Statistical characteristics and complexity of stochastic wind speeds in near-surface flow fields. (1st August 2022)

• Record Type: Journal Article
• Authors: Xiao, Nan; Shi, Huanyu; Dong, Zhibao; Bao, Yuhai; Sa, Chula; Yin, Shan
• Is Part Of: Energy conversion and management. Volume 265(2022)
• Publication Date: 2022-08-01
• Subjects: Stochastic wind speeds -- Negative binomial probability distribution -- Composite distribution -- Evolution pattern -- Complexity science; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2022.115756
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: An evolution pattern of wind speed system was constructed, applicable worldwide. Conjugate prior and composite distribution are valid for extending distribution. Downscaling functions are distributions of shape parameter and emergences of system. Static PDFs describe deterministic characteristics of stochastic wind speeds. Dynamic relationship among PDFs reflect evolution of system, embodying constructivism. Abstract: Statistical characteristics of meteorological elements play an important role in climate assessment. The statistical study of wind speeds in near-surface flow fields is mainly concerned by wind energy. Determinacy and stochasticity of wind speeds are important for wind power generation system. Probability density function (PDF) is the main approach to describe wind speed distribution. Here we show a theoretical evolution pattern of statistical characteristics of stochastic wind speed system was constructed. This is simple and applicable worldwide. Poisson, gamma (or Weibull), and negative binomial distribution corresponds to the timescale of 10 min, less than one year, and many years, respectively. Downscaling functions eliminating a parameter are the distributions of the shape parameter, and statistically are the emergence of each level of system. Variations of the scale parameter characterizing thermal convection are reflected in wind speed distributions through variations of the shape parameter representing forced convection. The emergence of Poisson, gamma, and negative binomial distribution is the result of spatial interaction, spatial interaction that varies with time, and space, time and inheritable instructions, separately. Stochasticity of wind speed system is intrinsic. Static PDFs describe the deterministic statistical characteristics of stochastic wind speeds, which emphasizes that determinacy contains stochasticity. Dynamic relationships among levels of system reflect the evolution of system, which embodies constructivism. From the view of the discontinuous statistical characteristics, stochastic wind speed system is catastrophic. These results provide a new path for cross-level research of complexity science.