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Simulation Optimization for Optimal Sizing of Water Transfer Systems

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Harmony Search Algorithm

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 382))

Abstract

Water transfer development projects (WTDPs) could be considered in arid and semi-arid areas in response to uneven distribution of available water resources over space. This paper presents a simulation-optimization model by linking Water Evaluation and Planning System (WEAP) to particle swarm optimization (PSO) algorithm for optimal design and operation of the Karoon-to- Zohreh Basin WTDP in Iran. PSO searches for optimal values of design and operation variables including capacities of water storage and transfer components as well as priority numbers of reservoirs target storage levels, respectively; And WAEP evaluates the system operation for any combinations of the design and operation variables. The results indicate that the water transfer project under consideration can supply water for the development of Dehdash and Choram Cropland (DCCL) in an undeveloped area located in Kohkiloyeh Province.

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Author information

Authors and Affiliations

  1. School of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran

    Nasrin Rafiee Anzab, S. Jamshid Mousavi & Bentolhoda A. Rousta

  2. School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, South Korea

    Joong Hoon Kim

Authors
  1. Nasrin Rafiee Anzab
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  2. S. Jamshid Mousavi
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  3. Bentolhoda A. Rousta
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  4. Joong Hoon Kim
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Corresponding author

Correspondence to Bentolhoda A. Rousta .

Editor information

Editors and Affiliations

  1. Civil, Environmental and Architectural Engineering, Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  2. Energy IT, Gachon University, Seongnam-Si, Korea (Republic of)

    Zong Woo Geem

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© 2016 Springer-Verlag Berlin Heidelberg

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Anzab, N.R., Jamshid Mousavi, S., Rousta, B.A., Kim, J.H. (2016). Simulation Optimization for Optimal Sizing of Water Transfer Systems. In: Kim, J., Geem, Z. (eds) Harmony Search Algorithm. Advances in Intelligent Systems and Computing, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47926-1_35

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  • DOI: https://doi.org/10.1007/978-3-662-47926-1_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47925-4

  • Online ISBN: 978-3-662-47926-1

  • eBook Packages: EngineeringEngineering (R0)

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