Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.renene.2021.01.066 |
High-resolution estimates of diffuse fraction based on dynamic definitions of sky conditions | |
Hassan, Muhammed A.; Akoush, Bassem M.; Abubakr, Mohamed; Campana, Pietro Elia; Khalil, Adel | |
通讯作者 | Hassan, MA (corresponding author), Cairo Univ, Fac Engn, Mech Power Engn Dept, Giza 12613, Egypt. |
来源期刊 | RENEWABLE ENERGY
![]() |
ISSN | 0960-1481 |
EISSN | 1879-0682 |
出版年 | 2021 |
卷号 | 169页码:641-659 |
英文摘要 | Accurate monitoring and operation of solar power systems require high-resolution solar radiation measurements and precise separation models. This study aims to improve the accuracy of classic diffuse fraction-clearness index piecewise separation models by applying data-driven classifications of sky conditions. This is achieved through a novel outlier-insensitive clustering algorithm and shape prescriptive modeling, applied to 1-, 10-, 30-, and 60-min ground measurements from 4 different locations in the MENA region. This study shows that classifications of sky conditions are not uniform among the selected locations even though all stations fall in the arid desert climate category. This highlights the importance of extracting the sky conditions from measurements rather than using available classifications in the literature. The selection of the number of clusters has to undergo optimization. The number of clusters is also a function of the time resolution. One of the selected locations shows four optimal clusters for 1-min data and six clusters for 60-min data. All developed piecewise separation models show high accuracy and stability with the mean bias errors approaching zero values and the mean absolute errors ranging between 8.7 and 11.8%. The models also outperform existing ones and have good generalization capabilities under the same climate classification. (C) 2021 Elsevier Ltd. All rights reserved. |
英文关键词 | Solar radiation Diffuse horizontal irradiance Diffuse fraction One-minute observations K-medoids clustering Piecewise model |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000621819400009 |
WOS类目 | Green & Sustainable Science & Technology ; Energy & Fuels |
WOS研究方向 | Science & Technology - Other Topics ; Energy & Fuels |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/351558 |
作者单位 | [Hassan, Muhammed A.; Akoush, Bassem M.; Khalil, Adel] Cairo Univ, Fac Engn, Mech Power Engn Dept, Giza 12613, Egypt; [Abubakr, Mohamed] Cairo Univ, Fac Engn, Mech Design & Prod Engn Dept, Giza 12613, Egypt; [Campana, Pietro Elia] Malardalen Univ, Future Energy Ctr, Sch Business Soc & Engn, S-72123 Vasteras, Sweden |
推荐引用方式 GB/T 7714 | Hassan, Muhammed A.,Akoush, Bassem M.,Abubakr, Mohamed,et al. High-resolution estimates of diffuse fraction based on dynamic definitions of sky conditions[J],2021,169:641-659. |
APA | Hassan, Muhammed A.,Akoush, Bassem M.,Abubakr, Mohamed,Campana, Pietro Elia,&Khalil, Adel.(2021).High-resolution estimates of diffuse fraction based on dynamic definitions of sky conditions.RENEWABLE ENERGY,169,641-659. |
MLA | Hassan, Muhammed A.,et al."High-resolution estimates of diffuse fraction based on dynamic definitions of sky conditions".RENEWABLE ENERGY 169(2021):641-659. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。