Solar resource assessment through long-term statistical analysis and typical data generation with different time resolutions using GHI measurements

Abreu Edgar P. M.; Canhoto Paulo; Prior Victor; Melicio R.

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Solar resource assessment through long-term statistical analysis and typical data generation with different time resolutions using GHI measurements

机译：通过长期统计分析和使用GHI测量以不同时间分辨率生成典型数据来评估太阳能

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摘要

This work addresses the solar resource assessment through long-term statistical analysis and typical weather data generation with different time resolutions, using measurements of Global Horizontal Irradiation (GHI) and other relevant meteorological variables from eight ground-based weather stations covering the south and north coasts and the central mountains of Madeira Island, Portugal. Typical data are generated based on the selection and concatenation of hourly data considering three different time periods (month, five-day and typical days) through a modified Sandia method. This analysis was carried out by computing the Root Mean Square Difference (RMSD) and the Normalized RMSD (NRMSD) for each time slot of the typical years taking the long-term average as reference. It was found that the datasets generated with typical days present a lower value of overall NRMSD. A comparison between the hourly values of the generated typical data and the long-term averages was also carried out using various statistical indicators. To simplify this analysis, those statistical indicators were combined into a single Global Performance Index (GPI). It was found that datasets based on typical days have the highest value of GPI, followed by the datasets based on typical five-day periods and then those based on typical months. (C) 2018 Elsevier Ltd. All rights reserved.

机译：这项工作通过对全球水平辐射（GHI）以及覆盖南海岸和北海岸的八个地面气象站的其他相关气象变量的测量，通过长期统计分析和生成具有不同时间分辨率的典型天气数据来解决太阳能资源评估的问题。和葡萄牙马德拉岛的中央山脉。通过修改的Sandia方法，在考虑三个不同时间段（月，五天和典型天）的小时数据的选择和连接的基础上，生成典型数据。通过计算长期平均值作为参考，计算典型年份每个时隙的均方根差（RMSD）和归一化RMSD（NRMSD）进行此分析。结果发现，典型天数生成的数据集呈现较低的总体NRMSD值。还使用各种统计指标对生成的典型数据的小时值与长期平均值之间的比较。为了简化此分析，将这些统计指标合并为一个全球绩效指数（GPI）。结果发现，基于典型日的数据集具有最高的GPI值，其次是基于典型5天时间段的数据集，然后是基于典型月份的数据集。（C）2018 Elsevier Ltd.保留所有权利。

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来源
《Renewable energy》 |2018年第11期|398-411|共14页
作者
Abreu Edgar P. M.; Canhoto Paulo; Prior Victor; Melicio R.;
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作者单位

Univ Evora, Inst Ciencias Terra, R Ramao Ramalho 59, P-7000671 Evora, Portugal;

Univ Evora, Inst Ciencias Terra, R Ramao Ramalho 59, P-7000671 Evora, Portugal;

IPMA, Observ Meteorol Funchal, R Lazareto 37-39, P-9060019 Funchal, Portugal;

Univ Evora, Inst Ciencias Terra, R Ramao Ramalho 59, P-7000671 Evora, Portugal;

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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
Solar resource assessment; Global horizontal irradiation; Typical meteorological year; Madeira island;

机译：太阳资源评估;全球水平辐照;典型气象年;马德拉岛;

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Solar resource assessment through long-term statistical analysis and typical data generation with different time resolutions using GHI measurements

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