Principles and Design of an Integrated Magnetics Structure for Electrochemical Applications

Elsahwi, Essam S.; Ruda, Harry E.; Dawson, F.P.

doi:10.1109/ias.2019.8912018

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…From these models the MBNA model is observed to be most effective in terms of quality and sludge levels. While, in terms of computational complexity PD (Deng et al 2020), AOPO (Deng et al 2020), SVI (Khan et al 2018), IMCDR (Elsahwi et al 2019), FLSWTP (Lamas & Giacaglia 2021), and MA (Deng et al 2020) are the most effective, but, MEDL (Heo et al 2021), FLSWTP (Lamas & Giacaglia 2021), MBNA (Cheriyamundath & Vavilala 2021), SPIC (Tung et al 2018), MWH (Karlsson et al 2019), and NP (Cheriyamundath & Vavilala 2021) have the lowest treatment delay. This is because the later models utilize chemical reactions in order to speed-up the treatment process.…”

Section: Discussionmentioning

confidence: 99%

“…This is because the later models utilize chemical reactions in order to speed-up the treatment process. In terms of deployment costs, TMOOA (Han et al 2020), IMCDR (Elsahwi et al 2019), EP (Deng et al 2020), MOPC (Han et al 2020), PD (Deng et al 2020), AOPO (Deng et al 2020), SC (Deng et al 2020), and EM (Saetta et al 2019) outperform other models, thus, are widely used for low-cost wastewater treatment. Based on this comparison, researchers can select the best model for their application, but it is difficult to identify a model with optimum quality, sludge level, complexity, delay, and cost, thus, a novel model rank (MR) is estimated for these models using Equation (1),…”

Section: Discussionmentioning

confidence: 99%

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Pragmatic analysis of wastewater treatment methods from a statistical perspective

Pande

Bhagat

2022

Water Practice and Technology

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Wastewater treatment is an environmental issue of utmost importance. Various models and architectures for wastewater treatment exist, each having its unique characteristics. In this study, an application-specific review of various treatment models is performed. Extensions to existing treatment models are discussed for improvement in process performance. The treatment models are compared statistically based on their performance metrics, namely the quality of treated water (Q), sludge percentage at output (SL), complexity of treatment (C), time needed for treatment (T), and deployment cost (DC). A novel parameter, model rank, is proposed that combines all the performance metrics into a single number so that the treatment models can be analyzed effectively. Results show that advanced oxidation processes with ozone treatment (AOPO), Kernel principal components analysis-based one-class support vector machine (KPCA SVM), electrochemical processes (EPs), membrane and absorption (MA), Nondominated Sorting Genetic Algorithm-based Optimal Controller (NSGAOC), and wet-type nonthermal plasma reactor (WTNPR) models have a rank above 3.5. The AOPO model has the highest model rank of 3.85 and thus has better overall performance than others. This study might aid major stakeholders in waste treatment industry including researchers in selecting the appropriate wastewater treatment method according to their requirements.

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