Abhilash Muralidharan NairNorwegian University of Life Sciences (NMBU) · Department of Mathematical Sciences and Technology (IMT)
Abhilash Muralidharan Nair
Project Manager - Process Control at DOSCON AS
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November 2015 - May 2016
Anaerobic digestion was analyzed as the biological process that converts the organic matter present in various types of wastes, activated sludge from the wastewater treatment facilities respectively, into biogas. Latest advancements in the mathematical modeling, simulation and control practices have helped in gaining a better insight of the process...
This study is aimed for a sensitivity analysis to understand the effects of various stoichiometric and kinetic parameters, input composition, carbon and nitrogen composition in the Anaerobic Digestion Model No. 1 (ADM1). The ADM1 has been modified based on the design parameters and process conditions from Cluj-Napoca WWTP. It has to be further cali...
Although the activated sludge models for waste water treatment plants (WWTPs) offer comprehensive description of their involved biochemical and physical processes, it is a challenging task to calibrate the model for the operational plant. The article first presents a systematic calibrating procedure applied to the Activated Sludge Model No.1 (ASM 1...
Online monitoring of water quality parameters can provide better control over various operations in wastewater treatment plants. However, a lack of physical online sensors, the high price of the available online water-quality analyzers, and the need for regular maintenance and calibration prevent frequent use of online monitoring. Soft-sensors are...
Phosphorus (P) from bio-P sludge can precipitate uncontrolled in the sludge treatment line and decrease the potential for phosphorus recovery. The presence of an anaerobic unit (or equivalent) before the pre-dewatering stage could favor the early release of phosphorus and minimize uncontrolled struvite precipitation in the anaerobic digestion (AD)...
Online monitoring of wastewater quality parameters is vital for an efficient and stable operation of wastewater treatment plants (WWTP). Several WWTPs rely on daily/weekly analysis of water samples rather than online automated wet-analyzers due to their high capital and maintenance costs. Soft-sensors are emerging as a viable alternative for real-t...
This study aimed to investigate the performance of a sequencing batch moving bed biofilm reactor (SB-MBBR) for biological P removal (Bio-P) treating diluted municipal wastewater at 10 °C and 20 °C, with volatile fatty acid (VFA) dosing during weekdays and without VFA dosing during weekends to simulate an industrial influenced wastewater. The overal...
Resource recovery from municipal wastewater has been a prime focus for a decade. Although several recovery processes already exist in the market today, the high cost of material, inherent disturbance in the influent quality, lack of real time monitoring of critical parameters, and lack of a robust automation system may result in sub-optimal perform...
Enhanced biological phosphorus removal (EBPR) from municipal wastewater has been achieved in a multistage Moving Bed Biofilm Reactor (MBBR) configuration. The process operations can be further optimized by real-time monitoring of water quality parameters in the individual chambers of the EBPR-MBBR process. This work presents a hybrid, soft-sensor a...
Model-based soft sensors can enhance online monitoring in wastewater treatment processes. These soft sensor scripts are executed either locally on a programmable logic controller (PLC) or remotely on a system with data-access over the internet. This work presents a cost-effective, flexible, open source IoT solution for remote deployment of soft sen...
This poster presents the idea of MPC control of nitrate concentration in a pre-denitrification system, using time series artificial neural network model.
The main aim of this project is to design strategies to improve recovery of resources from wastewater. My work largely focuses on improving the process efficiency and optimization of process design through better surveillance and process control.