Applicability of the transfer function method and periodic response factors method in coincident design weather data generation

The coincidence of design weather data means the simultaneous occurrence of design weather elements. Correlative studies have indicated that the generation of coincident design weather data (CDWD) is affected by the building parameter characteristics and indoor cooling load. The transfer function method and periodic response factor method are commonly used to calculate the indoor cooling load. In previous studies on CDWD generation, the transfer function method was primarily used to calculate the cooling load, as it reflects the actual thermal process more accurately. However, the periodic response factor method may have more significant advantages, as it matches better with practical engineering application method. There no researcher has proposed the CDWD generation method based on the periodic response factor method, or has evaluated the applicability of the transfer function method and periodic response factor method in the study on CDWD generation. In this study, taking the accuracy of cooling load calculated by the generated CDWD as evaluation index, the applicability of transfer function method and periodic response factor method in the generation of CDWD was evaluated. The results show that for the practical engineering application, the correct rate of CDWD generated based on the periodic response factor method is significantly higher than that based on the transfer function method. Moreover, there is no significant difference between the design cooling load calculated based on the transfer function method and that based on the periodic response factor method. The conclusion indicates that the periodic response factor method is more applicable for the generation of (and engineering applications regarding) CDWD.