understanding of the drying mechanism involved and also to predict the water collection rates . A molecular as wellas macroscopic approach was adopted for the prediction of drying rate. Ficks law of diffusion was adopted for theprediction of drying rates at macroscopic levels. A steady state and dynamic mass transfer simulation was performed.The bulk diffusion coefficient was calculated using weight loss experiments. The accuracy of the solution was a strongfunction of the relation developed to determine the equilibrium moisture content. The actually observed diffusionconstant was also important to predict the plant water removal rate. Thermo gravimetric studies helped in calculatingthe diffusion constant. In addition, simulation studies revealed the formation of perpetual moisture traps (loops)inside the CT. These loops can only be broken by changing the temperature or pressure of the system. The changein temperature or pressure changes the kinetic or potential energy of the effusing vapor resulting in breaking of theloop. The cycle was developed based on this mechanism. Additionally, simulation studies also revealed that theactual mechanism of moisture diffusion in CT’s is by surface jumps initiated by surface diffusion balanced against thesurrounding pressure. Every subsequent step in the cycle was to break such loops. The effect of change in drying timeon the electrical properties of the insulation was also assessed. The measurement of capacitance at the rated voltageand one third of the rated voltage demonstrated that the capacitance change is within the acceptance limit. Hence,the new cycle does not affect the electrical performance of the CT