Application of Data Driven techniques to Predict N<sub>2</sub>O Emission in Full-scale WWTPs

Danishvar, Morad; Vasilaki, V.; Huang, Zhengwen; Katsou, Evina; Mousavi, Ali

doi:10.1109/indin.2018.8472075

Cited by 2 publications

(4 citation statements)

References 8 publications

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“…In order to achieve this, computational and instrumental improvements should be made for better data transmission and processing abilities. 116 Furthermore, autofeedback systems 112 can be developed to adjust the operational conditions in response to the measured results to realize realtime N 2 O mitigation without comprising the system performance. The data driven techniques are of great potential for providing guidance for N 2 O mitigation in WWTPS.…”

Section: Challenges and Opportunities For N 2 Omentioning

confidence: 99%

“…With the development of sensors and instruments, real-time data including online N 2 O concentrations can be collected in different operational units of WWTPs . Based on the extensive data collected, artificial neural network model can be established to correlate N 2 O emissions with different operational conditions, and predictions of N 2 O emissions can be made with more advanced data analysis systems. − The advantage of data driven techniques is that the algorithms will be able to calibrate itself in real-time. In order to achieve this, computational and instrumental improvements should be made for better data transmission and processing abilities .…”

Section: Challenges and Opportunities For N2o Mitigation At Wwtpsmentioning

confidence: 99%

“…Based on the extensive data collected, artificial neural network model can be established to correlate N 2 O emissions with different operational conditions, and predictions of N 2 O emissions can be made with more advanced data analysis systems. − The advantage of data driven techniques is that the algorithms will be able to calibrate itself in real-time. In order to achieve this, computational and instrumental improvements should be made for better data transmission and processing abilities . Furthermore, autofeedback systems can be developed to adjust the operational conditions in response to the measured results to realize real-time N 2 O mitigation without comprising the system performance.…”

Section: Challenges and Opportunities For N2o Mitigation At Wwtpsmentioning

confidence: 99%

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Insights into Nitrous Oxide Mitigation Strategies in Wastewater Treatment and Challenges for Wider Implementation

Duan

Zhao

Koch

et al. 2021

Environ. Sci. Technol.

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Nitrous oxide (N 2 O) emissions account for the majority of the carbon footprint of wastewater treatment plants (WWTPs). Many N 2 O mitigation strategies have since been developed while a holistic view is still missing. This article reviews the state-of-the-art of N 2 O mitigation studies in wastewater treatment. Through analyzing existing studies, this article presents the essential knowledge to guide N 2 O mitigations, and the logics behind mitigation strategies. In practice, mitigations are mainly carried out by aeration control, feed scheme optimization, and process optimization. Despite increasingly more studies, real implementation remains rare, which is a combined result of unclear climate change policies/incentives, as well as technical challenges. Five critical technical challenges, as well as opportunities, of N 2 O mitigations were identified. It is proposed that (i) quantification methods for overall N 2 O emissions and pathway contributions need improvement; (ii) a reliable while straightforward mathematical model is required to quantify benefits and compare mitigation strategies; (iii) tailored risk assessment needs to be conducted for WWTPs, in which more longterm full-scale trials of N 2 O mitigation are urgently needed to enable robust assessments of the resulting operational costs and impact on nutrient removal performance; (iv) current mitigation strategies focus on centralized WWTPs, more investigations are warranted for decentralised systems, especially decentralized activated sludge WWTPs; and (v) N 2 O may be mitigated by adopting novel strategies promoting N 2 O reduction denitrification or microorganisms that emit less N 2 O. Overall, we conclude N 2 O mitigation research is reaching a maturity while challenges still exist for a wider implementation, especially in relation to the reliability of N 2 O mitigation strategies and potential risks to nutrient removal performances of WWTPs.

