Revisiting the Decadal Variability of Solar Photovoltaic Resource Potential in the Monsoon Climate Zone of East Asia Using Innovative Trend Analysis

Q3 Environmental Science Journal of Resources and Ecology Pub Date : 2023-11-02 DOI:10.5814/j.issn.1674-764x.2023.06.009
Zhou Zhigao, He Lijie, Lin Aiwen, Wang Lunche
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Abstract

In this study, we applied an innovative trend analysis (ITA) technique to detect the annual and seasonal trends of solar photovoltaic resource potential (Rs) in East Asia during 1961–2010 based on the Global Energy Balance Archive (GEBA) data. The Mann-Kendall (M-K) trend test and linear regression method (LRM) were compared with the ITA technique. The results showed that the annual Rs in China presented a significant decreasing trend (D<–0.5 and P<0.01, where P is the P-value and D is the trend indicator of ITA) using these three techniques. The seasonal Rs generally showed a significant decreasing trend (D<–0.5) using the ITA technique in China, however, a slightly increasing trend was observed in Japan. The Rs values were further divided into four groups (“low”, “moderate”, “high” and “very high”) to detect the sub-trends using the ITA technique. The results indicated that the decreasing annual Rs in China was mainly due to reductions in the “high” and “very high” Rs values. The most probable causes of the trends in the variation in China were the decreasing sunshine duration and increasing anthropogenic aerosol loadings; while the trends in Japan were probably driven by the increasing sunshine and declining cloud optical thickness. Moreover, the similarities and differences between the M-K test and ITA technique results were compared and evaluated, and the ITA technique proved to be superior to the M-K test.
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基于创新趋势分析的东亚季风气候区太阳能光伏资源潜力年代际变化
本文基于全球能量平衡档案(GEBA)数据,应用创新趋势分析(ITA)技术对东亚地区1961-2010年太阳能光伏资源潜力(Rs)的年际和季节变化趋势进行了分析。将Mann-Kendall (M-K)趋势检验和线性回归方法(LRM)与ITA技术进行比较。结果表明:3种技术对中国年度Rs的影响呈显著下降趋势(D< -0.5和P<0.01,其中P为P值,D为ITA趋势指标)。利用ITA技术,中国的季节Rs总体呈显著下降趋势(D< -0.5),而日本的季节Rs略有上升趋势。将Rs值进一步分为“低”、“中”、“高”和“非常高”四组,利用ITA技术检测子趋势。结果表明,中国年r值的减少主要是由于“高”和“非常高”r值的减少。中国的变化趋势最可能的原因是日照时数的减少和人为气溶胶负荷的增加;而日本的趋势可能是由于日照增加和云光学厚度下降所致。此外,比较和评价了M-K测试结果与ITA技术结果的异同,ITA技术优于M-K测试。
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来源期刊
Journal of Resources and Ecology
Journal of Resources and Ecology Environmental Science-Ecology
CiteScore
2.40
自引率
0.00%
发文量
107
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