Mitigating the Influence of Crossover Phenomena on Wind Resources Scaling Analysis Based on Season Division

2018 1st International Conference on Environment Prevention and Pollution Control Technology

生态环境科学

Li, Weinan^1 ; Wang, Xianxun^1 ; Chen, Lihua^2 ; Dong, Qianjin^1 ; Mei, Yadong^1 ; Wang, Hao^1,3

State Key Laboratory of Water Resource and Hydropower Engineering Science, Wuhan University, Wuhan

430072, China^1

College of Civil Engineering and Architecture, Guangxi University, Nanning

530004, China^2

China Institute of Water Resources and Hydropower Research, Beijing

100038, China^3

关键词: Chronological order;    Cross-over phenomena;    Gregorian calendar;    Natural factors;    Scaling analysis;    Time-scaling;    Wind resources;    Wind speed time series;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/199/5/052026/pdf
DOI  :  10.1088/1755-1315/199/5/052026

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

As a natural signal, the wind is affected by many other natural factors and shows features of seasonal alternation. Considering the crossover phenomena (CP) of wind speed time series (WSTS) occurs at seasonal time scaling and WSTS shows different features among seasons, the seasonal scaling analysis of WSTS is carried out in this study. The original WSTS (also called chronological order WSTS) is firstly divided into several seasonal WSTS and then the scaling analysis is done based on the seasonal WSTS. A multi-index method is proposed to divide original WSTS into seasonal WSTS by including parameters such as temperature, wind speed. Besides the proposed method, the solar terms method and the gregorian calendar method are also used to obtain the seasonal WSTS. The results of a case study in southwestern China show that the CP is mitigated by dividing the chronological order WSTS into several seasonal WSTS, and this mitigation is more obvious when the seasonal WSTS is obtained by the multi-index method proposed in this paper. This study does not only illustrate the effect of season division but also denote the existence of different scaling features among seasons.