Miroslava Smitkova

OPTIMIZED AND NUMERICAL MODELS OF ELECTROMECHANICAL DEVICES COUPLED WITH COMPUTATION OF PERFORMANCE CHARACTERISTICS

Abstract The method of genetic algorithms is used to optimize the efficiency factor of two objects: single a phase shaded pole motor and the main inductor for an LCL filter, aimed for independent operation. By varying the construction parameters, three motors and two inductor models have been designed and optimized. The optimized motors exhibited a gradual increase of the efficiency factor achieved for the same input power. Also an increased output power has been achieved, which considerably improved the low efficiency factor for this type of the motor. The optimized filter models have an increased efficiency due to the lower losses and a decreased warm-up. All models are evaluated by the finite element method, which allows to plot the magnetic flux density distribution in the cross section and hereby the possible weak parts of the construction with a high flux density can be discovered.

Life cycle analysis of the hydrogen production

The paper deals with the hydrogen production and comparison of the impact of the different processes for hydrogen production via life cycle analysis. Four processes were evaluated and compare - two water splitting thermo-chemical cycles which use solar energy as a main energy source and two conventional processes for hydrogen production, pyrolysis and gasification. Main impact categories, which were evaluated, are human health, ecosystem quality, and the saving of primary energy resources.