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 language | English (US) |
|---|---|
| Title of host publication | Pipelines 2017 |
| Subtitle of host publication | Planning and Design - Proceedings of Sessions of the Pipelines 2017 Conference |
| Publisher | American Society of Civil Engineers (ASCE) |
| Pages | 107-117 |
| Number of pages | 11 |
| ISBN (Electronic) | 9780784480878 |
| DOIs | |
| State | Published - 2017 |
| Event | Pipelines 2017 Conference: Planning and Design - Phoenix, United States Duration: Aug 6 2017 → Aug 9 2017 |
Other
| Other | Pipelines 2017 Conference: Planning and Design |
|---|---|
| Country | United States |
| City | Phoenix |
| Period | 8/6/17 → 8/9/17 |
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ASJC Scopus subject areas
- Mechanical Engineering
- Geotechnical Engineering and Engineering Geology
- Civil and Structural Engineering
- Safety, Risk, Reliability and Quality
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Model for Optimal Operation of Water Distribution Pumps with Uncertain Demand Patterns
AU - Khatavkar, Puneet
AU - Mays, Larry
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=85030106384&partnerID=8YFLogxK
U2 - 10.1061/9780784480878.011
DO - 10.1061/9780784480878.011
M3 - Conference contribution
AN - SCOPUS:85030106384
SP - 107
EP - 117
BT - Pipelines 2017
PB - American Society of Civil Engineers (ASCE)
ER -