Spatial Characteristic of Coal Production-Based Carbon Emissions in Chinese Mining Cities

The objective of this paper is to investigate CO2 emissions in the production of coal sources at the prefecture level and to analyze their spatial distribution and regional differences based on the spatial autocorrelation and standard deviational ellipse analysis. The results indicate that Chinese coal production from 2018 will most likely generate 485.23 million tons of CO2 emissions, and there still exists an obvious gap between the five coal development districts in terms of their CO2 emissions. A significant clustering pattern and positive spatial autocorrelation are revealed in the coal production-based carbon emissions in China. In addition, the spatial pattern of coal production-based CO2 emissions has an obvious central tendency and directional trend, and the ellipse direction is quite consistent with the Aihui–Tengchong Line. Our findings suggest that energy policy-makers should be concerned about the carbon emission effect when implementing regional coal development plans and actively guide the formation of a low-carbon spatial strategic pattern of coal production with a directional distribution of CO2 emissions perpendicular to the Aihui–Tengchong Line.

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Carbon Emissions Constrained Energy Planning for Aluminum Products

Energies ◽

10.3390/en13112753 ◽

2020 ◽

Vol 13 (11) ◽

pp. 2753

Author(s):

Rok Gomilšek ◽

Lidija Čuček ◽

Marko Homšak ◽

Raymond R. Tan ◽

Zdravko Kravanja

Keyword(s):

Energy Source ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Co2 Emissions ◽

Carbon Emissions ◽

Electricity Consumption ◽

Primary Aluminum ◽

Energy Planning ◽

Low Carbon ◽

Gas Emissions

The production of primary aluminum is an energy-intensive industry which produces large amounts of direct and indirect greenhouse gas emissions, especially from electricity consumption. Carbon Emissions Constrained Energy Planning proved to be an efficient tool for reducing energy-related greenhouse gas emissions. This study focuses on energy planning constrained by CO2 emissions and determines the required amount of CO2 emissions from electricity sources in order to meet specified CO2 emission benchmark. The study is demonstrated on and applied to specific aluminum products, aluminum slugs and aluminum evaporator panels. Three different approaches of energy planning are considered: (i) an insight-based, graphical targeting approach, (ii) an algebraic targeting approach of cascade analysis, and (iii) an optimization-based approach, using a transportation model. The results of the three approaches show that approximately 2.15 MWh of fossil energy source should be replaced with a zero-carbon or 2.22 MWh with a low-carbon energy source to satisfy the benchmark of CO2 emissions to produce 1 t of aluminum slug; however, this substitution results in higher costs. This study is the first of its kind demonstrated on and applied to specific aluminum products, and represents a step forward in the development of more sustainable practices in this field.

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Spatial cluster and Heterogeneity Research on Energy-Related Carbon Emissions in Districts and Counties of Guangdong Province

E3S Web of Conferences ◽

10.1051/e3sconf/20197903019 ◽

2019 ◽

Vol 79 ◽

pp. 03019

Author(s):

Wenxiu Wang ◽

Shangjun Ke ◽

Daiqing Zhao ◽

Guotian Cai

Keyword(s):

Spatial Autocorrelation ◽

Carbon Emissions ◽

Carbon Emission ◽

Guangdong Province ◽

Total Carbon ◽

Low Carbon ◽

Cluster Area ◽

Reduce Emissions ◽

Global Spatial Autocorrelation ◽

High Cluster

Energy-related carbon emissions in districts and counties of Guangdong province from 2005 to 2016 are researched based on spatial econometrics method in this article, and significance cluster area and heterogeneity area are precise pinpointed. Conclusions are as follows: (1) total carbon emissions and per capita carbon emissions exist significance global spatial autocorrelation in the year 2005-2016, and formed significance high-high cluster area in districts and counties of Guangzhou city, Shenzhen city and Dongguan city. It also formed three significance low-low cluster areas in districts and counties of eastern, western and northern of Guangdong province. Low-high heterogeneity area and high -low heterogeneity area often appears in the scope of high-high cluster area and low-low cluster area. (2)Carbon emission intensity not exist significance global spatial autocorrelation, but exist significance cluster area and heterogeneity area in the ecological development areas of eastern, western and northern of Guangdong province. In the end, the paper puts forward the regional and detailed policy recommendations for efficient carbon emission reduction for each cluster type region: carbon high-high cluster areas are priority reduce emissions area, heighten energy saving technology and optimize industrial structure are two grippers to reduce emissions. Low - low carbon emissions concentrated area in western of Guangdong should primarily develop high and new technology industry. Low low carbon emissions concentrated areas and high - high carbon emissions intensity concentrated area for eastern and northern of Guangdong province should try hard to wins ecological compensation at the same time focus on developing ecological tourism.

