Design and Simulation of New Type Reactor in the Wastewater Treatment System Based on Discharge Plasma

Xiang, Hongjun; Liu, Bin; Yuan, Xichao; Lv, Qing-ao; Zhang, Qian

doi:10.1109/tps.2018.2870066

Cited by 12 publications

(2 citation statements)

References 6 publications

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“…Electrochemical methods (EMs) (Saetta et al 2019) are also useful for cyanide removal from wastewater with higher efficiency than chemical or sedimentation processes. While, data-driven iterative adaptive critic (DDIAC) strategy (Wang et al 2021), stacking ensemble learning (SEL) (Liu et al 2020b), chemical treatment of anaerobic reactor (CTAR) (Zeb et al 2020), and discharged plasma-based reactor (DPBR) design (Xiang et al 2019) are proposed by authors, these models are highly application-specific, and do not scale well due to their inherent internal compositions. Thus, water output from these models is used for non-drinking purposes only.…”

Section: Literature Reviewmentioning

confidence: 99%

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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Section: Literature Reviewmentioning

confidence: 99%

Pragmatic analysis of wastewater treatment methods from a statistical perspective

Pande

Bhagat

2022

Water Practice and Technology

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“…Hongbin et al (Hongbin et al 2020) demonstrated the performance of fuzzy partial least squared based dynamic Bayesian networks in modelling an industrial WWTP. Hong-Jun (Xiang et al 2019) explained the design and simulation of new type of reactor based on discharge plasma in treating the industrial organic wastewater.…”

Section: Introductionmentioning

confidence: 99%

A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant

Kumar

Latha

2021

Water Science and Technology

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The application of control strategies in wastewater treatment plants has increased to improve its performance of treating the influent. Fuzzy Logic controller plays a vital role in this work and the simulation work is being carried out in Benchmark simulation model no.1 (BSM1) framework. The attempted work proposes two control schemes with the objectives of improving the effluent quality and minimizing the number of measurements taken from the plant. The design of fuzzy control schemes is based on 5 inputs and 6 outputs in order to accomplish the objectives. Experimental results show improvement in the effluent quality and increase in the efficacy of the control system. The proposed design is implemented using MATLAB with the adaptation of 2014a.

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Effluent ammonia nitrogen prediction using a phase space reconstruction method combining pipelined recurrent wavelet neural network

Yin

Yang

Qiao

2022

Applied Soft Computing

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Design and Simulation of New Type Reactor in the Wastewater Treatment System Based on Discharge Plasma

Cited by 12 publications

References 6 publications

Pragmatic analysis of wastewater treatment methods from a statistical perspective

Pragmatic analysis of wastewater treatment methods from a statistical perspective

A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant

Effluent ammonia nitrogen prediction using a phase space reconstruction method combining pipelined recurrent wavelet neural network

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