scholarly journals A Carbon Emission Calculation Model for Roadside Parking

2021 ◽  
Vol 18 (4) ◽  
pp. 1906
Author(s):  
Wei Wang ◽  
Hongming Zhong ◽  
Yu Zeng ◽  
Yachao Liu ◽  
Jun Chen
Keyword(s):  
Carbon Emissions ◽  
Traffic Congestion ◽  
Carbon Emission ◽  
Rapid Development ◽  
Measurement Model ◽  
Motor Vehicles ◽  
Estimation Methods ◽  
Future Research ◽  
Emission Measurement ◽  
Emission Model

With the sustained and rapid development of China’s national economy, the number of motor vehicles owned by families in cities is rapidly growing. Consequently, problems of traffic congestion and air pollution have also appeared in these cities. Roadside parking traffic has also become an important part of the transportation system in cities. However, there is no specific measurement model for carbon emissions caused by roadside parking in the proposed traffic carbon emission model. Therefore, we aim to establish a carbon emission measurement model for roadside parking. In this paper, we first study the characteristics of the deceleration and maneuvering of parking vehicles and the blocking impact on running vehicles in a typical roadside parking scenario. We then establish and fit models of the direct and indirect carbon emissions during roadside parking. Based on the carbon emission model, we propose a calculation method for roadside parking carbon emissions, including accounting and estimation methods. These models can be used to calculate the carbon emissions from roadside parking in a traffic carbon emissions system. We also hope that these models will help future research on the optimization of roadside parking facilities for energy saving and emission reduction.

scholarly journals Road Traffic Status and Carbon Emission Estimation Methods

2020 ◽  
Vol 7 (2) ◽  
pp. p34
Author(s):  
Yang Kaixi
Keyword(s):  
Carbon Emissions ◽  
Traffic Congestion ◽  
Carbon Emission ◽  
Evaluation Method ◽  
Road Traffic ◽  
Estimation Methods ◽  
Vehicle Exhaust ◽  
Emission Data ◽  
Traffic Conditions ◽  
The Impact

This paper mainly studies the relationship between traffic status and carbon emission, and the evaluation method of carbon emission based on traffic status. First of all, the traffic status is defined. In this paper, the traffic status is divided into traffic congestion and unobstructed traffic. Then, this paper analyzes the influence of different traffic conditions on carbon emissions in the same fleet at the same time through the study of vehicle exhaust emissions in both the unobstructed and congested traffic conditions. The unobstructed section traffic is used to simulate the unobstructed traffic state, and the intersection is used to simulate the traffic congestion. Finally, the two kinds of carbon emission data are compared to obtain the impact of traffic status on carbon emissions.

scholarly journals Shanghai Port Carbon Emission Measurement Study

2021 ◽  
Vol 2 (1) ◽  
pp. 21-29
Author(s):  
Ling Zhang
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Carbon Dioxide Emission ◽  
Measurement Model ◽  
General Term ◽  
Knowledge System ◽  
Emission Measurement ◽  
The Sustainable Development ◽  
Change Trend ◽  
Emission Changes

Port carbon emission is a general term for greenhouse gas emissions generated by ports in production activities and by ships in port areas during navigation and berthing. Accurate measurement of port carbon emissions and analysis of the time series characteristics of port carbon emissions are the prerequisite and foundation for revealing the deep mechanism of port carbon emission changes, which is of great significance to China's port carbon emission reduction. The article will refer to the relevant carbon emission measurement process and methods, take Shanghai port during 2010-2019 as the research object, construct a carbon emission measurement model of Shanghai port, and quantitatively analyze the port carbon emission based on the measurement model and the collected data, and study the change trend and characteristics of carbon dioxide emission of Shanghai port, so as to further supplement and improve the carbon emission knowledge system of the port industry and promote China's port This will further improve the carbon emission knowledge system of the port industry and promote the sustainable development of China's ports.

scholarly journals Estimation of Vehicle Carbon Emissions in China Accounting for Vertical Curve Effects

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Yaping Dong ◽  
Jinliang Xu
Keyword(s):  
Fuel Consumption ◽  
Carbon Emissions ◽  
Vertical Profile ◽  
Carbon Emission ◽  
Emission Rate ◽  
Field Tests ◽  
Emission Model ◽  
Low Carbon ◽  
Conversion Model ◽  
Longitudinal Slope

