Convex Pollution Control of Wastewater Treatment Systems
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918154540679168 |
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| author | Taylor, Joshua |
| author_facet | Taylor, Joshua |
| contents | We design a model-predictive controller for managing the actuators in sewer networks. It minimizes flooding and combined-sewer overflow during rain and pollution at other times. To make the problem tractable, we use a convex relaxation of the microbial growth kinetics and a physically motivated linearization of the mass flow bilinearities. With these approximations, the trajectory optimization in each control period is a second-order cone program. In simulation, the controller releases roughly 15% less pollutant mass than a conventional controller while treating nearly the same volume of flow. It does so by better balancing the flow over the treatment plants and over time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_03918 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Convex Pollution Control of Wastewater Treatment Systems Taylor, Joshua Optimization and Control Systems and Control We design a model-predictive controller for managing the actuators in sewer networks. It minimizes flooding and combined-sewer overflow during rain and pollution at other times. To make the problem tractable, we use a convex relaxation of the microbial growth kinetics and a physically motivated linearization of the mass flow bilinearities. With these approximations, the trajectory optimization in each control period is a second-order cone program. In simulation, the controller releases roughly 15% less pollutant mass than a conventional controller while treating nearly the same volume of flow. It does so by better balancing the flow over the treatment plants and over time. |
| title | Convex Pollution Control of Wastewater Treatment Systems |
| topic | Optimization and Control Systems and Control |
| url | https://arxiv.org/abs/2510.03918 |