In the present study, an artificial neural netw ork (ANN) model for a solid desiccantvapor compression hybrid airconditioning system is developed to predict the cooling capacity, pow er input and coefficient of performance (COP) of the... more
In the present study, an artificial neural netw ork (ANN) model for a solid desiccantvapor compression hybrid airconditioning system is developed to predict the cooling capacity, pow er input and coefficient of performance (COP) of the system. This paper also describes the experimental test set up for collecting the required experimental test data. The experimental measurements are taken at steady-state conditions while varying the input parameters like air stream flow rates and regeneration temperature. Most of the experimental test data (80%) w ere used for training the ANN model w hile the remaining (20%) w ere used for the testing of the ANN model. Experimental data w ere collected during the cooling period of March to September. The outputs predicted from the ANN model have a high coefficient of correlation (R>0.988) in predicting the system performance. The results show that the ANN model can be applied successfully and can provide high accuracy and reliability for predicting the performance of the hybrid desiccant cooling systems.
In this research, the design of a solar reverse osmosis desalination plant was investigated by integrating various components using TRNSYS and ROSA software. To this goal, a two-stage reverse osmosis system with 50% recovery in the city... more
In this research, the design of a solar reverse osmosis desalination plant was investigated by integrating various components using TRNSYS and ROSA software. To this goal, a two-stage reverse osmosis system with 50% recovery in the city of Chabahar was modeled. The calculations were performed in three different case studies, i.e., a photovoltaic power plant, a solar collector power plant with Organic Rankine Cycles, and a photovoltaic thermal power plant with Organic Rankine Cycles, with the reverse osmosis desalination plant being a novel investigation. Water production and electrical energy generation of each case study were evaluated both on a daily and yearly bases. The simulation results showed that the photovoltaic thermal system at a 25 ° angle, with a water production of 82,052.05 (m3/day), could produce the most. On the other hand, the solar collector with Organic Rankine Cycles generated the least of all. Moreover, the photovoltaic thermal system was able to reduce the annual CO2 emissions by about 44.593 × 106 (kg) using solar energy instead of natural gas. Finally, this system proved to be feasible in terms of economic analyses.
In this research, the design of a solar reverse osmosis desalination plant was investigated by integrating various components using TRNSYS and ROSA software. To this goal, a two-stage reverse osmosis system with 50% recovery in the city... more
In this research, the design of a solar reverse osmosis desalination plant was investigated by integrating various components using TRNSYS and ROSA software. To this goal, a two-stage reverse osmosis system with 50% recovery in the city of Chabahar was modeled. The calculations were performed in three different case studies, i.e., a photovoltaic power plant, a solar collector power plant with Organic Rankine Cycles, and a photovoltaic thermal power plant with Organic Rankine Cycles, with the reverse osmosis desalination plant being a novel investigation. Water production and electrical energy generation of each case study were evaluated both on a daily and yearly bases. The simulation results showed that the photovoltaic thermal system at a 25 ° angle, with a water production of 82,052.05 (m3/day), could produce the most. On the other hand, the solar collector with Organic Rankine Cycles generated the least of all. Moreover, the photovoltaic thermal system was able to reduce the annual CO2 emissions by about 44.593 × 106 (kg) using solar energy instead of natural gas. Finally, this system proved to be feasible in terms of economic analyses.