Abstract:
This master's thesis presents an experimental investigation into the drying
characteristics, kinetics modeling, and performance assessment of an innovative direct
forced convection solar dryer integrated with photovoltaic power. The solar dryer was
meticulously crafted within the confines of the Applied Research Unit in Renewable
Energy, utilizing cost-effective materials, and synergized with a 10-watt photovoltaic
panel. Operational conditions of the dryer are regulated by a sophisticated control
system, synchronized with real-time meteorological data via an Arduino interface.
The study conducts drying experiments on fresh mint, parsley, and henna
samples. The objective is to reduce their initial moisture content from 83.55 % (w.b) for
mint, 79.1 % (w.b) for parsley, and 65.84 % (w.b) for henna to the respective target
moisture levels of 7.22 %, 6.48 %, and 3.73 % (w.b) within specific timeframes of
7h:34min for mint, 8h:40min for parsley, and 6h:28min for henna. Mathematical
modeling of the drying process is performed, revealing that the Midilli-Kucuk model
adeptly predicts the drying behavior of fresh mint, parsley, and henna samples.
Furthermore, the control system, which dynamically adjusts drying temperatures
based on real-time weather data, is rigorously tested and proven to be highly effective.
This work contributes valuable insights into the practical implementation of solar
drying systems powered by photovoltaic cells, offering a sustainable and energyefficient solution for preserving agricultural produce. The findings underscore the
feasibility and efficiency of such integrated systems, paving the way for broader adoption
in renewable energy-driven agricultural processes.
