Development and research on energy performance assessment method of heat-exchanging stations based on real data

Abstract

In this paper the author collected heat consumption data of 170 heat-exchanging stations in Beijing and the influencing factors such as heating time, heating area, equipment information, outdoor weather and so on. By means of sample selection, influencing factors selection, regression analysis, statistical validation (R2 test, F test, t-test, student residuals test, etc.), and model comparison (six regression models are established in this paper), a heat consumption benchmark model for Beijing thermal power station was established. At last the author drew lessons from the method of Energy-Star, by fitting the GAMMA curve established the evaluation system. In this evaluation system a percentage system (1–100 points) was drawn up, any thermal station could directly find out whether its operation was efficient or not by scoring.The heat consumption benchmark model established in this paper could calculate the heat consumption datum of any heat-exchanging station according to its own characteristics, and realize “one station one benchmark”. The evaluation system could make the evaluation of heat Consumption of heat-exchanging station more objective and scientific.The heat consumption benchmark model and evaluation system established in this paper provided theoretical and technical support in promoting the efficient operation of the heating system and discovering the potential of energy-saving transformation of the heat-exchanging station.The results of this paper would be applied to the operation and management system of the thermal station, and could be demonstrated and popularized in China in the future.