Uncertainty analysis method for environmental impact accounting of electrocatalytic membranes based on Monte Carlo simulation
The resource and energy consumption of the electrocatalytic membrane during its life cycle was analyzed using the Monte Carlo simulation method, which solved the uncertainty problem in the environmental impact analysis of the electrocatalytic membrane, achieved quantitative evaluation and simplified operation, and improved the reliability and efficiency of the analysis.
CN119273007BActive Publication Date: 2025-09-16HARBIN INST OF TECH +1
Patent Information
- Application Number
- CN202411694324.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-25
- Publication Date
- 2025-09-16
- Estimated Expiration
- 2044-11-25
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Figure CN119273007B_ABST
Abstract
The uncertainty analysis method of the environmental impact accounting of electrocatalytic membranes based on Monte Carlo simulation relates to the field of environmental evaluation of electrocatalytic membranes. The present invention aims to solve the problems of complex operation, time-consuming and labor-intensive in traditional methods. The present invention is based on the Monte Carlo random sampling method, adopts the total environmental impact load evaluation model of the electrocatalytic membrane, obtains the influence of resources and energy on environmental impact indicators during the life cycle of the electrocatalytic membrane, screens out key factors through sensitivity analysis, and then performs uncertainty analysis through Monte Carlo simulation to obtain the uncertainty range of the environmental impact of the electrocatalytic membrane. The present invention can quantitatively and objectively analyze the environmental impact of each indicator during the life cycle of the electrocatalytic membrane, judge the main environmental impact and uncertainty range of the electrocatalytic membrane, has accurate evaluation, convenient operation, small subjective influence, and broad application prospects. It has certain mathematical and physical meanings, high reliability, can be extended to other models, and has certain practical value.
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Citation Information
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