Risk assessment on floating water photovoltaic power generation projects in China using the HFLTS-cloud model method
by Xiaokun Sun
International Journal of Technology, Policy and Management (IJTPM), Vol. 24, No. 3, 2024

Abstract: 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.

Online publication date: Tue, 02-Jul-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Technology, Policy and Management (IJTPM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com