Risk assessment on floating water photovoltaic power generation projects in China using the HFLTS-cloud model method

The risk assessment of floating water photovoltaic (PV) power generation is an important component of its project feasibility study. In order to assess the risk of low-carbon development of floating water PV plant projects, this paper firstly identifies 18 key criteria in economic, technical, environmental and management aspects; secondly, considering the uncertainty of the evaluation language and the fuzziness of the decision-making environment, this paper uses hesitant fuzzy linguistic term sets (HFLTS) to collect information, and uses analytic network process (ANP) to determine the weight of indicators, combined with fuzzy synthetic evaluation (FSE) method to build a risk assessment framework; thirdly, this paper conducts an empirical study on China, and verifies the effectiveness and applicability of the assessment model through comparative analysis. The results indicate that the risk level of floating water PV power projects in China is slightly high. Finally, corresponding risk response measures were proposed.