تقرير
Comprehensive Framework for Controlling Nonlinear Multi-Species Water Quality Dynamics
| العنوان: | Comprehensive Framework for Controlling Nonlinear Multi-Species Water Quality Dynamics |
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| المؤلفون: | Elsherif, Salma M., Taha, Ahmad F., Abokifa, Ahmed A., Sela, Lina |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science Mathematics |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Systems and Control, Mathematics - Optimization and Control |
| الوصف: | Tracing disinfectant (e.g., chlorine) and contaminants evolution in water networks requires the solution of 1- D advection-reaction (AR) partial differential equations (PDEs). With the absence of analytical solutions in many scenarios, numerical solutions require high-resolution time- and spacediscretizations resulting in large model dimensions. This adds complexity to the water quality control problem. In addition, considering multi-species water quality dynamics rather than the single-species dynamics produces a more accurate description of the reaction dynamics under abnormal hazardous conditions (e.g., contamination events). Yet, these dynamics introduces nonlinear reaction formulation to the model. To that end, solving nonlinear 1-D AR PDEs in real time is critical in achieving monitoring and control goals for various scaled networks with a high computational burden. In this work, we propose a novel comprehensive framework to overcome the large-dimensionality issue by introducing different approaches for applying model order reduction (MOR) algorithms to the nonlinear system followed by applying real-time water quality regulation algorithm that is based on an advanced model to maintain desirable disinfectant levels in water networks under multi-species dynamics. The performance of this framework is validated using rigorous numerical case studies under a wide range of scenarios demonstrating the challenges associated with regulating water quality under such conditions. |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1061/JWRMD5.WRENG-6179 |
| URL الوصول: | http://arxiv.org/abs/2302.10104 |
| رقم الأكسشن: | edsarx.2302.10104 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1061/JWRMD5.WRENG-6179 |
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