Analyse the Influence Factors of Energy-Saving and Emission-Reduction in Asphalt Pavement Construction

2013 ◽  
Vol 774-776 ◽  
pp. 913-918
Author(s):  
Li Du ◽  
Yu Mei Li ◽  
Cong Hao Li
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Emission Reduction ◽  
Heating Temperature ◽  
Asphalt Pavement ◽  
Asphalt Mixture ◽  
Influence Factors ◽  
Construction Process ◽  
Construction Machinery ◽  
Pavement Construction

Base on the process of asphalt pavement construction, analyse the influence factors of energy-saving and emission-reduction in asphalt pavement construction. Research shows thatduring the asphalt pavement construction process, all kinds of construction machinery are the main source of energy consumption and emissions; Asphalt mixture also emission part of gases itself, which closely related with the heating temperature of the mixture.

Methods for Reducing Energy Consumption and Carbon Emission in Asphalt Pavement Construction

2013 ◽  
Vol 361-363 ◽  
pp. 1825-1828
Author(s):  
Zhi Yong Ding ◽  
Yi Xiao Yang
Keyword(s):  
Energy Conservation ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Asphalt Pavement ◽  
Asphalt Mixture ◽  
Construction Process ◽  
Consumption Reduction ◽  
Structure Improvement ◽  
Excellent Control ◽  
Pavement Construction

In the construction process of asphalt pavement, mixing is the process which brings most of carbon emission. There is huge potential advancement of energy conservation, emission reduction and consumption reduction in the construction of asphalt pavement. Research on the structure improvement of construction equipment, the optimizing of the construction technological process and the influence of mixture performance and parameters is necessary. It is feasible to conduct interdisciplinary research in the condition that construction quality is ensured. There needs excellent control technology on efficient paving, efficient compaction and appropriate equipment match and temperature segregation of mixture. By doing this, the purpose of energy conservation and emission reduction in the construction process of hot-mix asphalt mixture can be achieved.

Determining Optimum Carbon Nanotubes Content for Asphalt Mixture in Road Pavements

2021 ◽  
Vol 1023 ◽  
pp. 121-126
Author(s):  
Van Bach Le ◽  
Van Phuc Le
Keyword(s):  
Carbon Nanotubes ◽  
Asphalt Pavement ◽  
Asphalt Binder ◽  
Asphalt Mixture ◽  
Construction Cost ◽  
Asphalt Mixtures ◽  
Static Modulus ◽  
Pavement Construction ◽  
Modified Binder ◽  
Marshall Stability

Although small amount of binder in asphalt concrete mixture may commonly range from 3.5 to 5.5% of total mixture as per many international specifications, it has a significant impact on the total cost of pavement construction. Therefore, this paper investigated the effects of five carbon nanotubes contents of 0.05%, 0.1%, 0.15%, 0.2%, 0.25% by asphalt weight as an additive material for binder on performance characteristics of asphalt mixtures. Performance properties of CNTs modified asphalt mixtures were investigated through the Marshall stability (MS) test, indirect tensile (IDT) test, static modulus (SM) test, wheel tracking (WT) test. The results indicated that asphalt mixtures with CNT modified binder can improve both the rutting performance, IDT strength and marshall stability of tested asphalt mixtures significantly at higher percentages of carbon nanotubes. However, the issue that should be considered is the construction cost of asphalt pavement. Based on the asphalt pavement structural analysis and construction cost, it can be concluded that an optimum CNT content of 0.1% by asphalt weight may be used as additive for asphalt binder in asphalt mixtures.

scholarly journals Analysis and Forecasting of the Energy Consumption in Wastewater Treatment Plant

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
ZhenHua Li ◽  
ZhiHong Zou ◽  
LiPing Wang
Keyword(s):  
Wastewater Treatment ◽  
Energy Consumption ◽  
Energy Saving ◽  
Wastewater Treatment Plant ◽  
Rbf Neural Network ◽  
Influence Factors ◽  
Treatment Plant ◽  
Fuzzy Clustering Method ◽  
Complete Set ◽  
The Relationship

