Abstract: A method includes collecting energy resource data for the specific geographic location over a predetermined time period, calculating power curves and matrices for at least two energy technologies based on the collected energy resource data, estimating the potential of generated electric power over time of the at least two energy technologies based on the calculated power curves and matrices, the time period, and the characteristic parameters of each of the at least two energy technologies, simulating different base load and power variations based on the estimation of the potential generated electric power and different distribution of the electric power generation of the at least two energy technologies, identifying an optimal distribution of the at least two energy technologies by analyzing the base load and power variations for each simulation, and choosing the distribution of the electric power generation with the highest base load and lowest power variation.

Abstract: The invention relates to a method for generating sound for a rotating machine, including a step (E1) of determining the frequencies and amplitudes of n partials and/or harmonics (i) pertaining to the sound of a rotating machine, characterized in that the method includes a step (E2) of determining values (a1) and a step (E7-E8) of calculating a synthetic sound for the rotating machine, said synthetic sound being composed from the n partials and/or harmonics (i), while the frequency thereof is entirely or partially shifted by the values (ai).

Abstract: The invention relates to a method for generating sound for a rotating machine, including a step (E1) of determining the frequencies and amplitudes of n partials and/or harmonics (i) pertaining to the sound of a rotating machine, characterized in that the method includes a step (E2) of determining values (a1) and a step (E7-E8) of calculating a synthetic sound for the rotating machine, said synthetic sound being composed from the n partials and/or harmonics (i), while the frequency thereof is entirely or partially shifted by the values (ai).