An Energy Efficiency Assessment Method Based on Grey Correlation Degree Analysis for Transport Airports

2012 ◽  
Vol 616-618 ◽  
pp. 1195-1201 ◽  
Author(s):  
Jing Jie Chen ◽  
Shu Jie Qian

Energy consumption for today's transport airports is a complex system by a number of factors, and the research on energy efficiency assessment methods for transport airports is still in the initial stage at present. Energy efficiency evaluation index system for transport airports has been established. Analytic Hierarchy Process and Grey Correlation Analysis is applied to make a comprehensive evaluation to the energy consumption of transport airports. As a result, the potential for sustainable development of the airports has been dig out and some viable energy-saving measures has been found out.

2020 ◽  
Vol 218 ◽  
pp. 01046
Author(s):  
Kuihua Wu ◽  
Zhijie Zheng ◽  
Lujie Qi ◽  
Rong Liang ◽  
Bo Yang

At present, there is a lack of regional comprehensive energy multi-dimensional evaluation system and calculation of different quality energy in the energy efficiency evaluation of regional integrated energy system. Based on this, this article carries out research on multi-dimensional energy efficiency evaluation index system and evaluation methods. First, this article form quantifiable evaluation indicators from the aspects of energy supply subsystem energy efficiency, energy conversion subsystem energy efficiency, grid energy efficiency, economic benefits and social benefits, and clarify the calculation methods of each evaluation indicator. Then this article calculate the indicator combination weight. Finally, a multi-dimensional energy efficiency assessment method for a regional integrated energy system is proposed, and an example is used to prove the effectiveness of the method.


2021 ◽  
Vol 252 ◽  
pp. 03054
Author(s):  
Yuanming Jia ◽  
Yiying Zhou ◽  
Hongmei Deng ◽  
Jing li

In the process of decision on technical solution to vapor recovery of refined oil terminals, the grey-correlation analysis (GCA) is introduced to optimise technical solutions by building a multi-target decision model and using the sequencing of weighted grey-correlation degree (GCD) of evaluation solution as judgment criteria, to determine the priorities of solutions, and the effectiveness of the decision method is verified by a practical example.


2020 ◽  
Vol 10 (11) ◽  
pp. 3820 ◽  
Author(s):  
Xiangyu Kong ◽  
Shijian Zhu ◽  
Xianxu Huo ◽  
Shupeng Li ◽  
Ye Li ◽  
...  

Various countries in the world are vigorously developing energy-saving industries and attaching importance to the improvement of household energy efficiency, but it is difficult to evaluate user power consumption characteristics due to insufficient information and large data granularity. It is, however, possible to evaluate the energy efficiency of household users via non-intrusive load monitoring (NILM). This paper explores the energy efficiency assessment of residential users and proposes a household energy efficiency assessment method based on NILM data. An energy efficiency assessment index of residents is provided by analyzing factors that affect residents’ energy efficiency. This index is clear, operable, and easy to obtain and quantify. Based on NILM information, clustering, and comprehensive evaluation, as well as combining the entropy weight method with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), a user’s energy efficiency can be evaluated and analyzed. Some case studies are provided to verify the validity of the proposed method based on non-intrusive information, to analyze the characteristics and deficiencies of the user’s energy consumption, and to give corresponding energy recommendations.


2015 ◽  
Vol 752-753 ◽  
pp. 1384-1392
Author(s):  
Bang Lei Wu ◽  
Xiao Juan Chen ◽  
Jing Yu ◽  
Qing Sun

With application of intelligence technology in the manufacturing industry, the supply chain of manufacturing industry is more and more competitive. Strategic supplier is becoming more and more key element for the success of manufacturing enterprise. At present, there are many methods on selection and evaluation of strategic supplier of manufacturing enterprise. Analytical hierarchy process and grey correlation analysis is method which is used to choose strategic supplier of manufacturing enterprise by building optimum reference date and solving grey correlation degree. These have great effects in the enterprise practice in the aspects of qualitative diagnosis, quantitative diagnosis and grey information processing.


2014 ◽  
Vol 668-669 ◽  
pp. 1605-1610
Author(s):  
Li Hua Ke ◽  
Yu Liu ◽  
Yi Cheng Ye

In order to solve the problems such as low production capacity, high production costs and insufficient resources utilization in Wulongquan mine, the method of grey correlation analysis has been adopted to analyze the main affecting factors about mine production cost. Considering the changes and tendency of these time sequences, grey absolute correlation degree has been used to reflect the strong-weak degrees and orders of the relationship between reference sequence and comparison sequences better based on non-dimensional values. According to the calculating results, labor cost, depreciation cost and materials cost is main factors. So some appropriate measures have been put forward to control total cost.


2015 ◽  
Vol 740 ◽  
pp. 943-946
Author(s):  
Zhang Zhai ◽  
Dan Gui ◽  
Xiao Guang Xu ◽  
Jian Wei Gao

The evaluation of grid communication resources investment plays an important role in planning and investment decision-making. This paper first develops a comprehensive evaluation index system by combining the practical work of grid communication investment with the significant benefits, such as communication technology upgrade and service capacity building. Furthermore, based on this index system, we construct an evaluation model by screening effective alternative based on the method of DEA (data envelopment analysis), moreover, we determine the index weight by using improved grey correlation degree method. Finally, we provide an example of Henan Electric Power Communication Company to examine our model. The results show that the model is feasible and effective.


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