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Analysis of China’s Carbon Emissions Base on Carbon Flow in Four Main Sectors: 2000–2013

10.20944/preprints201703.0169.v1 ◽

2017 ◽

Cited By ~ 1

Author(s):

Xin Li ◽

Xiandan Cui ◽

Minxi Wang

Keyword(s):

Co2 Emissions ◽

Carbon Emissions ◽

Carbon Flow ◽

Emissions Reduction ◽

Energy Structure ◽

Low Carbon ◽

Coal Consumption ◽

Co2 Intensity ◽

Secondary Industry ◽

The Government

Reducing carbon emissions is a major ways to achieving green development and sustainability for China’s future. This paper elaborates the detailed feature of China's carbon flow for 2013 with the carbon flow chart and gives changing characteristics of China's CO2 flow from the viewpoint of sector and energy during 2000 and 2013. The results show that (1) during 2000 to 2013, China's CO2 emissions with the approximately growth portion of 9% annually, while the CO2 intensity of China diminishes at different rates. (2) The CO2 emissions from secondary industry are prominent from the perspective of four main sectors accounting for 83.5%. The manufacturing play an important part in the secondary industry with 45%. In which the "smelting and pressing of metal" takes up a large percentage as about 50% in manufacturing. (3) The CO2 emissions produced by coal consumption is keep dominant in energy-related emissions with a contribution of 65%, while it will decrease in the future. (4) From the aspect of sector, the CO2 emissions mainly come from the "electricity and heating" sector and the "smelting and pressing of metals" sub-sector. While it is essential and urgent to propose concrete recommendations for CO2 emissions mitigation. Firstly, the progression of creative technology is inevitable and undeniable. Secondly, the government should make different CO2 emissions reduction policies among different sectors. For example, the process emission plays an important role in "non-metallic mineral" while in "smelting and manufacturing of metals" it is energy. Thirdly, the country can change the energy structure and promote renewable energy for powering by wind or other low-carbon energy. Besides it, the coke oven gas can be a feasible substitution. Finally, policy maker should be aware of the emissions from residents have been growing in a fast rate. It is effective to involve the public in the activity of energy conservation and carbon emissions reduction such as reducing the times of personal transportation.

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City-Level Features of Energy Footprints and Carbon Dioxide Emissions in Sichuan Province of China

Energies ◽

10.3390/en12102025 ◽

2019 ◽

Vol 12 (10) ◽

pp. 2025 ◽

Cited By ~ 1

Author(s):

Junbo Wang ◽

Liu Chen ◽

Lu Chen ◽

Xiaohui Zhao ◽

Minxi Wang ◽

...

Keyword(s):

Co2 Emissions ◽

Carbon Emissions ◽

Sichuan Province ◽

Provincial Government ◽

Western China ◽

Western Region ◽

Low Carbon ◽

Central Regions ◽

Low Carbon Development ◽

The Western Region

The sustainable development of the western region of China has always been essential to the national development strategy. The Western region has undertaken an industrial transfer from the Eastern and Central regions. Therefore, the CO2 emission intensity in the western region is higher than those of the Eastern and Central regions of China, and consequently its low-carbon development pathway has an important impact for China as a whole. Sichuan Province is not only the province with the highest CO2 emissions, but also the most economically developed province in Western China in 2018. In order to promote low carbon development in the western region, it is important to understand the features of emissions in Sichuan Province and to formulate effective energy strategies accordingly. This paper uses the IPCC regional emission accounting method to calculate the carbon emissions of 15 cities in Sichuan province, and to comply with the city-level emission accounts. The results show that the total carbon emissions of Sichuan province over the past 10 years was 3258.32 mt and reached a peak in 2012. The smelting and pressing of ferrous metals, coal mining and dressing were the leading sectors that contributed to the emissions, accounting for 17.86% and 15.82%, respectively. Raw coal, cleaned coal, and coke were the most significant contributors to CO2 emissions, accounting for 43.73%, 9.55%, and 6.60%, respectively. Following the above results, the Sichuan provincial government can formulate differentiated energy structure policies according to different energy consumption structures and carbon emission levels in the 15 cities. By controlling the level of total emissions and regulating larger industrial emitters in Sichuan province, some useful information could be provided as an essential reference for low-carbon development in Western China, and contribute to the promotion of emissions mitigation from a more holistic perspective.

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Regional CO2 Budget and Abatement Countermeasures for Forest Scenic Spots: A Case Study of the Shenyang National Forest Park

Sustainability ◽

10.3390/su13020861 ◽

2021 ◽

Vol 13 (2) ◽

pp. 861

Author(s):

Dan He ◽

Ke Chen ◽

Tingting Zhang ◽

Mingfang Yin ◽

Xiaoliang Shi ◽

...

