Research on the Evaluation of External Economy of Wind Power Project Based on ANP-Fuzzy

Author(s):  
Yu Shunkun ◽  
Zhou Lisha ◽  
Li Chen
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.


2016 ◽  
Vol 835 ◽  
pp. 753-759 ◽  
Author(s):  
J.N. Sheen

In this paper, fuzzy financial evaluation models are derived to analysis investment financial profitability and possibility for wind power generation project in Penghu, Taiwan. The financial subsidy and feed-in tariff (FIT) are two effective market mechanisms to promote wind power development in Taiwan. The performances of the proposed fuzzy profit models are verified by considering their application to a simulation case. The study shows the fuzzy financial indexes of the simulated 2,400 kW wind power project may little uneconomic possibility, with negative net present value, with benefit cost ratio smaller than 1, and with payback years longer than its life span, in both two scenarios. The FIT rates should be revised to match wind power current market to give more attractiveness for potential investors. The studied results are also consistent with those provided by the conventional crisp models, and provide readily implemented possibility analysis tools for use in the arena of uncertain finance.


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