报告详情
Assessing the U.S.’s 100 Longest-Running PV Systems
编号：65
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更新：2026-11-10 16:35:23 浏览：9次
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报告开始：2026年11月21日 13:45（Asia/Kolkata）
报告时间：15min
所在会场：[S9] Smart Systems, Robotics and Intelligent Infrastructure/6G and Future Wireless Communication Systems [S9-2] Smart Systems, Robotics and Intelligent Infrastructure/6G and Future Wireless Communication Systems
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摘要
This paper examines the annual generation of the 100 longest-operating U.S. PV systems. These systems were installed between 2003 and 2011, with an average age of 14.5 years. At the midpoint of their expected 30‑year lifetimes, cumulative production has been 13% below expected. Along with generation, results of three other measures of performance are presented: system‑level degradation, downside uncertainty, and inter‑annual variability. As with the generation, the fleet performance in each of these categories has also been significantly poorer than expected.
As a secondary objective, a smaller set of 25 newer systems, each installed in 2018, with an average age of 6.2 years, was also analyzed. This set was added in order to see whether the newer generation of systems had exhibited improvements relative to the older fleet. In short, it has not, as the output from the newer sample has been about 5% poorer relative to the older set at the same age.
As a secondary objective, a smaller set of 25 newer systems, each installed in 2018, with an average age of 6.2 years, was also analyzed. This set was added in order to see whether the newer generation of systems had exhibited improvements relative to the older fleet. In short, it has not, as the output from the newer sample has been about 5% poorer relative to the older set at the same age.
关键词
Photovoltaic systems, PV performance, long-term PV generation, solar energy production, performance index, PV degradation, inter-annual variability, uncertainty analysis, EIA generation data, aging PV systems, U.S. solar fleet, lifetime performance, gener
报告人
Kajal Sheth
Independent Research New York Institute of Technology稿件作者
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重要日期
-
会议日期
11月20日
2026
至11月22日
2026
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10月31日 2026
初稿截稿日期
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11月07日 2026
提前注册日期
-
11月22日 2026
注册截止日期
主办单位
United Societies of Science
承办单位
Pondicherry University
协办单位
IEEE Section
IEEE Madras Section
IEEE Madras Section
联系方式
- ICon INDIA 2026
- ic******@usssociety.org
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