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Subject: Agricultural Engineering × Author: Manpreet Singh × End date: 2017 × Start date: 2010 × Thesis Type: M.Tech ×
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    ThesisItemOpen Access
    Performance Evaluation and Thermal Modelling of Box Type Multi-Shelf Inclined Solar-Cooker-cum-Dryer
    (Punjab Agricultural University, Ludhiana, 2017) Manpreet Singh
    In this study, a multi-shelf box type inclined solar cooker-cum-dryer (ISCCD) was developed and experimentally tested. The global solar radiation availability as well as thermal model has been developed for selected latitudes. For calculating monthly average daily solar insolation, hourly solar insolation and instantaneous solar intensity captured by ISCCD, a mathematical program using FREEMAT was developed. The model validation was carried out for different ISCCD parameters such as; upper and lower glass cover temperature, chamber air temperature, absorber plate temperature and temperature of water in the cooking vessel. The heat transfer analysis of parallelepiped cooking vessel was also performed. The top, side and bottom loss coefficients of ISCCD were calculated to find out overall heat loss coefficient which further used in evaluation of thermal efficiency. The cooking performance of ISCCD was tested as per BIS standards (IS Code – 14329) and observed that F1, F2 and tboil were 0.13, 0.45 and 194 minutes respectively. It was also concluded that inclined surface of ISCCD captures maximum incident solar radiation as compared to horizontal surface. Drying performance of ISCCD was evaluated by drying amla (gooseberry) with natural and forced convection drying (with medium (1.8 m s-1) and high speed (3.6 m s-1) of fan). For each case, the experiment was carried out with and without using north facing booster mirror to calculate moisture content, drying rate and drying time. Forced convection with medium speed of fan (1.8 m s-1) using booster mirror took less time (10.5 hrs) to reach equilibrium moisture content (1.66 % db). The Logarithmic model was found best by obtaining the determination of coefficient (R2) and standard error estimate (SEE).