Wind capacity factor calculator

IF 0.6 4区 工程技术 Q4 ENERGY & FUELS
H. Kekana, G. Landwehr
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引用次数: 1

Abstract

The wind capacity factor calculator is developed to perform two main tasks: to estimate the annual energy production from the wind resource at any location in South Africa, and to compare the two datasets used in its operation with standard error analysis to determine whether both datasets are suitable for use. This paper focuses on how the software was developed and on error analysis between the CSIR PV/ wind aggregation study data and the latest Wind Atlas for South Africa data. The results will indicate the way forward after determining whether the error found between the two datasets is significant enough to replace the former with latter, going forward.
风量因子计算器
开发风力容量因子计算器是为了执行两个主要任务:估计南非任何地点的风力资源的年发电量,并通过标准误差分析比较其运行中使用的两个数据集,以确定这两个数据集是否适合使用。本文重点介绍了该软件的开发过程,以及CSIR PV/ wind aggregation研究数据与最新南非wind Atlas数据之间的误差分析。在确定两个数据集之间发现的误差是否显著到足以用后者取代前者之后,结果将指示前进的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
16
审稿时长
6 months
期刊介绍: The journal has a regional focus on southern Africa. Manuscripts that are accepted for consideration to publish in the journal must address energy issues in southern Africa or have a clear component relevant to southern Africa, including research that was set-up or designed in the region. The southern African region is considered to be constituted by the following fifteen (15) countries: Angola, Botswana, Democratic Republic of Congo, Lesotho, Malawi, Madagascar, Mauritius, Mozambique, Namibia, Seychelles, South Africa, Swaziland, Tanzania, Zambia and Zimbabwe. Within this broad field of energy research, topics of particular interest include energy efficiency, modelling, renewable energy, poverty, sustainable development, climate change mitigation, energy security, energy policy, energy governance, markets, technology and innovation.
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