Keyword(s):

Co2 Emissions ◽

Carbon Emissions ◽

Negative Impact ◽

National Forest ◽

Universal Method ◽

Low Carbon ◽

Carbon Sinks ◽

Intergovernmental Panel ◽

Forest Park ◽

Greenhouse Gas Inventories

We used the carbon carrying capacity as an indicator of environmental productivity, clarified the emission reduction thresholds and measures for achieving a carbon neutral tourism destination, and proposed a simple, objective, and universal method for estimating the carbon budget of forest tourism scenic spots with function of both carbon sinks and carbon emissions. According to the Intergovernmental Panel on Climate Change Guidelines for Greenhouse Gas Inventories and the Climate Friendly Parks tool, a carbon emissions list with a clear border and relatively complete content was established to characterize the negative impact of tourism activities on the environment. Forest resource inventory data and the CO2Fix method could be used to accurately calculate the carbon sinks of forest tourism scenic spots. In 2019, the total CO2 emissions in Shenyang National Forest Park were 1841.445 t. The amount of CO2 sequestered by the forest was 1336.787 t, accounting for 72.59% of the total CO2 emissions. Thus, tourism had a net CO2 deficit of 504.658 t. Electricity consumption, garbage disposal, raw coal consumption, infrastructure construction, and land-use changes of forestland were the top five sources of CO2 emissions. The augmentation of the carbon pool could be improved by 65.358% of the total budget through forest management. The reduction aims of 133.41%–150.32% could be easily reached through emissions-cutting measures. Based on these results, we suggest several measures for low-carbon sustainable tourism.

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Measuring the Renewable Energy Efficiency at the European Union Level and Its Impact on CO2 Emissions

Processes ◽

10.3390/pr7120923 ◽

2019 ◽

Vol 7 (12) ◽

pp. 923 ◽

Cited By ~ 2

Author(s):

Mihail Busu

Keyword(s):

European Union ◽

Renewable Energy ◽

Co2 Emissions ◽

Carbon Emissions ◽

Fixed Effects ◽

Positive Impact ◽

Low Carbon ◽

The European Union ◽

Multilinear Regression ◽

The Impact

Low carbon emissions have a great importance in our life. The increasing importance of carbon emission levels have attracted the interests of researchers and academics in the field. In this article, a panel data econometric model is developed to measure the relationship between renewable energy, energy productivity, population, urbanization, motorization, and Gross Domestic Product (GDP) per capita and their impacts on carbon dioxide CO2 emissions. Data used in this study was collected from the European Statistical Office (EUROSTAT) and five statistical hypotheses were tested and validated through a multilinear regression model using the Econometric Views (Eviews) 10.0 statistical software. The Hausman test was used to choose between a model with fixed effects and a model with random effects, and the variance inflection factor (VIF) was used to test the collinearity between the independent variables. The author’s findings indicate that renewable energy at the European Union (EU) level has a positive impact on low-carbon emissions. It was found that a 1% increase in renewable energy consumption would reduce the CO2 emissions by 0.11 million tons, while population growth and urbanization degree add more restrictions to the econometric equation of the impact on carbon emissions.

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The Implementation Approach of LCCF Checklist in Development Control: Challenges for policymakers

Environment-Behaviour Proceedings Journal ◽

10.21834/e-bpj.v4i12.1910 ◽

2019 ◽

Vol 4 (12) ◽

Author(s):

T B A

Keyword(s):

Climate Change ◽

Sustainable Development ◽

Carbon Emissions ◽

Local Authority ◽

Survey Methods ◽

Local Level ◽

Control Process ◽

Low Carbon ◽

Local Authorities ◽

Development Control

Global warming, climate change is now affecting the world. The effort of the leaders to achieving the sustainable development is from New Urban Agenda (NUA), Sustainable Development Goals (SDG’s) and local level is local authorities. SDG’s goal number 13 takes urgent action to combat climate change and its impact also SDG’s number 11 to sustainable cities and communities. The gap of this paper Different cities face different challenges and issues. Local authorities will play a significant role in undertaking policy initiatives to combat carbon emissions of the city. Low Carbon Cities (LCC) is to reduce carbon emissions in all human activities in cities. The objective of this paper is by applying the LCCF Checklist in planning permission for sustainable development. The methodology of this research is a mixed-method, namely quantitative and qualitative approach. The survey methods are by interview, questionnaire, and observation. Town planners are the subject matter expert in managing the planning permission submission for the development control of their areas. Descriptive statistical analysis will be used to show the willingness of the stakeholders, namely the developers and planning consultants in implementing of the LCCF. The contribution of this research will gauge readiness at the local authorities level. The findings of the LCCF checklist are identified as important in planning permission into the development control process. Surprisingly, that challenges and issues exist in multifaceted policy implementation the LCCF Checklist in a local authority. Finally based on Subang Jaya Municipal Councils, the existing approach in the application of the LCCF Checklist in the development control process will be useful for development control in a local authority towards sustainable development.

