scholarly journals Spatiotemporal Trajectory of China’s Provincial Energy Efficiency and Implications on the Route of Economic Transformation

2018 ◽  
Vol 10 (12) ◽  
pp. 4582 ◽  
Author(s):  
Chao Xu ◽  
Yunpeng Wang ◽  
Lili Li ◽  
Peng Wang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Growth Rates ◽  
Industrial Structure ◽  
High Energy ◽  
Economic Transformation ◽  
Trajectory Clustering ◽  
Long Period ◽  
Per Capita ◽  
Spatiotemporal Trajectories

A comparative analysis of the spatiotemporal trajectory of energy efficiency (STEE) among the provinces in China over the past 21 years was conducted based on a quadrant diagram of the GDP per capita and the energy consumption per capita. An energy macro-efficiency per capita indicator (EMEPCI) was established using the energy consumption data of 30 Chinese provinces from 1996 to 2016. The spatiotemporal trajectory clustering method (STCM) and the industrial structure upgrading index (ISUI) were used for an exploratory analysis of the driving force of the changes in the STEE. The results showed the following: (1) The growth rate and amplitude of energy efficiency differed by province. From a geospatial perspective, the energy efficiency of the eastern regions was higher than that of the western regions, and that of the southern regions was higher than that of the northern regions. The growth trends demonstrated a pattern in which the provinces with higher energy efficiency had higher growth rates, whereas the provinces with lower energy efficiency showed lower growth rates. (2) The majority of the Chinese provinces, particularly the southwest region and the regions near the middle stream of the Yangtze River, were still undergoing a development process. Thus, it is necessary to pay attention to the adjustment of the economic development model to avoid shifting towards quadrants I or II, where the energy consumption is higher. (3) A spatiotemporal trajectory clustering analysis grouped the different provinces into four categories. Besides the majority of the provinces, which remained in quadrant III, Beijing, Shanghai, and Tianjin have remained in the “dual-high” quadrant for long period of time and are shifting towards quadrant IV. The trajectory of the second group was characterized by movement almost directly from the “dual-low” quadrant (III) towards the target quadrant (IV). The common feature of the energy efficiency trajectory of the third group was that they remained in the high energy consumption and low GDP quadrant for a relatively long period, and immediate changes were required in their development models. (4) The provinces with a similar industrial structure transformation level were more likely to have similar spatiotemporal trajectories of energy efficiency. Particularly, provinces with a similar level of transformation from secondary industries to tertiary industries enjoyed a greater probability of transformation as well as similar spatiotemporal trajectories of energy efficiency.

scholarly journals The CO2 emissions drivers of post-communist economies in Eastern Europe and Central Asia

2020 ◽  
Author(s):  
Rui Li ◽  
Jiang Hong ◽  
Iryna Sotnyk ◽  
Oleksandr Kubatko ◽  
Ismail Almashaqbeh Y. A.
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Slovak Republic ◽  
Random Effect ◽  
Random Effect Model ◽  
High Energy ◽  
Carbon Intensity ◽  
Per Capita

Abstract Background. The CO2 emissions became a key environmental contaminant which is responsible for climate change in general and global warming in particular. Two geographical groups of countries that previously belonged to the former bloc of socialist countries are used for the estimations of CO2 emissions drivers of post-communist economies. The research covers such Eastern European countries as Bulgaria, Czech Republic, Hungary, Russian Federation, Poland, Romania, Slovak Republic, and Ukrainian territory as treated by international law and such Central Asian states as Kazakhstan and Uzbekistan during the period 1996-2018. The main goal of the research is to identify common drivers that determine carbon dioxide emissions in selected states. To control for the time fixed affects (like EU membership) random effect model was used for the analysis of panel data set.Results. It is found that energy efficiency has a negative influence on per capita CO2 emissions and an increase in GDP by 100 USD per 1 ton of oil decreases per capita CO2 emissions from 17 to 64 kg per capita. That is the more energy efficient the economy becomes, the less CO2 emissions per capita it produces. Unlike energy efficiency, an increase in GDP per capita by 1000 USD increases CO2 emissions by 260 kilograms per capita, and the richer the economy becomes, the more CO2 emissions per capita it generates. The increase in life expectancy by one year lead on average to increase in CO2 emissions per capita 200 to 370 kilograms per capita, with average values of 260 kilograms per capita. It was found that energy consumption per capita is a factor that positively adds to the CO2 emissions per capita. Oil prices, and foreign direct investment came as statistically insignificant factors.Conclusions. Among the main policy reconditions are the promotion of energy efficiency policy in accordance with EU policies and programs that stimulate a reduction in energy consumption and consequently CO2 emissions per capita. The other measure is the promotion of less energy-intensive service sector instead of building up an industrial sector characterized by high energy and carbon intensity.

