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Comparison of Scale in a Photosynthetic Reactor System for Algal Remediation of Wastewater

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Published on: March 6, 2017

Metamodeling-based reliability analysis framework for activated sludge processes.

R A Borobio-Castillo¹, J M Cabrera-Miranda¹, B Corona-Vásquez¹

¹Department of Civil and Environmental Engineering, Universidad de las Américas Puebla, Ex-Hacienda Santa Catarina Mártir S/N, San Andrés Cholula, Puebla 72810, México.

|March 19, 2024

Summary

This summary is machine-generated.

A new framework using metamodels enhances activated sludge process reliability analysis. It efficiently estimates failure rates under changing conditions and stricter regulations, aiding facility design decisions.

Keywords:

Activated sludge Benchmarking Meta-modeling Reliability analysis Wastewater treatment

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Published on: January 30, 2019

Area of Science:

Environmental Engineering
Water Treatment Technologies

Background:

Activated sludge process reliability is threatened by population growth, urbanization, climate change, and stricter environmental regulations.
Existing reliability analysis methods lack the capacity to manage these multifaceted challenges and suffer from insufficient statistical significance due to limited simulations.

Purpose of the Study:

To introduce a novel metamodeling-based reliability analysis framework for activated sludge processes.
To effectively manage challenges related to wastewater production and pollutant loading alterations.
To assess process reliability under various effluent quality standards and facility designs.

Main Methods:

Development of a metamodeling-based reliability analysis framework.
Leveraging metamodels to conduct extensive simulations (100,000+) for reliability estimation.
Assessment of annual failure rates for different activated sludge facility designs under four regulatory scenarios.

Main Results:

The framework produced high-resolution results, enabling accurate reliability estimation.
Successfully assessed the impact of stricter effluent quality standards on facility designs.
Demonstrated the framework's effectiveness in evaluating annual failure rates.

Conclusions:

The proposed framework provides a robust and efficient method for activated sludge process reliability analysis.
Metamodel integration significantly reduces computational costs, facilitating time and resource-efficient decision-making in facility design.
The framework is crucial for adapting wastewater treatment to future environmental and regulatory demands.