受印度当地气候影响的 6S 晴空辐照度评估

IF 2.3 3区 物理与天体物理 Q2 OPTICS
Syed Haider Abbas Rizvi , Bhramar Choudhary , Ravi Choudhary , Jitendra Kumar Meher , Nimisha Gupta , Jasvipul Chawla , Mayank Kumar , Vikram Singh
{"title":"受印度当地气候影响的 6S 晴空辐照度评估","authors":"Syed Haider Abbas Rizvi ,&nbsp;Bhramar Choudhary ,&nbsp;Ravi Choudhary ,&nbsp;Jitendra Kumar Meher ,&nbsp;Nimisha Gupta ,&nbsp;Jasvipul Chawla ,&nbsp;Mayank Kumar ,&nbsp;Vikram Singh","doi":"10.1016/j.jqsrt.2024.109166","DOIUrl":null,"url":null,"abstract":"<div><p>Accurate estimation of solar power generation is crucial for the effective planning and operation of solar energy sector. Solar potential can be estimated at a location from long-term historical irradiance data processed from atmospheric reanalysis datasets. The current study employs a clear-sky radiative transfer model (<em>6S)</em> to simulate the net surface irradiance at four distinct locations in India, comparing our model's output with mean monthly ground-based measurements of surface irradiance. Our findings reveal that the <em>6S</em> model marginally underestimates solar irradiance, with potential deviations varying depending on the accuracy of input data. This research evaluates the influence of particulate matter concentration and relative humidity on the scattering and absorption of solar radiation. We also state the variability in surface irradiance across the country with the rainfall trends that enhance assessment accuracy. The study reports an annual deviation of 10–15 % in surface irradiance across the country, where rural settlements show lower deviations in simulations. The radiative transfer calculations mentioned in the study are simplistic yet beneficial for <em>a priori</em> evaluation of solar potential. Transmittance estimated from clear-sky models is further implemented in all-sky (with clouds), and thus, model accuracy is an important parameter. Additionally, we explore the trends in aerosol concentrations and the impact of local climatological factors on surface irradiance, providing insights critical for optimizing solar energy utilization.</p></div>","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"328 ","pages":"Article 109166"},"PeriodicalIF":2.3000,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of clear-sky irradiance from 6S affected by local climatology of India\",\"authors\":\"Syed Haider Abbas Rizvi ,&nbsp;Bhramar Choudhary ,&nbsp;Ravi Choudhary ,&nbsp;Jitendra Kumar Meher ,&nbsp;Nimisha Gupta ,&nbsp;Jasvipul Chawla ,&nbsp;Mayank Kumar ,&nbsp;Vikram Singh\",\"doi\":\"10.1016/j.jqsrt.2024.109166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Accurate estimation of solar power generation is crucial for the effective planning and operation of solar energy sector. Solar potential can be estimated at a location from long-term historical irradiance data processed from atmospheric reanalysis datasets. The current study employs a clear-sky radiative transfer model (<em>6S)</em> to simulate the net surface irradiance at four distinct locations in India, comparing our model's output with mean monthly ground-based measurements of surface irradiance. Our findings reveal that the <em>6S</em> model marginally underestimates solar irradiance, with potential deviations varying depending on the accuracy of input data. This research evaluates the influence of particulate matter concentration and relative humidity on the scattering and absorption of solar radiation. We also state the variability in surface irradiance across the country with the rainfall trends that enhance assessment accuracy. The study reports an annual deviation of 10–15 % in surface irradiance across the country, where rural settlements show lower deviations in simulations. The radiative transfer calculations mentioned in the study are simplistic yet beneficial for <em>a priori</em> evaluation of solar potential. Transmittance estimated from clear-sky models is further implemented in all-sky (with clouds), and thus, model accuracy is an important parameter. Additionally, we explore the trends in aerosol concentrations and the impact of local climatological factors on surface irradiance, providing insights critical for optimizing solar energy utilization.</p></div>\",\"PeriodicalId\":16935,\"journal\":{\"name\":\"Journal of Quantitative Spectroscopy & Radiative Transfer\",\"volume\":\"328 \",\"pages\":\"Article 109166\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Quantitative Spectroscopy & Radiative Transfer\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022407324002735\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quantitative Spectroscopy & Radiative Transfer","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022407324002735","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0

摘要

准确估算太阳能发电量对于太阳能行业的有效规划和运营至关重要。根据大气再分析数据集处理的长期历史辐照度数据,可以估算出某地的太阳能潜力。目前的研究采用晴空辐射传递模型(6S)来模拟印度四个不同地点的净表面辐照度,并将模型输出结果与地面测量的月平均表面辐照度进行比较。我们的研究结果表明,6S 模型略微低估了太阳辐照度,其潜在偏差因输入数据的准确性而异。这项研究评估了颗粒物浓度和相对湿度对太阳辐射散射和吸收的影响。我们还说明了全国地表辐照度的变化与降雨趋势的关系,从而提高了评估的准确性。研究报告显示,全国地表辐照度的年偏差为 10-15%,其中农村居民点的模拟偏差较小。研究中提到的辐射传递计算方法比较简单,但有利于对太阳能潜力进行先验评估。从晴空模型中估算出的透射率将进一步应用到全天空(有云)中,因此,模型的准确性是一个重要参数。此外,我们还探讨了气溶胶浓度的变化趋势以及当地气候因素对地表辐照度的影响,为优化太阳能利用提供了至关重要的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of clear-sky irradiance from 6S affected by local climatology of India

Accurate estimation of solar power generation is crucial for the effective planning and operation of solar energy sector. Solar potential can be estimated at a location from long-term historical irradiance data processed from atmospheric reanalysis datasets. The current study employs a clear-sky radiative transfer model (6S) to simulate the net surface irradiance at four distinct locations in India, comparing our model's output with mean monthly ground-based measurements of surface irradiance. Our findings reveal that the 6S model marginally underestimates solar irradiance, with potential deviations varying depending on the accuracy of input data. This research evaluates the influence of particulate matter concentration and relative humidity on the scattering and absorption of solar radiation. We also state the variability in surface irradiance across the country with the rainfall trends that enhance assessment accuracy. The study reports an annual deviation of 10–15 % in surface irradiance across the country, where rural settlements show lower deviations in simulations. The radiative transfer calculations mentioned in the study are simplistic yet beneficial for a priori evaluation of solar potential. Transmittance estimated from clear-sky models is further implemented in all-sky (with clouds), and thus, model accuracy is an important parameter. Additionally, we explore the trends in aerosol concentrations and the impact of local climatological factors on surface irradiance, providing insights critical for optimizing solar energy utilization.

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
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
×
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:481959085
Book学术官方微信