2024 : 11 : 21
Hadi Samimi Akhijahani

Hadi Samimi Akhijahani

Academic rank: Associate Professor
ORCID: 0000-0001-6393-0326
Education: PhD.
ScopusId: 24077510800
HIndex: 0/00
Faculty: Faculty of Agriculture
Address: University of Kurdistan, Department of Biosystem Engineering, Renewable Energies
Phone: 08733627721

Research

Title
Thermo-economic analysis of solar drying of Jerusalem artichoke (Helianthus tuberosus L.) integrated with evacuated tube solar collector and phase change material
Type
JournalPaper
Keywords
Artificial neural network Exergy efficiency Jerusalem artichoke, payback time Phase change material
Year
2022
Journal Journal of Energy Storage
DOI
Researchers Mohammad Saleh Barghi Jahromi ، Masoud Iranmanesh ، Hadi Samimi Akhijahani

Abstract

In the present work, the experimental studies performed through the thermo-economical analysis of Jerusalem artichoke slices dried by an indirect cabinet solar dryer with evacuated tube collectors and phase change materials. It shows that in the drying process of 5 mm thickness of Jerusalem artichoke slices the effect of using phase change materials in the solar dryer on the movement of the water content from the crops was significant (P < 0.05). The drying time decreased with increasing the airflow rate, but it was not significant (P > 0.05). Using phase change materials increased activation energy (33.4 kJ/mol) and improved the overall drying efficiency 1.51–7.81%. Specific energy consumption with PCM usage decreases from 14.51 to 13.38 MJ/kg. In addition the exergy efficiency for the drying process about 35.3–59.7%. The optimized condition for the system was obtained, and it showed that payback time for the solar dryer with optimized condition could be decreased to 22 months which was lower than basic condition (15%). Moreover, artificial neural network, computational fluid dynamic and evolutionary polynomial regression were considered to predict the variations of thermal behavior of the system. The values of RMSE and COV for artificial neural network method are lower and R2 is higher than the computational fluid dynamic method. The result of evolutionary polynomial regression implied that it predicted outlet temperature, and the collector thermal efficiency with the acceptable accuracy (R2 >0.98). According to the exergetic, economic and quality consideration the proper condition was obtained with0.9 kg/s for air flow rate assisted with PCM.