Pipe Network Optimization for Maximal Utilization Rate of Gravity Head Based on LCA

  • Yujuan Fu
  • Yulong Zhang
  • Huanjie Cai
  • Dong Chen
  • Junshi He
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 138)

Abstract

The general optimization design models were aimed at the minimum cost of the gravity distribution network omitted other fees impacts on the system building operation cost and could not ensure the design scheme satisfies the running effect. The objective function in this chapter is based on the gravity water head utilization rate produced by the fall of the head position degree, with two different expressions namely utilization rate of pipe gravity head and utilization rate of path gravity head as network optimization objective functions. Model solution method is with line-up competition algorithm (LCA) between families and inside a family. Compared with the solution method of genetic algorithm aimed at the minimum investment cost, the result showed that the method can obtain the optimal solution and have higher search efficiency.

Keywords

Pipe network optimization Utilization ratio of gravity head Line-up competition algorithm Objective function 

Notes

Acknowledgments

This research was supported by postdoctoral foundation and youth foundation by Shenyang Agriculture University. The author thanks prof. Yulong Zhang and Prof. Huanjie Cai.

References

  1. 1.
    Lavric V, Iancu P, Plesu V (2006) Cost-based design of wastewater network optimal topology. Res, Res Conserv Recycl 44:53–63Google Scholar
  2. 2.
    Montesinos P, Garcia-Guzman A, Ayuso JL (1999) Water distribution network optimization using a modified genetic algorithm. Water Resour Res 35:3467–3473CrossRefGoogle Scholar
  3. 3.
    Keedwell E, Khu ST (2005) A hybrid genetic algorithm for the design of water distribution networks. Eng Appl Artif Intel 18:461–472CrossRefGoogle Scholar
  4. 4.
    Gosselin L, Bejan A (2005) Tree networks for minimal pumping power. Int J Therm Sci 44:53–56CrossRefGoogle Scholar
  5. 5.
    Yan LX, Ma DX (2001) Global optimization of no convex nonlinear programs using line-up competition algorithm. Comput Chem Eng 25:1601–1605CrossRefGoogle Scholar
  6. 6.
    Yan LX (2003) Solving combinatorial optimization problems with line-up competition algorithm. Comput chem Eng 27:251–258CrossRefGoogle Scholar
  7. 7.
    Bai D (1995) The optimum design for gravity sprinkle pipe network. Trans Chin Soc Agric Mach 26:43–46 Google Scholar

Copyright information

© Springer-Verlag London Limited  2012

Authors and Affiliations

  • Yujuan Fu
    • 1
    • 3
  • Yulong Zhang
    • 1
  • Huanjie Cai
    • 2
  • Dong Chen
    • 3
  • Junshi He
    • 4
  1. 1.Key Laboratory of Agricultural Resource and Environment of LiaoningShenyang Agricultural UniversityProvince ShenyangChina
  2. 2.The Key Laboratory of Agricultural Soil and Water EngineeringNorthwest A&F UniversityYanglingChina
  3. 3.Shenyang Design and Research Institute of Chinese Coal International Engineering GroupShenyangChina
  4. 4.College of Water ResourcesShenyang Agriculture UniversityShenyangChina

Personalised recommendations