Predicting vehicle carbon emissions on vertical curve sections can provide guidance for low-carbon vertical profile designs. Given that the influence of vertical curve design indicators on the fuel consumption and CO2 emissions of vehicles are underexplored, this study filled this research gap by establishing a theoretical carbon emission model of vehicles on vertical curve sections. The carbon emission model was established based on Xu’s vehicle energy conversion model, the conversion model of energy, fuel consumption, and CO2 emissions. The accuracy of the theoretical carbon emission model and the CO2 emission rules on vertical curve sections were verified by field test results. Field tests were carried out on flat sections, longitudinal slope sections, and various types of vertical curve sections, with five common types of vehicles maintaining cruising speed. The carbon emission rate effects on the vertical curve are closely related to the gradient and irrelevant of the radius. On the vertical profile composed with downhill/asymmetric/symmetrical vertical curve with a gradient greater than the balance gradient, the carbon emission rate is determined by the gradient and radius. The influence of the gradient on carbon emissions of vehicle on these vertical profiles was more significant than the radius. The radius is irrelevant to the carbon emission rate on the other forms of vertical profile. These results may benefit highway designers and engineers by providing guidelines regarding the environmental effects of highway vertical curve indexes.

scholarly journals Carbon-Efficient Production Scheduling of a Bioethanol Plant Considering Diversified Feedstock Pelletization Density: A Case Study

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1189
Author(s):  
Xinchao Li ◽  
Xin Jin ◽  
Shan Lu ◽  
Zhe Li ◽  
Yue Wang ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Optimization Model ◽  
Production Scheduling ◽  
Raw Materials ◽  
Future Research ◽  
Efficient Production ◽  
Emission Model ◽  
Planning And Scheduling ◽  
Production Planning And Scheduling ◽  
Total Profit

This paper presents a dual-objective optimization model for production scheduling of bioethanol plant with carbon-efficient strategies. The model is developed throughout the bioethanol production process. Firstly, the production planning and scheduling of the bioethanol plant’s transportation, storage, pretreatment, and ethanol manufacturing are fully considered. Secondly, the carbon emissions in the ethanol manufacturing process are integrated into the model to form a dual-objective optimization model that simultaneously optimizes the production plan and carbon emissions. The effects of different biomass raw materials with optional pelletization density and pretreatment methods on production scheduling are analyzed. The influence of demand and pretreatment cost on selecting a pretreatment method and total profit is considered. A membership weighted method is developed to solve the dual-objective model. The carbon emission model and economic model are integrated into one model for analysis. An example is given to verify the effectiveness of the optimization model. At the end of the paper, the limitation of this study is discussed to provide directions for future research.

scholarly journals The Research on Traffic Congestion Problem in Beijing Based on Random Effect Model

2021 ◽  
Vol 5 (3) ◽  
pp. p1
Author(s):  
Zhipeng Zhang ◽  
Chujun Zhao
Keyword(s):  
Traffic Congestion ◽  
Demand Curve ◽  
Rapid Development ◽  
Heavy Traffic ◽  
Supply And Demand ◽  
Random Effect ◽  
Random Effect Model ◽  
Economic Loss ◽  
Motor Vehicles ◽  
Traffic Light

With the advancement of urbanization and the rapid development of the economy, the number of motor vehicles has also increased sharply, which has led to the increasingly heavy traffic congestion problem, especially in the international metropolis like Beijing. It is more serious, bringing economic loss and seriously affecting its further development. Therefore, it is of great importance to solve the problem in Beijing. In response to the above issue, despite the introduction and implementation of a series of measures in Beijing, it is still unable to properly solve the traffic congestion problem. Today, traffic congestion in Beijing still exists. This paper will mainly start from the causes of traffic congestion, and analyze the problems and phenomena based on the random effects model to obtain the reasons. According to the goal of relieving the traffic congestion problem, we will use the traffic supply and demand theory combined with the actual traffic situation, establish the traffic light model, the travel optimization model and the automobile demand curve model. With the hypothesis, simulation and analysis, we drew the corresponding conclusions. At the same time, the corresponding policy recommendations were put forward to relieve the traffic congestion problem in Beijing.

Indirect Carbon Emission Measurement of Electric Vehicle in China

2013 ◽  
Vol 470 ◽  
pp. 772-776 ◽  
Author(s):  
Shou Jun Huang ◽  
Yu Long Ren
Keyword(s):  
Life Cycle ◽  
Electric Vehicle ◽  
Carbon Emissions ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Carbon Equivalent ◽  
Emission Measurement ◽  
Life Cycle Theory ◽  
Emission Standards ◽  
The Eu

The issue of carbon emissions by electric vehicle(EV) was studied using life cycle theory, and the work provided decision basis for creating China’s CO2 emission standards for auto. The results show that the carbon equivalent emission of coal-fired generation side per unit electricity consumed by EV is lower than the level of normal passenger car in China, but still higher than the forced limit on auto emission within the EU.

