2018 ◽  
Vol 2018 ◽  
pp. 1-21 ◽  
Author(s):  
Yunna Wu ◽  
Shaoyu Ji ◽  
Jing Wang ◽  
Zixin Song

Due to the aggravating wind curtailment phenomenon, low-speed wind power project (LSWPP) with the superiority of its generation being absorbed locally is rapidly developing in China. As the risk and opportunity coexist, a comprehensive risk assessment should be implemented to evaluate the risk level of a LSWPP. This paper firstly identified 38 risk factors based on a questionnaire survey and then sorted out 17 critical risk factors and divided them into 4 criteria to form the evaluation index system. In order to overcome the deficiencies of not considering randomness of linguistic variables and neglecting the interrelationship between factors, we proposed an aggregated method which combined ANP, the cloud theory, and the technique for order preference by similarity to ideal solution (TOPSIS) for LSWPPs risk assessment. After a case in China was studied and the sensitivity was tested, the effectiveness and application of this framework are demonstrated. Through the calculation of membership of each project, it indicated that the overall risk level of LSWPPs is relatively high. Finally, some recommendations of each critical risk factor were given for government, investors, and decision-makers to help them make more appropriate decisions and distribute the limited resources more rationally.


2014 ◽  
Vol 986-987 ◽  
pp. 259-262 ◽  
Author(s):  
Fu Cai Jiang ◽  
Yan Bin Guo ◽  
Quan Dang Ma

This paper introduce the necessity of the construction of offshore wind power projects, analysis of the impact on the marine transport of offshore wind power project after completion, and then use the fuzzy comprehensive evaluation method to carry out a comprehensive assessment of offshore wind power projects, by identifying risk assessment index system, establish model for risk assessment, the final task is use the model to evaluate the navigation safety of an offshore wind power project.


2011 ◽  
Vol 71-78 ◽  
pp. 2341-2346 ◽  
Author(s):  
Dong Xiao Niu ◽  
Fang Fang ◽  
Ying Ying Li

This study is to construct a post-evaluation system for the social environment of the wind power project and make a comprehensive assessment by the introducing the cloud model-based analytic hierarchy process. The process manifests the weight and index evaluation in the form of cloud model, which takes account of both ambiguity and randomness, improves the comprehensiveness and accuracy of the results and provides application and arguments for the method through practical examples.


2018 ◽  
Vol 1102 ◽  
pp. 012004 ◽  
Author(s):  
Zia ul Rehman Tahir ◽  
Muhammad Asim ◽  
Saqib Jamil ◽  
Rizwan Shad ◽  
Nasir Hayat ◽  
...  
Keyword(s):  

Author(s):  
Yiqing Li ◽  
Weiguo Yang ◽  
Lixin Tian

This study puts forward a real options model and uses it to evaluate the investment value of offshore wind power project under market co-movement effect. The main purpose is to check investment benefit of offshore wind power project, as an investor. Several uncertainties are taken into account, including investment costs, feed-in tariffs, carbon prices and policy subsidy. Moreover, an additional uncertain factor, i.e. the market linkage of investment costs, is considered. As a case study, Jiangsu Xiangshui offshore wind park is used to illustrate the model in scenario analysis. Using a least-squares Monte Carlo simulation method, we obtain that the project value is negative. Therefore investors should abandon or postpone investment until better conditions prevail. Furthermore, this paper shows sensitivity analysis of the impact of uncertain factors on the project value. Especially sensitivity analysis of variable costs, it shows a certain impact on project value in here, which has been ignored in previous real options studies. The research results would be helpful for renewable energy project assessment and the decision-making process associated with it.


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