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.

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 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.

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

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.  

scholarly journals Constructing an Environmental Friendly Low-Carbon-Emission Intelligent Transportation System Based on Big Data and Machine Learning Methods

2020 ◽  
Vol 12 (19) ◽  
pp. 8118
Author(s):  
Tu Peng ◽  
Xu Yang ◽  
Zi Xu ◽  
Yu Liang
Keyword(s):  
Sustainable Development ◽  
Environmental Pollution ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Intelligent Transportation ◽  
Exhaust Emissions ◽  
Low Carbon ◽  
Vehicle Exhaust ◽  
The Sustainable Development ◽  
Low Carbon Emission

The sustainable development of mankind is a matter of concern to the whole world. Environmental pollution and haze diffusion have greatly affected the sustainable development of mankind. According to previous research, vehicle exhaust emissions are an important source of environmental pollution and haze diffusion. The sharp increase in the number of cars has also made the supply of energy increasingly tight. In this paper, we have explored the use of intelligent navigation technology based on data analysis to reduce the overall carbon emissions of vehicles on road networks. We have implemented a traffic flow prediction method using a genetic algorithm and particle-swarm-optimization-enhanced support vector regression, constructed a model for predicting vehicle exhaust emissions based on predicted road conditions and vehicle fuel consumption, and built our low-carbon-emission-oriented navigation algorithm based on a spatially optimized dynamic path planning algorithm. The results show that our method could help to significantly reduce the overall carbon emissions of vehicles on the road network, which means that our method could contribute to the construction of low-carbon-emission intelligent transportation systems and smart cities.

scholarly journals Energy Demand and Carbon Emission Peak Forecasting of Beijing Based on Leap Energy Simulation Method

2020 ◽  
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Demand ◽  
Carbon Emission ◽  
Simulation Method ◽  
Negative Influence ◽  
Low Carbon ◽  
Peak Value

<p>The long-term forecasting of the energy demand is an important issue of an area’s sustainable development, especially for mega cities such as Beijing. Beijing is changing its energy supply strategy to depend on energy imports from other provinces due to the city’s long-term low carbon sustainable development plan. Beijing has promised that it will reach the peak value of energy consumption by 2050 and the peak value of the carbon emissions by 2030. To understand whether this can be achieved, this study built an energy demand simulation model using the LEAP with different development scenarios. The results show that, the peak value of Beijing’s energy demand is between 108.25 and 131.74 Mtce during the period of 2044 to 2048, while the peak value of carbon emissions is between 134 and 139.38 million tons in 2025. We also find that adjusting the industry structure and improving the tertiary industry’s energy usage efficiency can be efficient ways to reduce energy consumption. These approaches not only reduce the negative influence of the economic development, but also achieve the energy saving and carbon emission reducing requirements. This study provides an interpretation of the implications for the future energy and climate policies of Beijing.</p>

scholarly journals Towards net-zero carbon performance: using demand side management and a low carbon grid to reduce operational carbon emissions in a UK public office

2021 ◽  
Vol 2069 (1) ◽  
pp. 012150
Author(s):  
E Burman ◽  
N Jain ◽  
M de-Borja-Torrejón
Keyword(s):  
Carbon Emissions ◽  
Demand Side Management ◽  
Carbon Intensity ◽  
Grid Integration ◽  
Demand Side ◽  
Low Carbon ◽  
Electricity Grid ◽  
Integration Strategy ◽  
Carbon Performance ◽  
And Control

Abstract This paper investigates the performance of an office building that has achieved a low carbon performance in practice thanks to a performance contract and Soft Landings approach. The findings show the potential of this building for further de-carbonisation as a result of electrification of heating and load shifting to take advantage of a low carbon electricity grid. Whilst retrospective modelling based on the past carbon intensity data shows the effectiveness of demand-side management, assessment of the existing smart readiness of the building revealed that the building services and control strategy are not fully equipped with the data analytics and carbon or price signal responsiveness required to facilitate grid integration. The environmental strategy and procurement method used for this building combined with an effective grid integration strategy can serve as a prototype for low carbon design to achieve the ever stringent carbon emissions objectives set out for the non-domestic buildings.

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.

Research on Low Carbonization of Tourism and its Sustainable Development in Qinhuangdao City

2014 ◽  
Vol 926-930 ◽  
pp. 4302-4305
Author(s):  
Lian Long Wang
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Education ◽  
Carbon Emissions ◽  
Professional Knowledge ◽  
Building Energy ◽  
Energy Utilization ◽  
Low Carbon ◽  
Advantages And Disadvantages ◽  
City Tourism

Low carbon tourism is necessary and feasible by analyzing the advantages and disadvantages of low-carbon tourism in Qinhuangdao city. Tourism traffic and building energy consumption should be the key point of carbon emissions in the future tourism. Some suggestions have been raised up such as optimize the tourism energy utilization, construct and promote low-carbon tourism demonstration areas, make environmental education to the tourists through various means and low carbon tourism professional knowledge training to the employees, arouse the enthusiasm of residents to participate in low carbon travel, improve the system of norms and strengthen management, and so on.

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.

Analysis on Determining Factors of Regional Construction Land Carbon Emissions

2014 ◽  
Vol 587-589 ◽  
pp. 3-6
Author(s):  
Na Lu ◽  
Yong Sun
Keyword(s):  
Energy Efficiency ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Guizhou Province ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Local Conditions ◽  
Intensity Effect ◽  
Construction Land ◽  
Industrial Carbon

It's important to discuss how to reduce construction land carbon emissions which is helpful for realizing low-carbon and efficient utilization of land. First, this paper chose three representative regions on construction land carbon intensity, namely Beijing, Hubei province and Guizhou province; second, based on LMDI method, it analyzed the contribution of different industrial carbon intensity effect and industrial structure effect to construction land carbon intensity in different regions between 2002 and 2008, the results show proposing the second industrials energy efficiency (65.11%) was crucial for Beijing, different industries's energy efficiency (110.5%) was important for Hubei, energy efficiency and industrial structure optimizing were crucial equally for Guizhou; finally it proposed different regions should find carbon reduction ways to local conditions.

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