Optimization Modeling of Complex Surface Water Collection Systems

by Ken Young,
Stuart Stein,
Kamal Saffarinia,
George Oliger,
Raphael Hurwitz,
Robert Mayer,
Janine Witko,

Abstract: The New York City (NYC) water supply system is currently being modeled using Linear Programming (LP) optimization techniques. A series of simulations were performed to investigate the model's capability to allocate flows which optimize the linear objective function subject to various system constraints. Two-year optimization modeling for severe thought periods were performed using different water year starting dates and a weekly time step. The main objective function of the model is to minimize the costs for pumping and treatment, lost revenue due to demand reductions, and power generation revenues. Results such as optimal values and storage levels at some reservoirs are presented. A set of operating rules derived from the statistical analysis of the results are also presented.

Subject Headings: Optimization models | Hydrologic models | Surface water | Terrain models | Water supply systems | Revenues | Flow simulation | Urban areas | Computer programming | North America | United States | New York | New York City

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