Academic Journal
Resolution of the cloud enhancement problem for one-minute diffuse radiation prediction
| العنوان: | Resolution of the cloud enhancement problem for one-minute diffuse radiation prediction |
|---|---|
| المؤلفون: | Starke, Allan R., Lemos, Leonardo F. L., Boland, John, Cardemil Iglesias, José, Colle, Sergio |
| المصدر: | Renewable Energy |
| بيانات النشر: | Elsevier |
| سنة النشر: | 2018 |
| المجموعة: | Universidad de Chile: Repositorio académico |
| مصطلحات موضوعية: | Minute global, Diffuse and direct irradiance, BRL model, Irradiance separation models, Cloud enhancement |
| الوصف: | For design and simulation of solar energy systems, quality information about all components of solar irradiance is crucial. In cases when only global irradiance measurements are available, separation models are a useful method to estimate DNI and diffuse irradiation. Several of such models have been developed since the 1960s, most of them aiming to deliver estimates in hourly resolution. For higher data resolution, such as in minute data, those models are not able to describe fast transient and cloud enhancement phenomena commonly observed in data with smaller time-steps. This paper proposes an adaptation of the BRL separation model, making it capable of delivering more precise irradiance estimates for higher resolution data. Two models result from this adaptation: one for Brazil and other for Australia. The proposed models yield a more precise DNI and diffuse fraction estimates to their respective countries, compared to other separation models commonly used in the technical literature. For example, using the recommended Combined Performance Index (CPI) as a single statistical indicator, the proposed model yields DNI estimates with CPI from 230 to 350% for Australia, and from 270 to 800% for Brazil, while the Engerer model, recently recommended as a "quasi-universal" 1-min separation model, yields DNI estimates with CPI from 500 to 700% for Australia, and from 600 to 1800% for Brazil. (C) 2018 Elsevier Ltd. All rights reserved. ; CAPES (Brazilian Federal Agency for Support and Evaluation of Graduate Education) "Solar Energy Research Center"-SERC-Chile CONICYT/FONDAP 15110019 European Union's Seventh Framework Programme (FP7 THEME) SPA.2011.1.5-02 283576 |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | Renewable Energy Volumen: 125 Páginas: 472-484; https://repositorio.uchile.cl/handle/2250/152921 |
| DOI: | 10.1016/j.renene.2018.02.107 |
| الاتاحة: | https://doi.org/10.1016/j.renene.2018.02.107 https://repositorio.uchile.cl/handle/2250/152921 |
| Rights: | Attribution-NonCommercial-NoDerivs 3.0 Chile ; http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ |
| رقم الانضمام: | edsbas.1080DF80 |
| قاعدة البيانات: | BASE |
| ResultId |
1 |
|---|---|
| Header |
edsbas BASE edsbas.1080DF80 882 3 Academic Journal academicJournal 881.885437011719 |
| PLink |
https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsbas&AN=edsbas.1080DF80&custid=s6537998&authtype=sso |
| FullText |
Array
(
[Availability] => 0
)
Array ( [0] => Array ( [Url] => https://doi.org/10.1016/j.renene.2018.02.107# [Name] => EDS - BASE [Category] => fullText [Text] => View record in BASE [MouseOverText] => View record in BASE ) ) |
| Items |
Array
(
[Name] => Title
[Label] => Title
[Group] => Ti
[Data] => Resolution of the cloud enhancement problem for one-minute diffuse radiation prediction
)
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Starke%2C+Allan+R%2E%22">Starke, Allan R.</searchLink><br /><searchLink fieldCode="AR" term="%22Lemos%2C+Leonardo+F%2E+L%2E%22">Lemos, Leonardo F. L.</searchLink><br /><searchLink fieldCode="AR" term="%22Boland%2C+John%22">Boland, John</searchLink><br /><searchLink fieldCode="AR" term="%22Cardemil+Iglesias%2C+José%22">Cardemil Iglesias, José</searchLink><br /><searchLink fieldCode="AR" term="%22Colle%2C+Sergio%22">Colle, Sergio</searchLink> ) Array ( [Name] => TitleSource [Label] => Source [Group] => Src [Data] => Renewable Energy ) Array ( [Name] => Publisher [Label] => Publisher Information [Group] => PubInfo [Data] => Elsevier ) Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2018 ) Array ( [Name] => Subset [Label] => Collection [Group] => HoldingsInfo [Data] => Universidad de Chile: Repositorio académico ) Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => <searchLink fieldCode="DE" term="%22Minute+global%22">Minute global</searchLink><br /><searchLink fieldCode="DE" term="%22Diffuse+and+direct+irradiance%22">Diffuse and direct irradiance</searchLink><br /><searchLink fieldCode="DE" term="%22BRL+model%22">BRL