scholarly journals Study on Optimization Path of Energy Consumption Structure of Container Terminal

2021 ◽  
Author(s):  
Ruiyu Li ◽  
Haifeng Fang ◽  
Guodong Wang ◽  
Qingfang Ma
Keyword(s):  
Energy Consumption ◽  
Industrial Development ◽  
Technological Development ◽  
Container Terminal ◽  
Clean Energy ◽  
Container Terminals ◽  
Energy Structure ◽  
Policy Intervention ◽  
Consumption Structure ◽  
Current Energy

This study accounts current energy consumption of various types of equipments in Chinese container terminals through investigating typical terminals; compares and analyzes the clean energy application technologies from the perspectives of technical level, investment cost, and others; on this basis, construct the predictive model of energy consumption structure, and uses scenario analysis to carry out energy consumption predictions under each scenario and analyzes the effect of policy intervention, technological development and other factors. According to the predictive results, this study holds that in order to optimize energy structure of container terminal, container terminals should strongly promote the application of clean energy to port machinery instead of fuel on the basis of the industrial development and cost reduction of high-power and large-capacity power batteries; at the same time, strengthen policy encouragement and guidance are needed.

scholarly journals The Impact of Green Finance Development on China’s Energy Structure Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hui Wang ◽  
Lili Jiang ◽  
Hongjun Duan ◽  
Yifeng Wang ◽  
Yichen Jiang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Local Development ◽  
Clean Energy ◽  
Green Energy ◽  
Energy Structure ◽  
Renewable Energy Consumption ◽  
Consumption Structure ◽  
Green Finance ◽  
The Impact

This paper studies the impact of the development of green finance on China’s energy consumption structure. 17 basic indexes and the improved entropy weight method are used to construct the green finance index (GFI). Multiple regression, panel regression, and spatial regression are used to study the impact of green finance on China’s traditional energy and renewable energy consumption. The results show that there is a positive spatial spillover effect in the development of green finance among provinces in China. The development of green finance contributes to the conversion of traditional to renewable energy consumption. The effect of green finance on the transformation of energy consumption structure is mainly reflected in the direct effect. The green finance in each province not only helps the local development of green energy but also plays a good role in the production and utilization of clean energy consumption in surrounding provinces. Therefore, the government should support the green finance, reduce traditional energy consumption, and increase renewable energy consumption.

scholarly journals Evaluation of CO2 emissions and energy use with different container terminal layouts

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Muhammad Arif Budiyanto ◽  
Muhammad Hanzalah Huzaifi ◽  
Simon Juanda Sirait ◽  
Putu Hangga Nan Prayoga
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Statistical Analysis ◽  
Energy Use ◽  
Container Terminal ◽  
Container Terminals ◽  
Future Planning ◽  
Container Handling

AbstractSustainable development of container terminals is based on energy efficiency and reduction in CO2 emissions. This study estimated the energy consumption and CO2 emissions in container terminals according to their layouts. Energy consumption was calculated based on utility data as well as fuel and electricity consumptions for each container-handling equipment in the container terminal. CO2 emissions were estimated using movement modality based on the number of movements of and distance travelled by each container-handling equipment. A case study involving two types of container terminal layouts i.e. parallel and perpendicular layouts, was conducted. The contributions of each container-handling equipment to the energy consumption and CO2 emissions were estimated and evaluated using statistical analysis. The results of the case study indicated that on the CO2 emissions in parallel and perpendicular layouts were relatively similar (within the range of 16–19 kg/TEUs). These results indicate that both parallel and perpendicular layouts are suitable for future ports based on sustainable development. The results can also be used for future planning of operating patterns and layout selection in container terminals.

scholarly journals Low-carbon development via greening global value chains: a case study of Belarus

2020 ◽  
Vol 476 (2239) ◽  
pp. 20200024
Author(s):  
Huiqing Wang ◽  
Yixin Hu ◽  
Heran Zheng ◽  
Yuli Shan ◽  
Song Qing ◽  
...  
Keyword(s):  
International Trade ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Clean Energy ◽  
Global Value Chains ◽  
Value Chains ◽  
Energy Structure ◽  
Low Carbon ◽  
Low Carbon Development ◽  
Plastic Products

