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

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Electrical, Information Engineering and Mechatronics 2011

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 138))

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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.

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References

  1. Lavric V, Iancu P, Plesu V (2006) Cost-based design of wastewater network optimal topology. Res, Res Conserv Recycl 44:53–63

    Google Scholar 

  2. Montesinos P, Garcia-Guzman A, Ayuso JL (1999) Water distribution network optimization using a modified genetic algorithm. Water Resour Res 35:3467–3473

    Article  Google Scholar 

  3. Keedwell E, Khu ST (2005) A hybrid genetic algorithm for the design of water distribution networks. Eng Appl Artif Intel 18:461–472

    Article  Google Scholar 

  4. Gosselin L, Bejan A (2005) Tree networks for minimal pum** power. Int J Therm Sci 44:53–56

    Article  Google Scholar 

  5. Yan LX, Ma DX (2001) Global optimization of no convex nonlinear programs using line-up competition algorithm. Comput Chem Eng 25:1601–1605

    Article  Google Scholar 

  6. Yan LX (2003) Solving combinatorial optimization problems with line-up competition algorithm. Comput chem Eng 27:251–258

    Article  Google Scholar 

  7. Bai D (1995) The optimum design for gravity sprinkle pipe network. Trans Chin Soc Agric Mach 26:43–46

    Google Scholar 

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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.

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Authors and Affiliations

  1. Key Laboratory of Agricultural Resource and Environment of Liaoning, Shenyang Agricultural University, 110866, Province Shenyang, China

    Yujuan Fu & Yulong Zhang

  2. The Key Laboratory of Agricultural Soil and Water Engineering, Northwest A&F University, 712100, Yangling, Shaanxi, China

    Huanjie Cai

  3. Shenyang Design and Research Institute of Chinese Coal International Engineering Group, 110015, Shenyang, China

    Yujuan Fu & Dong Chen

  4. College of Water Resources, Shenyang Agriculture University, 110866, Shenyang, China

    Junshi He

Authors
  1. Yujuan Fu
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  2. Yulong Zhang
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  3. Huanjie Cai
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  4. Dong Chen
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  5. Junshi He
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Corresponding author

Correspondence to Yujuan Fu .

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Editors and Affiliations

  1. , School of Electrical Engineering and, Henan Polytechnic University, Jiaozuo, China, People's Republic

    Xudong Wang

  2. , School of Electrical Engineering and, Henan Polytechnic University, Jiaozuo, China, People's Republic

    Fuzhong Wang

  3. , College of Elementary Education, Chongqing Normal University, Chongqing, China, People's Republic

    Shaobo Zhong

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© 2012 Springer-Verlag London Limited

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Fu, Y., Zhang, Y., Cai, H., Chen, D., He, J. (2012). Pipe Network Optimization for Maximal Utilization Rate of Gravity Head Based on LCA. In: Wang, X., Wang, F., Zhong, S. (eds) Electrical, Information Engineering and Mechatronics 2011. Lecture Notes in Electrical Engineering, vol 138. Springer, London. https://doi.org/10.1007/978-1-4471-2467-2_195

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  • DOI: https://doi.org/10.1007/978-1-4471-2467-2_195

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2466-5

  • Online ISBN: 978-1-4471-2467-2

  • eBook Packages: EngineeringEngineering (R0)

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