Optimal variables estimation for energy reduction via a remote supervisory control: application to a counter-flow rotary dryer

This research anatomizes an automatic mode control of a counter flow rotary dryer by variable speed drive technology, to control moisture content of product in an organic fertilizer drying process. Effects of rotary dryer cyclone blower and biogas blower were investigated on a fertilizer production by the 3(k) factorial experiment technique. Response surface methodology was employed to determine optimum variables. The multiple-response was revealed that the rotary dryer, the cyclone blower, and the biogas blower were 90 %, 48 %, and 92 %, respectively. These values were observed to make the system to consume electricity at the rate of 8.91 kW/h and the product moisture was observed at 18.90 % db. To inspect control system accuracy and accountability, the results obtained from the mathematical model was compared with the data from supervisory control and data acquisition system and with the data from real measurement also. The output responses were the electric power used and the product moisture obtained. The statistical investigation determined the optimization of energy usage.