Abstract
Power supply failures have caused major social losses in the information society in the present age. Such a loss is estimated up to approximately two trillion yen when a large power failure happens in a big city such as Metropolitan Tokyo. Therefore, it is necessary to provide some remedies such as a diagnosis of the power system equipments not only for preventing the system accident of the equipment beforehand from its failures but also for guarding the social cost from increasing. The objective of the paper is to provide the preliminary research on life cycle management. In this paper, net present value (NPV) analysis and real options approach (ROA) are employed in life cycle management in investment and maintenance of power supply systems in order to keep the continuous normal operation under uncertainty.
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References
Nash, H.O., Wells, M.F.: Power system disturbances and considerations for power conditioning. In: Conf. Rec. Industrial and Commercial Power System Technical Conf., pp. 1–10 (1984)
Giri, B.C., Dohi, T.: Optimal lot sizing for an unreliable production system based on net present value approach. International Journal of Production Economics 92, 157–167 (2004)
Kylaheiko, K., Sandstrom, J., Virkkunen, V.: Dynamic capitality view in terms of real options. International Journal of Production Economics 80, 65–83 (2002)
Smith, J.E.: Much ado about options? Decision Analysis Newsletter 18(2), 4–8 (1999)
Copeland, T., Trufano, P.: A real-world way to manage real options. Harvard Business Review, 90–99 (2004)
Graham, J., Harvey, C.R.: The theory and practice of corporate finance: evidence from the field. Journal of Financial Economics 60, 187–243 (2001)
Alessandri, T., Ford, D.N., Lander, D.M., Leggio, K.B., Taylor, M.: Managing risk and uncertainty in complex capital projects. Quarterly Review of Economics and Finance 44, 751–767 (2004)
Sounderpandian, J., Prasad, S., Madan, M.: Supplies from developing countries: optimal order quantities under loss risks. Omega 36, 122–130 (2008)
Driouchi, T., Leseure, M., Bennett, D.: A robustness framework for monitoring real options under uncertainty. Omega 37, 698–710 (2009)
Mahnovski, S.: Robust decisions and deep uncertainty, Pardee RAND Graduate School, California (2006)
Abdel Sabour, S.A.: Decision making with option pricing and dynamic programming: development and application. Resources Policy 25(4), 257–264 (1999)
Abdel Sabour, S.A.: Dynamics of threshold prices for optimal switches: the case of mining. Resources Policy 27(3), 209–214 (2001)
Baudry, M.: Stock externalities and the diffusion of less pollution capital: an option approach. Structural Change and Economic Dynamics 10(3-4), 395–420 (1999)
Keppo, J., Lu, H.: Real options and a large producer: the case of electricity markets. Energy Economics 25, 459–472 (2003)
Samis, M., Davis, G.A., Laughton, D., Poulin, R.: Valuing uncertain asset cash flows when there are no options: a real options approach. Resources Policy 30, 285–298 (2006)
Kjærland, F.: A real option analysis of investments in hydropower–the case of Norway. Energy Policy 35, 5901–5908 (2007)
Dixit, A., Pindyck, R.: Investment under Uncertainty. Princeton University Press, New York (1994)
Noro, R., Dobashi, Y., Wang, Z., Takahashi, T., Okamoto, T., Tanaka, T., Watada, J.: Real Options Approach to Life Cycle Management of Power Equipments. In: Proceedings, CMD (2006)
Sandsmark, M.: A regional energy paradox–the case of Central Norway. Energy Policy 37(11), 4549–4556 (2009)
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Yaakob, S.B., Watada, J. (2010). Power System Equipments Investment Decision-Making under Uncertainty: A Real Options Approach. In: Phillips-Wren, G., Jain, L.C., Nakamatsu, K., Howlett, R.J. (eds) Advances in Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14616-9_68
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DOI: https://doi.org/10.1007/978-3-642-14616-9_68
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