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contributor authorSridharan, M.
contributor authorJayaprakash, G.
contributor authorChandrasekar, M.
contributor authorVigneshwar, P.
contributor authorParamaguru, S.
contributor authorAmarnath, K.
date accessioned2019-02-28T11:07:32Z
date available2019-02-28T11:07:32Z
date copyright7/24/2018 12:00:00 AM
date issued2018
identifier issn0199-6231
identifier othersol_140_06_061013.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252948
description abstractIn recent years, solar PV/T water collectors have been identified as one of the most promising hybrid devices. It is a combination of solar photovoltaic (PV) and solar flat plate collector (FPC) systems capable of generating electrical and thermal power simultaneously. This study presents a model which predicts solar PV/T collector power output using fuzzy logic techniques. A fuzzy logic model was established to predict power output of PV/T with respect to changes in input process and FPC output power. Membership functions were allocated in connection with each model input. Experimental tests conducted during the month of December 2016 are compared with the developed fuzzy model to verify predicted results. The results indicate an agreement between fuzzy model and experimental results with an accuracy of 94.38% and error of 5.62%.
publisherThe American Society of Mechanical Engineers (ASME)
titlePrediction of Solar Photovoltaic/Thermal Collector Power Output Using Fuzzy Logic
typeJournal Paper
journal volume140
journal issue6
journal titleJournal of Solar Energy Engineering
identifier doi10.1115/1.4040757
journal fristpage61013
journal lastpage061013-6
treeJournal of Solar Energy Engineering:;2018:;volume( 140 ):;issue: 006
contenttypeFulltext


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