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A Series of ILP models for the optimization of water distribution networks

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Abstract

The design of rural drinking water schemes consists of optimization of several network components like pipes, tanks, pumps and valves. The sizing and configuration of these network configurations need to be such that the water requirements are met while at the same time being cost efficient so as to be within government norms. We developed the JalTantra system to design such water distribution networks. The Integer Linear Program (ILP) model used in JalTantra and described in our previous work solved the problem optimally, but took a significant amount of time for larger networks—an hour for a network with 100 nodes. In this current work, we describe a series of three improvements of the model. We prove that these improvements result in tighter models, i.e. the set of points of linear relaxation is strictly smaller than the linear relaxation for the initial model. We test the series of three improved models along with the initial model over eight networks of various sizes and show a distinct improvement in performance. The 100-node network now takes only 49 s to solve. These changes have been implemented in JalTantra, resulting in a system that can solve the optimization of real world rural drinking water networks in a matter of seconds. The JalTantra system is free for use, and is available at https://www.cse.iitb.ac.in/jaltantra/.

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References

  1. Alperovits E and Shamir U 1977 Design of optimal water distribution systems. Water Resources Research 13(6): 885–900

    Article  Google Scholar 

  2. Liang T, Yang K P and Wu I P 1974 Dynamic programming optimization: a water distribution system design. Water Resources Research Center, University of Hawaii

  3. Lansey K E and Mays L W 1989 Optimization model for water distribution system design. Journal of Hydraulic Engineering 115(10): 1401-1418.

    Article  Google Scholar 

  4. Samani H M and Mottaghi A 2006 Optimization of water distribution networks using integer linear programming. Journal of Hydraulic Engineering, 132(5): 501–509

    Article  Google Scholar 

  5. Yates D F, Templeman A B and Boffey T B 1984 The computational complexity of the problem of determining least capital cost designs for water supply networks. Engineering Optimization 7(2): 143–155

    Article  Google Scholar 

  6. Savic D A and Walters G A 1997 Genetic algorithms for least-cost design of water distribution networks. Journal of Water Resources Planning and Management 123(2): 67–77

    Article  Google Scholar 

  7. Nicklow J, Reed P, Savic D, Dessalegne T, Harrell L, Chan-Hilton A ... and Zechman E 2009 State of the art for genetic algorithms and beyond in water resources planning and management. Journal of Water Resources Planning and Management 136(4): 412–432

    Article  Google Scholar 

  8. da Conceicao Cunha M and Ribeiro L 2004 Tabu search algorithms for water network optimization. European Journal of Operational Research 157(3): 746–758

    Article  Google Scholar 

  9. Eusuff M M and Lansey K E 2003 Optimization of water distribution network design using the shuffled frog leaping algorithm. Journal of Water Resources Planning and Management 129(3): 210–225

    Article  Google Scholar 

  10. Swamee P K, Kumar V and Khanna P 1973 Optimization of dead end water distribution systems. Journal of the Environmental Engineering Division 99(2): 123–134

    Google Scholar 

  11. WaterGEMS, Bentley Systems 2006 Bentley Systems Incorporated, Exton, PA

    Google Scholar 

  12. Modak P M and Dhoonia J 1991 A computer program in Quick BASIC for the least cost design of branched water distribution networks. Asia Water Supply and Sanitation Sector Development Project, UNDP/World Bank, RAS/86/160

  13. Hooda N, Desai R and Damani O P 2013 Design and optimization of piped water network for tanker fed villages in Mokhada Taluka. Technical Report No. TR-CSE-2013e-55, Department of Computer Science and Engineering, IIT Bombay

  14. Choudhary V, Damani O, Desai R, Joshi A, Kanwat M, Kaushal M et al 2013 Redesigning Khardi rural piped water network scheme for sustainability. Technical Report No. TR-CSE-2013-56, Department of Computer Science and Engineering, IIT Bombay

  15. Vyas J H, Shrimali N J and Modi M A 2014 Optimization of Dhrafad Regional Water Supply Scheme using Branch 3.0. International Journal of Innovative Research in Science, Engineering and Technology

  16. Lad Y, Main J S and Chawathe S D 2012 Optimization of hydraulic design of water supply tree network based on present worth analysis. Journal of Indian Water Works Association (January–March): 67–71

  17. Hooda N and Damani O 2017 A system for optimal design of pressure constrained branched piped water networks. Procedia Engineering 186: 349–356

    Article  Google Scholar 

  18. Hooda N and Damani O 2017 Inclusion of tank configurations as a variable in the cost optimization of branched piped-water networks. Drinking Water Engineering and Science 10(1): 39–44

    Article  Google Scholar 

  19. Williams G S and Hazen A 1908 Hydraulic tables.. J. Wiley & Sons, London

    Google Scholar 

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Hooda, N., Mahajan, A. & Damani, O. A Series of ILP models for the optimization of water distribution networks. Sādhanā 44, 239 (2019). https://doi.org/10.1007/s12046-019-1211-0

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  • DOI: https://doi.org/10.1007/s12046-019-1211-0

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