An Optimal Model for Low-Carbon Urban Agglomeration Based on Energy Structure Reduction under Uncertainty

2012 ◽  
Vol 599 ◽  
pp. 211-215
Author(s):  
Lun Wang ◽  
Zhao Sun ◽  
Jing Ya Wen ◽  
Zhuang Li ◽  
Wen Jin Zhao ◽  
...  
Keyword(s):  
Regional Planning ◽  
Energy Intensity ◽  
Greenhouse Gas Emission ◽  
Urban Agglomeration ◽  
Carbon Intensity ◽  
Energy Structure ◽  
Low Carbon ◽  
Optimal Model ◽  
The Sustainable Development

This paper developed an optimal model of low-carbon urban agglomeration on the base of energy structure under uncertainty. The case study shows that the carbon intensity was decreased by [32.19, 41.20] (%) and energy intensity was reduced by [34.08, 43.19] (%) compared with those in 2010; meanwhile, the carbon intensity and energy intensity in the core area was reduced by [50.88, 54.11] (%) and [51.24, 54.57] (%) respectively, compared with those in 2010. The optimized scheme could not only meet the requirements of 12th Five-Year Planning Outline of Controlling Greenhouse Gas Emission, but also complied with the requirements of regional planning targets. The established model also provided more decision-making space for the sustainable development of low-carbon urban agglomeration.

An Optimal Model for Carbon Dioxide Emission Control in the Low-Carbon Urban Agglomeration Based on Sustainable Development of Economy, Society and Environment (2): A Case Study

2012 ◽  
Vol 610-613 ◽  
pp. 970-974
Author(s):  
Lun Wang ◽  
Zhao Sun ◽  
Zhuang Li ◽  
Wen Jin Zhao ◽  
Yu Li
Keyword(s):  
Sustainable Development ◽  
Regional Planning ◽  
Energy Intensity ◽  
Greenhouse Gas Emission ◽  
Carbon Dioxide Emission ◽  
Urban Agglomeration ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Optimal Model

Based on an urban agglomeration regional planning in 12th Five-Year Planning , selected two indicators of carbon intensity, energy intensity that were required by the regional planning, this paper developed an optimal model of low-carbon urban agglomeration on the base of sustainable development of economy, society and environment. The case study shows that the carbon emission level of urban agglomeration is 1.8×107 tons in 2015, and the carbon intensity was decreased by 19.00% and energy intensity was reduced by 39.17% compared with those in 2010; meanwhile, the carbon intensity and energy intensity in the core area was reduced by 40.00% and 41.86% respectively compared with those in 2010 subject to the conditions of carbon intensity, carbon sink area, energy intensity, GDP and so on. The optimized scheme could not only meet the requirements of carbon intensity decreased by 17.00%, energy intensity reduced by 16.00% in 2015 compared with those in 2010 proposed by 12th Five-Year Planning Outline of Controlling Greenhouse Gas Emission, but also complied with the requirements of carbon intensity decreased by 18.00% and energy intensity reduced by 20.00% of regional planning targets. The established model also provided more decision-making space for the sustainable development of low-carbon urban agglomeration.

An IFP Model for Carbon Footprint in Low-Carbon Urban Agglomeration under Uncertainty

2013 ◽  
Vol 663 ◽  
pp. 936-940
Author(s):  
Wen Jin Zhao ◽  
Lun Wang ◽  
Zhao Sun ◽  
Zhuang Li ◽  
Yu Li
Keyword(s):  
Carbon Footprint ◽  
Regional Planning ◽  
Energy Intensity ◽  
Greenhouse Gas Emission ◽  
Fuzzy Programming ◽  
Urban Agglomeration ◽  
Low Carbon ◽  
Gas Emission ◽  
The Sustainable Development

This paper corrected the existing optimization model of low-carbon urban agglomeration using interval fuzzy programming (IFP) method and several constraint conditions are revised according to the 12th Five Year Plan of the urban agglomeration. The case study shows that the carbon footprint of per unit GDP of urban agglomeration was decreased by [21.95, 57.32] (%) and energy intensity was reduced by [25.89, 50.81] (%) compared with those in 2010; meanwhile, the carbon footprint of per unit GDP and energy intensity in the core area was reduced by [18.90, 34.67] (%) and [22.36, 22.76] (%) respectively, compared with those in 2010. The optimized scheme complies with the requirements of the 12th Five-Year Planning Outline of Controlling Greenhouse Gas Emission and the regional planning targets. The corrected model also provided more decision-making space for the sustainable development of low-carbon urban agglomeration.

