Author(s)

Yanhong Wu ¹

Affiliation(s)

¹ College of Accounting, Zhanjiang Science and Technology College, Zhanjiang, Guangdong, China

Corresponding Author

Yanhong Wu

ABSTRACT

As society develops, the quality of life improves, but at the same time the rate of consumption of all types of energy increases. As the highest energy consumer, the transport sector brings great convenience to people's lives, but it also consumes a great deal of energy and emits large amounts of carbon dioxide and pollutants. As a result, the global greenhouse effect is increasing and human activities are being restricted, reducing greenhouse gas emissions has become a hot topic worldwide. The main objective of this paper is to investigate the prediction of carbon emissions (CE) and carbon peaking in Zhanjiang City based on the LEAP model. The paper first analyses the CE forecasting methods, detailing the reasons for choosing the LEAP model and its advantages; then introduces the characteristics of the LEAP model, analyses the calculation methods of EC and emissions, then analyses the CE factors of energy, builds the relevant forecasting model and sets the parameters. In the comparative analysis of energy consumption (EC), it is found that the LEAP model is more detailed than the EC elasticity factor method, and the modular calculation makes the LEAP model calculation results more accurate than the EC elasticity factor method.

KEYWORDS

LEAP Modelling, Carbon Emissions, Carbon Peaking, Predictive Modelling

CITE THIS PAPER

Yanhong Wu, LEAP Model-Based Carbon Emission Peak Projections for Zhanjiang City . Environment, Resource and Ecology Journal (2022) Vol. 6: 1-9. DOI: http://dx.doi.org/10.23977/erej.2022.060601.

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