提出了将室内峰值得热量修正成峰值负荷的简便方法，为生成同时发生气象参数

A simple method of correcting the indoor peak heat gain to peak load is proposed, which provides a basic basis for generating the "load model" of simultaneous meteorological parameters to optimize the "heat gain model". <br><br>The indoor peak heat gain and peak load are calculated separately by this method based on the z-transfer function method and the radiation time series method, in order to analyze the influence of different parameters on the "difference rate" between the peak heat gain and peak load, and give the indoor Peak heat gain is corrected to peak load correction table and correction method. <br><br><br>480,000 parameter combinations are randomly selected based on Monte Carlo method to verify the correction table. It can be concluded from the results that in the north, southwest, west and northwest directions, the revised "difference rate" of all combinations is within ±2%, of which 99.5% of the combinations are within ±1%, while others In the direction, the "difference rate" is within -2.5~4%, of which 97% of the combinations are within ±1%. <br>[Keywords] Simultaneous meteorological parameters; correction; optimization; z-transfer function method; radiation time series method

A simple method to correct the indoor peak heat to peak load is proposed, which provides the basic basis for the optimization of the "load model" of the simultaneous meteorological parameters to the "heat inglis model".<br><br>Indoor peak soramount heat and peak load are calculated separately by the method based on z-transfer function method and radiation time series method, in order to analyze the influence of different parameters on the "difference rate" between peak and peak load, and give a correction table and correction method of the heat-worthy heat correction to peak load.<br><br>The 480,000 parameter combinations were randomly selected based on the Monte Carlo method to validate the correction table. From the results, in the north, southwest, west and northwest, the revised "difference rate" of all combinations is within .2%, of which 99.5% of the combinationised within .1%, while in other directions, the "difference rate" is within -2.5 to 4%, of which 97% of the combination is within .1%.<br>Simultaneous meteorological parameters occur; correction; optimization; z-transfer function; radiation time series method.

A simple method to modify indoor peak value heat to peak value load is proposed, which provides a basic basis for generating "load model" with simultaneous meteorological parameters and optimizing "heat gain model".<br>Based on the Z-transfer function method and radiation time series method, the indoor peak value heat and peak load are calculated respectively, so as to analyze the influence of different parameters on the "difference rate" between peak value heat and peak load, and give the correction table and correction method from indoor peak value heat to peak value load.<br>480000 parameter combinations were randomly selected based on Monte Carlo method to verify the correction table. It can be concluded from the results that in the north, southwest, West and northwest directions, the modified "difference rate" of all combinations is within ± 2%, among which 99.5% of the combinations are within ± 1%, while in other directions, the "difference rate" is within - 2.5 ~ 4%, and 97% of the combinations are within ± 1%.<br>[Key words] simultaneous meteorological parameters; correction; optimization; Z-transfer function method; radiation time series method<br>