CN-122022371-A - Intelligent medium-voltage cabinet carbon footprint calculation method

Abstract

The invention relates to the technical field of environmental impact assessment of power equipment, and discloses an intelligent medium-voltage cabinet carbon footprint calculation method which sequentially comprises the steps of S1, collecting equipment basic data and real-time operation data of a medium-voltage cabinet, obtaining all original data required by calculation, S2, carrying out life cycle stage division and data mapping, S3, constructing a calculation model of carbon footprint calculation application of each stage, carrying out item division calculation, including material carbon footprint calculation, transportation carbon footprint calculation and use stage carbon footprint calculation, S4, collecting carbon footprints, S5, carrying out sensitivity analysis, carrying out univariate sensitivity analysis through data software, and S6, generating a report result, and obtaining a structured report. The invention improves the calculation boundary definition mismatch, dynamic energy consumption data deletion and model parameter update lag on the existing carbon footprint calculation method.

Inventors

• XIONG HEJIN
• LIU MINGHUI
• LUO DONGSHENG

Assignees

• 武汉诚源成达物联网科技有限公司

Dates

Publication Date

20260512

Application Date

20260225

Claims (2)

1. 1. The intelligent medium-voltage cabinet carbon footprint calculation method is characterized by sequentially comprising the following steps of: The method comprises the steps of S1, collecting equipment basic data and real-time operation data of a medium-voltage cabinet, and obtaining all original data required by calculation, wherein the equipment basic data are bill of materials of the medium-voltage cabinet body, the real-time operation data are transmission data of deployed sensors, and the sensors comprise a current transformer, a voltage sensor, an electric energy metering chip and a temperature sensor; S2, carrying out life cycle stage division and data mapping, and mapping the collected data to five stages of a full life cycle, wherein the five stages of the full life cycle are as follows: Raw materials and manufacturing stage, data are derived from the bill of materials of step S1, combined with carbon emission factors of materials in a database; in the transportation stage, obtaining the distance from the supplier to the assembly plant and the distance from the assembly plant to the user and the transportation tool parameters from the physical flow records; a use stage, wherein data is derived from accumulated electricity consumption monitored in real time by the sensor in the step S1; a scrapping treatment stage, setting recovery rates of various recovery materials based on design targets; s3, constructing a calculation model of each stage of carbon footprint calculation application, and performing item calculation, including material carbon footprint calculation, transportation carbon footprint calculation and using stage carbon footprint calculation; s4, summarizing carbon footprint, namely summarizing results of each stage through the following steps: Total carbon footprint = materials phase + transportation phase + use phase-recovery deduction (1) S5, performing sensitivity analysis, namely analyzing the power grid emission factor and the service life of equipment; And S6, generating a report result, and obtaining a structured report, wherein the structured report comprises a carbon footprint ratio cake graph and an annual emission trend graph of each stage.
2. 2. The method for calculating the carbon footprint of the intelligent medium-voltage cabinet according to claim 1, wherein in the step S3, the material carbon footprint calculation formula is as follows: Sigma (material weight i x material carbon emission factor i); (2) The transportation carbon footprint calculation formula: sigma (transportation distance j×weight j×transportation emission factor j) (3) The carbon footprint calculation at the using stage is based on real-time data dynamic calculation of a sensor, and the calculation formula is as follows: annual carbon footprint = Σ (real-time electricity consumption data point k x grid emission factor); (4).

Description

Intelligent medium-voltage cabinet carbon footprint calculation method Technical Field The invention relates to the technical field of environmental impact assessment of power equipment, in particular to an intelligent medium-voltage cabinet carbon footprint calculation method. Background The global climate change problem is becoming more severe and the need to reduce the carbon footprint of electrical equipment is urgent. The intelligent medium-voltage cabinet is used as key equipment of the power system, and accurate calculation of the carbon footprint of the intelligent medium-voltage cabinet is a basis for achieving the emission reduction target. However, when the existing general carbon footprint calculation method (such as a model applied to an internal combustion engine) is directly used for an intelligent medium-voltage cabinet, the following core technical defects exist due to the technical principle and object difference, so that the calculation result is inaccurate and impractical: 1. the computational boundary definition does not match and cannot fully cover the system complexity-the carbon footprint of the internal combustion engine is primarily focused on the fuel combustion during the use phase. The intelligent medium-voltage cabinet is a complex system, and carbon emission of the intelligent medium-voltage cabinet is remarkably distributed in a plurality of stages of raw materials (such as metal and insulating materials), manufacturing (such as cabinet body processing and component production), transportation (with large volume and weight), long-term operation (electric energy loss), scrapping recovery and the like. The direct application focuses on a simple model in a use stage, and a full life cycle calculation boundary matched with an intelligent medium-voltage cabinet cannot be established in technical means, so that source deviation is caused, and accurate data support cannot be provided for ecological design and supply chain carbon management of products. 2. The dynamic energy consumption data is missing, and the calculation model is disconnected from the actual operation, i.e. the operation condition (such as power output) of the internal combustion engine has a direct and linear fuel consumption relation with carbon emission. The operation carbon footprint (using stage) of the intelligent medium voltage cabinet is highly dependent on the actual load rate, the operation efficiency and the energy consumption of the internal intelligent control units (such as a temperature control system and a reactive compensation device), which is a dynamic and nonlinear process. The existing method lacks a technical scheme of integrating sensors to monitor the running state (such as current, voltage and power factor) of equipment in real time and taking the running state as the input of a calculation model, only static average estimated values can be adopted, so that the calculation result cannot reflect the actual energy consumption level, and the accuracy of the estimation and the guiding significance on energy efficiency optimization are lost in technical effect. 3. The model parameter update is lagged, and the equipment technology iteration cannot be responded, namely the technology iteration of the internal combustion engine is relatively slow. The intelligent medium-voltage cabinet technology is developed rapidly, and life cycle carbon footprint can be remarkably reduced if novel low-loss magnetic materials, high-energy-efficiency components, intelligent algorithm optimization operation strategies and the like are adopted. The existing static calculation model lacks a technical mechanism for dynamically incorporating new material emission factors and energy efficiency improvement algorithms, so that the emission reduction benefits brought by technical progress cannot be quantified, and the guiding effect of a carbon footprint assessment tool on technical innovation is weakened. In summary, the core defect of the prior art (taking the calculation of the carbon footprint of the internal combustion engine as an example) is that the calculation boundary, the data base and the model mechanism are seriously inconsistent with the technical characteristics of the intelligent medium voltage cabinet. Disclosure of Invention In order to overcome or alleviate one or more of the above technical problems, the invention aims to provide a carbon footprint calculation method specifically for an intelligent medium-voltage cabinet. The invention provides the following technical scheme: An intelligent medium-voltage cabinet carbon footprint calculation method sequentially comprises the following steps: The method comprises the steps of S1, collecting equipment basic data and real-time operation data of a medium-voltage cabinet, and obtaining all original data required by calculation, wherein the equipment basic data are bill of materials of the medium-voltage cabinet body, the real-time operation data are transmis