研究目的
The main objectives of this system were to supply the thermal load of the indirect solar dryer, to ?nd the best model for the drying process, to present a new model to predict the drying process of Tarkhineh (the drying material) and to perform its life-cycle cost analysis (LCCA).
研究成果
The results of drying Tarkhineh indicated that the ET solar dryer has a better performance than the PV/T solar dryer. The new models 1 and 2 were the best models for describing the drying process of Tarkhineh at inlet air setpoint temperatures of 55 °C and 45 °C, respectively. The payback period was higher in the ET solar dryer than the PV/T solar dryer with respect to the number of sunny days per year.
研究不足
The study was conducted under the specific weather conditions of Sanandaj city, Iran, which may limit the generalizability of the results to other locations. Additionally, the study focused on a specific drying material (Tarkhineh), and the results may not be applicable to other materials.
1：Experimental Design and Method Selection:
The study involved designing and manufacturing an indirect solar dryer using a Photovoltaic Thermal (PV/T) collector and Evacuated Tube (ET) collector. The system was tested under the weather conditions of Sanandaj city, Iran and compared with open sun drying.
2：Sample Selection and Data Sources:
The drying material was Tarkhineh, a kind of local soup made of cracked wheat mixed with a special thick Doogh. The samples were considered to be 800 gr and were weighed every 30 min by a digital scale during the experiment.
3：List of Experimental Equipment and Materials:
The system included PV/T and ET collectors, a blower, channels, a dryer chamber made of double-glazed galvanized steel sheets, and an aluminum double-glazed window.
4：Experimental Procedures and Operational Workflow:
The system was tested in two modes: solar dryer coupled with a PVT collector and solar dryer coupled with an ET collector. The drying continued until the difference between two consequent weights was less than 0.1 gr.
5：1 gr.
Data Analysis Methods:
5. Data Analysis Methods: The moisture content of different drying models was evaluated by MATLAB software using the experimental data obtained. The best model was selected based on the maximum correlation coefficient (R2) and minimum Root Mean Square Error (RMSE).
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
