Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/3337
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Charalambides, Alexandros G. | - |
dc.contributor.author | Tapakis, Rogiros | - |
dc.date.accessioned | 2015-03-16T11:49:12Z | - |
dc.date.accessioned | 2015-12-08T07:53:39Z | - |
dc.date.available | 2015-03-16T11:49:12Z | - |
dc.date.available | 2015-12-08T07:53:39Z | - |
dc.date.issued | 2013-05-23 | - |
dc.identifier.citation | Conference Papers in Energy Journal, 2013, vol. 2013, pp. 6. | en_US |
dc.identifier.issn | 23566108 | - |
dc.identifier.issn | 23566094 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/3337 | - |
dc.description | Paper presented at Power Options for the Eastern Mediterranean Region, 2012, Limassol, Cyprus, 19 -21 November | en_US |
dc.description.abstract | Solar Energy is the feedstock for various applications of renewable energy sources; thus, the knowledge of the intensity of the incident solar irradiance is essential for monitoring the performance of such systems. The major unpredictable factor in defining the solar irradiance and the performance of solar systems is the presence of clouds in the sky. So far, various researchers proposed several models to correlate solar irradiance to cloud coverage and cloud type. The present work describes the development of a simple method for cloud detection and computation of short-term cloud motion. The minimum accuracy of the model was 95% for the prediction of the cloud location seven timesteps in advance with only three cloud images processed. When including the dimensions of the cloud to the accuracy calculation, the minimum accuracy was 88%. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Conference Papers in Energy Journal | en_US |
dc.rights | © 2013 Rogiros D. Tapakis and Alexandros G. Charalambides | en_US |
dc.subject | Solar Energy | en_US |
dc.subject | Solar Irradiance Prediction | en_US |
dc.subject | Monitoring Cloud Motion | en_US |
dc.title | Monitoring Cloud Motion in Cyprus for Solar Irradiance Prediction | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Environmental Engineering | en_US |
dc.journals | Open Access | en_US |
dc.review | Peer Reviewed | en |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1155/2013/320618 | en_US |
dc.dept.handle | 123456789/77 | en |
dc.relation.volume | 2013 | en_US |
cut.common.academicyear | 2012-2013 | en_US |
dc.identifier.spage | 6 | en_US |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
crisitem.author.dept | Department of Chemical Engineering | - |
crisitem.author.dept | Department of Chemical Engineering | - |
crisitem.author.faculty | Faculty of Geotechnical Sciences and Environmental Management | - |
crisitem.author.faculty | Faculty of Geotechnical Sciences and Environmental Management | - |
crisitem.author.orcid | 0000-0002-0374-2128 | - |
crisitem.author.orcid | 0000-0002-4957-4772 | - |
crisitem.author.parentorg | Faculty of Geotechnical Sciences and Environmental Management | - |
crisitem.author.parentorg | Faculty of Geotechnical Sciences and Environmental Management | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Monitoring Cloud Motion in Cyprus.pdf | 2.62 MB | Adobe PDF | View/Open |
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