Show simple item record

dc.contributor.authorRahmatmand, Alien
dc.contributor.authorHarrison, Stephen J.en
dc.contributor.authorOosthuizen, Patrick H.en
dc.date.accessioned2019-06-07T15:39:00Z
dc.date.available2019-06-07T15:39:00Z
dc.date.issued2019-07-25
dc.identifier.citationRahmatmand, A., Harrison, S. J., & Oosthuizen, P. H. (2019). Numerical and experimental study of an improved method for prediction of snow melting and snow sliding from photovoltaic panels. Applied Thermal Engineering, 158, 113773. doi:10.1016/j.applthermaleng.2019.113773en
dc.identifier.urihttp://hdl.handle.net/1974/26291
dc.descriptionThe final publication is available at Elsevier via http://dx.doi.org/10.1016/j.applthermaleng.2019.113773 ©2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.description.abstractSnow accumulation on photovoltaic panels can significantly decrease the output power generated by the PV systems. One approach to this problem is to heat the panels. Although several numerical models have been proposed to simulate snow melting on horizontal surfaces, there is no model for snow sliding or snow melting on tilted surfaces. Therefore, an improved numerical model has been developed to predict snow sliding or snow melting on horizontal and tilted PV panels. By modeling the snow as a porous media, the governing equation for a porous environment, Darcy's law, was used to predict the rate of meltwater drainage from the snow cover on a tilted panel. In addition, a set of experiments have been performed in a controlled situation to study the physics of snow sliding from a PV panel and to validate the model. An empirical equation was proposed to predict the required time for snow sliding (RTS) from inclined panels with a good agreement with the experimental results.en
dc.description.sponsorshipSouthwest Educational Research Associationen
dc.description.sponsorshipNatural Sciences and Engineering Research Council of CanadaNatural Sciences and Engineering Research Council of Canadaen
dc.publisherElsevieren
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectHorizontal and tilted surfacesen
dc.subjectNumerical modelen
dc.subjectPhotovoltaic solar panelen
dc.subjectSnow meltingen
dc.subjectSnow slidingen
dc.titleNumerical and experimental study of an improved method for prediction of snow melting and snow sliding from photovoltaic panelsen
dc.typejournal articleen
dc.identifier.doihttps://dx.doi.org/10.1016/j.applthermaleng.2019.113773


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/