In present communication, a solar dryer having semi-transparent photovoltaic thermal (SPVT) roof has been used to dry bitter gourd. Experimentation has been done and results were validated with linear regression method through mathematical modelling as well as for non-linear Artificial Neural Network (ANN) modelling has been used. The experimental data namely, ambient air temperature, moisture evaporated, bitter gourd surface temperatures, solar intensity on different surfaces of dryer, room temperature and relative humidity have been recorded for the climatic condition of Varanasi, UP, India. The numerical value of convective heat transfer coefficients for bitter gourd found to be between 0.69–14.45 W/m² K. The results for mass transfer (moisture evaporated) during drying of bitter gourd from theoretical model (linear regression method and ANN) and experiments showed good agreement. Further, net electrical energy, thermal energy and overall thermal energy were found to be 0.62, 3.77 and 5.41 kWh/m²/day respectively. The payback period at 10% interest rate and 4% inflation rate with ₹ 50 ($0.77) and ₹ 100 ($1.54) saving rate per kg were found to be 1.47 and 0.72 years respectively.

在当前的通信中，具有半透明的光伏热（SPVT）屋顶的太阳能干燥器已经用于干燥苦瓜。已经进行了实验，并通过线性建模方法通过数学建模对结果进行了验证，并已使用非线性人工神经网络（ANN）建模。记录了印度瓦拉纳西气候条件下的环境温度，蒸发的水分，苦瓜表面温度，干燥机不同表面的日照强度，室温和相对湿度等实验数据。发现苦瓜的对流传热系数的数值在0.69-14.45 W / m ^2之间 K.理论模型（线性回归法和人工神经网络）与苦瓜干燥过程中的传质结果（水分蒸发）和实验结果吻合良好。此外，发现净电能，热能和总热能分别为0.62、3.77和5.41kWh / m ² /天。以每公斤₹50（$ 0.77）和₹100（$ 1.54）的储蓄率计算，利率为10％和通胀率为4％时的投资回收期分别为1.47年和0.72年。