Systematic performance evaluation of reinforcement learning algorithms applied to wastewater treatment control optimization

HC Croll, K Ikuma, SK Ong… - Environmental Science & …, 2023 - ACS Publications
Treatment of wastewater using activated sludge relies on several complex, nonlinear
processes. While activated sludge systems can provide high levels of treatment, including …

Design of hierarchical control strategies for biological wastewater treatment plants to reduce operational costs

ESS Tejaswini, S Panjwani, AS Rao - Chemical Engineering Research and …, 2020 - Elsevier
In this research, hierarchical control strategies are developed for biological wastewater
treatment plants (WWTPs) to reduce the operational expenses. The benchmark simulation …

Improving wastewater treatment plant performance based on effluent quality, operational costs, and reliability using control strategies for water and sludge lines

M Rajaei, S Nazif - Process Safety and Environmental Protection, 2022 - Elsevier
As a result of urbanization and population growth, wastewater treatment plants (WWTPs) are
experiencing increased influent flow rates, pollutant loads, and stricter standards for effluent …

Supervisory control configurations design for nitrogen and phosphorus removal in wastewater treatment plants

AG Sheik, MM Seepana… - Water Environment …, 2021 - Wiley Online Library
Abstract Model predictive control (MPC) and Fuzzy controllers are designed in a two‐level
hierarchical supervisory control framework for control of activated sludge‐based wastewater …

Optimizing Wastewater Treatment Plant Operational Efficiency Through Integrating Machine Learning Predictive Models and Advanced Control Strategies

KG Aparna, R Swarnalatha, M Changmai - Process Safety and …, 2024 - Elsevier
This research optimizes wastewater treatment plant (WWTP) operational performance by
integrating advanced control strategies and predictive modeling. Emphasizing the …

Reinforcement learning optimization of a water resource recovery facility: Evaluating the impact of reward function design on agent training, control optimization, and …

HC Croll, K Ikuma, SK Ong, S Sarkar - Journal of Water Process …, 2025 - Elsevier
This study applied reinforcement learning (RL) optimization to the simulation of a water
resource recovery facility (WRRF) to evaluate the impact of reward function design under …

Integrated supervisory fuzzy control framework for biological wastewater treatment plants operation and their effect on GHG emissions

ESS Tejaswini, P Maheswari, SR Ambati - Chemical Engineering Science, 2024 - Elsevier
In this research, the effect on the greenhouse gases (GHG) emissions from biological
wastewater treatment plants (WWTP) operation by implementing an integrated supervisory …

Design and Evaluation of Hierarchical Control Strategies for Wastewater Treatment Plants Using Bürger-Diehl Settler Model in BSM1 Framework

ESS Tejaswini, S Panjwani, E Torfs… - Journal of …, 2022 - ascelibrary.org
In this paper, the well-known Benchmark Simulation Model No. 1 (BSM1) was modified with
a new model for the secondary clarifier to improve its prediction capability. The Bürger-Diehl …

Nested control loop configuration for a three stage biological wastewater treatment process

P Maheswari, AG Sheik, ESS Tejaswini… - Chemical Product and …, 2021 - degruyter.com
In every urban infrastructure, Wastewater Treatment Plant (WWTP) requires special attention
because of its adverse effects on the environment and also for resource recovery. Therefore …

Control of an activated sludge wastewater treatment process based on a Calibrated and modified BSM1 Model

G Harja, I Naşcu - 2019 20th International Carpathian Control …, 2019 - ieeexplore.ieee.org
This paper presents process modeling and dissolved oxygen concentration control loop
design for an intermittently operated municipal wastewater treatment plant with the goal to …