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库克群岛拉罗汤加岛太阳能模拟的改进型典型气象年。

An improved typical meteorological year for solar energy simulations in Rarotonga, Cook Islands.

作者信息

Anderson Timothy

机构信息

Department of Mechanical Engineering, Auckland University of Technology, Auckland, New Zealand.

出版信息

J R Soc N Z. 2022 Jan 13;52(5):606-613. doi: 10.1080/03036758.2021.2013262. eCollection 2022.

Abstract

Many of the Pacific's small island-nations have traditionally used diesel generators in the operation of their electricity grids. That said, more recently there has been a move towards greater use of renewable energy sources for electricity, in particular solar energy. A challenge to this, however, is ensuring that there is appropriate typical meteorological year data to facilitate an understanding of the output from these systems (especially at utility scale). Although there are numerous typical meteorological year datasets for the Pacific island-nations many of these are based on satellite inferred data. In this study, a typical meteorological year was developed for the island of Rarotonga, Cook Islands, using ground-based measurements. When compared to an existing typical meteorological year derived from satellite data, it was found that the satellite significantly overpredicted global horizontal irradiation for much of the year. This over-prediction was found to be due, at least in part, to the satellite data not resolving the effect of water in the atmosphere, (clouds and rainfall) on the solar irradiation correctly. On this basis, it demonstrates that although typical meteorological year derived from satellite data are a useful starting point for energy simulations in the Pacific island-nations, there is a need to improve these datasets to support their transition to renewable electricity generation.

摘要

太平洋地区的许多小岛屿国家传统上在其电网运营中使用柴油发电机。话虽如此,最近出现了更多使用可再生能源发电的趋势,特别是太阳能。然而,这方面的一个挑战是要确保有合适的典型气象年数据,以助于了解这些系统的发电量(特别是在公用事业规模上)。尽管有许多针对太平洋岛屿国家的典型气象年数据集,但其中许多是基于卫星推断数据。在本研究中,利用地面测量数据为库克群岛的拉罗汤加岛编制了一个典型气象年。与现有的源自卫星数据的典型气象年相比,发现卫星在一年中的大部分时间里显著高估了全球水平辐照度。发现这种高估至少部分是由于卫星数据未能正确解析大气中的水(云与降雨)对太阳辐照的影响。在此基础上,这表明尽管源自卫星数据的典型气象年是太平洋岛屿国家能源模拟的一个有用起点,但仍需改进这些数据集,以支持它们向可再生能源发电的转型。

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