Linguistic Hesitant Fuzzy Sets and Cloud Model Based Risk Assessment of Gaseous Hydrogen Storage in China

摘要

Gaseous hydrogen storage has been paid high attention as a promising storage method with low carbon cleaning properties. This paper analyzes the risk of gaseous hydrogen storage in China from a serious of points of view. At first, linguistic hesitant fuzzy sets (LHFSs) is utilized to describe the risk of application of gaseous hydrogen storage in China under the perspective of sustainable development. Then, in order to ensure the integrity of information and fully describe the fuzziness and randomness in the evaluation process, cloud model is utilized to convert LHFS into a more comprehensive way. At last, the final risk degree of current gaseous hydrogen storage in China is determined by CCPA operator. The calculation result shows that the risk of applying gaseous hydrogen storage is between medium high and high. At the same time, some suggestions are proposed for better extension of gaseous hydrogen in China.