Water Energy Generation and Operational Optimization in Water Conveyance Systems: A Case Study

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Abstract:

In the current century environment and energy are the two most vital issues in human’s life. In this work, an optimization in consumed energy of a Water Conveyance System (WCS) is considered. There is a case study of a WCS in Iran named Tikan-Tappe Water Conveyance System. The mentioned WCS has been reformed by some changes in order to achieve the best operational situation. The goal of this research was stated on finding a way to reduce the electricity consumption and electricity cost of the system. The layout of system has been altered and simultaneously the electricity generation has been considered. As a result the water energy in the system has been created. In fact an energy conversion occurred and the kinematic energy of water converted to electricity by employing a turbine. In addition to these changes, the operational time of the system has been revised based on the electricity tariffs of the region. Total electricity cost of the Tikan-Tappe WCS has been reduced by around 23%. Furthermore, because of using a clean energy source, the presented solution is an effective environmentally-friendly solution.

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Periodical:

Advanced Materials Research (Volumes 622-623)

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1130-1134

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] NAST (National Assessment Synthesis Team), Climate Change Impacts on the United States: The Potential Consequences of Climate Variability and Change, Overview Report, U.S. Global Change Research Program, Cambridge University Press (2000), p.154.

DOI: 10.1002/wea.6080570213

Google Scholar

[2] F. Vieira and H.M. Ramos: Renewable Energy Vol. 34 (2009), p.928.

Google Scholar

[3] G. Allen and F.J. McKeogh and B. Gallacho'ir, Proceedings of the Second International Conference of Renewable Energy in Maritime Island Climates, (2006).

Google Scholar

[4] J.P.S. Catalão and H.M.I. Pousinho and V.M.F. Mendes, Energy Policy Vol. 36 (2011), p.500.

Google Scholar

[5] M.J. Fadaee and M. Besharat, Proceedings of Eight International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, Civil-Comp Press, Italy (2005).

DOI: 10.4203/ccp.82.38

Google Scholar