Optimal design and operation of River Basin Storage. (September 2020)
- Record Type:
- Journal Article
- Title:
- Optimal design and operation of River Basin Storage. (September 2020)
- Main Title:
- Optimal design and operation of River Basin Storage
- Authors:
- Burrow, Andy
Newman, Alexandra - Abstract:
- Highlights: We extend the capability of existing river basin simulation models with optimization. We reduce the number of locations considered for potential reservoir sites. We describe via our solution that prescriptive flows and additional storage mitigate shortages. We show that the minimum-cost solution incorporates a series of smaller reservoirs. Abstract: The State of Colorado's Stream Simulation Model (StateMod) provides comparative analysis for historical and future water resource decisions and policies along the Lower South Platte River. In order to identify locations for increased water storage, our research uses simulated data produced by StateMod as input to a mixed integer-linear optimization model. This model minimizes the cost of meeting unmet demands by assigning network flow of, and designing additional storage for, excess water while adhering to constraints that force the physical and topographical structures of the river. Using historical, measured flow data from 1962 through 2012, we extend the capability of StateMod by considering solutions with the following characteristics: (1) a single-reservoir solution, (2) a solution in which we only expand existing reservoirs, and (3) a solution without the constraints in (1) or (2). We conclude that, for the time horizon considered, the optimal method to mitigate shortages is with the construction of a combination of smaller surface and sub-surface reservoirs, and a corresponding prescribed flow. The totalHighlights: We extend the capability of existing river basin simulation models with optimization. We reduce the number of locations considered for potential reservoir sites. We describe via our solution that prescriptive flows and additional storage mitigate shortages. We show that the minimum-cost solution incorporates a series of smaller reservoirs. Abstract: The State of Colorado's Stream Simulation Model (StateMod) provides comparative analysis for historical and future water resource decisions and policies along the Lower South Platte River. In order to identify locations for increased water storage, our research uses simulated data produced by StateMod as input to a mixed integer-linear optimization model. This model minimizes the cost of meeting unmet demands by assigning network flow of, and designing additional storage for, excess water while adhering to constraints that force the physical and topographical structures of the river. Using historical, measured flow data from 1962 through 2012, we extend the capability of StateMod by considering solutions with the following characteristics: (1) a single-reservoir solution, (2) a solution in which we only expand existing reservoirs, and (3) a solution without the constraints in (1) or (2). We conclude that, for the time horizon considered, the optimal method to mitigate shortages is with the construction of a combination of smaller surface and sub-surface reservoirs, and a corresponding prescribed flow. The total increased storage volume is 25, 378 acre-feet (AF). Our work can be used as a strategic analysis tool by planners and engineers to quickly identify the most effective reservoir locations and the order in which to build them, rather than examining every potential storage site and the time at which it should be built, if at all. … (more)
- Is Part Of:
- Omega. Volume 95(2020)
- Journal:
- Omega
- Issue:
- Volume 95(2020)
- Issue Display:
- Volume 95, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 95
- Issue:
- 2020
- Issue Sort Value:
- 2020-0095-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-09
- Subjects:
- Water resource planning -- Mixed-integer programming -- Underlying network structure -- Reservoir design -- River basin management
Management -- Periodicals
658.4005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/03050483 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.omega.2019.04.004 ↗
- 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:
- 13409.xml