System Dynamic Analysis of Greenhouse Effect Based on Carbon Cycle and Prediction of Carbon Emissions

Li, J W

doi:10.15666/aeer/1702_50675080

Cited by 9 publications

(6 citation statements)

References 23 publications

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“…Constraint (11) means that the total number of virtual machines of the corresponding type to be shut down is equal to the number of virtual machines to be shut down;…”

Section: Many Goals Constrained Majorization Modelmentioning

confidence: 99%

“…The results suggest that the proposed Paris Agreement could achieve −3.2% CO2 reduction. From there, future global carbon reductions and their investments are calculated and described, and reports are provided to relevant authorities on carbon reduction plans [ 11 ]. The response grey analysis analyzes the relationship between Beijing's economic growth, energy consumption structure, industrial structure, population size, urbanization and pollution intensity, and carbon dioxide emissions from 2003 to 2012.…”

Section: Introductionmentioning

confidence: 99%

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Analysis and Prediction of Influence Factors of Green Computing on Carbon Cycle Process in Smart City

Huang

Chen

Xiong

et al. 2022

Computational Intelligence and Neuroscience

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Global warming has become the focus of attention of the international community, and the control of carbon dioxide emissions has become one of the necessary choices for the development strategies of countries around the world. Cities are places where carbon dioxide emissions are concentrated. The key to controlling carbon emissions is to control the carbon emissions of cities. My country is currently in the process of rapid urbanization. Quantitative studies of the carbon cycle at the city level will help to take stock of carbon dioxide emissions in cities. On the other hand, it is helpful to understand the status and role of the urban carbon cycle in the process of the regional carbon cycle. Through the analysis and prediction of the elements influencing the carbon cycle of smart cities, this paper first determines the factors affecting smart cities in the carbon cycle process as industrial carbon emission strength factors, industrial structure effects, economic development factors, and population elements. It is found that the major positive factors affecting the significant add of CO2 emissions in smart cities from 2010 to 2019 are economic development factors and demographic factors, including economic development factors GDP/per capita GDP. The per capita contribution to CO2 emissions is higher than the model established by adjusting the affecting elements of overall CO2 emissions, except that the proportion of economic development factors in total CO2 emissions from 2013 to 2015 was lower than the increase in total CO2 emissions. The comparison can better reflect the relation between CO2 emissions and influencing elements. The main determinants affecting CO2 emissions are the expansion of the financial condition, the increase in the average daily population, and the increase in construction work. The adaptation index is judged to be consistent, indicating that the model adjustment effect is good; finally, the green computing in the smart city predicts the carbon cycle process, and the actual value trend line and the predicted value trend line are not much different from the practical value, the forecast error is small, and the prediction results are credible. Global warming has become the focus of attention of the international community, and carbon emission control has become one of the necessary options in the development strategies of countries around the world. Cities are the places where carbon emissions are concentrated. The key to controlling carbon emissions is to control urban carbon emissions. At present, my country is in the process of rapid urbanization. Quantitative research on the carbon cycle at the city level will help to establish an inventory accounting of urban carbon emissions. On the other hand, it is convenient to deeply understand the status and role of the urban carbon cycle in the process of the regional carbon cycle.

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“…Constraint (11) means that the total number of virtual machines of the corresponding type to be shut down is equal to the number of virtual machines to be shut down;…”

Section: Many Goals Constrained Majorization Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis and Prediction of Influence Factors of Green Computing on Carbon Cycle Process in Smart City

Huang

Chen

Xiong

et al. 2022

Computational Intelligence and Neuroscience

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“…Outputs of the simulation were the prediction of the creation and absorption of carbon dioxide up to the year 2070. Li [91] focused on the greenhouse effect. SFD and CLD captured the CO 2 cycle.…”

Section: Emissions and Pollutionmentioning

confidence: 99%

Environment, Business, and Health Care Prevail: A Comprehensive, Systematic Review of System Dynamics Application Domains

Zanker

Bureš

Tučník

2021

Systems

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System dynamics, as a methodology for analyzing and understanding various types of systems, has been applied in research for several decades. We undertook a review to identify the latest application domains and map the realm of system dynamics. The systematic review was conducted according to the PRISMA methodology. We analyzed and categorized 212 articles and found that the vast majority of studies belong to the fields of business administration, health, and environmental research. Altogether, 20 groups of modeling and simulation topics can be recognized. System dynamics is occasionally supported by other modeling methodologies such as the agent-based modeling approach. There are issues related to published studies mostly associated with testing of validity and reasonability of models, leading to the development of predictions that are not grounded in verified models. This study contributes to the development of system dynamics as a methodology that can offer new ideas, highlight limitations, or provide analogies for further research in various research disciplines.

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“…Despite signed climate agreements, de nitions of emission reduction targets and a satisfactory understanding of the likely impacts caused by global warming, a challenge still remains: choosing reasonable actions to mitigate adverse effects and the obstacle to this is making them viable from a social, environmental and economic point of view (LI et al, 2019). The cross-border nature of this problem, combined with differences such as the level of industrialization between the signatory countries, adds even more complexity to the solution of the problem.…”

Section: Introductionmentioning

confidence: 99%

System Dynamics Modeling to Compensate Co 2 Emissions in Road and Road-rail Transport Models in the Atlantic Forest Biome

Oliveira

Silva

Reis

et al. 2022

Preprint

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The objective of this study was to determine between the purchase of carbon credits and the activity of forest restoration in the Atlantic Forest which investment in CO2 emissions compensation is more attractive from an economic point of view and also to determine between the road and intermodal modes (road + rail) the most attractive option from an environmental point of view. To this end, a System Dynamics model was developed capable of converting CO2 emissions in restored forest areas in the Atlantic Forest biome and/or carbon credits from REDD + projects and estimating the costs associated with these offsets. The model was fed with data related to cargo transport in two modes: road and rail. For each modal, four different scenarios were developed for the offsetting of emissions: only forest plantation; only purchase of carbon credits; 50% forestry planting and 50% purchase of carbon credits; and 30% forestry planting and 30% purchase of carbon credits. The results indicate that the most attractive option from an economic point of view is the compensation of emissions through forestry planting and that the most attractive option from an environmental point of view is the use of the road-rail modal.

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System Dynamic Analysis of Greenhouse Effect Based on Carbon Cycle and Prediction of Carbon Emissions

Cited by 9 publications

References 23 publications

Analysis and Prediction of Influence Factors of Green Computing on Carbon Cycle Process in Smart City

Analysis and Prediction of Influence Factors of Green Computing on Carbon Cycle Process in Smart City

Environment, Business, and Health Care Prevail: A Comprehensive, Systematic Review of System Dynamics Application Domains

System Dynamics Modeling to Compensate Co 2 Emissions in Road and Road-rail Transport Models in the Atlantic Forest Biome

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