model</searchLink><br /><searchLink fieldCode="DE" term="%22Irradiance+separation+models%22">Irradiance separation models</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+enhancement%22">Cloud enhancement</searchLink> ) Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => For design and simulation of solar energy systems, quality information about all components of solar irradiance is crucial. In cases when only global irradiance measurements are available, separation models are a useful method to estimate DNI and diffuse irradiation. Several of such models have been developed since the 1960s, most of them aiming to deliver estimates in hourly resolution. For higher data resolution, such as in minute data, those models are not able to describe fast transient and cloud enhancement phenomena commonly observed in data with smaller time-steps. This paper proposes an adaptation of the BRL separation model, making it capable of delivering more precise irradiance estimates for higher resolution data. Two models result from this adaptation: one for Brazil and other for Australia. The proposed models yield a more precise DNI and diffuse fraction estimates to their respective countries, compared to other separation models commonly used in the technical literature. For example, using the recommended Combined Performance Index (CPI) as a single statistical indicator, the proposed model yields DNI estimates with CPI from 230 to 350% for Australia, and from 270 to 800% for Brazil, while the Engerer model, recently recommended as a "quasi-universal" 1-min separation model, yields DNI estimates with CPI from 500 to 700% for Australia, and from 600 to 1800% for Brazil. (C) 2018 Elsevier Ltd. All rights reserved. ; CAPES (Brazilian Federal Agency for Support and Evaluation of Graduate Education) "Solar Energy Research Center"-SERC-Chile CONICYT/FONDAP 15110019 European Union's Seventh Framework Programme (FP7 THEME) SPA.2011.1.5-02 283576 ) Array ( [Name] => TypeDocument [Label] => Document Type [Group] => TypDoc [Data] => article in journal/newspaper ) Array ( [Name] => Format [Label] => File Description [Group] => SrcInfo [Data] => application/pdf ) Array ( [Name] => Language [Label] => Language [Group] => Lang [Data] => English ) Array ( [Name] => NoteTitleSource [Label] => Relation [Group] => SrcInfo [Data] => Renewable Energy Volumen: 125 Páginas: 472-484; https://repositorio.uchile.cl/handle/2250/152921 ) Array ( [Name] => DOI [Label] => DOI [Group] => ID [Data] => 10.1016/j.renene.2018.02.107 ) Array ( [Name] => URL [Label] => Availability [Group] => URL [Data] => https://doi.org/10.1016/j.renene.2018.02.107<br />https://repositorio.uchile.cl/handle/2250/152921 ) Array ( [Name] => Copyright [Label] => Rights [Group] => Cpyrght [Data] => Attribution-NonCommercial-NoDerivs 3.0 Chile ; http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ ) Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsbas.1080DF80 ) |
| RecordInfo |
Array
(
[BibEntity] => Array
(
[Identifiers] => Array
(
[0] => Array
(
[Type] => doi
[Value] => 10.1016/j.renene.2018.02.107
)
)
[Languages] => Array
(
[0] => Array
(
[Text] => English
)
)
[Subjects] => Array
(
[0] => Array
(
[SubjectFull] => Minute global
[Type] => general
)
[1] => Array
(
[SubjectFull] => Diffuse and direct irradiance
[Type] => general
)
[2] => Array
(
[SubjectFull] => BRL model
[Type] => general
)
[3] => Array
(
[SubjectFull] => Irradiance separation models
[Type] => general
)
[4] => Array
(
[SubjectFull] => Cloud enhancement
[Type] => general
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Resolution of the cloud enhancement problem for one-minute diffuse radiation prediction
[Type] => main
)
)
)
[BibRelationships] => Array
(
[HasContributorRelationships] => Array
(
[0] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Starke, Allan R.
)
)
)
[1] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Lemos, Leonardo F. L.
)
)
)
[2] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Boland, John
)
)
)
[3] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Cardemil Iglesias, José
)
)
)
[4] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Colle, Sergio
)
)
)
)
[IsPartOfRelationships] => Array
(
[0] => Array
(
[BibEntity] => Array
(
[Dates] => Array
(
[0] => Array
(
[D] => 01
[M] => 01
[Type] => published
[Y] => 2018
)
)
[Identifiers] => Array
(
[0] => Array
(
[Type] => issn-locals
[Value] => edsbas
)
[1] => Array
(
[Type] => issn-locals
[Value] => edsbas.oa
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Renewable Energy
[Type] => main
)
)
)
)
)
)
)
|
| IllustrationInfo |