Convex Pollution Control of Wastewater Treatment Systems

Fuente: arXiv
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Autor principal: Taylor, Joshua
Formato: Preprint
Publicado: 2025
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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