Research on the Benefit Evaluation of Energy Saving and Emission Reduction of Drop-and-Pull Transport

2014 ◽  
Vol 505-506 ◽  
pp. 554-557
Author(s):  
Wan Jing Tao ◽  
Bin Zhan ◽  
Meng Wang

Along with the development of industrialization and urbanized advancement, the highway transportation profession is increasingly important in the economy and society. However, it will lead to issues such as energy consumption and environmental pollution, which restricts the sustainable development of economy, society, environment and other resources. Therefore, optimizing transportation form of the road transport, strengthening energy conservation management, is of great practical significance to improve the efficiency of energy utilization, to protect environment, to facilitate the sustainable development of society.This article combined with the relationship between drop-and-pull transport and energy saving and emission reduction, used the analytic hierarchy process and fuzzy comprehensive evaluation model to evaluate the effectiveness of energy saving and emission reduction of drop-and-pull transport.

2014 ◽  
Vol 587-589 ◽  
pp. 86-91
Author(s):  
Ri Jia Ding ◽  
Lu Yin

With respect to mining area, to establish an evaluation system that aims to reflecting its actual condition and assessing its sustainable development ability has been of importance. In this paper, we discussed the meaning of sustainable development and evaluation factors, and then built a fuzzy comprehensive evaluation model to evaluate the sustainable development condition of mining area.


2020 ◽  
Vol 12 (5) ◽  
pp. 2102
Author(s):  
Zhiqiang Liu ◽  
Hejun Liang ◽  
Dongping Pu ◽  
Fei Xie ◽  
E Zhang ◽  
...  

As one of the most important grain protection policies in China, the minimum purchase price policy prevents the fluctuation of grain output and protects the interests of farmers by regulating the prices of major grain varieties. For developing countries with a shortage of agricultural resources, represented by China, an in-depth study on the implementation effect and public satisfaction of this policy is of great significance for promoting the sustainable development of the grain industry. Based on the interest demands of the government, farmers, grain enterprises and consumers, this paper constructs a policy satisfaction evaluation model based on the Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation. The research shows that the implementation effect of this policy has promoted the sustainable development of China’s grain in four aspects: improving farmers’ enthusiasm for planting, optimizing the structure of supply and demand, reducing the adverse impact of disasters, and ensuring the steady increase of output. However, due to the differences in natural resources and folk customs, the implementation effect of this policy varies in different regions.


2012 ◽  
Vol 616-618 ◽  
pp. 1180-1184
Author(s):  
Zhi Ming Xie ◽  
Zhi Min Jiang

Using fuzzy comprehensive evaluation(FCE), from road transport enterprise organization system, vehicle technology management, road condition, organization and scheduling, energy saving and emission reduction targets and energy saving and emission reduction technology promote six aspects to carry on the evaluation, and useing an example to explain it. This will have important significance to the road transport enterprises in energy-saving emission reduction work.


2018 ◽  
pp. 172-182 ◽  
Author(s):  
Shengmin CAO

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.


2018 ◽  
Vol 8 (9) ◽  
pp. 1564 ◽  
Author(s):  
Si Li ◽  
Dongxiao Niu ◽  
Luofei Wu

China’s electricity market is in the environment for a round of new electric power reform, energy planning and transformation and the carbon market construction. The current market players are in urgent need of implementing their own energy saving and emission reduction actions. Relatively extensive and systematic researches on the assessment of the energy saving and emission reduction effects for the power plants, power grid companies, and technical equipment have been carried out at home and abroad. However, there are still vacancies in the researches on those for electricity retailers emerged on the sales side. Based on the carding and analysis of related policies and guidance, in this paper, relevant indicators are considered to build the evaluation indicator system of the energy saving and emission reduction effects for electricity retailers. The combination weights are gained by means of analytic hierarchy process and entropy weight method. Then, after the combined empowerment of indicators, the multi-level fuzzy comprehensive evaluation of energy saving and emission reduction effects for electricity retailers is conducted. Finally, choosing 10 electricity retailers (numbered from A to J) as evaluation objects, this model is used for obtaining the evaluation results and ranking of energy saving and emission reduction effects of electricity retailers, which provides reasonable ideas for the construction of evaluation indicator system and effective comprehensive evaluation methods of energy saving and emission reduction effects for market players in the electricity sales side. The results of example analysis show that, from a single dimension, the best electricity retailers in market transactions, technical means, integrated energy services, management system, and social responsibilities are followed by B, J, D, G, C, or I. However, from a global perspective, the sorted evaluation results are D, J, I, A, H, G, E, B, F, and C, which reflects the overall energy saving and emission reduction effects of electricity retailers through the two-level fuzzy comprehensive evaluation.


