审查大规模风能资源评估的准确性和可重复性

IF 13 Q1 ENERGY & FUELS Advances in Applied Energy Pub Date : 2023-12-07 DOI:10.1016/j.adapen.2023.100158
Tristan Pelser , Jann Michael Weinand , Patrick Kuckertz , Russell McKenna , Jochen Linssen , Detlef Stolten
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引用次数: 0

摘要

可再生能源资源的准确量化和评估已成为政策制定者和行业高度相关的研究课题。由于需要对风能资源评估中普遍存在的方法和实践进行当代回顾,我们对195篇描述大规模风能评估的文章进行了系统分析。我们的回顾显示,尽管非洲和拉丁美洲等地区有电气化需求,但全球和大陆范围内的潜力存在显著的异质性,研究的地理偏差也倾向于北半球。一小部分文献试图明确地包括风力发电发展的社会和政治障碍,从而定义“可行”的潜力。我们深入研究了这一领域的进展,专注于在评估过程中封装主题专家和利益相关者观点的创新方法。我们的分析强调了与数据共享和科学可重复性相关的紧迫挑战,我们的研究结果显示,只有10%的研究提供公开的数据供下载。这突出了风评估的可重复性普遍不足。此外,我们解决了有关风数据和气象特征的显著障碍,包括过度依赖单一来源的风数据和在充分表征时间风变率方面的缺陷。与此相关,我们发现了一种高度异质的方法来定位涡轮机并表征尾迹相关的损失。这些方法往往过于简单,通过假设过于乐观的容量密度,可能导致对风力潜力的高估。在这些领域中,我们讨论了现代风能资源评估的最新技术,提出了最佳实践,并指出了需要未来研究的关键领域。
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Reviewing accuracy & reproducibility of large-scale wind resource assessments

The accurate quantification and assessment of available renewable energy resources has emerged as a research topic with high relevance to policymakers and industry. Motivated by the need for a contemporary review on the methodologies and practices prevalent in wind resource assessments, we employ a systematic analysis of 195 articles that describe large-scale wind assessments. Our review reveals significant heterogeneity in global and continental-scale potentials and geographical bias of research towards the Northern Hemisphere, despite electrification needs in regions like Africa and Latin America. A fraction of the literature attempts to explicitly include social and political barriers to wind power development, thereby defining ‘feasible’ potentials. We delve into advancements in this domain, focusing on innovative methodologies that encapsulate the viewpoints of subject experts and stakeholders in the assessment process. Our analysis underscores pressing challenges relating to data sharing and scientific reproducibility, with our findings revealing a mere 10 % of studies that offer openly available data for download. This highlights a pervasive insufficiency in the reproducibility of wind assessments. Additionally, we tackle notable hurdles concerning wind data and meteorological characterization, including an over-reliance on single-source wind data and a deficit in adequately characterizing temporal wind variability. Relatedly, we uncover a highly heterogenous approach to turbine siting and characterizing wake-related losses. These methods are frequently simplistic, potentially leading to an overestimation of wind potentials by assuming an overly optimistic capacity density. In each of these domains, we discuss the state of the art for modern wind resource assessments, propose best practices, and pinpoint crucial areas warranting future research.

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来源期刊
Advances in Applied Energy
Advances in Applied Energy Energy-General Energy
CiteScore
23.90
自引率
0.00%
发文量
36
审稿时长
21 days
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