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Novel wind resource assessment and demand flexibility analysis for community resilience: A remote microgrid case study

机译:社区弹性的新型风力资源评估和需求灵活性分析:远程微电网案例研究

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摘要

With the increasing effects of climate change and high costs of energy, many rural Alaska communities are working to implement local alternative energy solutions to improve energy security. Integrating renewable energy systems can reduce reliance on fossil fuels and subsequently improve food, energy, and water (FEW) security. In this study, wind energy modeling techniques using local airport meteorological data were convolved with community loads to determine the most cost-effective combinations of wind turbine technology and dispatchable loads for improving FEW security in a southwestern Alaska village. This approach is different from wind assessments that exclusively analyze wind resources. A 100 kW wind turbine was determined to be suitable for the community, resulting in a capacity factor of 16.7% and levelized cost of energy (LCOE) of $1.15/kWh, with diminishing returns for higher wind turbine capacity. The results from the dispatchability study indicated that dispatchable loads could handle the intermittency of the wind resource with up to 86% of their annual load met. More work is needed to understand the impact of integrating and scheduling dispatchable loads into the grid in practice. (c) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
机译:随着气候变化的影响越来越高,能源成本高,许多农村的阿拉斯加社区正在努力实施当地的替代能源解决方案,以提高能源安全。整合可再生能源系统可以减少对化石燃料的依赖,随后改善食品,能源和水(少数)的安全性。在这项研究中,使用当地机场气象数据的风能建模技术与社区负载卷积,以确定风力涡轮机技术的最具成本效益的组合,可调度负载,以改善阿拉斯加州西南部村的少数安全。这种方法与风化评估不同,完全分析风力资源。确定了100千瓦风力涡轮机适合于社区,导致容量系数为1.15 /千瓦时的1.15 /千瓦时的能量(LCOE)的能力因数和稳定性的能量成本(LCOE),回报率越来越越来越较高。调度性研究的结果表明,可调度负载可以处理风力资源的间歇性,其中高达86%的年负荷满足。需要更多的工作来了解在实践中将分配负载集成和调度调度负载集成和调度调度负载的影响。 (c)2021作者。由elsevier有限公司发布这是CC下的开放式访问文章(http://creativecommons.org/licenses/by/4.0/)。

著录项

  • 来源
    《Renewable energy》 |2021年第12期|1472-1486|共15页
  • 作者单位

    Univ Alaska Fairbanks Alaska Ctr Energy & Power POB 755910 Fairbanks AK 99775 USA;

    Stanford Univ Dept Civil & Environm Engn Stanford CA 94305 USA;

    Univ Alaska Fairbanks Alaska Ctr Energy & Power POB 755910 Fairbanks AK 99775 USA;

    Univ Alaska Fairbanks Coll Engn & Mines Elect & Comp Engn Dept POB 755915 Fairbanks AK 99775 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wind assessment; Microgrid; Arctic region; Dispatchable loads; Food-energy-water systems;

    机译:风评估;微电网;北极地区;可调度载荷;食品 - 能源水系统;

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