Title :
A dispatch method of air compressors based on forecasting consumption
Author :
Fu, Xiangheng ; Kong, Dewen ; Song, Rongzhi ; Shi, Yan ; Cai, Maolin
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
Pneumatic system operation status and problems were analyzed in the industrial production site; Considering the 24 hours as a time unit, the feature of compressed air consumption was studied every 20 seconds in 24 hours in the industrial production site. Then, presenting a forecasting method, which is workable and the overall mean in line with air consumption changes in the law. This forecasting method is for the purpose of the operation dispatching of air compressors in the industrial site, and the forecasting accuracy meets the requirement of air compressors operation dispatching. Finally, with the forecasting consumption of compressed air, a optimal scheduling algorithm of compressor group is given.
Keywords :
compressors; energy consumption; forecasting theory; pneumatic systems; queueing theory; scheduling; air compressor dispatch method; air consumption change; compressed air consumption; forecasting consumption; forecasting method; industrial production site; optimal scheduling algorithm; pneumatic system; time 20 s; time 24 hour; Atmospheric modeling; Compressors; Forecasting; Mathematical model; Pneumatic systems; Predictive models; Production; energy-saving; forecast model; neural network; optimal scheduling; pneumatic system;
Conference_Titel :
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0312-5
DOI :
10.1109/INDIN.2012.6301381
