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contributor authorLave, Matthew
contributor authorStein, Joshua
contributor authorSmith, Ryan
date accessioned2017-05-09T01:33:13Z
date available2017-05-09T01:33:13Z
date issued2016
identifier issn0199-6231
identifier othersol_138_05_054503.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/162504
description abstractTo address the lack of knowledge of local solar variability, we have developed and deployed a lowcost solar variability datalogger (SVD). While most currently used solar irradiance sensors are expensive pyranometers with high accuracy (relevant for annual energy estimates), lowcost sensors display similar precision (relevant for solar variability) as highcost pyranometers, even if they are not as accurate. In this work, we present evaluation of various lowcost irradiance sensor types, describe the SVD, and present validation and comparison of the SVD collected data. The low cost and ease of use of the SVD will enable a greater understanding of local solar variability, which will reduce developer and utility uncertainty about the impact of solar photovoltaic (PV) installations and thus will encourage greater penetrations of solar energy.
publisherThe American Society of Mechanical Engineers (ASME)
titleSolar Variability Datalogger
typeJournal Paper
journal volume138
journal issue5
journal titleJournal of Solar Energy Engineering
identifier doi10.1115/1.4034071
journal fristpage54503
journal lastpage54503
identifier eissn1528-8986
treeJournal of Solar Energy Engineering:;2016:;volume( 138 ):;issue: 005
contenttypeFulltext


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