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Development of expanded AMeDAS weather data for building environment evaluation

开发用于建筑环境评估的扩展 AMeDAS 天气数据

基本信息

批准号：
10450215
负责人：
AKASAKA Hiroshi
金额：
$ 7.62万
依托单位：
Kagoshima University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 1999
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10450215/
关键词：
Building environment Weather data AMeDAS Standard weather data Tilted surface radiation Subterranean temperature Quality control 日射直散分離法日射合成法

项目摘要

The weather data for building energy calculation, which are designated as Expanded AMeDAS Weather Data (EA Weather Data), have been developed. EA Weather Data include hourly eight climatic elements for 15 years (1981-1995) at 842 stations throughout Japan. The eight climatic elements are atmospheric temperature, humidity ratio, horizontal global irradiation, atmospheric irradiation, wind direction, wind speed, precipitation, and sunshine duration. The purpose of this research is that it improves quality and value added of EA Weather Data further.1. AQC and reconfirmation for improving data qualityJapan Meteorological Agency (JMA) has an automated quality control (AQC) procedure to detect abnormal data caused by measuring instruments failure or data transmission error. The AQC procedure by JMA has been applied EA Weather Data. Abnormal values detected by the AQC have been corrected in normal data. Quality improvement for EA Weather Data is checked by the AQC repeatedly.2. Preparation of standard EA weather dataA demand for typical annual hourly data at each station is anticipated to be high as well as that for long-term real weather data. Thus, the standard EA weather data has been prepared based on EA weather data for 15 years. The standard EA weather data is the annual weather data prepared by selecting a typical month for each month from among 15 years to combine them.3. Development of operation programsOperation programs have been developed. One of the programs is called EA DataNavi. Using EA DataNavi, users can invoke EA weather data for a single year at a required station from the CD-ROM of EA weather data for 15 years or that of the standard EA weather data to save it on their respective computers. Furthermore, they can calculate solar irradiation on tilted surfaces facing any direction at any inclination angle and subterranean temperature at a certain depth.

开发了用于建筑物能量计算的天气数据，其被指定为扩展的AMeDAS天气数据（EA天气数据）。EA天气数据包括15年（1981-1995）在日本全国842个站每小时8个气候要素。这八个气候要素是大气温度、湿度比、水平总辐射、大气辐射、风向、风速、降水量和日照时数。本研究的目的是进一步提高EA天气数据的质量和附加值.日本气象厅（JMA）有一个自动质量控制（AQC）程序，用于检测测量仪器故障或数据传输错误导致的异常数据。JMA的AQC程序已应用于EA天气资料。AQC检测到的异常值已在正常数据中得到纠正。由AQC反复检查EA天气数据的质量改进。标准EA天气数据的准备预计对每个站点典型的年度每小时数据以及长期真实的天气数据的需求很高。因此，标准的EA天气数据已经准备基于EA天气数据的15年。标准的EA天气数据是从15年中为每个月选择一个典型的月以将它们联合收割机组合而准备的年度天气数据。运行方案的制定运行方案已经制定。其中一个程序名为EA DataNavi。使用EA DataNavi，用户可以从EA 15年天气数据或标准EA天气数据的CD-ROM中调用所需站点的单年EA天气数据，并将其保存在各自的计算机上。此外，他们还可以计算面向任何方向、任何倾斜角度的倾斜表面上的太阳辐射以及一定深度的地下温度。