The current study focuses on the performance of the Solar Greenhouse Dryer for drying of grapes for raisin production in the Solar Dryer and Open sun condition in Western Maharashtra. The grape is also known as Vitis Vinifera, and it is a sub-tropical fruit with excess pulp content. The grapes are used as an immune booster as it contains various Phyto-chemicals which reduce various diseases. It is estimated that nearly 80% of grapes produced in India are exported to European countries. The Maharashtra state ranks first in the production of grapes; probably, Western Maharashtra produces nearly 800 thousand tons of grapes every year. The major wastage of grapes is due to a low sugar content, glossy appearance, shrinkage, excess water in the berry, scorching and size variations. Therefore, there is a need to preserve grapes by drying and production of raisins for a non-seasonal requirement. The experiment was conducted for drying of grapes in the Solar Greenhouse Dryer and Open Sun conditions from 1st of April to 4th of April for 48 hours. The initial weight of the grapes to be dried was 500 grams for both the Solar Greenhouse Dryer and Open Sun drying conditions. The experiment was conducted at Bahe, Borgaon, Tal-Walwa, Dist-Sangli, Maharashtra, India located at 17.115oN and 74.33oE. The experimental observations collected during the `experimentation were set as input data for the Design of Experiments i.e., for Response Surface Modelling (RSM). The main aim of using DOE i.e., Response Surface Modelling, is to obtain an optimum region for drying of grapes in the Solar Greenhouse Dryer, from the Surface plot; a region of maxima and minima was obtained. The contour plot obtained during modelling resembles the optimum region of drying, the optimum region for drying grapes is 45 to 50oC respectively. The Moisture Removal Rate (MRR) for drying of grapes in the Solar Greenhouse Dryer and in the Open Sun drying is 73.6% and 57.2% respectively. The drying rate observed during the experiment has a better resemblance with simulated Response Surface Modelling.