Fuzzy Comprehensive Evaluation Method for Energy Management Systems Based on an Internet of Things

被引：60

作者：

Li, Yan ^{[1
]}

Sun, Zhiduo ^{[1
]}

Han, Liang ^{[1
]}

Mei, Ning ^{[1
]}

机构：

[1] Ocean Univ China, Qingdao 266100, Peoples R China

来源：

IEEE ACCESS | 2017年 / 5卷

基金：

中国国家自然科学基金;

关键词：

Analytical hierarchy process; energy management; fuzzy comprehensive evaluation method; Internet of Things; FRAMEWORK; INDUSTRY; CHINA;

D O I：

10.1109/ACCESS.2017.2728081

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An energy management system (EMS) that is augmented by Internet of Things (IoT) is introduced. Using IoT technology, real-time energy-consumption data can be efficiently collected and analyzed, leading to an improved awareness and evaluation of the energy consumption of manufacturing processes. The architecture and function of the IoT-based EMS are introduced. Because the existing monitoring standard for energy conservation de fines only the minimum evaluation criterion, the result is eitherqualified or unqualified. Fully characterizing the energy consumption of industrial energy-intensive equipment is challenging. For this reason, this paper constructs a comprehensive evaluation model for monitoring industrial energy conservation. An evaluation index for industrial energy-intensive equipment is proposed. Then, by integrating an analytic hierarchy process and a fuzzy comprehensive evaluation method, a method is provided for an IoT-based industrial EMS to fully evaluate the operational level of energy-intensive equipment. Finally, a case study is provided to verify the effectiveness of this method.

引用

页码：21312 / 21322

页数：11

共 28 条

[1] Extending the energy efficiency gap [J].