An Optimal Model for Carbon Dioxide Emission Control in the Low-Carbon Urban Agglomeration Based on Sustainable Development of Economy, Society and Environment (1): Modeling Construction

2012 ◽  
Vol 610-613 ◽  
pp. 975-979
Author(s):  
Tian Yi Pang ◽  
Zhao Sun ◽  
Zhuang Li ◽  
Wen Jin Zhao ◽  
Yu Li
Keyword(s):  
Sustainable Development ◽  
Carbon Emissions ◽  
Regional Planning ◽  
Agricultural Land ◽  
Carbon Dioxide Emission ◽  
Biomass Energy ◽  
Urban Agglomeration ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Optimal Model

Based on an urban agglomeration regional planning in the latest five-year plan, balanced urban agglomeration regional net carbon emissions and economic development space, this paper developed a net carbon emissions index system. On this basis, the minimum of regional urban agglomeration net carbon emissions as the optimized object, selected two indicators of carbon intensity, energy intensity that were required by the regional planning, this paper developed an optimal model of low-carbon urban agglomeration on the base of sustainable development of economy, society and environment, analyzed and studied the consumption of different fossil fuels, biomass energy and the carbon sinks area of agricultural land in the end of 12th Five-Year Plan, provided more decision-making space for the sustainable development of low-carbon urban agglomeration.

Influencing Factors and Decoupling Analysis of Carbon Emissions in China's Manufacturing Industry

2021 ◽  
Author(s):  
baoling jin ◽  
ying Han
Keyword(s):  
Carbon Emissions ◽  
Manufacturing Industry ◽  
Energy Intensity ◽  
Value Added ◽  
Carbon Intensity ◽  
Energy Structure ◽  
Investment Efficiency ◽  
Fixed Asset ◽  
Carbon Productivity ◽  
Fixed Asset Investment

Abstract The manufacturing industry directly reflects national productivity, and it is also an industry with serious carbon emissions, which has attracted wide attention. This study decomposes the influential factors on carbon emissions in China’s manufacturing industry from 1995 to 2018 into industry value added (IVA), energy consumption (E), fixed asset investment (FAI), carbon productivity (CP), energy structure (EC), energy intensity (EI), investment carbon intensity (ICI) and investment efficiency (IE) by Generalized Divisia Index Model (GDIM). The decoupling analysis is carried out to investigate the decoupling states of the manufacturing industry under the pressure of "low carbon" and "economy.” Considering the technological heterogeneity, we study the influential factors and decoupling status of the light industry and the heavy industry. The results show that: (1) Carbon emissions of the manufacturing industry present an upward trend, and the heavy industry is the main contributor. (2) Fixed asset investment (FAI), industry value added (IVA) are the driving forces of carbon emissions. Investment carbon intensity (ICI), carbon productivity (CP), investment efficiency (IE), and energy intensity (EI) have inhibitory effects. The impact of the energy consumption (E) and energy structure (EC) are fluctuating. (3) The decoupling state of the manufacturing industry has improved. Fixed asset investment (FAI), industry value added (IVA) hinder the decoupling; carbon productivity (CP), investment carbon intensity (ICI), investment efficiency (IE), and energy intensity (EI) promote the decoupling.

scholarly journals A Factor Decomposition on China’s Carbon Emission from 1997 to 2012 Based on IPAT-LMDI Model

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Wei Li ◽  
Ya-Bo Shen ◽  
Hui-Xia Zhang
Keyword(s):  
Development Strategy ◽  
Carbon Dioxide Emissions ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Scale Effects ◽  
Assessment System ◽  
Energy Structure ◽  
Low Carbon ◽  
Economic Output ◽  
Population Scale

We probe into the key factors that possess significant effects on China’s CO2emissions during 1997–2012 on the basis of IPAT-LMDI model. Carbon dioxide emissions are specifically decomposed into CO2emission intensity, energy structure, energy intensity, industrial structure, economic output, and population scale effects. Results indicate that the paramount driving factors that resulted in the growth of CO2emissions are economic output, population scale, and energy structure. In contrast, energy intensity and industrial structure generally play an outstanding role in reducing emissions. This paper constructs a new weight assessment system by introducing “contribution value-significant factor-effect coefficient” to replace “contribution value-contribution rate” in the previous literature. According to the most significant positive effect and the most negative effect from the conclusion, we point out the effective policies that can not only accelerate the target of “China’s carbon emissions per unit of GDP could be cut down by 40–45% by 2020, from 2005 levels,” but also have crucial significance on the low-carbon economic development strategy of China.

Smart Grid and its Application

2014 ◽  
Vol 986-987 ◽  
pp. 533-536
Author(s):  
Yu Wei Li
Keyword(s):  
Smart Grid ◽  
Rapid Development ◽  
The United States ◽  
Developing Strategy ◽  
Energy Structure ◽  
Low Carbon ◽  
The Sustainable Development ◽  
Low Carbon Economy ◽  
The World ◽  
Key Issues

Smart grid could meet the electricity demand against the rapid development of economy and society. The idea to implement smart grid is fully in accordance with the energy developing strategy and it will exert far-reaching impact on the adjustment of energy structure, the sustainable development of society as well as low-carbon economy. Currently, smart grid has attracted wide attention around the world and major countries in the world have been carrying out related researches. This paper describes the background and basic concepts of the smart grid, and takes the United States, European Union and China for example to introduce the development characteristics and typical projects. Besides, this paper analyzes and compares the smart grid in U.S., E.U. and China and gives related suggestions on the key issues of the development of smart grid in China.

