期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：153
期号：2
页码：022028
DOI：10.1088/1755-1315/153/2/022028
语种：English
出版社：IOP Publishing
摘要：CNG secondary filling station is a critical infrastructure in CNG industry. By data mining, it is found that there are energy inefficient refilling behaviors with abnormal small volume, higher initial pressure, lower final pressure, or tiny change in pressure. Therefore, an energy efficient system of CNG secondary filling station is provided by reducing these abnormal inefficient actions in this article. The performance of the provided system is measured by analyzing the statics of these abnormal behaviors. It is found that if the abnormal inefficient refilling behaviors were avoided, the efficient system of CNG secondary filling station will be improved by no less than 12.937 percent.
