69
Subsequently, the control mechanism of the rotor which is artificial neural network (ANN) has revealed the maximum geothermal energy point tracking that is
connected into the electric circuit [42–44]. Interestingly, the implemented electric
circuit suggests that the produced volts near the MPP within changed thermal conditions deliver the maximum energy (I = current) which is characterized by the V–I
relationship as follows neglecting the internal shunt resistance in order to use it as
the electricity energy [45–47]:
Fig. 4.6 The rate of energy generation calculated from the geothermal energy in the generator by
the reheat process
Fig. 4.7 The current-charge and power-voltage generation in the generator cell in relation to the
MPP and the cell’s current-charge generation rate
Results and Discussion
Subsequently, the control mechanism of the rotor which is artificial neural network (ANN) has revealed the maximum geothermal energy point tracking that is
connected into the electric circuit [42–44]. Interestingly, the implemented electric
circuit suggests that the produced volts near the MPP within changed thermal conditions deliver the maximum energy (I = current) which is characterized by the V–I
relationship as follows neglecting the internal shunt resistance in order to use it as
the electricity energy [45–47]:
Fig. 4.6 The rate of energy generation calculated from the geothermal energy in the generator by
the reheat process
Fig. 4.7 The current-charge and power-voltage generation in the generator cell in relation to the
MPP and the cell’s current-charge generation rate
Results and Discussion