Systematic Inherent Safety Assessment of Electrolytic Hydrogen Production via Nr-topsis Approach

This study systematically collected 55 indicators related to hydrogen production via electrolysis and categorized them into 6 groups. An inherent safety assessment method based on the NR-TOPSIS approach was designed for indicator aggregation. In the first stage of indicator aggregation, inherent indicators were scored based on predefined evaluation criteria, standardized to unify dimensions, and positive and negative ideal solutions were determined. The distances between each indicator and the ideal solutions, as well as their relative proximity, were calculated to determine the importance of the indicators. In the second stage, a hierarchical structure was established, indicators were classified into different levels, and pairwise comparison matrices were constructed to assess the importance of the indicators. Judgment matrices were generated, and weight vectors were calculated, followed by consistency checks to ensure the rationality of the weight allocation. Finally, the results of indicator aggregation from both the first and second stages were integrated to obtain the final evaluation score for the system or scheme. Based on this, weight adjustment and sensitivity analysis were conducted to enhance the scientific validity and accuracy of the scores. By manually or automatically adjusting the weights, the impact of weight changes on the scoring results was tested, and the comparison matrices were iteratively optimized. The final adjusted weights were output, completing the entire feedback and optimization process, thereby achieving an inherent safety assessment of the safety of hydrogen production via electrolysis