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Carbon Emission Estimation of Assembled Composite Concrete Beams during Construction

Energies ◽

10.3390/en14071810 ◽

2021 ◽

Vol 14 (7) ◽

pp. 1810

Author(s):

Kaitong Xu ◽

Haibo Kang ◽

Wei Wang ◽

Ping Jiang ◽

Na Li

Keyword(s):

Life Cycle ◽

Carbon Emissions ◽

Emission Reduction ◽

Carbon Emission ◽

Composite Beams ◽

Total Carbon ◽

Construction Process ◽

Low Carbon ◽

Carbon Emission Reduction ◽

The Government

At present, the issue of carbon emissions from buildings has become a hot topic, and carbon emission reduction is also becoming a political and economic contest for countries. As a result, the government and researchers have gradually begun to attach great importance to the industrialization of low-carbon and energy-saving buildings. The rise of prefabricated buildings has promoted a major transformation of the construction methods in the construction industry, which is conducive to reducing the consumption of resources and energy, and of great significance in promoting the low-carbon emission reduction of industrial buildings. This article mainly studies the calculation model for carbon emissions of the three-stage life cycle of component production, logistics transportation, and on-site installation in the whole construction process of composite beams for prefabricated buildings. The construction of CG-2 composite beams in Fujian province, China, was taken as the example. Based on the life cycle assessment method, carbon emissions from the actual construction process of composite beams were evaluated, and that generated by the composite beam components during the transportation stage by using diesel, gasoline, and electric energy consumption methods were compared in detail. The results show that (1) the carbon emissions generated by composite beams during the production stage were relatively high, accounting for 80.8% of the total carbon emissions, while during the transport stage and installation stage, they only accounted for 7.6% and 11.6%, respectively; and (2) during the transportation stage with three different energy-consuming trucks, the carbon emissions from diesel fuel trucks were higher, reaching 186.05 kg, followed by gasoline trucks, which generated about 115.68 kg; electric trucks produced the lowest, only 12.24 kg.

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Assessing CO2 Emissions from Passenger Transport with the Mixed-Use Development Model in Shenzhen International Low-Carbon City

Land ◽

10.3390/land10020137 ◽

2021 ◽

Vol 10 (2) ◽

pp. 137

Author(s):

Xianchun Tan ◽

Tangqi Tu ◽

Baihe Gu ◽

Yuan Zeng ◽

Tianhang Huang ◽

...

Keyword(s):

Land Use ◽

Co2 Emissions ◽

Travel Demand ◽

Development Model ◽

Low Carbon ◽

Passenger Transport ◽

Transport Accessibility ◽

Mixed Use ◽

Mixed Land Use ◽

Low Carbon City

Assessing transport CO2 emissions is important in the development of low-carbon strategies, but studies based on mixed land use are rare. This study assessed CO2 emissions from passenger transport in traffic analysis zones (TAZs) at the community level, based on a combination of the mixed-use development model and the vehicle emission calculation model. Based on mixed land use and transport accessibility, the mixed-use development model was adopted to estimate travel demand, including travel modes and distances. As a leading low-carbon city project of international cooperation in China, Shenzhen International Low-Carbon City Core Area was chosen as a case study. The results clearly illustrate travel demand and CO2 emissions of different travel modes between communities and show that car trips account for the vast majority of emissions in all types of travel modes in each community. Spatial emission differences are prominently associated with inadequately mixed land use layouts and unbalanced transport accessibility. The findings demonstrate the significance of the mixed land use and associated job-housing balance in reducing passenger CO2 emissions from passenger transport, especially in per capita emissions. Policy implications are given based on the results to facilitate sophisticated transport emission control at a finer spatial scale. This new framework can be used for assessing the impacts of urban planning on transport emissions to promote sustainable urbanization in developing countries.

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Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽

10.3390/en14113165 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3165

Author(s):

Eva Litavcová ◽

Jana Chovancová

Keyword(s):

Economic Growth ◽

Energy Consumption ◽

Co2 Emissions ◽

Carbon Emissions ◽

Bounds Testing ◽

Mutual Cooperation ◽

Long Run ◽

Short Run ◽

Danube Region ◽

The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

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