Quality evaluation method of life cycle assessment data

Abstract

The invention discloses a quality evaluation method of life cycle assessment data. The method comprises following steps of dividing original list data of an assessment object into direct list data and indirect list data; calculating the uncertainty of the list data by taking the original data as a normal distribution function and by using the relative standard deviation of the original data according to the average value of the original data, and the upper change limit range and lower change limit range of the data; obtaining the uncertainty of summarized list data of a full life cycle by utilizing a data error transfer theory; and finally through combination of a pollutant environment influence type classification method, obtaining the uncertainty of classified environment influence loads. According to the method provided by the invention, through adoption of three levels of uncertainty indexes of the list data uncertainty, the summarized list uncertainty and the environment influence load uncertainty, reliability evaluation of the full life cycle assessment results is realized. According to the method provided by the invention, the subjectivity in the quality evaluation process of the life cycle assessment data is reduced, and the problems that stochastic simulation computation is high in complexity and great in computation amount are solved.

Description

technical field [0001] The invention belongs to the field of life cycle assessment utilization, in particular to a quality assessment method of life cycle assessment data. Background technique [0002] The life cycle assessment method is an important tool for evaluating environmental impact in the world at present. It conducts the most comprehensive analysis and assessment of the environmental impact caused by each stage of the life cycle of a product or service from raw material acquisition to product use and disposal. However, the life cycle assessment process involves a large number of data and a wide range of sources, which is likely to cause problems such as large errors in the assessment results and low data reliability, which will affect the application of the assessment results in decision-making. Therefore, the quality assessment of life cycle assessment data is of great significance to improve the reliability of assessment results and data quality. [0003] In rec...

AI Technical Summary

Problems solved by technology

[0004] Based on the quality assessment methods of life cycle assessment data reported in the literature, it can be seen that the uncertainty calculation of original data is usually transformed into quantitative indicators through the hierarchical qualitative indicators of data, which has many subjective factors; while the error of original data and algorithm uncertainty For transfer, a probability distribution function is given based on the uncertainty of the original data, and then random simulation is performed. Since the amount of original data for LCA evaluation is large and multiple data transfers may occur, the quality assessment of inventory data through random simulation is computationally intensive, and Random simulation is difficult to reflect the characteristics of different evaluation objects

Images