A New Formulation to Estimate Temperature of Solar Pond


Abstract


In this paper, a new formulation based on Artificial Neural Network (ANN) was presented for estimating solar pond temperature. Temperature of solar pond which is constructed experimentally was estimated depending on time, pond depth, solar radiation and air temperature. In order to train the network, experimental measurements were used as training and test data. The temperatures in different depths of solar pond have been calculated theoretically with equations derived from ANN model and compared with the experimental results. The ability of ANN is to learn complex non-linear relationships. A new formulation using ANN was presented here.

Keywords


Solar ponds; Artificial Neural Network; Solar energy; Mathematical formulation.

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