scholarly journals Cooperative UAV Scheme for Enhancing Video Transmission and Global Network Energy Efficiency

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4155 ◽  
Author(s):  
Pedro Cumino ◽  
Wellington Lobato Junior ◽  
Thais Tavares ◽  
Hugo Santos ◽  
Denis Rosário ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Video Transmission ◽  
State Of The Art ◽  
Premature Death ◽  
Global Network ◽  
Quality Level ◽  
Network Partitioning ◽  
Long Period ◽  
The Impact

Collaboration between multiple Unmanned Aerial Vehicles (UAVs) to set up a Flying Ad Hoc Network (FANET) is a growing trend since future applications claim for more autonomous and rapid deployable systems. The user experience on watching videos transmitted over FANETs should always be satisfactory even under influence of topology changes caused by the energy consumption of UAVs. In addition, the FANET must keep the UAVs cooperating as much as possible during a mission. However, one of the main challenges in FANET is how to mitigate the impact of limited energy resources of UAVs on the FANET operation in order to monitor the environment for a long period of time. In this sense, UAV replacement is required in order to avoid the premature death of nodes, network disconnections, route failures, void areas, and low-quality video transmissions. In addition, decision-making must take into account energy consumption associated with UAV movements, since they are generally quite energy-intensive. This article proposes a cooperative UAV scheme for enhancing video transmission and global energy efficiency called VOEI. The main goal of VOEI is to maintain the video with QoE support while supporting the nodes with a good connectivity quality level and flying for a long period of time. Based on an Software Defined Network (SDN) paradigm, the VOEI assumes the existence of a centrailized controller node to compute reliable and energy-efficiency routes, as well as detects the appropriate moment for UAV replacement by considering global FANET context information to provide energy-efficiency operations. Based on simulation results, we conclude that VOEI can effectively mitigate the energy challenges of FANET, since it provides energy-efficiency operations, avoiding network death, route failure, and void area, as well as network partitioning compared to state-of-the-art algorithm. In addition, VOEI delivers videos with suitable Quality of Experience (QoE) to end-users at any time, which is not achieved by the state-of-the-art algorithm.

Study on the industrial structure optimization under constraint of energy intensity

2020 ◽  
pp. 0958305X2092159
Author(s):  
Xiongfeng Pan ◽  
Mengna Li ◽  
Chenxi Pu ◽  
Haitao Xu
Keyword(s):  
Energy Consumption ◽  
Computable General Equilibrium ◽  
Technological Progress ◽  
Energy Intensity ◽  
Industrial Structure ◽  
High Energy ◽  
Industrial Sector ◽  
Added Value ◽  
Tertiary Industry ◽  
Intensity Control

This study establishes a multi-sector dynamic computable general equilibrium framework that integrates energy intensity module to explore the reverse feedback effect of energy intensity control on industry structure. The results indicate that (1) the tightening effect of energy intensity constrains on the Industrial sector is most significant, followed by the Tertiary Industry, with the least impact on Agriculture; (2) when there is no technological progress in the departments, the change of industrial structure is mainly reflected in the sharp decline in the proportion of Industry and the significant increase in the proportion of Tertiary Industry. When technological progress exists in high energy-consumption departments, the tightening effect of energy intensity constraints on the industrial sector will be reduced; when there is technological progress in all departments, the industrial structure will have a smaller change, and the technology progress can alleviate the tightening effect of the energy intensity target on various sectors; (3) under the constraint of energy intensity, the high energy-consuming industry shifts to the Equipment Manufacturing with low energy-consumption and high-added value. The increasing proportion of Tertiary Industry mainly comes from two industries including Wholesale, Retail, Hoteling and Catering, and Transportation, Storage, and Post.

