G 0 =40.04MJ /m 2 . This area belongs to radiation VII area, so a=0.208, b=0.517, then That is, the daily total radiation in Lijiang area on May 18, 2017 was 15.57MJ/m 2 .
实施例二
为了证明本专利提供的方法可以用于无辐射观测站点地区日总辐射量的计算,分别从估算误差和全国日总辐射分布状况两个方面进行验证。In order to prove that the method provided by this patent can be used for the calculation of the daily total radiation in areas without radiation observation stations, verification is carried out from the two aspects of the estimation error and the distribution of the national daily total radiation.
在每个辐射区中挑选台站用于验证,每个区域中挑选验证台站重复三次,每一次所选择的验证台站分布在区域边缘的不同方位,验证台站具有辐射观测数据且不参与模型系数的回归,8个辐射区域,验证台站共计24个。分别计算区域模型与验证台站自建模型对于验证台站日总辐射的平均绝对误差百分率MAE%和均方根误差百分率RMSE%。区域模型MAE%的平均值为11.9%,RMSE%为15.9%,台站模型的相应结果分别为11.4%和15.3%。区域模型的估算误差略高于台站模型但相差不足1%。Select stations in each radiation area for verification. The selection of verification stations in each area is repeated three times. The selected verification stations are distributed in different directions at the edge of the area each time. The verification stations have radiation observation data and do not participate in The regression of the model coefficients, 8 radiation areas, and a total of 24 verification stations. Calculate the mean absolute error percentage MAE% and root mean square error percentage RMSE% of the regional model and the self-built model of the verification station for the daily total radiation of the verification station respectively. The mean value of the regional model MAE% was 11.9%, the RMSE% was 15.9%, and the corresponding results for the station model were 11.4% and 15.3%, respectively. The estimation error of the regional model is slightly higher than that of the station model by less than 1%.
使用本专利提供的方法计算我国无辐射观测数据的819个台站2000年~2013年逐日总辐射量,结果显示太阳辐射最高中心出现在西藏西南部的狮泉河及雅鲁藏布江一带,其年总辐射量平均在7500MJ/m2以上;次高区出现在青海柴达木盆地并向东北延伸,一直到达甘肃西北部、内蒙古西部及新疆东部的三省交界地带,年总辐射量平均可达6500MJ/m2以上;而后是塔里木盆地和吐鲁番盆地一带,年总辐射量平均在6000MJ/m2左右;新疆天山以北额尔齐斯河流域,为西部太阳辐射的低值区,年总辐射量平均为5000MJ/m2~5500MJ/m2。东部地区以华北年太阳总辐射量最高,东南、东北地区太阳辐射相对较低,四川盆地是我国太阳辐射低值区,年总辐射量平均在4000MJ/m2以下。将以上结果与建筑气候区划标准(GB50178-93)中年太阳总辐射照度分布图进行对比,发现总辐射的分布规律及变化趋势与标准完全一致,因所使用的数据年限不同,所以数值与标准略有差异,综上所述,本专利提供的基于太阳辐射分区的水平面日总辐射数据获取方法在我国完全适用。Using the method provided by this patent to calculate the daily total radiation of 819 stations without radiation observation data in China from 2000 to 2013, the results show that the highest center of solar radiation occurs in the Shiquan River and the Yarlung Zangbo River in southwestern Tibet, and its annual total radiation The average radiation amount is above 7500MJ/m 2 ; the second highest area appears in the Qaidam Basin in Qinghai and extends to the northeast, reaching the junction of the three provinces of northwestern Gansu, western Inner Mongolia and eastern Xinjiang, with an average annual total radiation amount of up to 6500 MJ/m 2 or more; followed by the Tarim Basin and Turpan Basin, with an average annual total radiation of about 6000 MJ/m 2 ; the Irtysh River Basin, north of the Tianshan Mountains in Xinjiang, is the low-value area of western solar radiation, with an average annual total radiation of 6000 MJ/m2. 5000MJ/m 2 to 5500MJ/m 2 . The eastern region has the highest annual total solar radiation in North China, while the southeastern and northeastern regions have relatively low solar radiation. The Sichuan Basin is the region with low solar radiation in China, with an average annual total radiation below 4000 MJ/m 2 . Comparing the above results with the mid-year solar total irradiance distribution map of the Building Climate Zoning Standard (GB50178-93), it is found that the distribution law and changing trend of total radiation are completely consistent with the standard. There are slight differences. To sum up, the method for obtaining the total daily radiation data on the horizontal plane based on the solar radiation partition provided by this patent is fully applicable in my country.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111967655A (en) * | 2020-07-28 | 2020-11-20 | 中国南方电网有限责任公司 | Short-term load prediction method and system |
CN115097492A (en) * | 2022-08-10 | 2022-09-23 | 湖南北云科技有限公司 | Ionospheric error elimination method and related equipment |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109034626A (en) * | 2018-07-30 | 2018-12-18 | 西安建筑科技大学 | A kind of evaluation method that west area heating in solar energy building utilizes |
JP6552077B1 (en) * | 2019-01-18 | 2019-07-31 | 株式会社ヒデ・ハウジング | Solar radiation normalization statistical analysis system, solar radiation normalization statistical analysis method and solar radiation normalization statistical analysis program |
-
2019
- 2019-09-29 CN CN201910930612.3A patent/CN110766291B/en not_active Expired - Fee Related
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109034626A (en) * | 2018-07-30 | 2018-12-18 | 西安建筑科技大学 | A kind of evaluation method that west area heating in solar energy building utilizes |
JP6552077B1 (en) * | 2019-01-18 | 2019-07-31 | 株式会社ヒデ・ハウジング | Solar radiation normalization statistical analysis system, solar radiation normalization statistical analysis method and solar radiation normalization statistical analysis program |
Non-Patent Citations (3)
Title |
---|
于瑛等: "太阳辐射两级区化方法及其应用", 《土木建筑与环境工程》 * |
刘大龙等: "以晴空指数为主要依据的太阳辐射分区", 《建筑科学》 * |
艾士博等: "不同气候区建筑获得太阳辐射的动态分布特征", 《建筑节能》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111967655A (en) * | 2020-07-28 | 2020-11-20 | 中国南方电网有限责任公司 | Short-term load prediction method and system |
CN115097492A (en) * | 2022-08-10 | 2022-09-23 | 湖南北云科技有限公司 | Ionospheric error elimination method and related equipment |
CN115097492B (en) * | 2022-08-10 | 2024-12-17 | 湖南北云科技有限公司 | Ionosphere error elimination method and related equipment |
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