以杭州绿色建筑科技馆被动通风系统为对象，根据被动通风原理初步确定对象模型的输入和输出，通过分析采集到的各种气候条件下的被动通风系统数据的相关性，验证模型的输入选择正确性，并经辨识建立了被动通风的多输入数学模型；然后，采用理论和实践方法验证了模型的一致性；最后,根据网站提供的部分天气预报参数，预测出第二天的办公室内温度，从而验证了该模型可以合理确定有源空调的开启时间，达到节能的目的.

This paper focuses on the passive ventilation system modeling for Hangzhou Science and Technology Pavilion of Green Architecture. The input and output variables of the model are determined according to the passive ventilation principles and the correlation analysis among the input and output data under various climatic conditions. The passive ventilation model with multiple inputs is built. Its consistency is validated theoretically and experimentally. Office temperature of the next day is predicted depending on the weather forecast parameters obtained from the Internet. Thus, precise time to start airconditioning systems can be determined for energy efficiency.