Representation of a Thermosiphon System Via Neural Networks Considering Installation Parameters

Abstract

The research of alternative forms of energy production became more important in a context where the natural resources are scarce. In this sense, thermosiphon systems have been developed as an alternative way of energy economy for the water heating process using a renewable energy Cool water tank source: the sun. A thermosiphon system is greatly influenced by several parameters: the ambient temperature (Tamb), the input OLtPLt water temperature (Tin), the solar irradiance (G), the flow rate warm (in), the inclination of the solar collector (I), the height of the Storage tank water water storage tank (H) and mainly by the manufacturing process. Inp Nowadays, there are interests in the development of analytical water Solar collector models that consider parameters of installation such as: height of the water storage tank and inclination of the solar collector. These analytical models can be complex and non-linear. In the last decades, ANN (i.e. Artificial Neural Networks) have been used to represent many kinds of industrial processes, dealing F _ with the complexity and non-linearity of them. Moreover, ANN Fig. 1. Schematic diagram of thermosiphon system.are capable to deal with manufacturing aspects unconsidered by the analytical models but that are important to determine the The performance of a thermosiphon system has been efficiency of the real thermosiphon system. In this work, ANN investigated, both experimentally and analytically, by have been proposed as a new alternative to represent numerous researches [1-8]. The efficiency of this kind of thermosiphon system considering the different parameters systems can be calculated through the equation: related to the efficiency. A trained ANN can eliminate the necessity of new laboratory experiments for real and new mc (T -T T conditions of installation. p out in1

Review on Solar Assisted Heat Pump Water Heating System

“…Seara et al, 2012 [78] tested a DX-SAHP in presence of 0 solar radiation the water is of 300L in 10 hours the temperature of water rises from 14℃ to 55℃ the SPF of the system is 3.01. Rodrigues et al, 2013 [79] discovered that the simulation model can be used to determine the functioning parameter of the DX-SAHP with changing temperature of condensation and evaporation. Paradeshi et al, 2016 [80] performed a practical on the southern peninsula part of India of DX-SAHP consisting collector area of 2 m 2 , R22 refrigerant, sealed compressor, condenser containing air cooled and capillary tube.…”