Wastewater treatment plant (WWTP) is the energy-intensive industries. Energy is consumed at every stage of wastewater treatment. It is the main contributor to the costs of WWTP. Analysis and forecasting of energy consumption are critical to energy-saving. Many factors influence energy consumption. The relationship between energy consumption and wastewater is complex and challenging to identify. This article employed the fuzzy clustering method to categorize the sample data of WWTP and analyzed the relationship between energy consumption and the influence factors in different categories. The study found that energy efficiency in various categories was changed and the same influence factors in different types had different influence intensity. The Radial Basis Function (RBF) neural network was used to forecast energy consumption. The data from the complete set and categories was adopted to train and test the model. The results show that the RBF model using the date from the subset has better performance than the multivariable linear regression (MLR) model. The results of this study provided an essential theoretical basis for energy-saving in WWTP.

Research on Green Low-Carbon Management Measures of Integrated Passenger Transportation Hub

2014 ◽  
Vol 962-965 ◽  
pp. 2445-2451
Author(s):  
Ya Fan Li ◽  
Juan Wang ◽  
Xin Tian
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Emission Reduction ◽  
Low Carbon ◽  
Carbon Management ◽  
Low Carbon Economy ◽  
Passenger Transportation ◽  
Energy Consumption Analysis ◽  
Management Measures ◽  
Carbon Economy

This paper firstly analyzed the current situation of integrated passenger transportation hub, putting forward the integrated passenger transportation hub had a strong advantage on developing green low-carbon economy. And then based on the energy consumption analysis of integrated passenger transportation hub, energy saving and emission reduction management measures were proposed.

Research on Water Damage of Asphalt Pavement and Control Measures

2012 ◽  
Vol 178-181 ◽  
pp. 1560-1563 ◽  
Author(s):  
Yan Liu ◽  
Bo Liu
Keyword(s):  
Asphalt Pavement ◽  
Asphalt Mixture ◽  
Influence Factors ◽  
Water Source ◽  
Control Measures ◽  
Water Damage ◽  
Prevention And Control Measures ◽  
Pavement Damage ◽  
And Control

Asphalt pavement of water damage is a major form of our country highway asphalt pavement damage, the paper analyzes pavement structure internal water source, water damage of asphalt pavement of the influence factors, through the determination of the three indexes and asphalt of asphalt mixture splitting tensile strength, water erosion proof of asphalt mixture and its influence, and put forward the corresponding prevention and control measures to improve the pavement performance and extend the service life of road surface has important practical value.

Regional Economic Growth and Carbon Emissions - A Case Study of Anhui Province

2013 ◽  
Vol 869-870 ◽  
pp. 1056-1062
Author(s):  
Xue Qin Wang ◽  
Cheng Xin Wang ◽  
Yun Wei Du ◽  
Jia Lu Shi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Energy Saving ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Reduction Process ◽  
Anhui Province ◽  
Energy Structure ◽  
Analysis Model ◽  
Promotion Policy

This essay tends to probe into the decoupling relationship between economic growth and carbon emissions through structuring the decoupling analysis model. The results show that: In recent years, the decoupling relationship between economic growth and carbon emissions in Anhui province has improved. Through the research about some intermediate variables, we find that the change trend of energy consumption elastic elasticity of carbon emissions and the one of GDP elastic elasticity of carbon emissions are basically the same. Meanwhile, Anhui province is relatively backward in the energy-saving and emission reduction process, carbon emissions growth and energy consumption growth did not achieve effective decoupling, which reflects that this province still has some defects in the adjustment of energy structure, energy saving and emission reduction technology promotion policy etc.

The Construction and Practice of Energy Consumption Management System for Coal-Fired Power Plant

2013 ◽  
Vol 448-453 ◽  
pp. 2781-2785
Author(s):  
Zhe Li ◽  
Yun Liang ◽  
Jian Wei Ma ◽  
Ping Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Remote Monitoring ◽  
Emission Reduction ◽  
Data Transfer ◽  
Electric Power Industry ◽  
Reliable Data ◽  
Smart Device ◽  
Rapid Modeling ◽  
And Storage

Electric power industry is of great potential on energy saving and emission reduction. Remote monitoring and analyzing on the energy consumption of coal-fired units is important methods and basis for energy saving. The system was developed a data acquisition smart device to acquire the energy consumption parameters, designed the cogeneration units "exceed power" algorithm and the energy consumption general model. The system satisfies the industrial requirements of accurate and reliable data transfer and storage and effectively enhances the rapid modeling capabilities, so as to provide technical support for the energy saving and emission reduction works.

