DocumentCode
2585763
Title
Power transmission investments analysis: A new financial evaluation framework for South Africa
Author
Maboke, Silky Ntombifuthi ; Kachienga, Michael Ogembo
Author_Institution
Technova Power Syst. (Pty) Ltd., Cape Town
fYear
2008
fDate
27-31 July 2008
Firstpage
2499
Lastpage
2508
Abstract
The paper discusses the study to develop a new financial evaluation framework for power transmission expansion projects in South Africa (SA) that can also be suitable for handling change and uncertainty in the electricity supply industry. The research design followed in the study is model building, testing and application empirical research. The development of the new financial evaluation framework is based on the literature study and the gaps identified in the current transmission expansion investment evaluation methods stipulated in the South African grid code. The proposed framework for financial evaluation of transmission expansion projects investments in South Africa incorporates the modelling of project options and uncertainties, Monte Carlo simulations, real option analysis and decision analysis. The supporting pillar of this framework is strategic analysis. A computer financial evaluation model based on the new framework was built to test the framework. A comparison of the test results to the model currently used to evaluate transmission line projects in South Africa is also presented.
Keywords
Monte Carlo methods; electricity supply industry; financial management; investment; power transmission; Monte Carlo simulations; South Africa; decision analysis; electricity supply industry; financial evaluation; power transmission investments; Africa; Cities and towns; Costs; Investments; Power generation; Power system dynamics; Power system reliability; Power transmission; Power transmission lines; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of Engineering & Technology, 2008. PICMET 2008. Portland International Conference on
Conference_Location
Cape Town
Print_ISBN
978-1-890843-17-5
Electronic_ISBN
978-1-890843-18-2
Type
conf
DOI
10.1109/PICMET.2008.4599877
Filename
4599877
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