A precision pump schedule optimization for the water supply networks with small buffers. (January 2019)
- Record Type:
- Journal Article
- Title:
- A precision pump schedule optimization for the water supply networks with small buffers. (January 2019)
- Main Title:
- A precision pump schedule optimization for the water supply networks with small buffers
- Authors:
- Hong, Sung-Pil
Kim, Taegyoon
Lee, Subin - Abstract:
- Highlights: We proposed a precision pump schedule optimization model which is hydraulically accurate. Based on the hydraulic relaxation, we proposed the well-established two-phase solution method. We identified the smoothing constraints of pump operation and solved this problem using shortest path formulation. The proposed method achieved an energy-cost saving of 5.9% on average and the computation time suitable for unit periods as short as 15 min. Abstract: The study addresses the problem of finding an energy-efficient pump and valve configuration of a water supply network. It is motivated particularly by scantily buffered networks which require both method precision and algorithm efficiency that tightly chase notably dynamic water demand. The model unprecedentedly comprehends physical and hydraulic laws that govern pump-valve configuration along with ensuing flow and energy level. The solution method combines hydraulic relaxation of individual pump characteristic curves to a station curve and an LP-based search performing optimal trade-off between water head and discharge beyond the minimum energy level for each station. With a hamming-distance-type shortest path formulation incorporated into the search steps, it can also minimize both frequency and magnitude of pump-valve reconfiguration. The proposed method achieved an energy-cost saving of 5.9% and did so more consistently than manual operation, while retaining computation time suitable for unit period as short asHighlights: We proposed a precision pump schedule optimization model which is hydraulically accurate. Based on the hydraulic relaxation, we proposed the well-established two-phase solution method. We identified the smoothing constraints of pump operation and solved this problem using shortest path formulation. The proposed method achieved an energy-cost saving of 5.9% on average and the computation time suitable for unit periods as short as 15 min. Abstract: The study addresses the problem of finding an energy-efficient pump and valve configuration of a water supply network. It is motivated particularly by scantily buffered networks which require both method precision and algorithm efficiency that tightly chase notably dynamic water demand. The model unprecedentedly comprehends physical and hydraulic laws that govern pump-valve configuration along with ensuing flow and energy level. The solution method combines hydraulic relaxation of individual pump characteristic curves to a station curve and an LP-based search performing optimal trade-off between water head and discharge beyond the minimum energy level for each station. With a hamming-distance-type shortest path formulation incorporated into the search steps, it can also minimize both frequency and magnitude of pump-valve reconfiguration. The proposed method achieved an energy-cost saving of 5.9% and did so more consistently than manual operation, while retaining computation time suitable for unit period as short as 15 min. … (more)
- Is Part Of:
- Omega. Volume 82(2019)
- Journal:
- Omega
- Issue:
- Volume 82(2019)
- Issue Display:
- Volume 82, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 82
- Issue:
- 2019
- Issue Sort Value:
- 2019-0082-2019-0000
- Page Start:
- 24
- Page End:
- 37
- Publication Date:
- 2019-01
- Subjects:
- Application -- Optimization -- Planning and control -- Water supply -- Pump scheduling
Management -- Periodicals
658.4005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/03050483 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.omega.2017.12.001 ↗
- Languages:
- English
- ISSNs:
- 0305-0483
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6256.426000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7939.xml