The rise of global value chains (GCVs) has seen the transfer of carbon emissions embodied in every step of international trade. Building a coordinated, inclusive and green GCV can be an effective and efficient way to achieve carbon emissions mitigation targets for countries that participate highly in GCVs. In this paper, we first describe the energy consumption as well as the territorial and consumption-based carbon emissions of Belarus and its regions from 2010 to 2017. The results show that Belarus has a relatively clean energy structure with 75% of Belarus' energy consumption coming from imported natural gas. The ‘chemical, rubber and plastic products' sector has expanded significantly over the past few years; its territorial-based emissions increased 10-fold from 2011 to 2014, with the ‘food processing' sector displaying the largest increase in consumption-based emissions. An analysis of regional emissions accounts shows that there is significant regional heterogeneity in Belarus with Mogilev, Gomel and Vitebsk having more energy-intensive manufacturing industries. We then analysed the changes in Belarus' international trade as well as its emission impacts. The results show that Belarus has changed from a net carbon exporter in 2011 to a net carbon importer in 2014. Countries along the Belt and Road Initiative, such as Russia, China, Ukraine, Poland and Kazakhstan, are the main trading partners and carbon emission importers/exporters for Belarus. ‘Construction’ and ‘chemical, rubber and plastic products' are two major emission-importing sectors in Belarus, while ‘electricity' and ‘ferrous metals' are the primary emission-exporting sectors. Possible low-carbon development pathways are discussed for Belarus through the perspectives of global supply and the value chain.

scholarly journals Does change of industrial structure affect energy consumption structure: A study based on the perspective of energy grade calculation

2018 ◽  
Vol 37 (1) ◽  
pp. 579-592 ◽  
Author(s):  
Yang Hong ◽  
Peng Can ◽  
Yang Xiaona ◽  
Li Ruixue
Keyword(s):  
Energy Consumption ◽  
Calculation Method ◽  
Technological Progress ◽  
Industrial Structure ◽  
Energy Resources ◽  
Energy Sources ◽  
Energy Structure ◽  
Consumption Structure ◽  
The Difference ◽  
The Impact

In this article, the grades of different kinds of energy sources are distinguished. Thus, we put forward an equivalent electric calculation method, which is compliant with the calculation of various energy resources that have different grades. Based on this aspect, we empirically analyzed the influence of industrial structure changing on energy consumption structure by analyzing panel data in 30 provinces of China from 2003 to 2013. Results showed that the calculated results of equivalent electric calculation method were more accurate because it considered the difference in grades between various energy sources. Industrial structure changing had a significant impact on energy consumption structure. The upgrading and rationalization of the industrial structure had a significant promotion on energy structure cleaning. In addition, technological progress was conducive to the clean development of energy structure, the decrease in energy price boosted energy structure cleaning, and the impact of economic level on energy consumption structure was not significant.

Analysis of Hunan Province Industry’s Carbon Emission Based on the Energy Consumption Structure

2014 ◽  
Vol 641-642 ◽  
pp. 1078-1081
Author(s):  
Lin Wu ◽  
Han Li
Keyword(s):  
Energy Consumption ◽  
Carbon Emission ◽  
High Energy ◽  
Hunan Province ◽  
Carbon Intensity ◽  
Energy Structure ◽  
Coal Consumption ◽  
Consumption Structure ◽  
Industrial Energy ◽  
Industrial Energy Consumption

Energy consumption carbon emission factor method was used to analyze the carbon emission evolution of industrial energy consumption in Hunan Province with collected data on industrial energy consumption in 2000-2012. Results had shown that Hunan province industry’s carbon emission keep increasing in 2000-2012. There is a highly correlation between the total coal consumption and carbon emission of industrial energy carbon emission. Industrial energy consumption structure plays a decisive role in carbon emission. Industrial economic growth at the expense of high energy consumption in 2000-2005 has changed. Industrial carbon intensity has a fluctuated downward trend from 2005 to 2012. From the perspective of carbon emission per industrial output and industrial energy consumption structure, there is a large potential for carbon emission control in Hunan industrial energy consumption. Therefore, the main way to control carbon emission of industrial energy consumption in Hunan Province is to optimize the energy structure, reasonable adjustment of industry structure, improve energy technical level, proper control the growth of energy consumption.

Research on the Regional Low-Carbon Industrial Development: A Case of Tianjin Binhai New Area

2011 ◽  
Vol 219-220 ◽  
pp. 250-253 ◽  
Author(s):  
Xiao Ying Cui ◽  
Hui Ming Li ◽  
Lei Wang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Industrial Development ◽  
Carbon Emission ◽  
Large Scale ◽  
Industrial Structure ◽  
Industrial Sector ◽  
Energy Structure ◽  
Low Carbon ◽  
Tianjin Binhai New Area

Energy consumption induced by industry sector is the main source of carbon emission. So it is important to the policy making that research on the low-carbon industrial development, which is aiming to establish an industry system with low-carbon character. There are four restrictive factors on low-carbon industrial development in Tianjin Binhai New Area of China: the rather large scale of the secondary industry, the heavy industrial structure which strongly caused the increasing energy consumption, the high-carbon energy structure of industrial sector, and the lower industrial energy efficiency which has certain gap compared with other regions. Several countermeasures are proposed to reduce carbon emission induced by industrial sector, such as improving energy efficiency, optimizing energy structure, establishing multiple-access financing mechanism to encourage R&D on low-carbon technology, enhancing the development of low carbon industry, participating in the international cooperation actively, and making strategic plan of low-carbon industrial development.

