Large Scale Desalination: A Comparative Cost Affective Economic Analyses of Nuclear, Gas and Solar Powered Plants

Abstract

The main objective, here, is to explore the economic viability of the solar powered desalination method through a cost and benefit comparative and contrast study. Using the initial construction expenditure, the annual maintenance cost and energy consumed or produced, a variance ratio test of the random walk hypothesis will be implemented to determine their relative financial efficiency. This paper will also utilize the first order autoregressive multivariate estimation model to analyze the methods and identify the most productive process with most financial promise for future investment. The total deviations of the estimated variables from the actual are accounted for by the variations of the variances of the estimates from the actual. The higher the percentage of the unexplained deviation, the higher the risk involved. The portfolio variance will be utilized to measure the investment risk in three desalination industries.

Share and Cite:

Ashry, M. (2015) Large Scale Desalination: A Comparative Cost Affective Economic Analyses of Nuclear, Gas and Solar Powered Plants. Theoretical Economics Letters, 5, 103-113. doi: 10.4236/tel.2015.51015.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Joseph, O.S. (2011) Comparative Assessment of Coal-Fired and Nuclear Power Plants. Rensselaer Polytechnic Institute, Hartford.
[2] Hogue, M.T. (2012) A Review of the Costs of Nuclear Power Generation. Bureau of Economic and Business Research, David Eccles School of Business, University of Utah, Salt Lake City.
[3] Al-FulaijHala, F. (2011) Dynamic Modeling of Multi Stage Flash (MSF) Desalination Plant. Thesis Submitted for the Degree of Doctor of Philosophy, Department of Chemical Engineering, University College London (UCL), London.
[4] Ashry, M.H. (2013) A Large Scale Desalination of Sea Water by Solar Energy Using an Unconventional Seawater Collectors Scheme. Proceedings of the 12th International Conference on Information & Knowledge Engineering, IKE13, Las Vegas, 22-25 July 2013.
[5] Kaplan, S. (2008) Power Plants: Characteristics and Costs. CRS Report for Congress.
[6] Khamis, I. (2013) Overview of Nuclear Desalination Technologies & Costs. Department of Nuclear Energy, Division of Nuclear Power, IAEA International Atomic Energy Agency.
[7] Díaz-Caneja, J. and Farinas, M. Cost Estimation Briefing for Large Seawater Reverse Osmosis Facilities in Spain. RIDESA, Ramón Rubial n 2, 48950 Erandio, Spai.
[8] http://www.economywatch.com/economic-statistics/country/Saudi-Arabia/
[9] Barth, J., Kraft, J. and Wiest, P. (1975) Portfolio Theoretic Approach to Industrial Diversification and Regional Employment. Journal of Regional Science, 15, 9-15. http://dx.doi.org/10.1111/j.1467-9787.1975.tb01127.x
[10] Ashry, M.H. (2008) Income and Employment in Single Sector Economies: Growth Through Diversification in Saudi Arabia. Department of Engineering Management and Systems Engineering, Sc.D. Thesis, The George Washington University, Washington DC.
[11] Squalli, J. (2005) Working Paper No. 05-01: Are the UAE Financial Markets Efficient? EPRU, Zayed University, Abu Dhabi and Dubai.
[12] Andersen, T.G., Bollersev, T. and Das, A. (2001) Variance-Ratio Statistics and High-Frequency Data: Testing for Changes in Intraday Volatility Patterns. The Journal of Finance, 56, 305-327.
[13] Markowitz, H.M. (1959) Portfolio Selection, Efficient Diversification of Investments. Yale University Press, Newhaven and London.

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.