PERFORMANCE EVALUATION OF SOLAR HYBRID REFRIGERATION SYSTEM FOR STORAGE OF FRUITS AND VEGETABLES USING ARTIFICIAL NEURAL NETWORK (ANN)
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Date
2019
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Publisher
College of Food Processing Technology and Bio-Energy, Anand Agricultural University, Anand
Abstract
India is the second largest country producing variety of fruits and vegetables but
the deterioration of the quality of fruits and vegetables takes place immediately after
harvest due to lack of farm storage structures. Storage of fruits and vegetables after
storage is the most pressing problems in the tropical countries like India. Hence,
refrigeration is used to store the perishables at low safe storage conditions. Commonly
two types of refrigeration systems are used namely: vapour compression refrigeration
system and vapour absorption refrigeration system. In the case of vapour compression
refrigeration systems mechanical energy is used to drive the system but the vapour
absorption refrigeration systems use heat energy instead of mechanical energy. Thus
this system can be used where the electric power is not available. But these
refrigeration processes demands higher requirement of electricity which is the most
critical problem in rural areas now a days. Hence, the problem of power generation
can be addressed by switching to renewable rather than by using the conventional
electricity. To improve the system performance, some studies have investigated the
characteristics of the system by using a simulation method where the modeling of
solar absorption refrigeration system can be developed by using physical-based model
through fundamental laws of energy-mass balance, heat transfer, and flow balance.