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    • 2. 发明专利
    • Computer-aided method for simulating the operation of an energy system, and energy management system
    • AU2020211656A1
    • 2021-06-17
    • AU2020211656
    • 2020-01-02
    • SIEMENS AG
    • THIEM SEBASTIAN
    • G06F30/20G06F113/08G06Q10/06G06Q50/06
    • A computer-aided method for simulating the operation of an energy system (1) having at least one component (11,..., 19) is proposed that comprises at least the following steps: - modelling the energy system (1) as an optimization problem, wherein the optimization problem has at least energy consumptions and energy outputs of the component (11,..., 19) and respective shadow prices associated with the energy consumptions and energy outputs as optimization variables; - calculating the energy consumptions, the energy outputs and the respective associated shadow prices by numerically solving the optimization problem; - calculating a first sum by means of a sum of the energy consumptions that is weighted with the associated shadow prices; - calculating a second sum by means of a sum of the energy outputs that is weighted with the associated shadow prices; - calculating an incorrect dimensioning variable for the component (11,..., 19) by subtracting the second sum from the first sum, and by using the investment costs and operating costs of the component (11,…, 19); and - ascertaining an overdimensioning or underdimensioning of the component (11,…, 19) on the basis of the calculated incorrect dimensioning variable. Furthermore, the invention relates to an energy management system for simulating the operation of an energy system (1) having at least one component (11,…, 19).
    • 9. 发明专利
    • Solving seasonal velocities simulation problems using evolutionary computing techniques for tidal turbine blades
    • AU2021100670A4
    • 2021-04-22
    • AU2021100670
    • 2021-02-03
    • SUHAS KULKARNI SIDDHARTH DRVYAS AKANKSHA
    • SUHAS KULKARNI SIDDHARTHVYAS AKANKSHA
    • F03B13/26G06F30/28G06F113/08
    • Our Invention "Solving seasonal velocities simulation problems using evolutionary computing techniques for tidal turbine blade" is a method or closed loop system for solving seasonal tidal current velocity problems to obtain optimal power efficiency throughout the year is provided for tidal turbine blades. The method may include receiving geometric, engineering and analysis rules associated with tidal turbine model. The method may also include configuration of tidal turbine blade design systems, and production of automated design engineering solutions, through the common computational modelling. The method may then include dynamic design engineering automation from conceptual to detail design, analysis and optimisation of any tidal turbine blade. The method may further include reduction of human interaction or dependency during the geometric modelling, and simulations of seasonal velocities of tidal turbine blades. The method may further include optimisation of the tidal turbine blade to produce higher power efficiency throughout the year for any chosen Tidal site location, where in the method comprises of a genetic algorithm. The method may also include a design, analysis, and optimisation interface to produce effective multi-disciplinary visualisation from the simulation and optimisation data. Processor 1rG neic Opi IsationO linial closed loop program Fig. 1 Structure of the common computational modelling architecture for tidal turbine blades