Multi- Objective Optimal Design of on- Demand Pressurized Irrigation Networks

Mohammad Masoumi (), Bahram Sami Kashkooli (), Mohammad Javad Monem () and Hossein Montaseri ()
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Mohammad Masoumi: Yasouj University
Bahram Sami Kashkooli: The University of Tarbiat Modares
Mohammad Javad Monem: The University of Tarbiat Modares
Hossein Montaseri: Yasouj University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 14, No 5, 5063 pages

Abstract: Abstract In the context of water as an economic good, from the use of water, one can derive a value, which can be affected by the reliability of supply. On-demand irrigation systems provide valuable water to skilled farmers who have the capacity to maximize economic value of water. In this study, simultaneous optimization of on-demand irrigation network layout and pipe sizes is considered taking into account both investment and annual energy costs. The optimization problem is formulated as a problem of searching for the upstream head value, which minimizes the total cost (investment and energy costs) of the system. The investment and annual energy costs are obtained in two separate phases. Max–Min ant system (MMAS) algorithm is used to obtain the minimum cost design considering layout and pipe diameters of the network simultaneously. Clement methodology is used to determine flow rates of pipelines at the peak period of irrigation requirements. The applicability of the proposed method is showed by re-designing a real world example from literature.

Keywords: Energy; Ant colony; On-demand; Irrigation; Optimization (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11269-016-1468-6

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