Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/94263
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Mechanical Engineering | - |
| dc.creator | Chu, Y | - |
| dc.creator | Li, M | - |
| dc.creator | Pedro, HTC | - |
| dc.creator | Coimbra, CFM | - |
| dc.date.accessioned | 2022-08-11T02:01:29Z | - |
| dc.date.available | 2022-08-11T02:01:29Z | - |
| dc.identifier.issn | 0960-1481 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/94263 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_US |
| dc.rights | © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) | en_US |
| dc.rights | The following publication Chu, Y., Li, M., Pedro, H. T. C., & Coimbra, C. F. M. (2022). A network of sky imagers for spatial solar irradiance assessment. Renewable Energy, 187, 1009-1019 is available at https://doi.org/10.1016/j.renene.2022.01.032 | en_US |
| dc.subject | Image-to-irradiance | en_US |
| dc.subject | Sky-imaging network | en_US |
| dc.subject | Solar resourcing | en_US |
| dc.subject | Spatially-resolved irradiance | en_US |
| dc.title | A network of sky imagers for spatial solar irradiance assessment | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 1009 | - |
| dc.identifier.epage | 1019 | - |
| dc.identifier.volume | 187 | - |
| dc.identifier.doi | 10.1016/j.renene.2022.01.032 | - |
| dcterms.abstract | A network of seven low-cost hemispheric sky-imaging cameras has been installed in the Los Angeles basin. This network of cameras provides wide sky coverage to perform spatial solar irradiance assessments. An Image to Irradiance algorithm (I2I) is proposed to simultaneously derive high-resolution diffuse, direct and global solar irradiance from sky images. Spatial interpolation using the Kriging method is used to derive the irradiance field for the whole basin area. The relatively inexpensive network of cameras can provide spatially resolved GHI that is more accurate than GHI derived from GOES-west satellite images provided by the Cooperative Institute for Meteorological Satellite Studies (CIMSS) when the distance to the nearest site is less than 40 km. This work successfully demonstrates that, with minor trade-off in accuracy, solar irradiance monitoring can be achieved using off-the-shelf cameras in the absence of radiometers. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Renewable energy, Mar. 2022, v. 187, p. 1009-1019 | - |
| dcterms.isPartOf | Renewable energy | - |
| dcterms.issued | 2022-03 | - |
| dc.identifier.scopus | 2-s2.0-85124402256 | - |
| dc.identifier.eissn | 1879-0682 | - |
| dc.description.validate | 202208 bckw | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | a1490 | en_US |
| dc.identifier.SubFormID | 45147 | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | U.S. Environmental Protection Agency; South Coast Air Quality Management District | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0960148122000386-main.pdf | 2.34 MB | Adobe PDF | View/Open |
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