Journal article
Minimizing pump energy in a wastewater processing plant
Energy (Oxford), Vol.47(1), pp.505-514
2012
DOI: 10.1016/j.energy.2012.08.048
Abstract
This paper discusses energy savings in wastewater processing plant pump operations and proposes a pump system scheduling model to generate operational schedules to reduce energy consumption. A neural network algorithm is utilized to model pump energy consumption and fluid flow rate after pumping. The scheduling model is a mixed-integer nonlinear programming problem (MINLP). As solving a data-driven MINLP is challenging, a migrated particle swarm optimization algorithm is proposed. The modeling and optimization results show that the performance of the pump system can be significantly improved based on the computed schedules.
Details
- Title: Subtitle
- Minimizing pump energy in a wastewater processing plant
- Creators
- Zijun Zhang - Department of Mechanical and Industrial Engineering, 3131 Seamans Center, The University of Iowa, Iowa City, IA 52242 ― 1527, United StatesYaohui Zeng - Department of Mechanical and Industrial Engineering, 3131 Seamans Center, The University of Iowa, Iowa City, IA 52242 ― 1527, United StatesAndrew KUSIAK - Department of Mechanical and Industrial Engineering, 3131 Seamans Center, The University of Iowa, Iowa City, IA 52242 ― 1527, United States
- Resource Type
- Journal article
- Publication Details
- Energy (Oxford), Vol.47(1), pp.505-514
- Publisher
- Elsevier; Kidlington
- DOI
- 10.1016/j.energy.2012.08.048
- ISSN
- 0360-5442
- eISSN
- 1873-6785
- Grant note
- DOI: 10.13039/100009228, name: Iowa Energy Center, award: 10-1
- Language
- English
- Date published
- 2012
- Academic Unit
- Nursing; Industrial and Systems Engineering
- Record Identifier
- 9984064571402771
Metrics
15 Record Views