Climate Change Characteristics of Coastal Wind Energy Resources in Zhejiang Province Based on ERA-Interim Data

The reanalysis of sea surface wind speed is compared with the measured wind speed of five offshore wind towers in Zhejiang, China. The applicability of reanalysis data in the Zhejiang coastal sea surface and the climatic characteristics of sea surface wind power density is analyzed. Results show tha...

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Autores principales:	Nan Wang, Kai-Peng Zhou, Kuo Wang, Tao Feng, Yu-Hui Zhang, Chao-Hui Song
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	wind tower empirical orthogonal function wind power density linear trend zhejiang province Physics QC1-999
Acceso en línea:	https://doaj.org/article/5c1b2bd21e6c4313875cc0517156c579
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id	oai:doaj.org-article:5c1b2bd21e6c4313875cc0517156c579
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spelling	oai:doaj.org-article:5c1b2bd21e6c4313875cc0517156c5792021-12-02T09:45:00ZClimate Change Characteristics of Coastal Wind Energy Resources in Zhejiang Province Based on ERA-Interim Data2296-424X10.3389/fphy.2021.720533https://doaj.org/article/5c1b2bd21e6c4313875cc0517156c5792021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fphy.2021.720533/fullhttps://doaj.org/toc/2296-424XThe reanalysis of sea surface wind speed is compared with the measured wind speed of five offshore wind towers in Zhejiang, China. The applicability of reanalysis data in the Zhejiang coastal sea surface and the climatic characteristics of sea surface wind power density is analyzed. Results show that the reanalysis of wind field data at the height of 10 m can well capture the wind field characteristics of the actual sea surface wind field. The sea surface wind power density effective hours increases from west to east and north to south. Then Empirical orthogonal function (EOF) is used to analyze the sea surface wind power density anomaly field, and the first mode is a consistent pattern, the second mode is a North-South dipole pattern, the third mode is an East-West dipole pattern respectively. The stability of wind energy resources grows more stable with increasing distance from the coast, and the northern sea area which is far away from the coastal sea is more stable than that of the southern sea area. The yearly linear trend of sea surface wind power density is in an East-West dipole pattern respectively. The wind energy resources are more stable farther from the coast, and the wind energy resources in the northern sea are more stable than that of the southern sea. The yearly linear trend of sea surface wind power density is the East-West dipole type, the seasonal linear trend is a significant downward trend from West to East in spring, and on the contrary in summer, a non-significant trend in autumn and winter. The monthly change index shows that the linear trend near the entrance of Hangzhou Bay in Northern Zhejiang is of weak increase or decrease, which is good for wind energy development. When the wind power density is between 0 and 150 W·m−2, its frequency mainly shows the distribution trend of high in the West and low in the East, but the wind power density is between 150 and 600 W·m−2, its distribution is the opposite.Nan WangKai-Peng ZhouKuo WangTao FengYu-Hui ZhangChao-Hui SongChao-Hui SongFrontiers Media S.A.articlewind towerempirical orthogonal functionwind power densitylinear trendzhejiang provincePhysicsQC1-999ENFrontiers in Physics, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wind tower empirical orthogonal function wind power density linear trend zhejiang province Physics QC1-999
spellingShingle	wind tower empirical orthogonal function wind power density linear trend zhejiang province Physics QC1-999 Nan Wang Kai-Peng Zhou Kuo Wang Tao Feng Yu-Hui Zhang Chao-Hui Song Chao-Hui Song Climate Change Characteristics of Coastal Wind Energy Resources in Zhejiang Province Based on ERA-Interim Data
description	The reanalysis of sea surface wind speed is compared with the measured wind speed of five offshore wind towers in Zhejiang, China. The applicability of reanalysis data in the Zhejiang coastal sea surface and the climatic characteristics of sea surface wind power density is analyzed. Results show that the reanalysis of wind field data at the height of 10 m can well capture the wind field characteristics of the actual sea surface wind field. The sea surface wind power density effective hours increases from west to east and north to south. Then Empirical orthogonal function (EOF) is used to analyze the sea surface wind power density anomaly field, and the first mode is a consistent pattern, the second mode is a North-South dipole pattern, the third mode is an East-West dipole pattern respectively. The stability of wind energy resources grows more stable with increasing distance from the coast, and the northern sea area which is far away from the coastal sea is more stable than that of the southern sea area. The yearly linear trend of sea surface wind power density is in an East-West dipole pattern respectively. The wind energy resources are more stable farther from the coast, and the wind energy resources in the northern sea are more stable than that of the southern sea. The yearly linear trend of sea surface wind power density is the East-West dipole type, the seasonal linear trend is a significant downward trend from West to East in spring, and on the contrary in summer, a non-significant trend in autumn and winter. The monthly change index shows that the linear trend near the entrance of Hangzhou Bay in Northern Zhejiang is of weak increase or decrease, which is good for wind energy development. When the wind power density is between 0 and 150 W·m−2, its frequency mainly shows the distribution trend of high in the West and low in the East, but the wind power density is between 150 and 600 W·m−2, its distribution is the opposite.
format	article
author	Nan Wang Kai-Peng Zhou Kuo Wang Tao Feng Yu-Hui Zhang Chao-Hui Song Chao-Hui Song
author_facet	Nan Wang Kai-Peng Zhou Kuo Wang Tao Feng Yu-Hui Zhang Chao-Hui Song Chao-Hui Song
author_sort	Nan Wang
title	Climate Change Characteristics of Coastal Wind Energy Resources in Zhejiang Province Based on ERA-Interim Data
title_short	Climate Change Characteristics of Coastal Wind Energy Resources in Zhejiang Province Based on ERA-Interim Data
title_full	Climate Change Characteristics of Coastal Wind Energy Resources in Zhejiang Province Based on ERA-Interim Data
title_fullStr	Climate Change Characteristics of Coastal Wind Energy Resources in Zhejiang Province Based on ERA-Interim Data
title_full_unstemmed	Climate Change Characteristics of Coastal Wind Energy Resources in Zhejiang Province Based on ERA-Interim Data
title_sort	climate change characteristics of coastal wind energy resources in zhejiang province based on era-interim data
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/5c1b2bd21e6c4313875cc0517156c579
work_keys_str_mv	AT nanwang climatechangecharacteristicsofcoastalwindenergyresourcesinzhejiangprovincebasedonerainterimdata AT kaipengzhou climatechangecharacteristicsofcoastalwindenergyresourcesinzhejiangprovincebasedonerainterimdata AT kuowang climatechangecharacteristicsofcoastalwindenergyresourcesinzhejiangprovincebasedonerainterimdata AT taofeng climatechangecharacteristicsofcoastalwindenergyresourcesinzhejiangprovincebasedonerainterimdata AT yuhuizhang climatechangecharacteristicsofcoastalwindenergyresourcesinzhejiangprovincebasedonerainterimdata AT chaohuisong climatechangecharacteristicsofcoastalwindenergyresourcesinzhejiangprovincebasedonerainterimdata AT chaohuisong climatechangecharacteristicsofcoastalwindenergyresourcesinzhejiangprovincebasedonerainterimdata
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Climate Change Characteristics of Coastal Wind Energy Resources in Zhejiang Province Based on ERA-Interim Data

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