Abstract
Operational strategies to mitigate combined sewer overflows (CSOs) in older urban areas may be enhanced through real-time decision support provided to sewer operators. During severe rainfall events, real-time hydraulic simulations, coupled with control algorithms, can explore a large number of potential changes to control procedures at short time intervals to provide dynamic feedback and optimization. A model predictive control (MPC) genetic algorithm was developed in previous work and tested offline to explore the efficiency and effectiveness of alternative MPC approaches. This paper extends the MPC methodology to evaluate potential impacts of long-term capital investments on CSO frequency. An alternative strategy to mitigating CSOs in real time with sluice gates may involve replacing small-diameter pipes that cause high hydraulic grade lines throughout the system. CSO reductions may also be significantly enhanced through consideration of larger spatial scales. Replacing conduits is effective but expensive, and optimization over a larger spatial extent (without conduit replacement) has been shown to reduce CSOs by 14%. Optimization over the entire large-scale system is recommended for future work.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 144 • Issue 2 • February 2018
Copyright
©2017 American Society of Civil Engineers.
History
Received: Jan 17, 2017
Accepted: Jul 27, 2017
Published online: Dec 9, 2017
Published in print: Feb 1, 2018
Discussion open until: May 9, 2018
ASCE Technical Topics:
- Algorithms
- Asset management
- Business management
- Combined sewers
- Decision making
- Decision support systems
- Engineering fundamentals
- Financial management
- Flow (fluid dynamics)
- Fluid dynamics
- Fluid mechanics
- Hydraulic engineering
- Hydraulics
- Hydrologic engineering
- Infrastructure
- Investments
- Lifeline systems
- Mathematics
- Mitigation and remediation
- Overflow
- Practice and Profession
- Sewers
- Water and water resources
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