基于时间序列分析的2mw浮式太阳能光伏电站在湿润亚热带气候条件下的长期退化评估

IF 4.9 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Atul Avasthi, Rachana Garg, Priya Mahajan
{"title":"基于时间序列分析的2mw浮式太阳能光伏电站在湿润亚热带气候条件下的长期退化评估","authors":"Atul Avasthi,&nbsp;Rachana Garg,&nbsp;Priya Mahajan","doi":"10.1016/j.compeleceng.2025.110738","DOIUrl":null,"url":null,"abstract":"<div><div>This study evaluates the long-term performance and degradation of a 2 MW floating solar photovoltaic (FSPV) system operating in the humid subtropical climate of Northwest India. Analysis was based on 24 months of SCADA data, including irradiance, energy generation, ambient temperature, and key performance metrics such as reference yield (Y<sub>R</sub>), final yield (Y<sub>F</sub>), performance ratio (PR), capacity factor (CF), and system efficiency. The system recorded an average PR of 71.83% and CF of 18.62%, both showing a gradual decline over time. Four statistical methods are Linear Least Squares, Classical Seasonal Decomposition, Holt-Winters, and Seasonal-Trend decomposition using Loess (STL), were used to estimate degradation. Annual degradation rates ranged from 0.70% to 2.15%, with STL providing the most robust estimate of 0.70% ± 0.16%. The findings underscore the climatic resilience of FSPV systems and the importance of real-time monitoring with advanced statistical methods. This marks India’s first SCADA-based, long-term FSPV degradation study.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110738"},"PeriodicalIF":4.9000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long-term degradation assessment of a 2 MW floating solar photovoltaic plant in a humid subtropical climate using time-series analysis\",\"authors\":\"Atul Avasthi,&nbsp;Rachana Garg,&nbsp;Priya Mahajan\",\"doi\":\"10.1016/j.compeleceng.2025.110738\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study evaluates the long-term performance and degradation of a 2 MW floating solar photovoltaic (FSPV) system operating in the humid subtropical climate of Northwest India. Analysis was based on 24 months of SCADA data, including irradiance, energy generation, ambient temperature, and key performance metrics such as reference yield (Y<sub>R</sub>), final yield (Y<sub>F</sub>), performance ratio (PR), capacity factor (CF), and system efficiency. The system recorded an average PR of 71.83% and CF of 18.62%, both showing a gradual decline over time. Four statistical methods are Linear Least Squares, Classical Seasonal Decomposition, Holt-Winters, and Seasonal-Trend decomposition using Loess (STL), were used to estimate degradation. Annual degradation rates ranged from 0.70% to 2.15%, with STL providing the most robust estimate of 0.70% ± 0.16%. The findings underscore the climatic resilience of FSPV systems and the importance of real-time monitoring with advanced statistical methods. This marks India’s first SCADA-based, long-term FSPV degradation study.</div></div>\",\"PeriodicalId\":50630,\"journal\":{\"name\":\"Computers & Electrical Engineering\",\"volume\":\"128 \",\"pages\":\"Article 110738\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Electrical Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0045790625006810\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790625006810","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

摘要

本研究评估了在印度西北部潮湿的亚热带气候下运行的2mw浮动太阳能光伏(FSPV)系统的长期性能和退化。分析基于24个月的SCADA数据,包括辐照度、发电量、环境温度和关键性能指标,如参考产率(YR)、最终产率(YF)、性能比(PR)、容量因子(CF)和系统效率。该系统的平均PR为71.83%,CF为18.62%,均随时间逐渐下降。采用线性最小二乘、经典季节分解、冬至分解和黄土季节趋势分解4种统计方法对退化进行估计。年降解率范围为0.70% ~ 2.15%,其中STL提供了0.70%±0.16%的最稳健估计。研究结果强调了FSPV系统的气候适应能力,以及用先进的统计方法进行实时监测的重要性。这标志着印度首个基于scada的FSPV降解长期研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Long-term degradation assessment of a 2 MW floating solar photovoltaic plant in a humid subtropical climate using time-series analysis

Long-term degradation assessment of a 2 MW floating solar photovoltaic plant in a humid subtropical climate using time-series analysis
This study evaluates the long-term performance and degradation of a 2 MW floating solar photovoltaic (FSPV) system operating in the humid subtropical climate of Northwest India. Analysis was based on 24 months of SCADA data, including irradiance, energy generation, ambient temperature, and key performance metrics such as reference yield (YR), final yield (YF), performance ratio (PR), capacity factor (CF), and system efficiency. The system recorded an average PR of 71.83% and CF of 18.62%, both showing a gradual decline over time. Four statistical methods are Linear Least Squares, Classical Seasonal Decomposition, Holt-Winters, and Seasonal-Trend decomposition using Loess (STL), were used to estimate degradation. Annual degradation rates ranged from 0.70% to 2.15%, with STL providing the most robust estimate of 0.70% ± 0.16%. The findings underscore the climatic resilience of FSPV systems and the importance of real-time monitoring with advanced statistical methods. This marks India’s first SCADA-based, long-term FSPV degradation study.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信