印度马哈拉施特拉邦Amravati不同模式的太阳辐射模拟

Bhushan R. Mahajan, K. Namrata, A. Varshney, Ankita Pundir
{"title":"印度马哈拉施特拉邦Amravati不同模式的太阳辐射模拟","authors":"Bhushan R. Mahajan, K. Namrata, A. Varshney, Ankita Pundir","doi":"10.1109/SEEMS.2018.8687335","DOIUrl":null,"url":null,"abstract":"The increasing energy demands around the globe and depleting conventional energy sources has compelled us to think of alternate sources of energy. The energy available from sun in the form solar radiation is of paramount importance in context of supplying the energy needs. The utilization of solar energy solely depends on the obtainable solar radiation flux at a particular geographical location. In this study, a novel attempt of predicting solar radiation at Amravati, Maharashtra, India (20.9374oN,\\ 77.7796oE) has been made using different empirical models based on Angstrom-Prescott model, considering sunshine hour as prime parameter using MATLAB tool. Several statistical tests are used as basis of comparison such as the mean bias error (MBE), the mean percentage error (MPE), the root mean square error (RMSE), correlation coefficient (r). Based on the statistical results, the best model for considered site can be ascertained and used for predicting solar power plant capacity for Amravati. Due to absence of meteorological data at the considered site, this work will thus prove to be beneficial in estimating the solar radiation at Amravati and also at various sites having similar climatic conditions where measured solar radiation data is absent.","PeriodicalId":248393,"journal":{"name":"2018 International Conference on Sustainable Energy, Electronics, and Computing Systems (SEEMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling and Simulation of Solar Radiation using Different Models for Amravati, Maharashtra India\",\"authors\":\"Bhushan R. Mahajan, K. Namrata, A. Varshney, Ankita Pundir\",\"doi\":\"10.1109/SEEMS.2018.8687335\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing energy demands around the globe and depleting conventional energy sources has compelled us to think of alternate sources of energy. The energy available from sun in the form solar radiation is of paramount importance in context of supplying the energy needs. The utilization of solar energy solely depends on the obtainable solar radiation flux at a particular geographical location. In this study, a novel attempt of predicting solar radiation at Amravati, Maharashtra, India (20.9374oN,\\\\ 77.7796oE) has been made using different empirical models based on Angstrom-Prescott model, considering sunshine hour as prime parameter using MATLAB tool. Several statistical tests are used as basis of comparison such as the mean bias error (MBE), the mean percentage error (MPE), the root mean square error (RMSE), correlation coefficient (r). Based on the statistical results, the best model for considered site can be ascertained and used for predicting solar power plant capacity for Amravati. Due to absence of meteorological data at the considered site, this work will thus prove to be beneficial in estimating the solar radiation at Amravati and also at various sites having similar climatic conditions where measured solar radiation data is absent.\",\"PeriodicalId\":248393,\"journal\":{\"name\":\"2018 International Conference on Sustainable Energy, Electronics, and Computing Systems (SEEMS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Sustainable Energy, Electronics, and Computing Systems (SEEMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEEMS.2018.8687335\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Sustainable Energy, Electronics, and Computing Systems (SEEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEEMS.2018.8687335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

全球不断增长的能源需求和日益枯竭的传统能源迫使我们考虑替代能源。以太阳辐射的形式从太阳获得的能量在满足能源需求方面是至关重要的。太阳能的利用完全取决于在某一特定地理位置可获得的太阳辐射通量。本文以光照时数为主要参数,基于Angstrom-Prescott模型,利用MATLAB工具对印度马哈拉施特拉邦Amravati地区(20.9374oN,\ 77.77960 oe)的太阳辐射进行了不同经验模型的预测。利用平均偏置误差(MBE)、平均百分比误差(MPE)、均方根误差(RMSE)、相关系数(r)等统计检验作为比较的基础。根据统计结果,可以确定考虑场地的最佳模型,并用于预测Amravati太阳能发电厂的容量。由于所考虑的地点没有气象数据,因此这项工作将被证明有利于估计阿姆拉瓦蒂的太阳辐射,也有利于估计具有类似气候条件但没有测量到的太阳辐射数据的各种地点的太阳辐射。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Modelling and Simulation of Solar Radiation using Different Models for Amravati, Maharashtra India
The increasing energy demands around the globe and depleting conventional energy sources has compelled us to think of alternate sources of energy. The energy available from sun in the form solar radiation is of paramount importance in context of supplying the energy needs. The utilization of solar energy solely depends on the obtainable solar radiation flux at a particular geographical location. In this study, a novel attempt of predicting solar radiation at Amravati, Maharashtra, India (20.9374oN,\ 77.7796oE) has been made using different empirical models based on Angstrom-Prescott model, considering sunshine hour as prime parameter using MATLAB tool. Several statistical tests are used as basis of comparison such as the mean bias error (MBE), the mean percentage error (MPE), the root mean square error (RMSE), correlation coefficient (r). Based on the statistical results, the best model for considered site can be ascertained and used for predicting solar power plant capacity for Amravati. Due to absence of meteorological data at the considered site, this work will thus prove to be beneficial in estimating the solar radiation at Amravati and also at various sites having similar climatic conditions where measured solar radiation data is absent.
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
自引率
0.00%
发文量
0
期刊最新文献
Informatian Retrieval of Indonesian Translated version of Al Quran and Hadith Bukhori Muslim Load Flow Analysis of IEEE 14 Bus System Using ANN Technique Low Cost Smartphone Controlled Wireless UAV A Survey Of Microwave Bandpass Filter Using Coupled Line Resonator -Research Design And Development SEEMS 2018 Author Index
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1