Statistical modelling of the joint probability density function of air density and wind speed for wind resource assessment: A case study from China

威布尔分布 风速 概率密度函数 连接词(语言学) 联合概率分布 耿贝尔分布 空气密度 概率分布 边际分布 气象学 风力发电 二元分析 环境科学 统计 数学 随机变量 工程类 计量经济学 极值理论 地理 电气工程
作者
Yushi Liang,Chunbing Wu,Mulan Zhang,Xiaodong Ji,Yixian Shen,Jianjun He,Zeyu Zhang
出处
期刊:Energy Conversion and Management [Elsevier BV]
卷期号:268: 116054-116054 被引量:15
标识
DOI:10.1016/j.enconman.2022.116054
摘要

This paper proposes a joint probability density function of air density and wind speed, aiming to integrate the air density distribution into statistical wind resource models, thereby helping better understand the correlation between air density and wind speed at different spatiotemporal scales. Hourly air pressure, temperature, and wind speed time series data from 1745 meteorological stations distributed over China for the period 2008–2019 were used to calculate the empirical distributions of air density and wind speed. Four one-component probability density functions and ten two-component mixture probability density functions were fitted to the empirical distributions. It is indicated that the five-parameter Weibull–Gamma distribution is able to achieves more accurate and stable effects in both unimodal and bimodal air density empirical distribution, and the six-parameter Weibull–Burr distribution is the most appropriate distribution for describing wind speed regimes. The parameterised air density and wind speed marginal distributions were linked using five joint copulas. The goodness-of-fit evaluation of the copula models demonstrates that the Gumbel copula most accurately reproduces the bivariate empirical distribution of air density and wind speed. The application of joint distribution has the capability to simplify the evaluation procedures for wind resource assessment while significantly increasing the accuracy of the evaluation results, and also achieve a systematic assessment of available wind resources, considering the temporal patterns of air density. The results of this study will contribute to offering critical information for making better decisions on wind energy projects to realise full development and effective utilisation of wind resources.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
郭小宝发布了新的文献求助10
1秒前
情怀应助幸福大白采纳,获得10
1秒前
齐天大圣应助幸福大白采纳,获得30
2秒前
孙燕应助幸福大白采纳,获得30
2秒前
英姑应助幸福大白采纳,获得30
2秒前
2秒前
Hashub完成签到,获得积分20
2秒前
4秒前
xueyu发布了新的文献求助10
6秒前
wonder123发布了新的文献求助10
7秒前
科研通AI2S应助张雯思采纳,获得10
8秒前
8秒前
小二郎应助张雯思采纳,获得10
8秒前
情怀应助张雯思采纳,获得10
8秒前
8秒前
科研通AI2S应助张雯思采纳,获得10
8秒前
今后应助张雯思采纳,获得10
8秒前
在水一方应助张雯思采纳,获得10
8秒前
Jasper应助张雯思采纳,获得10
8秒前
41应助张雯思采纳,获得10
8秒前
8秒前
新xin完成签到,获得积分10
9秒前
儒雅南风发布了新的文献求助10
9秒前
xxddw发布了新的文献求助10
9秒前
33发布了新的文献求助30
9秒前
10秒前
10秒前
Rondab应助科研小白采纳,获得10
11秒前
12秒前
wonder123完成签到,获得积分10
12秒前
量子星尘发布了新的文献求助10
14秒前
幸福的乾发布了新的文献求助10
14秒前
xyj6486发布了新的文献求助10
14秒前
15秒前
小晓发布了新的文献求助10
17秒前
Owen应助伏坎采纳,获得10
20秒前
健壮雨兰完成签到,获得积分10
20秒前
LWQ完成签到,获得积分10
21秒前
wanci应助无名采纳,获得10
21秒前
可爱的函函应助海藻采纳,获得10
22秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989444
求助须知:如何正确求助?哪些是违规求助? 3531531
关于积分的说明 11254250
捐赠科研通 3270191
什么是DOI,文献DOI怎么找? 1804901
邀请新用户注册赠送积分活动 882105
科研通“疑难数据库(出版商)”最低求助积分说明 809174