Research on the typical meteorological year data of Shanghai for the building energy consumption calculation

Taking a teaching building in Tongji University in Shanghai as an object, compares the annual energy consumption calculated by the EnergyPlus with the test data. Studies the reliability of the five sets of typical meteorological year data, and deduces the conclusion that CTYW data is the closest to the actual situation. Analyses major influencing factors such as outdoor temperature, humidity and solar radiation, and points out that the difference between the five sets of data is resulted from the lack of observed values and inaccurate statistical processing models, especially the defect of solar radiation model.