Towards low-carbon papermaking wastewater treatment process based on Kriging surrogate predictive model
Z He, M Hong, H Zheng, J Wang, Q Xiong… - Journal of Cleaner …, 2023 - Elsevier
Papermaking wastewater contains a diverse range of organic carbon, nitrogen and other
pollutants, which could lead to the emission of greenhouse gases (GHG) during biochemical …
pollutants, which could lead to the emission of greenhouse gases (GHG) during biochemical …
Dynamic optimization of a wastewater treatment process for sustainable operation using multi-objective genetic algorithm and non-dominated sorting cuckoo search …
KG Aparna, R Swarnalatha - Journal of Water Process Engineering, 2023 - Elsevier
Wastewater treatment plants (WWTP) face challenges due to nonlinearity and influent
oscillations. An efficient optimal control system is necessary to improve effluent water quality …
oscillations. An efficient optimal control system is necessary to improve effluent water quality …
Experimental study of the biological treatment process of the exit wastewater from flocculation reactor
A Baghizade, F Farahbod, O Alizadeh - Applied Water Science, 2023 - Springer
This study investigates biological treatment of outlet wastewater from flocculation reactor.
This stream has an unpleasant odor. So, a biological treatment unit has been used to …
This stream has an unpleasant odor. So, a biological treatment unit has been used to …
Interpretable GHG emission prediction for papermaking wastewater treatment process with deep learning
The content of pollutants in papermaking wastewater is highly varied due to heterogeneous
raw materials, product types, and biochemical process conditions, resulting in significant …
raw materials, product types, and biochemical process conditions, resulting in significant …
Intelligent aeration amount prediction control for wastewater treatment process based on recurrent neural network
X Yu, Y Shen, Z Guo, H Li, F Guo, H Zhang - Journal of the Franklin Institute, 2024 - Elsevier
The use of machine learning in artificial intelligence to solve industrial problems has been a
current trend. Predictions can be made by machine learning algorithms. This greatly …
current trend. Predictions can be made by machine learning algorithms. This greatly …
Modeling greenhouse gas emissions from biological wastewater treatment process with experimental verification: A case study of paper mill
Wastewater treatment plants (WWTPs) have been regarded as the main sources of
greenhouse gas (GHG) emissions. This study compares the influent characteristics of …
greenhouse gas (GHG) emissions. This study compares the influent characteristics of …
A binary-level hybrid intelligent control configuration for sustainable energy consumption in an activated sludge biological wastewater treatment plant
Biological wastewater treatment plants employ energy-intensive techniques for maintaining
environmental conditions. This paper designs and evaluates a novel binary-level hybrid …
environmental conditions. This paper designs and evaluates a novel binary-level hybrid …
Bi-Level Optimal Control Based on Similarity Clustering for Wastewater Treatment Process with Greenhouse Gas Emissions
X Bai, Y Hou, H Han - 2024 36th Chinese Control and Decision …, 2024 - ieeexplore.ieee.org
There is a global consensus on reducing greenhouse gas (GHG) emissions to slow down
global warming. GHG emissions from the wastewater treatment process (WWTP) have also …
global warming. GHG emissions from the wastewater treatment process (WWTP) have also …
Advancements in machine learning modelling for energy and emissions optimization in wastewater treatment plants: A systematic review
T Abunama, A Dellieu, S Nonet - Water and Environment Journal - Wiley Online Library
Wastewater treatment plants (WWTPs) are high‐energy consumers and major Greenhouse
Gas (GHG) emitters. This review offers a comprehensive global overview of the current …
Gas (GHG) emitters. This review offers a comprehensive global overview of the current …