Electric carbon emission whole-process monitoring method and device based on electric power big data

Abstract

The invention relates to an electric carbon emission whole-process monitoring method and device based on electric power big data. The method comprises the steps that power data of a power grid are acquired, and the power data comprise unit power generation standard fuel consumption, power generation, external power transmission amount, power transmission side carbon emission factors, production activity power consumption, carbon emission data and industry flow output value data of the power grid in different local areas, and the unit power generation standard fuel consumption and the power generation are calculated according to the unit power generation standard fuel consumption and the power generation; obtaining power generation side power carbon emission according to the external power transmission quantity, the power transmission side carbon emission factor and the power generation side power carbon emission, obtaining power utilization side power carbon emission according to the power generation side power carbon emission, the production activity power consumption, the carbon emission data and the industry flow output value data, and finally obtaining the power utilization side power carbon emission. And carrying out electric power carbon emission risk early warning based on the electric power carbon emission of the power generation side, the power transmission side and the power utilization side. By adopting the method, accurate electric power carbon emission risk early warning can be realized.

Description

technical field [0001] The present application relates to the technical field of carbon emission risk prediction, and in particular, to a method, device, computer equipment and storage medium for monitoring the whole process of electric carbon emission based on electric power big data. Background technique [0002] The goal of carbon peaking and carbon neutrality has become the key goal of high-quality development in the new era of my country. It will have profound implications for the economic growth model, industrial structure, and energy structure adjustment in the next few decades, as well as consumption patterns, lifestyles, and ecological construction. Impact. With the increasing popularity of carbon emissions and carbon neutrality, more and more carbon emission monitoring methods have emerged in the industry. Then, based on the calculated carbon emissions, risk early warning is carried out. [0003] However, the most commonly used method of electricity carbon emissio...

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Problems solved by technology

[0003] However, the most commonly used method for electricity carbon emission accounting is the IPCC (Intergovernmental Panel on Climate Change) inventory compilation method (hereinafter referred to as the inventory method). Based on the IPCC accounting formula, many carbon accounting models have been derived, and many In order to conduct carbon emission accounting for a certain industry, such as carbon emission accounting for service industries or retail industries, this will directly lead to the inability to monitor electricity carbon emissions as a whole, and it is difficult to achieve accurate early warning of electricity carbon emission risks from a macro perspective

In addition, using the inventory method to calculate the carbon emissions on the power generation side is to use the product of the consumption of various fuels and the carbon emission factors of various fuels to calculate carbon emissions. Various fuel consumption data cannot accurately calculate the actual carbon emissions, resulting in the inability to achieve accurate early warning of electricity carbon emissions risks

[0004] It can be seen that the current electricity carbon emission accounting method based on the inventory method has the problem of being unable to accurately carry out early warning of electricity carbon emission risks.

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