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

scholarly journals A Carbon Emission Measurement Method for Individual Travel Based on Transportation Big Data: The Case of Nanjing Metro

2020 ◽  
Vol 17 (16) ◽  
pp. 5957 ◽  
Author(s):  
Wei Yu ◽  
Tao Wang ◽  
Yujie Xiao ◽  
Jun Chen ◽  
Xingchen Yan
Keyword(s):  
Big Data ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Carbon Tax ◽  
Smart Cards ◽  
Complex Method ◽  
Emission Measurement ◽  
Carbon Reduction ◽  
The Government

With the strengthening of environmental awareness, the government pays much more attention to environmental protection and thus implements carbon trading schemes to promote the reduction of global carbon dioxide emissions. The carbon Generalized System of Preferences (GSP) is an incentive mechanism for citizens to value their energy conservation and carbon reduction. Individual travel needs to rely on various means of transportation, resulting in energy consumption. Carbon tax or subsidy can only be carried out after carbon GSP accurately measures individual carbon emissions. The big data acquired from the smart cards of passengers’ travels provide the possibility for carbon emission accounting of individual travel. This research proposes a carbon emission measurement of individual travel. Through establishing the network model of the Nanjing metro with a complex method, the shortest path of the passengers’ travels is obtained. Combined with the origination–destination (OD) records of the smart cards, the total distance of the passengers’ travels is obtained. By selecting the operation table to estimate the carbon emissions generated by the daily operation of the subway system, the carbon emissions per kilometer or per time of passenger travel are finally obtained. With the accurate tracking of carbon emissions for individual travel, the government may establish a comprehensive monitoring system so as to establish a carbon tax and carbon supplement mechanism for citizens.

The Development of Beijing’s Low-Carbon Transport: Status, Problems and Countermeasures

2014 ◽  
Vol 962-965 ◽  
pp. 1314-1320
Author(s):  
Yun Yan Li ◽  
Ying Nan Xian
Keyword(s):  
Carbon Emissions ◽  
Public Transport ◽  
Traffic Congestion ◽  
Transport Model ◽  
Motor Vehicles ◽  
Low Carbon ◽  
Rapid Process ◽  
Process Of Urbanization ◽  
Energy Consumptions ◽  
Carbon Transport

In the rapid process of urbanization, the transport facilities in Beijing have developed swiftly with the increase of motor vehicles. The problem of traffic congestion, energy consumptions and carbon emissions are becoming increasingly prominent. Based on the statistics of people trip survey in Beijing from 2005 to 2010, it predicted the development of transport under various scenarios and calculated the carbon emissions of different transport modes by using low-carbon transport model. Vigorously develop public transport and zero pollution of bicycle transport is the inevitable trend to realize low carbon transport.

scholarly journals Embodied CO2 Emission Changes in Manufacturing Trade: Structural Decomposition Analysis of China, Japan, and Korea

Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 597
Author(s):  
Young Yoon ◽  
Yoon-Kyung Kim ◽  
Jinsoo Kim
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Decomposition Analysis ◽  
Future Research ◽  
Structural Decomposition Analysis ◽  
Structural Decomposition ◽  
Embodied Carbon ◽  
Intensive Production ◽  
Embodied Carbon Emissions ◽  
Emission Changes

This study investigated the driving factors of embodied carbon emission changes in manufacturing trades through structural decomposition analysis. For empirical analysis, we developed an environmental multiregional input–output model for Korea, Japan, and China for 1995–2009. The three countries, which are economically and environmentally significant in Asia, are not only tightly linked economically through global value chains, but also close geographically, sharing various environmental issues. The results show that China is a net exporter of embodied carbon emissions to Japan and Korea, despite a substantial trade deficit. Its exports are more carbon-intensive than its imports from Japan and Korea. China’s embodied emissions were mainly affected by a change in carbon-intensive production and trade structure, and Japan’s and Korea’s were affected by China’s final demand. At the sectoral level, “Electrical and Optical Equipment”, “Basic Metals and Fabricated Metal”, and “Textiles and Textile Products” mainly affected the embodied carbon emission changes in these three countries. As a result, a considerable share of carbon-intensive production has shifted to China and increased consumption of China’s final products and services in the manufacturing industries, resulting in a significant increase in embodied carbon emissions. Additionally, our findings at the sectoral level could provide important evidence regarding the effective environmental policies that enable sustainable industries. With the increasing interest in the embodied carbon emissions, future research would pay more attention to the bilateral trades of major carbon-emitting countries and multilateral trades.

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