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Generating synthetic sequences of global horizontal irradiation

机译:生成全局水平辐射的合成序列

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摘要

When designing renewable energy systems it is common practice to use a short period of historical weather data or Typical Meteorological Year (TMY) data to evaluate the performance of a renewable energy system for a particular location. However, short periods of historical data or TMY data do not capture enough of the variation required to design a reliable renewable energy system. Longer data sequences are necessary to include a greater variety of sequences; synthetic sequences are useful because they can include sequences that have not occurred in the recorded data but are nonetheless as likely to occur as the observed data.
机译:在设计可再生能源系统时,通常的做法是使用短期历史天气数据或典型气象年(TMY)数据来评估特定位置的可再生能源系统的性能。但是,短期历史数据或TMY数据不足以捕获设计可靠的可再生能源系统所需的足够变化。需要更长的数据序列才能包含更多种类的序列;合成序列很有用,因为它们可以包括未在记录数据中出现但仍可能像观察到的数据一样出现的序列。

著录项

  • 来源
    《Solar Energy》 |2018年第3期|500-509|共10页
  • 作者单位

    Univ South Australia, Mawson Lakes Blvd, Mawson Lakes, SA 5095, Australia;

    Univ South Australia, Mawson Lakes Blvd, Mawson Lakes, SA 5095, Australia;

    Univ South Australia, Mawson Lakes Blvd, Mawson Lakes, SA 5095, Australia;

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

    Global horizontal irradiation; Solar; Synthetic sequences; Bootstrapping; Renewable energy;

    机译:全局水平辐射;太阳能;合成序列;自举;可再生能源;
  • 入库时间 2022-08-18 00:22:48

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