DocumentCode
1945778
Title
Fuzzy Real Options Method for Generation Investment Evaluation under Uncertainties
Author
De-yi, Gan ; Jun, Dong ; Lin, Xiao ; Ming, Zeng
Author_Institution
Sch. of Bus. Adm., North China Electr. Power Univ., Beijing
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
164
Lastpage
167
Abstract
Power generation projects are usually capital-intensive and require long lead time, while power consumption demands high reliability of supply service. Therefore this kind of investment faces much complex situation and uncertainties especially in the liberalized electricity market. The uncertain factors bring risks and affect the benefit of the investment. The traditional DCF method supposes that the present value of the project is assured and the investment process is static. It ignores the impacts of the uncertain factors on the evaluation as well as the values of flexible management. This paper analyzes the uncertain factors in generation investment and the real options features. The present value of the generation investment is presented in the form of trapezoidal fuzzy number. The real options theory is introduced and a new evaluation and decision support method is formulated for generation investment evaluation. The numerical example illustrates the correctness and effectiveness of the proposed model.
Keywords
decision making; decision theory; fuzzy set theory; investment; number theory; power generation economics; power markets; risk analysis; decision making; decision support method; fuzzy real options method; liberalized electricity market; power consumption; power generation investment evaluation; risk analysis; trapezoidal fuzzy number; uncertain factor; Computer science; Economic forecasting; Electricity supply industry; Energy consumption; Gallium nitride; Investments; Power generation; Power system dynamics; Software engineering; Uncertainty; Power generation projects; investment evaluation; real option; uncertainties;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.1504
Filename
4721717
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