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Section: Challenges and Opportunities For N 2 Omentioning

confidence: 99%

Section: Challenges and Opportunities For N2o Mitigation At Wwtpsmentioning

confidence: 99%

Section: Challenges and Opportunities For N2o Mitigation At Wwtpsmentioning

confidence: 99%

See 1 more Smart Citation

Insights into Nitrous Oxide Mitigation Strategies in Wastewater Treatment and Challenges for Wider Implementation

Duan

Zhao

Koch

et al. 2021

Environ. Sci. Technol.

View full text Add to dashboard Cite

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“…Therefore, the authors are proposing the Event Modeller techniques which could link the internal and external parameters together, to create a cause-effect relationship, while updating the system status in near real-time before the machine fails. The implementation of the event modeller technique recently has shown positive practical findings in various area and application such as high-speed causal prediction modelling [27,28], real-time Remaining Useful Life (RUL) estimation [29], and as a middleware to highly coupled input variable in zero-defect manufacturing [30], and predicting N 2 O Emission [31].…”

Section: Problem Statementmentioning

confidence: 99%

Event Modeller Data Analytic for Harmonic Failures

Zamsyah¹,

Mousavi²,

Danishvar³

2021

Adv. sci. technol. eng. syst. j.

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The optimum performance of power plants has major technical and economic benefits. A case study in one of the Malaysian power plants reveals an escalating harmonic failure trend in their Continuous Ship Unloader (CSU) machines. This has led to a harmonic filter failure causing performance loss leading to costly interventions and safety concerns. Analysis of the harmonic parameter using Power Quality Assessment indicates that the power quality is stable as per IEEE standards; however, repetitive harmonic failures are still occurring in practice. This motivates the authors to explore whether other unforeseen events could cause harmonic failure. Usually, post-failure plant engineers try to backtrack and diagnose the cause of power disturbance, which in turn causes delay and disruption to power generation. This is a costly and time-consuming practice. A novel event-based predictive modelling technique, namely, Event Modeller Data Analytic (EMDA), designed to inclusive the harmonic data in line with other technical data such as environment and machine operation in the cheap computational effort is proposed. The real-time Event Tracker and Event Clustering extended by the proposed EMDA widens the sensitivity analysis spectrum by adding new information from harmonic machines' performance. The added information includes machine availability, utilization, technical data, machine state, and ambient data. The combined signals provide a wider spectrum for revealing the status of the machine in real-time. To address this, a software-In-the-Loop application was developed using the National Instrument LabVIEW. The application was tested using two different data; simulation data and industrial data. The simulation study results reveal that the proposed EMDA technique is robust and could withstand the rapid changing of real-time data when events are detected and linked to the harmonic inducing faults. A hardware-inthe-Loop test was implemented at the plant to test and validate the sensitivity analysis results. The results reveal that in a single second, a total of 2,304 input-output relationships were captured. Through the sensitivity analysis, the fault causing parameters were reduced to 10 input-output relationships (dimensionality reduction). Two new failure causing event/parameter were detected, humidity and feeder current. As two predictable and controllable parameters, humidity and feeder velocity can be regulated to reduce the probability of harmonic fluctuation.

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Application of Data Driven techniques to Predict N₂O Emission in Full-scale WWTPs

Cited by 2 publications

References 8 publications

Insights into Nitrous Oxide Mitigation Strategies in Wastewater Treatment and Challenges for Wider Implementation

Insights into Nitrous Oxide Mitigation Strategies in Wastewater Treatment and Challenges for Wider Implementation

Event Modeller Data Analytic for Harmonic Failures

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Application of Data Driven techniques to Predict N2O Emission in Full-scale WWTPs

Cited by 2 publications

References 8 publications

Insights into Nitrous Oxide Mitigation Strategies in Wastewater Treatment and Challenges for Wider Implementation

Insights into Nitrous Oxide Mitigation Strategies in Wastewater Treatment and Challenges for Wider Implementation

Event Modeller Data Analytic for Harmonic Failures

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Product

Resources

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Application of Data Driven techniques to Predict N₂O Emission in Full-scale WWTPs