Model for Optimal Operation of Water Distribution Pumps with Uncertain Demand Patterns

Puneet Khatavkar, Larry Mays

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

Abstract

An optimization model for pump operation based upon minimizing operation and maintenance costs of pumps for a specified demand (load) curve is presented. The purpose of this model is to determine pump operation to meet the known consumer demands as well as to satisfy the pressure requirements in the water distribution system. In addition, constraints on the number of pump ('on-off') switches are included as a surrogate to minimizing the maintenance costs. This model is a mixed integer nonlinear programming (MINLP) problem to consider the uncertainty in demand using a chance constraint formulation of the demand constraint. The optimization model was solved using the LocalSolver option in A Mathematical Programming Language (AMPL). The model was first applied to the operation of the example pumping system for an urban water distribution system (WDS) illustrating a reduction in operation costs using the optimization model. The optimization model with the chance-constraint on meeting demand was applied for a range of demand satisfaction uncertainties. A decrease in the operation costs was observed with an increased uncertainty in demand satisfaction, which shows that the model further optimizes the operations considering the relaxed constraints. Model application could be extended to operations of pumping systems during emergencies and contingencies such as droughts, component failures, etc.

Original languageEnglish (US)
Title of host publicationPipelines 2017
Subtitle of host publicationPlanning and Design - Proceedings of Sessions of the Pipelines 2017 Conference
PublisherAmerican Society of Civil Engineers (ASCE)
Pages107-117
Number of pages11
ISBN (Electronic)9780784480878
DOIs
StatePublished - 2017
EventPipelines 2017 Conference: Planning and Design - Phoenix, United States
Duration: Aug 6 2017Aug 9 2017

Other

OtherPipelines 2017 Conference: Planning and Design
CountryUnited States
CityPhoenix
Period8/6/178/9/17

Fingerprint

pump
Pumps
Water
water
Water distribution systems
cost
Costs
pumping
demand
distribution
Drought
Mathematical programming
Nonlinear programming
Computer programming languages
drought
Switches
Uncertainty

ASJC Scopus subject areas

  • Mechanical Engineering
  • Geotechnical Engineering and Engineering Geology
  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Khatavkar, P., & Mays, L. (2017). Model for Optimal Operation of Water Distribution Pumps with Uncertain Demand Patterns. In Pipelines 2017: Planning and Design - Proceedings of Sessions of the Pipelines 2017 Conference (pp. 107-117). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784480878.011

Model for Optimal Operation of Water Distribution Pumps with Uncertain Demand Patterns. / Khatavkar, Puneet; Mays, Larry.

Pipelines 2017: Planning and Design - Proceedings of Sessions of the Pipelines 2017 Conference. American Society of Civil Engineers (ASCE), 2017. p. 107-117.

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

Khatavkar, P & Mays, L 2017, Model for Optimal Operation of Water Distribution Pumps with Uncertain Demand Patterns. in Pipelines 2017: Planning and Design - Proceedings of Sessions of the Pipelines 2017 Conference. American Society of Civil Engineers (ASCE), pp. 107-117, Pipelines 2017 Conference: Planning and Design, Phoenix, United States, 8/6/17. https://doi.org/10.1061/9780784480878.011
Khatavkar P, Mays L. Model for Optimal Operation of Water Distribution Pumps with Uncertain Demand Patterns. In Pipelines 2017: Planning and Design - Proceedings of Sessions of the Pipelines 2017 Conference. American Society of Civil Engineers (ASCE). 2017. p. 107-117 https://doi.org/10.1061/9780784480878.011
Khatavkar, Puneet ; Mays, Larry. / Model for Optimal Operation of Water Distribution Pumps with Uncertain Demand Patterns. Pipelines 2017: Planning and Design - Proceedings of Sessions of the Pipelines 2017 Conference. American Society of Civil Engineers (ASCE), 2017. pp. 107-117
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