The article, published in one of the most distinguished journals in the field of energy, presents a simulation study on the extended model of a fuel-cell power unit. It consists of fuel-cell stack, power converter and battery models and predicts unit’s key values. The possibility of using the battery as intermediate energy storage is discussed, and a control strategy for improving the operation parameters is proposed. The main contributions are a) extension of the fuel-cell stack model with models of power converter and battery, b) a control strategy based on supervisory control automaton, which monitors load consumption and battery state of charge, and calculates optimal operating point in terms of the stack efficiency, the impact of working conditions on stack degradation and the battery state of charge, c) calculation of the cumulative effect of working conditions to stack degradation according to the specifications of the real system, and d) evaluation of the control system according to the above parameters in comparison with conventional control approaches.
COBISS.SI-ID: 24858151
This contribution deals with the problem of reliably determining the quality of the product based on the "measured" size of the faults, which occur during the manufacturing process. The original contribution is the module for quality assessment of the final product. The results of the analysis are the end-quality assessment of the product (in our case an electric motor) and the location of any faults with their corresponding probabilities. An important feature that distinguishes our system from the rest is a novel module, which relies on a hierarchical calculation of the overall quality of the electric motor on the basis of assessed quality of the individual components. The article presents the laboratory implementation of the prototype, including experimental results obtained on 130 motors.
COBISS.SI-ID: 24756775
A mathematical model was designed for an industrial, semi-batch polymerization reactor, which describes the chemical reactions and heat balances in polymerization process. The model predicts the course of temperature in the reactor as a function of adding reagents, and key output parameters of the final product, such as conversion, solids content and viscosity. The main contributions are the integration of the two models - the chemical reaction and the energy balance model, the validation of the model on real-plant data from industrial operation, and the analysis and design of control algorithms for on-line dosing of reacting chemicals, which preserve reactor temperature close to the desired set-point and so contribute to uniform product quality. The designed reactants dosing control represents an original solution for polymerization reactors, where reactor cooling is performed only through evaporative cooling. The desired control performance was proved by simulation based on real-plant data and also experimentally on an industrial polymerization reactor.
COBISS.SI-ID: 24978727