(1) the complete title of the papers ------------------------------------------------ Optimizing Water System Improvement for a Growing Community (2) the name, physical mailing address... ----------------------------------------- Zheng Yi Wu zheng.wu@bentley.com Thomas M. Walski Haestad Methods Solution Center Bentley Systems Inc., 27 Siemon Co. Dr. Watertown, CT06795, USA Tel 203-8050562 Gary Naumick Joe Dugandzic Rob Nasuti America Water 1025 Laurel Oak Road Voorhees, NJ 08043, USA (3) the name of the corresponding author ---------------------------------------- Zheng Yi Wu (4) the abstract(s) of the paper(s) ----------------------------------- To meet the water supply requirement in a growing community, system improvement alternatives needs to be identified to satisfy the increasing demand. This paper shows that the intelligent optimization modeling tool can assist practical engineers and decision-maker to optimize system expansions and prioritize the budget allocation of capital improvement program (CIP) for a real world water system. The water distribution system undertaken for study represents a community where the water consumption is projected to grow 30% in 15 years. Increasing consumption requires that the water system be improved to move water from sources into the growing areas. The criteria for enhancing the system capacity include satisfying the pressure requirement, the maximum allowable flow velocity and sufficient tank storage. The improvement task is to identify the feasible pipe routes and pipe sizes of the new pipes. Due to the complex interconnectivity and the large combinations of possible pipe routes/sizes, it proved technically impossible for experienced engineers to identify a feasible design solution. GA-based optimization design tool has been applied to forge the cost-effective system improvement solutions. The study shows that optimization modeling is a powerful approach for supporting and enhancing a sound decision-making process in water industry. (5) a list containing one or more of the eight letters ------------------------------------------------------ (E) The result is equal to or better than the most recent human-created solution to a long-standing problem for which there has been a succession of increasingly better human-created solutions. (G) The result solves a problem of indisputable difficulty in its field. (6) a statement stating why the result satisfies that criteria -------------------------------------------------------------- The design of water supply systems is an important and critical task to improve the aged water infrastructure and meet the demand in growing communities. The latest survey by America Society of Civil Engineers reports (ASCE 2005 report card): "Nation's 54,000 drinking water systems face staggering investment needs over the next 20 years. Drinking water faces an annual shortfall of at least $11 billion to replace aging facilities that are near the end of their useful life and to comply with existing and future federal water regulations. Federal funding for drinking water in 2005 remained level at $850 million, less than 10% of total national requirement." To meet the demand in a growing community and to improve the aged water infrastructures, water system design paradigm has been constantly enhanced by employing hydraulic and water quality simulation models.However, due to the increasingly complex interconnectivity and the large combinations of possible design options (pipe routes/sizes), it is proven technically difficult for experienced engineers to identify even a feasible solution that satisfies all the design contraints and operation criteria for a real world water system. water system improvement alternatives must be optimized to meet all the water supply requirement and also deliver the maximum return for every dollar spent. The results put forth in the paper show a typical example of improving a real water system. 26 possible pipes are identified to be designed, each pipe can be sized as one of 7 possible sizes, a total of 7 to power 26 potential solutions exist. It proved impossible for the senior engineers to come up with a workable design alternative. The GA-based design tool is employed to conduct the optimization modeling for finding the system improvement solution. It has successfully optimized the system expansion alternatives for a wide range of operation conditions and also prioritized the budget allocation of capital improvement program (CIP). (7) a full citation of the papers + links to full text ------------------------------------------------------ 1. Wu Z. Y., Walski T. M., Naumick G., Dugandzic J. and Nasuti R. (2005) "Optimizing Water system improvement for a growing community." proc. of International Conference of Computing and Control in the Water Industry, Sept. 5-7 2005, Exeter, UK Some other related papers since 2004 inlcude: 1. Wu Z. Y. (2005 ) International Conference of Computing and Control in the Water Industry, Sept. 5-7 2005, Exeter, UK. 2. Wu Z. Y. (2005) algorith.m 2005 World Water and Environmental Resource Congress, May 15-19, Anchorage, AK. 3. Wu Z. Y. and Walski T. M. (2005) constraint handling techniques for pipeline optimizatio.n ASCE Journal of Water Resources Planning and Management May/Jun, pp. 181-192. 4. Wu Z, Y. (2004) Operatino, the 4th International Conference on Watershed Management and Urban Water Supply, Dec. 13-15, 2004, Shenzhen, China. 5. Wu Z, Y. (2004) Healht, the 4th International Conference on Watershed Management and Urban Water Supply, Dec. 13-15, 2004, Shenzhen, China. 6. Wu, Z. Y., Elio F. A. and Ernesto G. (2004) Productivity and Model Quality for Large Water Systesm Journal of America Water Works Association, Vol. 96, No.10, pp27-34.