Modeling performance of industrial park wastewater treatment plant by STOAT software

Minhaj, Putri Ghina O.; Pratama, Mochamad Adhiraga; Adityosulindro, Sandyanto; Hartono, Djoko Mulyo

doi:10.1051/e3sconf/202021102018

Cited by 4 publications

(2 citation statements)

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“…This means that effluent COD and TSS are sensitive to the variation in the Vesilind settling velocity. In general, a reduction in effluent TSS with an increase in the settling parameter is consistent with the results obtained from Wang et al (2019) and Minhaj et al (2020).…”

Section: Resultssupporting

confidence: 92%

Performance evaluation of an oily industrial wastewater treatment system using the application of activated sludge model No. 3

Ayoub

2023

Water & Environment J

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The purpose of the present study was to adapt the activated sludge model No. 3 (ASM3) to the characteristics of oily industrial wastewater, determining the utmost significant and appropriate kinetic as well as stoichiometric parameters. An oily industrial wastewater treatment system was simulated to assess ASM3 validation and perform sensitivity analysis using the STOAT program. The obtained results revealed that the ASM3 model, which was calibrated after adding the Arrhenius equation into consideration, provided strong correlations with the analytical results of chemical oxygen demand (COD), total suspended solids (TSS), mixed liquor volatile suspended solids (MLVSS) and total suspended solids in the return activated sludge flow (TSS in RAS) concentrations. The values of modelled effluent COD and TSS are very close to those corresponding real values of the treated wastewater by a difference of between 0.5% and 1.5%. Thus, this model becomes successful in representing oily industrial wastewater treatment as a new trend added to the traditional modelling of sewage treatment.

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Section: Resultssupporting

confidence: 92%

Performance evaluation of an oily industrial wastewater treatment system using the application of activated sludge model No. 3

Ayoub

2023

Water & Environment J

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“…In [19], the authors performed a periodic sensitivity analysis of an industrial wastewater treatment plant (WWTP) using process simulation on a STOAT modeling software. The simulation study helped in identifying the contaminants removal efficiency of the plant and the most critical parameter affecting its performance.…”

Section: Simulation Modeling In Water Industrymentioning

confidence: 99%

ICT Implications for a Pilot Water Treatment Plant Using Simulation Modeling

Afridi

Mukhopadhyay

2023

JSAN

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The current work is an illustration of an empirical investigation conducted on a pharmaceutical water treatment plant that subsequently proposes potential ICT implications for optimizing the plant’s conventional operating procedures and improving production efficiency. Typically, the pilot plant incorporates a standard infrastructure for maintaining quality and production goals. In the study, a schematic of the reverse osmosis section of the pilot treatment plant was developed. A mathematical modeling and process simulation approach was adopted to carry out the linear process investigation and validation of key performance parameters. The study’s findings reveal that the performance and lifecycle of the RO treatment unit are primarily determined via the structured pre-treatment filtering procedures, including critical parameters such as volumetric flowrate, solute concentrations, and differential pressure across the membrane. These operational parameters were also found to be instrumental in increasing plant production and improving equipment efficiency. Based on our results, the study proposes cost-effective ICT implications for plant managers through which pilot organization can substantially save on their annual water and energy consumption.

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