| Summary: | 碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系碩士班 === 101 === The Fast Fourier Transform was applied in this thesis. Various parameters that have impact to building energy were used in the analysis. Energy use data were transformed from time domain into frequency domain. This thesis successful developed the periodicity and the spectrum of various parameters. The amplitude and the phase of variety frequencies were determined in the study. The periodic parameter model was built by conducting analysis on the building energy computation results. The periodicity of building peak energy demand was also discussed.
Through the Fast Fourier Transform, data could be transform form time domain into frequency domain. Therefore the time variation of the parameters can be simulated by recombination of sinusoidal functions. Each sinusoidal function has its own frequency, amplitude and phase. The correlations between various parameters were determined and the parameters were also modeled mathematically.
In order to acquire annual hourly building energy data, eQUEST (the QUick Energy Simulation Tool) was applied to build a 3D model for an actual building case. The annual hourly energy data was used to verify the validity of Fast Fourier Transform model. Coefficient of determination (R2) was used to evaluate the validity of the models. The Fast Fourier Transform models including weather conditions, building thermal load, and energy consumption. R2 of the models were found to be higher than 99%.
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