Study on Evaluation System of Thermal Power Plant Construction Projects Based on Low-Carbon Economy

2011 ◽  
Vol 71-78 ◽  
pp. 2458-2464
Author(s):  
Dong Xiao Niu ◽  
Xiao Hua Song ◽  
Lan Mou ◽  
Cai Qin Ye ◽  
Fang Fang

Effective management and control of carbon emission from thermal power generation is essential for the development of low-carbon economy. In order to establish a comprehensive evaluation model for thermal power plant construction projects under the requirements of low-carbon economy development, this paper firstly analyzed the evaluation objects of thermal power plant projects based on low-carbon economy, then built the evaluation index system of thermal power projects based on that analysis, moreover, by applying Grey AHP method, the comprehensive evaluation model also was built. This evaluation system provides a reference to the evaluation of low-carbon development of thermal power projects.

2011 ◽  
Vol 66-68 ◽  
pp. 631-636
Author(s):  
Ye Zhou ◽  
Zhi Song Ye ◽  
Yun Zhu Wang

The low-carbon economy becomes a hot issue in every country after Copenhagen’s meeting, and Logistics enterprise is an important economic entity to achieve a low carbon economy, so how to effectively evaluate the effect of logistics enterprises and low-carbon benefits of emission reduction become a problem that really needed to solve. Therefore, it evaluated the effects of low-carbon benefits of logistics respectively from the economic benefits, logistics operational efficiency and CO2 emission reduction by AHP. Based on it, logistics enterprise evaluation model of low-carbon benefits was built in the way of fuzzy comprehensive evaluation, and finally verified the effectiveness of the evaluation system with a case.


2013 ◽  
Vol 662 ◽  
pp. 999-1004
Author(s):  
Chao Li ◽  
Cai Qin Ye ◽  
Lan Mou

Under the background of low-carbon economy, it is necessary to modify and improve the existing economic benefits evaluation system for the construction projects of power generation industries. This paper firstly built an economic benefit evaluation index system for power generation projects based on low-carbon financial benefits and carbon-emission reduction efficiency. Then, it established an economic benefits evaluation model which uses entropy and AHP to determine combined weights, and Gray Relation Method for comprehensive evaluation. Finally, the empirical analysis of the construction of wind power projects verified the feasibility and effectiveness of the evaluation model.


2013 ◽  
Vol 291-294 ◽  
pp. 1562-1567
Author(s):  
Ji Min Hu ◽  
Jian Long Gu ◽  
Chang Cui Hu ◽  
Hai Feng Wang

According to indicators’ information repetition and subjectivity of the indicators’ weight set during the variable fuzzy comprehensive evaluation, Principal Component analysis can help solve the weight of the relative indicators and reduce comprehensive evaluation dimensions of the variable fussy comprehensive evaluation. This paper has made a comprehensive evaluation of the status quo of Yunnan’s low carbon economy development(2005-2009), which turns out to be more practical compared with the mere variable fussy theory analysis, thus, principal component-variable fuzzy evaluation is a kind of feasible way to analyze the regional low carbon development status.


2014 ◽  
Vol 962-965 ◽  
pp. 2347-2350 ◽  
Author(s):  
Rong Hua Chen

Developing low-carbon economy is an inevitable choice for China. This paper builds an evaluation index system of low-carbon economy and uses the fuzzy comprehensive evaluation model to evaluate the development level of China’s low-carbon economy. Then, according to China's actual conditions, some proposals are put forward accordingly.


2014 ◽  
Vol 602-605 ◽  
pp. 3494-3497
Author(s):  
Cang Chen ◽  
Hai Sheng Liu

Rough Set Theory is a mathematic tool which mainly deals with the uncertain knowledge. In this paper a new comprehensive evaluation model of low carbon economy based on rough set is formed. At last, the results of comprehensive evaluation of low carbon economy of 6 provinces based on this model are obtained which show this method is effective and feasible.


2013 ◽  
Vol 448-453 ◽  
pp. 4514-4519
Author(s):  
Xiu Rong Liu

Low-carbon economy is based on low energy consumption, low pollution, low emission economic model . Through clean production, automobile enterprises start from the source to improve resource and energy efficiency, reduce emissions, increase the utilization of waste and ultimately to conserve resources and protect the environment. Therefore, Through the analysis of input and output factors of clean production on automobile enterprises, this paper constructed input and output index comprehensive evaluation system of the clean production under low-carbon economy and through comprehensive evaluation, automobile enterprises implement effective management, and it can achieve the economic,social and environmental benefits of clean production.


2017 ◽  
Vol 14 (1) ◽  
pp. 157-161
Author(s):  
Xie Jing ◽  
Xu Na ◽  
Zhang Lin

Due to the increase in global carbon dioxide emissions, climate change, rising sea levels and other issues have become increasingly prominent. In the three major industries, industrial emissions of carbon dioxide accounted for the largest proportion of the total emissions. Developing a low-carbon economy, especially with regard to industrial low-carbon economy, has become the only way for Chinese society to achieve sustainable development. Building a scientific evaluation system of a low-carbon economy is an essential way to assess the level of regional industrial low-carbon economy comprehensively and correctly. In this paper, we establish the Hebei low-carbon economy Evaluation System based on DSR model, according to the industrial carbon economic development in Hebei Province, using factor analysis to obtain the main factors affecting the low-carbon economy in Hebei Province, establishing extended model, then propose measures for Hebei industrial low-carbon economic development.


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