空调设计用同时发生室外气象参数生成模型优化[摘 要] 提出了不同不保证

Simultaneous outdoor meteorological parameter generation model optimization for air-conditioning design <br>[Abstract] A simple method of correcting indoor peak heat gain to peak load under different non-guaranteed rates is proposed, which provides a heat gain model for generating load models with simultaneous meteorological parameters. Basic basis. This method is based on the z-transfer function method and the radiation time series method to calculate the indoor peak heat gain and peak load respectively, analyzes the influence of different parameters on the "difference rate" between the peak heat gain and the peak load, and gives a correction from the indoor peak heat gain Correction table and correction method for peak load. Based on Monte Carlo method, 480,000 parameter combinations were randomly selected to verify the correction table. The results show that in the north, southwest, west, and northwest directions, the corrected "difference rate" of all combinations is within ±2%, and the corrected "difference rate" is within ±1% for 99.5%; others In the direction, the revised "difference rate" of all combinations is within -2.5~4%, and the revised "difference rate" is 97% within ±1%. <br>[Keywords] Simultaneous meteorological parameters; correction; optimization; z-transfer function method; radiation time series method

The air conditioning design is optimized to generate models with outdoor meteorological parameters that occur at the same time.<br>A simple method of heat-fixing from indoor peak to peak load under different non-guaranteed rates is proposed, which provides a basic basis for the optimization of the thermal model of the load model that produces meteorological parameters at the same time. Based on the z-transfer function method and the radiation time series method, the indoor peak is worth heat and peak load respectively, the influence of different parameters on the "difference rate" between peak and peak load is analyzed, and the correction table and correction method of the peak is adjusted by the indoor peak to the peak load. The correction table was verified based on the Monte Carlo method when 480,000 parameter combinations were randomly selected. The results showed that in the north, southwest, west and northwest, the revised "difference rate" of all combinations was within .2%, and the combined "difference rate" of the revised "difference rate" was 99.5% under .1%, while in other directions, the revised "difference rate" of all combinations was within -2.5 to 4%, and the revised "difference rate" was 97% within .1%.<br>Simultaneous meteorological parameters occur; correction; optimization; z-transfer function; radiation time series method.

Optimization of simultaneous outdoor meteorological parameters generation model for air conditioning design<br>[Abstract] a simple method is proposed to modify the indoor peak value heat to peak value load under different uncertainty rates, which provides the basic basis for generating load model with simultaneous meteorological parameters and optimizing heat gain model. Based on the Z-transfer function method and radiation time series method, the indoor peak heat and peak load are calculated respectively, and the influence of different parameters on the "difference rate" between peak value heat and peak load is analyzed, and the correction table and correction method from indoor peak value heat correction to peak value load is given. Based on Monte Carlo method, 480000 parameter combinations were randomly selected to verify the correction table. The results showed that in the north, southwest, West and northwest directions, the corrected "difference rate" of all combinations was within ± 2%, 99.5% of the modified "difference rate" was within ± 1%; in other directions, the modified "difference rate" of all combinations was within - 2.5 ~ 4%, and that of the modified "difference rate" within ± 1% was 97%.<br>[Key words] simultaneous meteorological parameters; correction; optimization; Z-transfer function method; radiation time series method<br>