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Investigation of convective and radiative heat losses from modified cavity based solar dish steam generator using ANN
T. Srihari Vikram,
Published in Elsevier Masson SAS
2015
Volume: 87
   
Pages: 19 - 30
Abstract
In this article, total heat losses from three configurations of modified cavity receiver of solar parabolic dish are investigated using 3-D numerical model. The effects of various parameters such as diameter ratio (d/D), angle of inclination , operating temperature (T), insulation thickness (t) and emissivity (μ) of the cavity cover on the heat losses from the modified cavity receiver are investigated. The variable boundary conditions are considered for modified cavity receiver to produce sub-cooled hot water, saturated steam and superheated steam. An Artificial Neural Network (ANN) model is developed to predict the heat loss for a large set of influencing parameters. Based on ANN modelling, improved Nusselt number correlations are proposed for convective, radiative and total heat losses from the modified cavity receiver. The convective heat losses are greatly influenced by receiver inclination whereas the radiation heat losses are influenced by the cavity cover emissivity. The diameter ratio also plays a major role in heat losses from the cavity receiver. The total heat loss is estimated as 522 W for superheat steam condition for Combining double low line 0 and d/D Combining double low line 0.05; whereas it is 288 W for diameter ratio 1. The total heat loss varies 25% for inclinations 0 and 90°. For saturated and sub-cooled steam conditions, the total heat loss variation is found to be 28% and 21% respectively from 0 to 90° inclinations for diameter ratio of 0.05. The present method predicts the heat losses more accurately compared with the existing models. © 2014 Elsevier Masson SAS.
About the journal
JournalData powered by TypesetInternational Journal of Thermal Sciences
PublisherData powered by TypesetElsevier Masson SAS
ISSN12900729
Open AccessNo
Concepts (15)
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    Electromagnetic wave emission
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    Enthalpy
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    Heat convection
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    Neural networks
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    Steam
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    Steam generators
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    3-D NUMERICAL MODELING
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    Artificial neural network models
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    Influencing parameters
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    LOSS ESTIMATION
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    MODIFIED CAVITY RECEIVER
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    Nusselt number correlation
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    Operating temperature
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    Variable boundary conditions
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    Heat losses