Projected changes in wind speed and wind energy resources over the Persian Gulf based on bias corrected CMIP6 models

Author:

Gohari Amirmahdi1,Akpınar Adem2

Affiliation:

1. University of Tehran

2. Bursa Uludağ University

Abstract

Abstract

This study investigates future wind speed and wind energy changes in the Persian Gulf using a multi-model ensemble mean (MMM) derived from 20 CMIP6 models under the SSP5-8.5 scenario. ERA5 reanalysis wind speed data for the historical period (1995–2015) is compared to projections for the near-future (2040–2059) and far-future (2080–2099). Quantile mapping based on Weibull distribution as a bias correction technique applied to the raw future data to obtain more reliable projections. Results show suitable wind conditions for power generation are expected to increase slightly, by 1.16% in the near future and 0.75% in the far future. However, average annual wind speed and wind power density are projected to decrease by up to 2% and 7% respectively. The winter season is consistently shown to have the highest average wind speed, projected to increase over 5–7% in the future. Spatial analysis identifies current and future wind energy hot spots, with a northward shift by the far future. Assessments of variability over time highlight potential future alterations. The future change analysis reveals irregular regional shifts, indicating decreases in wind strength nearshore in the northern Gulf, while the southern part may experience increases, suggesting a promising trend for wind energy potential there.

Publisher

Research Square Platform LLC

Reference76 articles.

1. The Maxima in Northerly Wind Speeds and Wave Heights over the Arabian Sea, the Arabian/Persian Gulf and the Red Sea Derived from 40 Years of ERA5 Data;Aboobacker VM;Clim Dyn,2021

2. Projected Changes in Wind Speed and Wind Energy Potential over West Africa in CMIP6 Models;Akinsanola A;Environ Res Lett,2021

3. Evaluation of Wind Energy Potentiality at Coastal Locations along the North Eastern Coasts of Turkey;Akpinar A;Energy,2013

4. WIND ENERGY MAP OF ARABIAN GULF;Al-Salem K;Nat Resour,2018

5. Alinejhad T, Zaker NH, Kamranzad B (2017) Investigation of Wind Speed Projections in the Persian Gulf Using Different Resources of CMIP5 Data

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3