GSTDTAP  > 气候变化
DOI10.1002/joc.5836
Filling missing meteorological data in heating and cooling seasons separately
Anjomshoaa, Ali; Salmanzadeh, Mazyar
2019-02-01
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2019
卷号39期号:2页码:701-710
文章类型Article
语种英语
国家Iran
英文摘要

Hourly weather data are needed for building energy calculations; however, many available data from previous years are 3-hr-based. Therefore, appropriate interpolation methods should be employed in order to fill the gaps of the data. In this paper, linear and cubic spline functions are used to interpolate the weather data of Kerman, Iran. Weather data have different behaviours in heating and cooling seasons. Therefore, this paper analyses the interpolation methods in heating and cooling seasons separately. In order to specify all the weather psychrometric characteristics, three independent parameters are required. First, temperature and pressure were taken as two of the parameters. Then, humidity ratio and relative humidity were tested and analysed as the third parameter. Furthermore, the methods of filling weather data gaps were examined in particular to their effects on calculating accurate energy consumption. The results showed that the best interpolation method for each variable depends on the criterion of accuracy. Each method gives the best accuracy for a specific case. However, for temperature and pressure data, cubic splines were more accurate than the linear ones in all cases. For other weather data, it is important to consider the purpose of filling the gaps. The appropriate criterion of accuracy is different according to whether the average or the extreme values of the data are required. For calculation of the energy consumption variables, one interpolation technique should be used for all weather elements; linear interpolation by using relative humidity as the third psychrometric variable yielded better results for this aim.


英文关键词cooling season heating season hourly weather data linear interpolation missing data spline functions temporal gaps
领域气候变化
收录类别SCI-E
WOS记录号WOS:000459665000008
WOS关键词ENERGY USE ; INTERPOLATION ; SERIES
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/36906
专题气候变化
作者单位Shahid Bahonar Univ Kerman, Dept Mech Engn, Kerman, Iran
推荐引用方式
GB/T 7714
Anjomshoaa, Ali,Salmanzadeh, Mazyar. Filling missing meteorological data in heating and cooling seasons separately[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(2):701-710.
APA Anjomshoaa, Ali,&Salmanzadeh, Mazyar.(2019).Filling missing meteorological data in heating and cooling seasons separately.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(2),701-710.
MLA Anjomshoaa, Ali,et al."Filling missing meteorological data in heating and cooling seasons separately".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.2(2019):701-710.
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