Impacts of urban morphology on improving urban wind energy potential for generic high-rise building arrays

城市形态 湍流动能 风力发电 湍流 屋顶 可再生能源 城市密度 城市结构 环境科学 城市规划 气象学 土木工程 地理 工程类 电气工程
作者
Yu-Hsuan Juan,Chih‐Yung Wen,Zhengtong Li,An‐Shik Yang
出处
期刊:Applied Energy [Elsevier]
卷期号:299: 117304-117304 被引量:39
标识
DOI:10.1016/j.apenergy.2021.117304
摘要

Previous findings have indicated better performance attained by modified urban morphologies for wind energy utilization only in single and pair buildings, or medium-dense low-rise building arrays. Hence, the main purpose of this study is to address the research gaps to complete a fundamental understanding of the influences of urban morphology in compact high-rise urban areas on enhancing urban wind energy harvest for sustainable urban development. A comprehensive parametric study is conducted using the computational fluid dynamics tool to analyze the impacts of urban morphologies on the wind energy potential for a 6 × 6 array of generic high-rise buildings, including (i) urban density altered from compact to sparse urban layouts, (ii) building corner shapes of sharp and rounded corners, (iii) urban layouts of in-line and staggered patterns, and (iv) wind directions of 0° and 45°. This investigation implements the three-dimensional steady Reynolds-averaged Navier-Stokes equations with the Reynolds stress model to explore the distributions of wind speed, power density, and turbulence intensity over the building array. The results indicate that decreasing urban plan area density reduces the unacceptable turbulence areas with relatively higher wind power density on the roof. Besides, round corners can produce elevated power densities up to 201% greater than sharp corners beside the building. Even under the oblique wind direction of 45°, the rounded corner still shows better wind energy potentials than the sharp corner. The in-line urban layout demonstrates more significant areas with higher power densities and low turbulence intensities than the staggered urban layout.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
刚刚
科研通AI6.1应助Tina采纳,获得20
1秒前
2秒前
2秒前
june发布了新的文献求助10
3秒前
11发布了新的文献求助10
3秒前
秦艽发布了新的文献求助20
3秒前
量子星尘发布了新的文献求助10
4秒前
GGBond发布了新的文献求助10
4秒前
深情安青应助fcc采纳,获得10
4秒前
5秒前
丘比特应助FB采纳,获得10
5秒前
王科完成签到,获得积分10
5秒前
CipherSage应助壮观手套采纳,获得10
5秒前
Owen应助张旭采纳,获得10
6秒前
6秒前
7秒前
科研通AI6.3应助完美的tuzi采纳,获得10
8秒前
Orange应助摇落月采纳,获得10
8秒前
万能图书馆应助june采纳,获得10
9秒前
妮妮发布了新的文献求助30
9秒前
9秒前
11秒前
11秒前
11秒前
11秒前
NexusExplorer应助科研通管家采纳,获得10
11秒前
11秒前
ding应助科研通管家采纳,获得10
11秒前
余笙关注了科研通微信公众号
12秒前
12秒前
12秒前
研友_VZG7GZ应助科研通管家采纳,获得10
12秒前
ValerieLI完成签到 ,获得积分10
12秒前
雪松完成签到 ,获得积分10
12秒前
Hello应助科研通管家采纳,获得10
12秒前
12秒前
lcj发布了新的文献求助10
12秒前
深情安青应助科研通管家采纳,获得10
12秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6047886
求助须知:如何正确求助?哪些是违规求助? 7828614
关于积分的说明 16257915
捐赠科研通 5193301
什么是DOI,文献DOI怎么找? 2778847
邀请新用户注册赠送积分活动 1762077
关于科研通互助平台的介绍 1644438