  This paper introduces a smart model for intelligent energy management of
steam generators which are utilized for steam generator and controlling the air
to fuel ratio for steam generator all over the firing curve and transient mode
operation. Nowadays, the environment faces a lot of pollution and global
warming phenomena. With the spread of electrical devices, electric cars with
conventional electrical generation sources, and the increase in electrical
consumption, instead of minimizing the pollution level the situation becomes
disastrous. Steam generators have a lot of pros which cannot be neglected, such
as: high efficiency, reliable operation, low emission (with regular
maintenance), and big variety of fuel source. However, regular maintenance
overlooks some parameters, especially the air to fuel ratio that achieves green
environment, high efficiency and low fuel consumption. The steam generator
system is simulated utilizing Simulink/MATLAB. The system is operated at
different loading and generation conditions to determine the variation of air
to fuel ratio against power variation. Neural Network (NN) unit is added in
different locations and scenarios. It is effective in controlling the main bus
of air, fuel, auxiliary and inverter speed. By testing the NN on the simulated
tested system, the results are satisfied.
