Abstract: Based on the diurnal meteorological data with 4 hours interval from November 1, 2009 to March 31, 2010 such as temperature, air pressure, relative humidity, precipitation, wind speed, sunshine duration and cloud cover etc. and the simultaneous heating data including temperature of supply water and backwater, a forecast equation was established in Shenyang by a multi-regression method. A heating meteorological forecast index was developed and it could be used to determine the heating load. The results show that the heating meteorological forecast index could be divided into 7 levels if the indoor temperature must reach 18 ℃ . The trends of predicted temperature of supply water and backwater and outdoor air temperature are close, while the trends of the real temperature of supply water and backwater and outdoor air temperature are different. The number of days that the trend of the real temperature of supply water and backwater is similar to that of outdoor air temperature is only 60 days and accounts for 40% of heating period (151 days). The application of the heating meteorological forecast method could improve the quality of heating, control high-energy-consuming and high-emission and provide scientific references for the corresponding department.

Key words: Energy saving by the meteorological method, Heating index in winter, Heating load