Research on Regional Differences of Carbon Productivity in China

2014 ◽  
Vol 962-965 ◽  
pp. 1866-1870
Author(s):  
Jing Zhang ◽  
Jian Feng Cai
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Regional Differences ◽  
Total Carbon ◽  
Eastern Region ◽  
The West ◽  
Consumption Data ◽  
Policy Suggestions ◽  
Carbon Productivity

This paper calculates the total carbon emissions on the basis of energy consumption data of 29 provinces by using IPCC reference approach and analysis the emission structure of carbon dioxide. Carbon productivity is calculated and the interprovincial and regional differences are studied. The results show that the main source of emission structure of carbon dioxide is coal. Significant differences on carbon productivity exist in inter-provincial as well as the three regions, carbon productivity in the eastern region is the highest, followed by the middle, the west is the lowest. According to the result, relative policy suggestions are put forward in the last.

scholarly journals The Paradoxical Relationship between Renewable Energy and Economic Growth: A Cross-National Panel Study, 1990-2013

2017 ◽  
Vol 23 (2) ◽  
pp. 540-564 ◽  
Author(s):  
Ryan P Thombs
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Total Carbon ◽  
Renewable Energy Consumption ◽  
Negative Effect ◽  
Cross National

This cross-national study employs a time-series cross-sectional Prais-Winsten regression model with panel-corrected standard errors to examine the relationship between renewable energy consumption and economic growth, and its impact on total carbon dioxide emissions and carbon dioxide emissions per unit of GDP. Findings indicate that renewable energy consumption has its largest negative effect on total carbon emissions and carbon emissions per unit of GDP in low-income countries. Contrary to conventional wisdom, renewable energy has little influence on total carbon dioxide emissions or carbon dioxide emissions per unit of GDP at high levels of GDP per capita. The findings of this study indicate the presence of a “renewable energy paradox,” where economic growth becomes increasingly coupled with carbon emissions at high levels of renewable energy, and the negative effect of economic growth on carbon emissions per unit of GDP lessens as renewable energy increases. These findings suggest that public policy should be directed at deploying renewable energy in developing countries, while focusing on non-or-de-growth strategies accompanied with renewable energy in developed nations.

scholarly journals Analysis of total carbon emission of the logistics industry in Guangdong and solutions to emission reduction

2021 ◽  
Vol 245 ◽  
pp. 01020
Author(s):  
Aixia Xu ◽  
Xiaoyong Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Utilization ◽  
Total Carbon ◽  
Utilization Rate ◽  
Low Carbon ◽  
Logistics Industry ◽  
Direct Energy ◽  
Reduce Emissions

The input-output method is employed in this study to measure the total carbon emission of the logistics industry in Guangdong. The findings revealed that the carbon emission of direct energy consumption of the logistics industry in Guangdong is far above the actual carbon emissions, the second and third industries play a significant role in carbon emission of indirect energy consumption in the logistics industry in Guangdong. To reduce energy consumption and carbon emissions in Guangdong, it is not only important to control the carbon emissions in the logistics industry, but strengthen carbon emission detection in relevant industries, improve the energy utilization rate and reduce emissions in other industries, and move towards low-carbon sustainable development.

scholarly journals Analysis of Office Rooms Energy Consumption Data in Respect to Meteorological and Direct Sun Exposure Conditions

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7590
Author(s):  
Adam Kula ◽  
Albert Smalcerz ◽  
Maciej Sajkowski ◽  
Zygmunt Kamiński
Keyword(s):  
Energy Consumption ◽  
Public Service ◽  
Residential Buildings ◽  
Sun Exposure ◽  
Building Energy ◽  
The West ◽  
Building Energy Management ◽  
Consumption Data ◽  
Office Rooms ◽  
The Impact

There are many papers concerning the consumption of energy in different buildings. Most describe residential buildings, with only a few about office- or public service buildings. Few articles showcase the use of energy consumption in specific rooms of a building, directed in different geographical directions. On the other hand, many publications present methods, such as machine learning or AI, for building energy management and prediction of its consumption. These methods have limitations and represent a certain level of uncertainty. In order to compare energy consumption of different rooms, the measurements of particular building-room parameters were collected and analyzed. The obtained results showcase the effect of room location, regarding geographical directions, for the consumption of energy for heating. For south-exposed rooms, due to sun radiation, it is possible to switch heating off completely, and even overheating of 3 °C above the 22 °C temperature set point occurs. The impact of the sun radiation for rooms with a window directed east or west reached about 1 °C and lasts for a few hours before noon for the east, and until late afternoon for the west.

Accounting for carbon emissions associated with tourism-related consumption

2018 ◽  
Vol 24 (5) ◽  
pp. 510-525 ◽  
Author(s):  
Meiwei Tang ◽  
Shouzhong Ge
Keyword(s):  
Carbon Dioxide ◽  
Gross Domestic Product ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Value Added ◽  
Total Carbon ◽  
Low Carbon ◽  
Input Output ◽  
Output Table ◽  
Goods And Services

This article explores the issues of carbon dioxide (CO2) emissions resulting from the production of the goods and services provided to supply tourism consumption. First, we define the scope of tourism activities and the resulting tourism consumption and tourism direct gross value added (TDGVA). Second, we calculate CO2 emissions for sectors and compile a carbon input-output table (CIOT). Third, we adjust the tourism-related products consumed according to the range of the corresponding sectors of the CIOT. Finally, we use Shanghai as an example to calculate the carbon emissions that result from tourism consumption using the input-output model. This study shows that the TDGVA accounted for 7.97% of the Gross Domestic Product (GDP) in 2012, whereas the carbon footprint of tourism accounted for 20.45% of total carbon emissions. The results demonstrate that tourism is not a low-carbon industry in Shanghai.

