Evaluating the geographical, technical and economic potential of wind and solar power in China: A critical review at different scales

IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Sustainable Energy Technologies and Assessments Pub Date : 2024-10-28 DOI:10.1016/j.seta.2024.104037
{"title":"Evaluating the geographical, technical and economic potential of wind and solar power in China: A critical review at different scales","authors":"","doi":"10.1016/j.seta.2024.104037","DOIUrl":null,"url":null,"abstract":"<div><div>Accurately assessing the potential of wind and PV power is crucial in achieving the 2 °C climate target. Biased assessments will lead to flawed decisions by national governments and related industries, resulting in significant economic and social losses and energy waste. In this study, <em>meta</em>-analysis is used to identify and discuss the factors that affect the differences in existing wind power and PV potential evaluations at national and provincial scales in China. The present study delves into the geographical, technical, and economic potential, exploring the impact of the scenery complementary portfolio on future development trends. Results show that the primary factors affecting geographic potential are meteorological datasets and land use. Regarding technical potential, the hub height, turbine power rating, and rotor diameter appear as the key drivers of wind turbine power generation efficiency and effectiveness. As far as solar panel power generation is concerned, tilt angle and PV cell efficiency are the main influencing factors, with environmental factors having a more significant impact on PV technical potential than technical parameters. The study establishes a reference database for data use, providing a reliable reference basis for strategic planning decisions and improving the accuracy of future potential wind power/PV variability assessments.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":null,"pages":null},"PeriodicalIF":7.1000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138824004338","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Accurately assessing the potential of wind and PV power is crucial in achieving the 2 °C climate target. Biased assessments will lead to flawed decisions by national governments and related industries, resulting in significant economic and social losses and energy waste. In this study, meta-analysis is used to identify and discuss the factors that affect the differences in existing wind power and PV potential evaluations at national and provincial scales in China. The present study delves into the geographical, technical, and economic potential, exploring the impact of the scenery complementary portfolio on future development trends. Results show that the primary factors affecting geographic potential are meteorological datasets and land use. Regarding technical potential, the hub height, turbine power rating, and rotor diameter appear as the key drivers of wind turbine power generation efficiency and effectiveness. As far as solar panel power generation is concerned, tilt angle and PV cell efficiency are the main influencing factors, with environmental factors having a more significant impact on PV technical potential than technical parameters. The study establishes a reference database for data use, providing a reliable reference basis for strategic planning decisions and improving the accuracy of future potential wind power/PV variability assessments.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
评估中国风能和太阳能发电的地理、技术和经济潜力:不同尺度的关键审查
准确评估风能和光伏发电的潜力对于实现 2 °C 的气候目标至关重要。偏颇的评估将导致各国政府和相关行业做出错误的决策,造成重大的经济和社会损失以及能源浪费。本研究采用元分析法来识别和讨论影响中国国家和省级现有风电和光伏发电潜力评估差异的因素。本研究深入探讨了地理、技术和经济潜力,探讨了风光互补组合对未来发展趋势的影响。结果表明,影响地理潜力的主要因素是气象数据集和土地利用。在技术潜力方面,轮毂高度、涡轮机额定功率和转子直径似乎是风力涡轮机发电效率和效益的主要驱动因素。就太阳能电池板发电而言,倾斜角度和光伏电池效率是主要影响因素,环境因素对光伏技术潜力的影响比技术参数更为显著。该研究建立了数据使用参考数据库,为战略规划决策提供了可靠的参考依据,并提高了未来潜在风能/光伏变异性评估的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Sustainable Energy Technologies and Assessments
Sustainable Energy Technologies and Assessments Energy-Renewable Energy, Sustainability and the Environment
CiteScore
12.70
自引率
12.50%
发文量
1091
期刊介绍: Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.
期刊最新文献
A novel pipeline VIV-based synergetic hybrid renewable energy harvesting system for sustainable underwater WSN and IoT applications A review of organic Rankine cycles with partial evaporation and dual-phase expansion Hydrogen at home: The current and future landscape of green hydrogen in residential settings Green warehousing practices: Assessing the impact of PV self-consumption enhancement strategies in a logistics warehouse Hydrothermal pretreatment: A sustainable approach to biohydrogen production from palm oil mill effluent
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1