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首页> 外文期刊>International journal of green energy >MICRO-SCALE WIND RESOURCE ASSESSMENT FOR OFF-GRID ELECTRIFICATION PROJECTS IN RURAL COMMUNITIES. A CASE STUDY IN PERU
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MICRO-SCALE WIND RESOURCE ASSESSMENT FOR OFF-GRID ELECTRIFICATION PROJECTS IN RURAL COMMUNITIES. A CASE STUDY IN PERU

机译：农村社区电网离网项目的微尺度风资源评估。秘鲁的个案研究

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摘要

The proper identification of locally available renewable energy resources are key issues in the project design of off-grid rural electrification systems to improve effectiveness and long-term sustainability. In recent decades, a number of computer tools have been created to improve micro-scale wind resource assessment and their use is a de-facto standard, for instance, in wind farm design. However, these tools are not used in off-grid rural electrification projects in remote areas in developing countries because some characteristics of the projects are out of models' operational limits (limited and inaccurate information available and steep terrains) and their applicability and performance in those contexts has not been studied. The aim of this study is to evaluate and optimize the performance of a micro-scale model for its application for resource estimation in rural electrification projects, considering their specific characteristics. The analyses are based on data collected in two communities in the Andean mountains of Peru. Sensitivity analyses are carried out to evaluate the influence of the main input data on assessment accuracy. Although limitations and constraints of these projects, the results show that the model performance is good and the resulting resource map is accurate in the typical area of a community project. Thus, analyzed micro-scale model and procedure prove to be suitable for wind resource studies at the community scale; its use in the design of the electrification project of Alto Peru (Peru) is given as an example.
机译：正确识别本地可用的可再生能源是离网农村电气化系统项目设计中的关键问题，以提高有效性和长期可持续性。近几十年来，已经创建了许多计算机工具来改善微型风资源评估，并且它们的使用是事实上的标准，例如在风电场设计中。但是，这些工具并未用于发展中国家偏远地区的离网农村电气化项目中，因为这些项目的某些特征超出了模型的操作范围（可用的信息有限且不准确，地形险峻）及其在这些模型中的适用性和性能上下文尚未研究。这项研究的目的是评估和优化微型模型的性能，以考虑其特定特征，将其应用于农村电气化项目的资源估算。这些分析是基于在秘鲁安第斯山区的两个社区收集的数据。进行敏感性分析以评估主要输入数据对评估准确性的影响。尽管这些项目有局限性和局限性，但结果表明，该模型的性能良好，并且在社区项目的典型区域中生成的资源图准确。因此，分析的微观模型和程序被证明适合于社区规模的风资源研究。以其在秘鲁上奥（Alu Peru）的电气化项目设计中的使用为例。

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  • 来源
    《International journal of green energy》 |2014年第5期|75-90|共16页
  • 作者

    Matteo Ranaboldo; Laia Ferrer-Marti; Enrique Velo;

  • 作者单位

    Research Group on Cooperation and Human Development (GRECDH), Universitat Politecnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain Department of Mechanical Engineering, Universitat Politecnica de Catalunya-Barcelona Tech (UPC), Avinguda Diagonal 647, Barcelona 08028, Spain;

    Research Group on Cooperation and Human Development (GRECDH), Universitat Politecnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain Department of Mechanical Engineering, Universitat Politecnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain;

    Research Group on Cooperation and Human Development (GRECDH), Universitat Politecnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Rural electrification; Wind resource assessment; Micro-scale models; Off-grid generation; Developing countries;

    机译：农村电气化;风资源评估;微型模型;离网发电;发展中国家;

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