New concepts for meter placement in water distribution systems for demand estimation

Doo Sun Kang, Kevin E Lansey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Kang and Lansey (2008a) have shown that water distribution system (WDS) nodal demands can be estimated in real-time using pipe velocity measurements from a supervisory control and data acquisition (SCADA) system. The field measurements are key elements for the real-time state estimation. However, the limited number of metering locations has been a significant obstacle for the real-time studies and identifying locations to best gain information is critical. Previous studies for the data sampling mainly focused on minimizing either parameter or prediction uncertainties. However, reducing uncertainty does not guarantee a good fit for the model predictions in terms of the mean estimate. Therefore, robust objective criteria, that guarantee precise and accurate state estimates, must be applied. Here, an optimal meter placement (OMP) problem is formulated as a multi-objective optimization model. Three distinctive objectives are posed: (1) minimization of nodal demand estimation uncertainty; (2) minimization of nodal pressure prediction uncertainty; and (3) minimization of absolute error between demand estimates and their expected values. Objectives (1) and (2) represent model precision while objective (3) describes model accuracy. The OMP problem is solved using a multi-objective genetic algorithm (MOGA) based on Pareto-optimal solutions. The trade-off between model precision and accuracy is clearly observed from a simple network study and it is strongly recommended to use both criteria as objectives.

Original languageEnglish (US)
Title of host publicationProceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers
Pages315-322
Number of pages8
Volume342
DOIs
StatePublished - 2009
EventWorld Environmental and Water Resources Congress 2009: Great Rivers - Kansas City, MO, United States
Duration: May 17 2009May 21 2009

Other

OtherWorld Environmental and Water Resources Congress 2009: Great Rivers
CountryUnited States
CityKansas City, MO
Period5/17/095/21/09

Fingerprint

prediction
genetic algorithm
data acquisition
trade-off
pipe
demand
water distribution system
sampling
parameter

ASJC Scopus subject areas

  • Environmental Science(all)

Cite this

Sun Kang, D., & Lansey, K. E. (2009). New concepts for meter placement in water distribution systems for demand estimation. In Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers (Vol. 342, pp. 315-322) https://doi.org/10.1061/41036(342)31

New concepts for meter placement in water distribution systems for demand estimation. / Sun Kang, Doo; Lansey, Kevin E.

Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers. Vol. 342 2009. p. 315-322.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sun Kang, D & Lansey, KE 2009, New concepts for meter placement in water distribution systems for demand estimation. in Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers. vol. 342, pp. 315-322, World Environmental and Water Resources Congress 2009: Great Rivers, Kansas City, MO, United States, 5/17/09. https://doi.org/10.1061/41036(342)31
Sun Kang D, Lansey KE. New concepts for meter placement in water distribution systems for demand estimation. In Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers. Vol. 342. 2009. p. 315-322 https://doi.org/10.1061/41036(342)31
Sun Kang, Doo ; Lansey, Kevin E. / New concepts for meter placement in water distribution systems for demand estimation. Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers. Vol. 342 2009. pp. 315-322
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