Chapter 4
Mathematical Modeling of Electro-Coagulation Process
Publication: Electro-Coagulation and Electro-Oxidation in Water and Wastewater Treatment
Abstract
Several modeling techniques have recently evolved that can accurately simulate and predict the outcome of the electrocoagulation (EC) process. This chapter details some modeling techniques applied to EC processes using various computational tools. The modeling techniques used include artificial neural network (ANN), response surface methodology (RSM), adsorption-based models, and mathematical kinetic equation-based models. The distinct core concepts of these techniques are identified with respect to modeling EC processes; each one has been successfully applied to outcome prediction. Details are also provided on the various critical elements of ANN design.
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Electro-Coagulation and Electro-Oxidation in Water and Wastewater Treatment
Pages: 79 - 117
Editors: Patrick Drogui, Ph.D., Université du Québec, R. D. Tyagi, Ph.D., Université du Québec, Rao Y. Surampalli, Ph.D., Global Institute for Energy, Environment and Sustainability, Tian C. Zhang, Ph.D., University of Nebraska-Lincoln, Song Yan, Ph.D., Université du Québec, and Xiaolei Zhang, Ph.D., Harbin Institute of Technology (Shenzhen)
ISBN (Print): 978-0-7844-1602-0
ISBN (Online): 978-0-7844-8399-2
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© 2022 American Society of Civil Engineers.
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Published online: May 12, 2022
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