Modelling Optimization and Simulation of Energy (Fuel) Consumption of L.D.O.-Fired Rotary Furnace Using Artificial Neural Networks

摘要

Energy consumption is major problem being faced by the ferrous foundries The natural sources of energy-coal, oil, gas etc, are depleting fast As per the survey conducted and reports published by several national & international agencies, the energy consumption in Indian ferrous foundries is much more above the required limits and has to be drastically reduced This paper deals with modelling and simulation of energy (fuel) consumption of LDO-fired rotary furnace using artificial neural networks These experimental investigations on the rotary furnaces produced excellent results, Not only the fuel consumption and emission levels were drastically reduced, but the performance was also improved considerably. The multilayer feed forward modelling method (with two hidden layers) of artificial neural network contained in MatLab software is used for modelling and simulation of energy (fuel) consumption