The Research on the Potential of Energy Saving and Emission Reduction in Hospitality

2013 ◽  
Vol 448-453 ◽  
pp. 4365-4368 ◽  
Author(s):  
Qi Huang ◽  
Jian Cheng Kang ◽  
Chen Hao Huang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Future Study ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Hospitality Industry ◽  
Conversion Factor ◽  
Eastern China ◽  
Factor Matrix ◽  
Consumption Data

Hospitality industry in China has undergone a breath-taking development in recent years. However, it is burdened both by tremendous energy consumption and the responsibility of environmental protection. The paper is trying to find out the potential in the energy saving and emission reduction. Energy consumption data, in the recent five years, are collected from more than 20 hotels in Shanghai and other eastern China regions. Through the energy conversion factor matrix, these energy consumption factors can be converted into Tce value. Though the analysis of the Tce value, the paper provides a key solution to the problem at hand and possible ways of realizing the goal of establishing basis of carbon emission assessment modeling and cumulative comprehensive energy consumption database suitable for this industry, in the hope of establishing a foundation for future study of carbon footprint of the hospitality industry and its technical proposal for energy saving.

To Analyze The Influence Factors on Energy Saving of Hybrid Bus

2012 ◽  
Vol 605-607 ◽  
pp. 19-23
Author(s):  
Ya Lee Jiao ◽  
Yao Ping Li ◽  
Wen Sheng Yan
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Recovery ◽  
Influence Factors ◽  
Energy Condition ◽  
Hybrid Operation ◽  
Hybrid Bus

In order to discuss the different factors, influence on hybrid bus energy saving, we analyzed the collected data information which got when the hybrid bus driving. Discussing the situation that energy consumption and energy recovery when the hybrid operation. At last get the best operational condition when the hybrid bus can play a energy-saving role by analyze the factors such as recovery energy condition, different elevations and different starting ways

Energy Saving for a Chinese Crude Oil Pipeline

2014 ◽  
Author(s):  
Yang Yu ◽  
Changchun Wu ◽  
Xiaokai Xing ◽  
Lili Zuo
Keyword(s):  
Energy Consumption ◽  
Crude Oil ◽  
Energy Saving ◽  
Heating Temperature ◽  
Physical Property ◽  
Optimal Operation ◽  
Oil Pipeline ◽  
Simulation And Optimization ◽  
Shengli Oilfield ◽  
Consumption Cost

The Dongying-Linyi Crude Oil Pipeline, transporting the crude oil from Shengli Oilfield to the outside, is one of the most important pipelines in East China. It is of great significance for saving energy, reducing emissions and improving the economy by optimizing pipeline operation. By analyzing the daily operation reports and monthly energy consumption reports, the energy consumption situation of the pipeline is revealed. Then the crude oil from Shengli Oilfield is collected, and its physical property is tested and researched. Based on the topological structure, the technological process and the operation philosophy of the pipeline, the mathematical models for the optimal operation and the energy consumption are built and the corresponding algorithm is introduced. With the models and the algorithms mentioned above, a computer software is developed for the operation simulation and optimization of the pipeline. Combining with practice, three energy-saving measures for the pipeline are analyzed, including reduction of oil heating temperature, operation matching with peak-valley electricity price and operation matching with the combination of flow rates in a planned operation period. In addition, these energy-saving measures are evaluated by the software with several examples. It turns out that: the first measure can considerably reduce the energy consumption and the energy consumption cost of the pipeline; the second could reduce the energy consumption cost of the pipeline a lot, while may make the energy consumption go higher a little; the third could slightly lower the equivalent energy consumption and the energy cost at the same time, but the effect of it is not obvious.

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