Research on Energy Efficiency and Environmental Pollution in China: a Simultaneous Equations Approach

2011 ◽  
Vol 361-363 ◽  
pp. 974-977 ◽  
Author(s):  
Ying Nan Dong ◽  
Yu Duo Lu ◽  
Jiao Jiao Yu
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Economic Loss ◽  
Simultaneous Equations ◽  
Consumption Structure ◽  
The Relationship

This paper examined the relationship between the energy efficiency and the environmental pollution. By using the data of energy intensity and economic loss caused by environmental pollution (ELP) in China from 1989-2009, a simultaneous equations was developed. The result of two-stage OLS estimation suggested that the energy had exerted positive influences on the decreasing of the environmental pollutions. By enhancing the energy efficiency and adjusting the industrial structure and energy consumption structure, China is exploring a road for sustainable development in the energy conservation.

Exploration of the Development of Schemes to Achieve a District-Aggregate Energy-Intensity Goal - Taking the 12th Five-Year Period Energy Intensity Goal of Daxing District, Beijing as a Study Case

2014 ◽  
Vol 962-965 ◽  
pp. 1455-1460
Author(s):  
Xiang Qian Li ◽  
Li Juan Yang ◽  
Ling Ling Chen
Keyword(s):  
Energy Consumption ◽  
Gross Domestic Product ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Energy Losses ◽  
Residential Energy ◽  
Initial Value ◽  
Study Case ◽  
Per Capita

The paper explored how to develop schemes to achieve a district’s energy consumption per gross domestic product (ECPGDP) target. It first analysed the available measures regarding the reduction of ECPGDP. These measures include optimising the industrial structure, reducing the energy intensity of different industries, reducing the per capita residential energy consumption, and reducing the energy losses. Next, the procedure and methods of developing schemes to achieve the target ECPGDP were proposed. The procedure contains five steps: determine the target ECPGDP, predicting the initial value of the ECPGDP, analysing the availability of different measures of reducing the ECPGDP, forming the schemes of achieving the target, and summarising the proposed schemes. Finally, the paper considered the 12th Five-Year period ECPGDP target of Daxing District, Beijing as a study case. In the case study, four quantitative schemes to achieve the target ECPGDP were considered.

Process Optimization of One-Stage Propane Pre-Cooled MRC Cycle for Small-Scale LNG Plant

2012 ◽  
Vol 516-517 ◽  
pp. 1184-1187
Author(s):  
Heng Sun ◽  
Dan Shu ◽  
Hong Mei Zhu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Process Parameters ◽  
Large Scale ◽  
High Energy ◽  
Small Scale ◽  
Main Process ◽  
One Stage ◽  
High Energy Efficiency ◽  
The One

One-stage pre-cooled mixture refrigerant cycle can be applied in small-scale LNG plant and be special suitable for skit mounted LNG plant. It has different character with the C3MR cycle used in large-scale LNG plant. The optimization of the mixture refrigerant is carried out using HYSYS software. The effect of the main process parameters on the performance of the cycle is calculated and discussed. The result shows that appropriate ranges of the process parameters exist. Higher and lower values of the parameters will increase the energy consumption significantly. The results also indicate that the optimization of the one-stage pre-cooled mixture refrigerant cycle can obtain rather high energy efficiency that is competitive with that of the SMR which is widely employed in small-scale LNG plant.

Effects of Energy Prices on Energy Efficiency in China

2014 ◽  
Vol 962-965 ◽  
pp. 1767-1772
Author(s):  
Zun Ming Ren
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Industrial Structure ◽  
Time Series Data ◽  
Series Data ◽  
Energy Prices ◽  
Electricity Prices ◽  
Consumption Structure ◽  
Integration Test

The paper utilized the co-integration test, error correction model and Granger causality test, and other methods to verify the influence of the coal, oil and electricity prices, industrial and energy consumption structures on China's energy efficiency based on time-series data from 1979 to 2010. Test results show that: there is long-term equilibrium relationship of the energy prices, industrial structure, energy consumption structure and energy efficiency; coal prices, industrial structure and energy consumption structure are the Granger reasons of energy efficiency both in the short and long run; while the oil and electricity prices only constitute the long-term Granger reasons of energy efficiency. Finally, it analyzed the implications of policies of the empirical results and provided some constructive suggestions.

scholarly journals A Review of Economic and Environment Indicators and Energy Efficiency: Evidence from the EU and Serbia

