Application Note: RTC-N: Modelling Ammonia-Based Aeration Control in Real Time for Deeper Process Control

Document ID

Document ID CO300

Published Date

Published Date 10/11/2018
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Application Note: RTC-N: Modelling Ammonia-Based Aeration Control in Real Time for Deeper Process Control
 
Traditional forms of modelling and their commercially available systems have been reliable tools for planning large scale projects such as new plant designs or expansions. However, from a unit operation’s perspective, these resources can have limitations as process control/optimization tools:
• Limited data set based on composite or average data which may mask diurnal patterns or unique events
• Reliance on past data, which may be up to five years old
• Each model must be built and manually calibrated to the specific unit process
• Models require a sophisticated skill set to properly create and calibrate
• Modelling software can be prohibitively expensive for individual unit process modelling.
 
In order to overcome these limitations, plant staff are adopting real-time modelling as a means to determine the potential benefits of upgrading and optimizing processes such as nitrification, chemical dosing, and sludge treatment. Manufacturers couple instrumentation and computers for process modelling and control, which provide significant benefits to plant staff over traditional modelling tools:
• Models are pre-created and minimal configuration is required to adapt to the plant
• Self-learning models do not require a sophisticated skillset to calibrate
• Real-time data assists with daily process control operations and decision support
• Outputs can be compared toactual operations in order to enumerate benefits.

RTC-N: Modelling Ammonia-Based Aeration Control in Real Time for Deeper Process Control (US English)

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