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.


2011 ◽  
Vol 281 ◽  
pp. 211-214
Author(s):  
He Rui Cui ◽  
Lu Chen ◽  
Da Fang Qiu

Thermal power industry promotes economic development in a high speed, and it also brings the problem of resources and the environment. Building the evaluation index system of the thermal power plants’ ability of energy saving and emission reduction, we made use of the analytic hierarchy process to determine the weight. And the fuzzy comprehensive evaluation was applied to a thermal power plant in Shandong Province. We obtain following conclusion: the primer factor which confines its ability of energy conservation and emission reduction is pollutant emission. On this basis, we put forward the specific implementation measures from fiscal policy, tax policy and monetary policy, aim is to accelerate the development of China’s energy saving and emission reduction.


2010 ◽  
Vol 26-28 ◽  
pp. 20-24 ◽  
Author(s):  
Wei Jun Wang ◽  
Chang Huan Tu

Enterprise sustainable development emphasizes coordination of the development of economy, environment and society. The life cycle cost based on the sustainable development controls the engineering cost as well as environmental pollution and damage. The thermal power plant burns large amount of fossil fuels and discharge pollutants which cause serious pollution. Therefore the pollution control and ecological conservation make up important parts of construction and production cost, both of which are key parts of life cycle cost. This paper uses analytic hierarchy process and fuzzy comprehensive evaluation to estimate the life cycle cost and helps the enterprise to make social or temporal comparison and potentiality exploitation and to improve its sustainable development capability.


2019 ◽  
Vol 13 (1) ◽  
pp. 183-195
Author(s):  
Dongxiao Niu ◽  
Weibo Zhao ◽  
Zongyun Song

Purpose There are thousands of areas excluded from using electrical energy in China. It is mainly because that these places, which are away from towns, have the characteristics of scattered living and low-power consumption and are difficult to construct the power grid. The utilization of energy in remote areas could improve the level of education and quality of life for people living in there, which has great social significance. However, how to choose the optimal power generation model quantitatively according to local energy advantages is a difficult problem. Design/methodology/approach To carry out a better assessment of the energy benefits of Chinese rural areas to assist the decision-making of energy utilization project, this paper takes Sunan Yugu Autonomous County in Gansu Province as an example. Four feasible energy utilization scenarios are proposed by analyzing its geographical conditions and re-source advantage, respectively, are photovoltaic power generation, biomass power generation, wind power generation and power grid extension. Based on the above scenarios, the evaluation index system of comprehensive utilization of energy in remote areas is constructed, and the comprehensive benefit of each model is evaluated by adopting entropy-based fuzzy comprehensive evaluation model. Findings Evaluation results show that the comprehensive benefits of photovoltaic power generation is the best, followed by power grid extension. Thus, preference should be given to the two models in the energy utilization in Sunan County. This evaluation model can provide a scientific reference for the selection decision-making of energy utilization project, which is helpful to provide the feasibility and efficiency of the construction of energy utilization project. Originality/value The authors construct the comprehensive benefit evaluation index system and evaluate the comprehensive benefits of different scenarios are by using entropy - fuzzy comprehensive evaluation model. Then the qualitative problem can be analyzed quantitatively. The purpose of this study is to support the decision-making of energy investment. Simultaneously, the paper also has some practical significance in improving the credibility of the government and the quality of local people’s life.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Yangchun Cao ◽  
Guangyu Zhang ◽  
Chunyao Ou

This article first investigates the status of financial cloud development in smart cities and studies the sustainable development of smart cities. Secondly, it investigates the construction of the evaluation model, using the power of the financial cloud, through exploratory factor analysis, selecting the principal component analysis method to extract the factors, for screening and dimensionality reduction of the indicators, and making hypotheses. We used confirmatory factor analysis to establish the structural equation. The measurement model analyzes and validates the assumptions of the previous stage and finally determines the sustainable development evaluation index system. Then, starting from the scoring coefficient matrix of the exploratory factor analysis of the final model, the variance contribution rate of each common factor is weighted to construct a comprehensive evaluation model to calculate the comprehensive evaluation score. For the comprehensive evaluation score of the sustainable development level of the smart city, SPSS software performs cluster analysis, performs regional clustering, and determines the level of urban development. Finally, by comparing the sustainable development levels of smart cities, the related causes of the gaps are analyzed. Key factors affecting the sustainable development of smart cities are identified, and corresponding countermeasures are proposed.


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