Study on Dynamic Change of Carbon Emission in Zhengzhou

2013 ◽  
Vol 291-294 ◽  
pp. 1353-1358
Author(s):  
Ya Li Li ◽  
Yao Chen Qin
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Industrial Production ◽  
Carbon Emission ◽  
Fossil Fuel ◽  
Dynamic Change ◽  
Total Carbon ◽  
Emission Model ◽  
Fossil Energy ◽  
The Impact

In order to explore the impact of the fossil energy consumption,industrial production and population on regional carbon cycle , this paper estimated the dynamic changes of carbon emissions from 2000 to 2009 in Zhengzhou based on the quantitative emission model proposed by IPCC and ORNL. The results show that the total carbon emissions in Zhengzhou was 48944.2 ×104t during 2000~ 2009, among which 83.3% came from fossil fuel combustion,7.7% from industrial production process and 9% came from population. The carbon emissions of fossil energy consumption and industrial production increases gradually.The carbon emission of coal was the highest among all kinds of fossil fuels,occupying 97.1% of the total emission of fossil fuel consumption. The carbon emissions increase progressively and surpass the national average level from 2000 to 2009 in China. And the carbon emissions for 100 million yuan GDP is increasing.Finally, some measures are proposed for the carbon emission reduction in Zhengzhou

Carbon Emissions Embodied in the International Trade of China

2010 ◽  
Vol 171-172 ◽  
pp. 183-187 ◽  
Author(s):  
Hui Zhou ◽  
Yong Yang
Keyword(s):  
Global Warming ◽  
International Trade ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Great Part ◽  
Carbon Accounting ◽  
Input Output ◽  
Output Table ◽  
Consumption Data ◽  
Global Emissions

This paper used input-output table and the energy consumption data by sector to estimate the effect of international trade on carbon emissions of China in 2007. The result shows that international trade has played a great part in increasing China’s carbon emissions. China is a net carbon exporter, with carbon emissions embodied in exports 583.4Mt, and emissions embodied in imports from 186.0 to 476.8 Mt, according to different assumptions taken. Besides, international trade increases the global emissions and makes the problem of global warming worse. Therefore the paper suggests that it is necessary to change the present ‘producer responsibility principle’ used in regional carbon accounting and allocate certain part of responsibility of the carbon emissions to consumers.

scholarly journals Spatial Configuration of Energy Consumption and Carbon Emissions of Shanghai, and Our Policy Suggestions

2017 ◽  
Vol 9 (1) ◽  
pp. 104 ◽  
Author(s):  
Kexi Pan ◽  
Yongfu Li ◽  
Hanxiong Zhu ◽  
Anrong Dang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Spatial Configuration ◽  
Policy Suggestions

scholarly journals Truck Arrivals Scheduling with Vessel Dependent Time Windows to Reduce Carbon Emissions

2019 ◽  
Vol 11 (22) ◽  
pp. 6410 ◽  
Author(s):  
Mengzhi Ma ◽  
Houming Fan ◽  
Xiaodan Jiang ◽  
Zhenfeng Guo
Keyword(s):  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Time Window ◽  
Container Terminal ◽  
Time Windows ◽  
Hybrid Genetic Algorithm ◽  
Total Carbon ◽  
Queuing Model ◽  
Marine Container Terminal

Irregular external truck arrivals at a marine container terminal often leads to long queues at gates and substantial greenhouse gas emissions. To relieve gate congestion and reduce carbon emissions, a new truck arrival pattern called “vessel dependent time windows (VDTWs)” is proposed. A two-phase queuing model is established to describe the queuing process of trucks at gate and yard. An optimization model is established to assign time window and appointment quota for each vessel in a marine container terminal running a terminal appointment system (TAS) with VDTWs. The objective is to minimize the total carbon dioxide emissions of trucks and rubber-tired gantry cranes (RTGCs) during idling. The storage capacity constraints of each block and maximum queue length are also taken into consideration. A hybrid genetic algorithm based on simulated annealing is developed to solve the problem. Results based on numerical experiments demonstrate that this model can substantially reduce the waiting time of trucks at gate and yard and carbon dioxide emissions of trucks and RTGCs during idling.

scholarly journals Analysis of carbon emission hot spot and pumping energy efficiency in water supply system

2018 ◽  
Vol 19 (1) ◽  
pp. 200-206
Author(s):  
Jr-Lin Lin ◽  
Shyh-Fang Kang
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Water Supply ◽  
Specific Energy ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Hot Spot ◽  
Specific Energy Consumption ◽  
Total Carbon ◽  
Pumping Efficiency

Abstract Evaluation of carbon emission hot spots for water treatment plants (WTPs) is crucial to reduce carbon emissions. This study aims to analyze carbon emission data generated at Bansin WTP following the PAS 2050 guidelines. The boundary of inventory and assessment includes water intake, purification, and distribution stages. In addition, pumping efficiency, power consumption per pump lift and specific energy consumption were used to estimate the potential of energy reduction in pumping for Bansin and Baoshan WTPs. The results have revealed that the carbon footprint of Bansin WTP is 0.39 kg CO2e/m3 in 2011. There is 95% of carbon emissions generated by pumping from the intake and distribution stages, and the use of pumping is responsible for 65% of total carbon emissions in the clarification stage. The power consumption per pump lift can be calculated to evaluate the difference between rated power and operational power. This relationship can provide information indicating to operators when to replace or maintain poorly-functioning pumps. The data on pump lift, flow rate and power can also be calculated to determine the relationship between pumping efficiency (%) and specific energy consumption (kW/Q), and then used to identify the optimum condition of pump combinations for a given production of water supply.

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