I. T. Toğural and H. Toğural model

Various regression analyses were applied to estimate monthly mean solar radiation in Turkey, by using n / N and n / N nh parameters. Also, equations which represent two periods of the year, winter and summer, were developed by using these parameters.

Estimation of solar radiation

true

Contributor(s)

Initial contribute: 2021-09-09

Authorship

Is authorship not correct? Feed back

Classification(s)

Application-focused categoriesIntegrated-perspectiveGlobal scale
Application-focused categoriesIntegrated-perspectiveRegional scale

Detailed Description

English {{currentDetailLanguage}} English

Quoted from: I. T. Toğrul and H. Toğrul.Global solar radiation over Turkey: comparison of predicted and measured data[J]. Renewable Energy, 2002, 25(1):55-67.https://www.sci-hub.ren/10.1016/s0960-1481(00)00197-x

In this study, various regression analyses were applied to estimate monthly mean solar radiation in Turkey, by using n / N and n / N nh parameters. Also, equations which represent two periods of the year, winter and summer, were developed by using these parameters. The equations developed by using n / N nh ratio showed good results for the whole country, but, those which included n / N ratio at different cities showed better results. Even better results were obtained when the equations were applied to the summer and winter. In addition to RMSE and MBE statistics, the t-test method and the harmonic analysis were employed to prove that the results are reliable.

Introduction

While solar energy data are recognised as very important, their acquisition is by no means straightforward. The measurement of solar radiation requires the use of costly equipment such as pyrheliometers and pyranometers. Consequently, adequate facilities are often not available in developing countries to mount viable monitoring programmes. This is partly due to the equipment cost and also the cost of technical manpower. Several attempts have, hovewer, been made to estimate solar radiation through the use of meteorological and other physical parameter in order to avoid the use of expensive network of measuring instruments.

The objective of this study is to develop some statistical relations in order to estimate monthly mean daily global solar radiation in Turkey. For this aim, the data obtained from the observation stations in Antalya, I˙zmir, Ankara, Yenihisar (Aydın), and Yumurtalık (Adana) and the measured values in Elazıg˘ were used. The global solar radiation was measured by CM11 model Kipp pyranometer in observation stations, and by CM6 model Kipp pyranometer in Elazıg˘.

 I. T. Toğural and H. Toğural suggested the relation for the estimation of global solar radiation in Turkey:

\( 𝐻/𝐻_0 = 0.318 + 0.449 𝑆/𝑆_0 . \)

The results of regression analyses applied for winter (January–March and October–December intervals) and summer (April–September) are given below:
\( 𝐻/𝐻_0 = 0.2947 + 0.4669 𝑆/𝑆_0 \)  for winter
\( 𝐻/𝐻_0 = 0.5103 + 0.1628 𝑆/𝑆_0 \)  for summer
\( 𝐻/𝐻_0=0.2948+0.5342𝑆/𝑆nh \)  for winter
\( 𝐻/𝐻_0=0.5067+0.1937𝑆/𝑆nh \)  for summer
\( 𝐻/𝐻_0= 0.1739 ln 𝑆/𝑆nh+ 0.6782 \)  for winter
\( 𝐻/𝐻0=0.1124ln(𝑆/𝑆nh)+0.6822 \)  for winter

I. T. Toğural and H. Toğural suggested the third-order relation for the estimation of global solar radiation in Turkey, as follows:

\( H/H_0 = 0.1796 + 0.9813S/S_0− 0.2958(S/S_0) ^2 − 0.2657(S/S_0)^3 \) 

\( H/H_0=0.1587+1.3652S/Snh−0.1175(S/Snh)^2 \) for winter

\( H/H_0 = 0.288 + 0.9874S/Snh − 0.6967(S/Snh)^2 \) for summer

 

Finally, these results clearly indicate that reliance on the RMSE and MBE used separately can lead to a wrong decision in selecting the best model from a suited of candidate models and that the use of the RMSE and MBE in isolation is not an adequate indicator of model performance. Therefore, the t-statistic should be used in conjunction with these two indicators to better evaluate a model’s performance.

模型元数据

{{htmlJSON.HowtoCite}}

I. T. Toğural, H. Toğural (2021). I. T. Toğural and H. Toğural model, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/f724c94d-58ef-4505-8a99-4fe0383a6aba
{{htmlJSON.Copy}}

Contributor(s)

Initial contribute : 2021-09-09

{{htmlJSON.CoContributor}}

Authorship

Is authorship not correct? Feed back

History

Last modifier
lu zhang
Last modify time
2021-09-10
Modify times
View History

QR Code

×

{{curRelation.overview}}
{{curRelation.author.join('; ')}}
{{curRelation.journal}}









{{htmlJSON.RelatedItems}}

{{htmlJSON.LinkResourceFromRepositoryOrCreate}}{{htmlJSON.create}}.

Drop the file here, orclick to upload.
Select From My Space
+ add

{{htmlJSON.authorshipSubmitted}}

Cancel Submit
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
{{htmlJSON.Localizations}} + {{htmlJSON.Add}}
{{ item.label }} {{ item.value }}
{{htmlJSON.ModelName}}:
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
名称 别名 {{tag}} +
系列名 版本号 目的 修改内容 创建/修改日期 作者
摘要 详细描述
{{tag}} + 添加关键字
* 时间参考系
* 空间参考系类型 * 空间参考系名称

起始日期 终止日期 进展 开发者
* 是否开源 * 访问方式 * 使用方式 开源协议 * 传输方式 * 获取地址 * 发布日期 * 发布者



编号 目的 修改内容 创建/修改日期 作者





时间分辨率 时间尺度 时间步长 时间范围 空间维度 格网类型 空间分辨率 空间尺度 空间范围
{{tag}} +
* 类型
图例


* 名称 * 描述
示例描述 * 名称 * 类型 * 值/链接 上传


{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
Title Author Date Journal Volume(Issue) Pages Links Doi Operation
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
{{htmlJSON.Add}} {{htmlJSON.Cancel}}

{{articleUploading.title}}

Authors:  {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.

Journal:   {{articleUploading.journal}}

Date:   {{articleUploading.date}}

Page range:   {{articleUploading.pageRange}}

Link:   {{articleUploading.link}}

DOI:   {{articleUploading.doi}}

Yes, this is it Cancel

The article {{articleUploading.title}} has been uploaded yet.

OK
{{htmlJSON.Cancel}} {{htmlJSON.Confirm}}