Dynamic Enzyme Dosing for Pulp and Paper Production
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Solution Overview
Problem
Conventional paper making processes face challenges in optimizing enzyme selection and dosing due to inherent variability in fiber properties, leading to inefficiencies, waste, and suboptimal product quality.
Innovation Solution
A system and method utilizing a database of fiber, enzyme, and system data to optimize enzyme dosing in real-time, incorporating feedback from online sensors and data analytics to dynamically adjust enzyme blends and dosing rates based on fiber surface characterization, quality analysis, and process conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional enzyme dosing methods are used, then the process is simple and cost-effective, but enzyme selection and dosing are suboptimal due to fiber variability
Solution Approach 1:
The system dynamically adjusts enzyme selection and dosing rates in real-time based on continuously monitored fiber properties and process conditions. The controller modifies enzyme formulation parameters adaptively to match changing fiber characteristics, transitioning from static conventional dosing to dynamic optimized dosing.
Solution Approach 2:
The system incorporates feedback loops where sensors monitor fiber properties, enzyme activity, and process outcomes, and this information is fed back to the controller to adjust enzyme dosing. This closed-loop feedback mechanism enables continuous optimization of enzyme selection and dosing rates based on actual process performance.
2Manufacturing precision
If enzyme dosing is optimized for each fiber type, then product quality improves, but the cost and time for analysis and selection increase
Solution Approach 1:
The system performs preliminary characterization of fiber properties upstream in the process, establishing a database of fiber properties before enzyme dosing begins. This advance preparation enables rapid selection and adjustment of enzyme formulations without time-consuming analysis during the critical enzyme application phase.
Solution Approach 2:
The system automatically performs fiber characterization and enzyme selection based on sensor data, eliminating the need for manual analysis and expert intervention. The automated controller independently adjusts enzyme dosing rates and formulations based on real-time fiber property monitoring, reducing both time and labor requirements.
3Adaptability or versatility
If manual enzyme formulation is used, then the system is easier to operate, but it cannot respond to real-time changes in fiber properties
Solution Approach 1:
The automated controller independently monitors fiber properties via sensors and self-adjusts enzyme dosing rates and formulations without requiring manual intervention. The system performs self-optimization by processing sensor data and automatically modifying process parameters, eliminating the need for operator expertise while maintaining real-time adaptability.
Solution Approach 2:
The system replaces manual operator judgment and adjustment with automated electronic control systems. Sensors and controllers substitute for human expertise in monitoring and adjusting enzyme dosing, enabling real-time responses to fiber property changes through electronic data processing and automated actuation.
4Manufacturing precision
If comprehensive fiber characterization data is collected, then enzyme selection is optimized, but data management and system complexity increase
Solution Approach 1:
The system uses a multi-functional integrated platform that combines fiber characterization sensors, process monitoring, enzyme dosing control, and data management into a single unified system. This universal approach handles diverse data types and functions through one cohesive architecture, reducing overall system complexity despite comprehensive data collection capabilities.
Data Source
AI summary
Systems and methods as disclosed herein automatically provide real-time dosing corrections for an industrial process wherein enzyme blends are applied to natural fibers for pulp/paper production. An initial enzyme blend (e.g., enzymes and supporting formulation components, as relevant) and respective dose rates are selected to be applied based on expected fiber surface substrate characterization, expected fiber quality characterization, the physical conditions of the system being treated, respective characteristics of the initially selected enzyme blend components, etc. Upon application of the initial enzyme blend, online sensors provide real-time feedback data corresponding to measured actual values for the fiber surface substrate characterization and fiber quality characterization. A replacement enzyme blend (enzymes and supporting formulation components) and respective dose rates thereof is dynamically selected based on the feedback data. The enzyme dosing stage can be optimized responsive to product changes and/or variations in fiber sources/blend and/or physical conditions, substantially in real time.