Advanced Process Optimization Framework for Enhancing Biogranule Development Using Static Mixers in Aerobic Textile Wastewater Treatment Systems
Abstract
Aerobic granulation has emerged as a transformative approach in wastewater treatment, offering superior biomass retention, compact reactor design, and enhanced pollutant removal efficiency compared to conventional activated sludge processes. However, achieving stable and rapid biogranule formation in textile wastewater systems remains a critical challenge due to fluctuating organic loads, inhibitory compounds, and hydrodynamic limitations. This study proposes an advanced process optimization framework integrating static mixers within aerobic sequencing batch reactor (SBR) systems to enhance biogranule development and treatment performance. The framework systematically examines hydrodynamic shear forces, mass transfer efficiency, and microbial aggregation mechanisms influenced by static mixer configurations. A structured methodological approach combining theoretical modeling, reactor design optimization, and parameter sensitivity analysis is employed. Findings indicate that controlled turbulence induced by static mixers significantly accelerates granulation, improves sludge settleability, and enhances organic and nutrient removal efficiencies. The study further highlights the interplay between operational parameters such as dissolved oxygen, hydraulic retention time, and sludge retention time in governing granule stability. The proposed framework provides a scalable and efficient solution for textile wastewater treatment, contributing to sustainable environmental management and industrial wastewater reuse strategies.
Keywords
References
Most read articles by the same author(s)
- Pavlo Tkachenko, Comparison of The Effectiveness of Various Types of Connections (Rigid, Hinged, Semi-Rigid) In Steel Systems, Depending on The Height and Span of The Building , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Rajesh K. Singh, Arun Mehta, INNOVATIVE TURN INDICATOR SYSTEM: VOICE-ASSISTED TECHNOLOGY FOR SAFER AND SMARTER DRIVING , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 02 (2025): Volume 02 Issue 02
- Anastasiia Livintseva, Integrating Urban Development and Entrepreneurship: How A Product-Oriented Approach Is Transforming and Real Estate Development , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Andre Castillo, Role of Smart Digital Technologies in Enhancing Regulatory Alignment and Formal Documentation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Matteo Ricci, Redefining Ethical Asset Management Through Intelligent Technologies and Cognitive Expertise , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Abhishek Agarwal, Anil Desai, VEHICLE HEALTH INSPECTIONS IN THE DIGITAL AGE: HARNESSING AUTO DIAGNOSTICS FOR PROACTIVE MAINTENANCE , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 06 (2025): Volume 02 Issue 06
- Mateo Laurent Dubois, Adaptive Chaos Engineering and AI-Driven Dependability Modeling for Resilient Cloud-Native and Safety-Critical Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Veherinskyi Taras Ihorovych, Optimization of Hydraulic System Operation in Agricultural Machinery for The Purpose of Reducing Energy Consumption , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Dr. Wei Zhang, Prof. Liying Chen, An Intelligent Systems-Based Evaluation Model of Rural Agricultural Development in China Inspired by International Precision Farming Technologies , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Dr. Eleanor M. Whitford, Deep Learning and Intelligent Control in High-Stakes Systems: An Integrative Research Study on Lung Cancer CT Diagnosis and AI-Enabled Electric Vehicle Grid Management , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
Similar Articles
- Dr. Amelia R. Foster, AI-Driven Cloud-Native Intelligence for Cost-Efficient, Secure, and Domain-Specific Decision Systems: An Integrative Research Study Across Hybrid Cloud Optimization, Healthcare Analytics, Edge-IoT, and E-Learning , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Dinesh Perera, Nethmi Fernando, AI-Enabled Test Case Generation and Optimization for Modern Software Development , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Arjun Mehta, Cognitive Automation Architectures Advancing Pharmacy Benefit Service Governance Outcomes , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Rohan Malhotra, Kavya Iyer, Lean Production Optimization Through SAP PP and SAP Digital Manufacturing Integration , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Clara E. Whitmore, Artificial Intelligence for Resilient Decentralized Infrastructures: An Integrative Research Study on Hybrid Renewable Energy Management and Real-Time Digital Payment Fraud Detection , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Dr. Marc Casal, Bio-Inspired Predictive Layered Architecture targeting Online Data Flow Anomaly Discovery , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 05 (2026): Volume 03 Issue 05
- Dr. A. Sterling, Automated Scalability and Cost Governance in Cloud-Native Microservices: An Orchestration Framework Leveraging Kubernetes and Ansible , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Jean Claude Ndayizeye, Analyzing Unseen Customer Attributes with Innovative Cohort Identification Techniques , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Dr. Julian Thorne, Advanced Taxonomic Characterization and Algorithmic Optimization of Distributed Stream Processing Workloads: A Multi-Dimensional Analysis of Hybrid Cloud Resource Orchestration , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Alistair Sterling, The Convergence of Graph-Theoretic Architectures and Agentic Artificial Intelligence in Optimizing Multi-Cloud Ecosystems: A Comprehensive Analysis of Cost Dynamics and Resource Allocation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
You may also start an advanced similarity search for this article.