Port carbon emission prediction method and system under multiple scenes, computing device and storage medium

Abstract

The invention discloses a port carbon emission prediction method and system under multiple scenes, a computing device and a storage medium. The method comprises the following steps: acquiring port basic data representing years; calculating the total energy consumption of the port in the representative year and predicting the throughput of the port in the target year based on the basic data of the port; setting different prediction scenes of the carbon emission of the port in the target year, and predicting the total energy consumption reduction rate of the port, the consumption ratio of various energy sources of the port and the carbon capture and storage amount of the port in each scene in the target year; and on the basis of the data, predicting the port carbon emission in the target year under each scene. According to the method, under the condition that data such as the current state of port throughput, the current state of energy consumption and port development planning are known, the port carbon emission under different scenes in the future year can be predicted, and the method can be used for scientifically mastering the future carbon emission of the port, understanding the future carbon emission trend of the port and promoting green and low-carbon transformation of the port. Scientific support is provided for scientifically and reasonably formulating carbon peak reaching and carbon neutralization planning.

Description

technical field [0001] The invention relates to the technical field of carbon emission prediction, in particular to a port carbon emission prediction method, system, computing device and storage medium under multiple scenarios. Background technique [0002] Under the background of the "dual carbon" goal, the rapidly developing transportation sector is facing more severe pressure to reduce emissions. It is of great significance to promote the peaking and deep emission reduction of carbon emissions in the transportation sector to achieve carbon peaking and carbon neutrality for the whole society. Water transportation is mainly composed of ports and shipping, and undertakes the transportation of more than 90% of my country's foreign trade goods. With the continuous optimization and adjustment of the transportation structure, waterway transportation will take on more transportation demands. [0003] Ports are an important part of my country's comprehensive transportation system...

AI Technical Summary

Problems solved by technology

[0010] The existing technology for the calculation of port carbon emissions is mostly limited to the years that have occurred, and is not applicable to the prediction of port carbon emissions in future years; in the case of unknown energy consumption data in future years, or port throughput, and port unit consumption per 10,000 tons , and cannot predict port carbon emissions under different scenarios in a certain year in the future

In the case of known data such as port throughput status, energy consumption status, and port development planning, existing technologies cannot predict multi-scenario port carbon emissions in future years, cannot provide sufficient data support for green and low-carbon transformation of ports, and cannot support Provide scientific basis for ports to formulate carbon peak and carbon neutral plans

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