2020 ◽  
Vol 58 (4) ◽  
pp. 459-477
Author(s):  
Sandra Jednak ◽  
Jelena Minović ◽  
Dragana Kragulj
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Environmental Indicators ◽  
Gdp Per Capita ◽  
Ghg Emission ◽  
Efficiency Increase ◽  
Reduce Energy Consumption ◽  
Per Capita ◽  
The Relationship ◽  
The Eu

Abstract Energy is a globally important factor of production - the growth of population and income increase energy consumption, so there is an urge to decrease it. However, there are different ways to reduce energy consumption, and one of them is energy efficiency. The aim of the paper is to give a theoretical review of energy efficiency and its benefits. The purpose of the paper is the analysis of economic and environmental indicators and energy efficiency in EU27 (after 2020) and Serbia. The trends of energy efficiency, GDP per capita and GHG emission are shown for the observed countries. The European and Serbian policies and targets for energy efficiency are presented and also the level these countries have reached the set targets. In order to see the relationship between energy efficiency, GDP per capita and GHG emission, the correlation among all variables is applied. The results show that energy efficiency is higher in EU27 than in Serbia. Even though Serbia had energy efficiency increase during the observed period (1995-2018), it lags behind the EU27. However, there is a positive correlation between energy efficiency and GDP and GHG emission in both EU27 and Serbia.

scholarly journals Research on the Coordination of Environmental Pollution and Industrial Structure Upgrading from the Coupling Perspective

2021 ◽  
Vol 290 ◽  
pp. 03015
Author(s):  
Wenjing Zhang
Keyword(s):  
Energy Consumption ◽  
Environmental Pollution ◽  
Industrial Structure ◽  
Economic Transformation ◽  
Coordinated Development ◽  
Environmentally Sustainable ◽  
Inaccurate Data ◽  
Vec Model ◽  
Endogenous Variables ◽  
Industrial Structure Upgrading

Economic transformation and industrial structure upgrading are critical to achieving environmentally sustainable development. Based on the inaccurate data analysis of the VEC model and the logarithmic average exponential decomposition method, this paper proposes an analysis of the two-way coupling relationship between natural gas energy consumption and environmental pollution. Through the identification of conceptual models of the re-linking and decoupling relationship between energy consumption and environmental pollution, two-dimensional endogenous variables and exogenous variables are determined. The research results show that both energy consumption and CO2 emissions are on the actual data statistical line, with an error of 0. At the end, the article puts forward policy recommendations to promote the coordinated development of urban agglomeration environmental pollution and industrial structure upgrading.

scholarly journals Design features of thermal furnace with a drum mechanism for blanks transportation

2021 ◽  
Vol 64 (2) ◽  
pp. 89-94
Author(s):  
N. A. Cheremiskina ◽  
N. V. Shchukina ◽  
N. B. Loshkarev ◽  
V. V. Lavrov
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Specific Energy Consumption ◽  
Developed Countries ◽  
High Energy ◽  
Flow Diagram ◽  
Heating Process ◽  
Specific Process ◽  
Technical Parameters ◽  
Improve Energy Efficiency

One of the most energy-intensive industries is ferrous metallurgy. The metallurgical sector in industrially developed countries is reducing its specific energy consumption per one ton of products by approximately 1.0 – 1.5 % per annum. In Russia, obsolete technology is the main reason for the high-energy intensity of industrial product. Energy saving in industrial production is associated with production technology and the scope of fuel and energy resources consumption. Therefore, ways to improve energy efficiency focus on reducing energy consumption of any kind during a specific process in a specific process or thermal unit. Ensuring the economical operation of furnace units requires detailed preliminary and verification analyses, upgrading and introduction of state-of-the-art equipment. The study presents a flow diagram and features of thermal operation of a new drum-type chamber furnace for heating metal products for quenching. The technical parameters of the furnace, the results of the thermo-technical analysis, the heat balance and the specific fuel consumption as applicable to the created design are also presented. The flow diagram of the furnace has significant advantages in terms of the energy efficiency of fuel as compared to the roller and conveyor methods of metal transportation. Placing blanks on the drum significantly reduces the complexity of their transportation. Thanks to its small length the proposed design is compact and easy to place in a workshop. The use of a recuperative fuel burning device allows the efficient use of the heat of waste gases in the heating process. The proposed design and method of products transportation in the furnace working space can be used for the heat treatment of bars, pipes, strips, as well as rolled steel of various shapes.

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