Calculation of Carbon Dioxide Emission in Nanjing City and its Influencing Factors

2014 ◽  
Vol 665 ◽  
pp. 517-520
Author(s):  
Qiang Zhao ◽  
Xiu Mei Li ◽  
Xiang Yu Cui
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Influencing Factors ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Clean Energy ◽  
Energy Structure ◽  
Low Carbon ◽  
Index Decomposition ◽  
Laspeyres Index

The research estimates the carbon dioxide emissions of energy consumption from 2003 to 2011 using the method in IPCC national greenhouse gases listing guidance, by adopting the method of Kaya identities and Laspeyres index decomposition technique to analyze the influencing factors and the influencing degree. The result shows that the main factors influencing carbon dioxide emissions are energy structure and per capita GDP, and to develop clean energy, to improve energy structure are important choice to reduce the carbon dioxide emissions of energy consumption, realize low carbon in the future. This research provides an important reference to protect the environment and to promote the sustainable development of economy.

scholarly journals Can Green Finance Optimize Energy Structure: A Spatial Econometric Analysis based on China's Traditional and Renewable Energy Consumption

2021 ◽  
Author(s):  
Hui Wang ◽  
Lili Jiang ◽  
Hongjun Duan ◽  
Yifeng Wang ◽  
Yichen Jiang
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Spillover Effect ◽  
Energy Structure ◽  
Renewable Energy Consumption ◽  
Spatial Spillover ◽  
Consumption Structure ◽  
Green Finance ◽  
The Impact ◽  
Spatial Spillover Effect

Abstract This paper studies the impact of the development of green finance on China’s energy consumption structure. In terms of the construction of the green finance index (GFI), this paper selects 17 basic indexes from the three aspects of economy, finance, and environment, uses the improved entropy weight method to construct the GFI, and studies the spatial spillover effect of the GFI of China's provinces. This paper further studies the impact of green finance on traditional and renewable energy consumption. We first uses panel regression to determine that the development of green finance has a positive effect on the slowdown of traditional energy consumption and acceleration of renewable energy consumption, and then further studies the spatial characteristics of green finance development on energy consumption by using spatial Durbin model. The results show that there is a positive spatial spillover effect in the development of green finance among provinces in China. The development of green finance contributes to the conversion of traditional to renewable energy consumption. The effect of green finance on the transformation of energy consumption structure is mainly reflected in the direct effect. Therefore, the government should support the green finance, reduce traditional energy consumption and increase renewable energy consumption.

scholarly journals Optimization Method for Container Quay Crane Operation Based on Energy Saving

2018 ◽  
Vol 53 ◽  
pp. 01011
Author(s):  
Liu Leilei ◽  
Sun Lei ◽  
Zhao Dadi
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Container Terminal ◽  
Optimization Method ◽  
Container Terminals ◽  
Energy Utilization ◽  
Quay Cranes ◽  
Actual Operation ◽  
Loading And Unloading ◽  
Reducing Energy

This paper studies the energy utilization of the quay crane, one of the major energy using equipment for the container terminal. We establish an optimization model for the loading and unloading of the quay crane, use the genetic algorithm to solve it, and verify the validity of the model by actual operation data of container terminals. The results show that the model has a significant effect on reducing energy consumption of quay cranes.

scholarly journals Substitution Effect of Natural Gas and the Energy Consumption Structure Transition in China

2020 ◽  
Vol 12 (19) ◽  
pp. 7853
Author(s):  
Weiwei Xiong ◽  
Liang Yan ◽  
Teng Wang ◽  
Yuguo Gao
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Capital Investment ◽  
Cumulative Effect ◽  
Energy Transition ◽  
Substitution Effect ◽  
Energy Structure ◽  
Structure Transition ◽  
Consumption Structure ◽  
Positive Effects

A crucial problem which China faces is how to improve its energy consumption structure. In this paper, a system dynamic model of energy substitution based on energy capital and putty-clay theory is adopted, in order to explore the substitution effect of natural gas on the energy consumption structure transition in China. The results demonstrate that the huge capital stocks of coal and oil capacities effectively delay the progress of natural gas substitution for optimizing the energy structure, resulting in a limited effect of natural gas substitution in the short term and a large cumulative effect in the long term. Further scenario analyses indicate that natural gas subsidies and carbon price policies have positive effects on the growth of natural gas consumption and the optimization of the energy structure. We also found that a higher pressure of safety supply may emerge to meet the demand for energy consumption in the energy transition. Recommendations are given for improving the energy consumption structure in China from three aspects: allocating capital investment to natural gas, reducing the transition cost between natural gas and other energy sources, and awareness of the systemic risks in energy consumption.

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