Calculation and Evaluation Methodology of Transport Energy Consumption and Carbon Emissions: A Case Study of Jiangsu Province

2014 ◽  
Vol 962-965 ◽  
pp. 1293-1302 ◽  
Author(s):  
Bin Ouyang ◽  
Zhen Hua Feng ◽  
Qing Hua Bi
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Intensity ◽  
Jiangsu Province ◽  
Policy Implications ◽  
System Structure ◽  
Evaluation Methodology ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Carbon Transport

The calculation methodology of transport carbon emissions, based on the methodology recommended by Intergovernmental Panel on Climate Change (IPCC) and the energy consumption statistics of provincial transport industry in China, is proposed. By using the methodology, the energy consumption and carbon emissions of highway, waterway and urban passenger transport from 2005 to 2012 of Jiangsu Province are calculated and evaluated. And the developing trends and main features from the perspectives of the total amount of transport energy consumption and carbon emissions, the proportional of both various energy types and various transport modes in the energy consumption, the energy intensity and carbon dioxide intensity, are systematically analyzed. Finally, some policy implications of low-carbon transport development were conclusively put forward, including reducing energy intensity and carbon intensity as the core focus, the highway transport as the breakthrough point, optimizing the integrated transport system structure and developing of public transport in priority as the strategic orientation, developing clean and low-carbon energy as an important way, etc. The research methodology and results can provide references for decision-making and management of the relevant provinces and cities on low-carbon transport development.

scholarly journals Urban Site Development as Temporal Carbon Storage—A Case Study in Germany

2020 ◽  
Vol 12 (14) ◽  
pp. 5827
Author(s):  
Annette Hafner ◽  
Simon Slabik ◽  
Michael Storck
Keyword(s):  
Life Cycle ◽  
Carbon Storage ◽  
Energy Demand ◽  
High Standard ◽  
Urban Site ◽  
Low Carbon ◽  
Building Site ◽  
The Sustainable Development ◽  
Lca Results

Increasing the use of sustainably sourced wood in construction for temporal carbon storage could be one vital part in the transition towards reaching the sustainable development goals for climate action and sustainable cities and communities. This paper explains the detailed steps from the planning to the realization process and shows how building with wood could be linked to the entire process from the sales of building plots to the realization of projects. Additionally, based on EN 15978, life cycle assessment (LCA) results of the constructed buildings were conducted to calculate the realistic carbon storage and the global warming potential for all new erected buildings on the site. The case study area and living lab is a building site in Munich with 566 flats, which will be finished in 2020 and will be the largest urban timber neighborhood in Germany by then. All development activities are summarized under the concept of building an eco-city with low carbon emissions and a high standard for living for all groups of inhabitants. Eight buildings with different material selections ranging from wood-constructions to wood-concrete hybrid constructions and concrete constructions with different energy standards are environmentally assessed. Results show that about 12.5 million kg of CO2 are stored in the wooden structures over the estimated life cycle of 50 years within this neighborhood. This clearly demonstrates the potential that building with wood has for achieving climate targets. Further results show that heating energy demand and material choices have a significant influence on LCA results.

scholarly journals Evaluation of Greenhouse Gas Emissions and Related Aspects: Case of the Czech Republic

2015 ◽  
Vol 63 (1) ◽  
pp. 281-292 ◽  
Author(s):  
Veronika Solilová ◽  
Danuše Nerudová
Keyword(s):  
Czech Republic ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Energy Intensity ◽  
Greenhouse Gas Emission ◽  
Value Added ◽  
Carbon Intensity ◽  
Gas Emissions ◽  
The Czech Republic ◽  
Carbon Productivity

The most important drivers of increasing greenhouse gas emissions are increasing world’s population, economic development resulting in higher level of productions and consumption, but also unanticipated increases in the energy intensity of GDP and in the carbon intensity of energy. The EU committed to reduce their greenhouse gas emissions by 20% until 2020 or 40% until 2030 compared to 1990 levels of the Kyoto Protocol. The Czech Republic enlarged EU in 2004 as a country from Eastern Europe where usually the heavy industries or agriculture prevail over other sectors. The aim of the paper was an evaluation of the development of greenhouse gas emissions and related aspects in the industry of the Czech Republic. Based on the results was concluded that although greenhouse gas emissions of the Czech Republic are deeply below the Kyoto targets, there are areas for improvements e.g. in case of energy intensities, as well as in case of carbon intensity and carbon productivity, where the Czech Republic reaches worse results than the EU28. Therefore is recommended to decrease greenhouse gas emission and increase gross value added generated by each NACE sector. Both those factors will impact on improvement of energy intensity, carbon productivity as well as greenhouse gas emissions per capita.

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