Paper Product Production Digital Twin for Energy and CO2 Tracking
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Solution Overview
Problem
The paper and pulp industry faces challenges in accurately measuring and optimizing energy consumption and CO2 emissions due to the lack of online monitoring of material attributes and varying qualities of input resources, leading to inefficiencies and high environmental footprints.
Innovation Solution
A method and system utilizing a virtual material flow digital twin (MF-DT) to model and track input parameters, implementing a soft-sensor to measure and optimize energy and CO2 consumption by representing materials as virtual portions with attributes, and applying slicing and merging concepts to model resources and processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive sensors/devices are used to track material attributes for optimizing CO2 emission and energy consumption, then measurement precision improves, but device complexity and cost increase
Solution Approach 1:
The patent creates a virtual copy (digital twin) of the physical material flow system. Instead of using expensive physical sensors to track every material attribute, the system creates virtual representations of materials, energy, and resources that can be tracked and analyzed in a virtual environment. This virtual model mirrors the physical system's behavior and allows for precise tracking of CO2 emissions and energy consumption without requiring corresponding expensive physical measurement devices for every parameter.
Solution Approach 2:
The patent introduces a virtual material flow digital twin as an intermediary between the physical material flow and the measurement/analysis system. This virtual model acts as a mediator that captures and processes information about material attributes, energy consumption, and CO2 emissions. Rather than directly measuring all physical parameters with expensive sensors, the system uses the virtual model to infer and track these parameters, reducing the need for complex physical sensing infrastructure.
2Productivity
If online monitoring of material attributes is implemented throughout the process, then productivity and optimization improve, but device complexity and cost increase
Solution Approach 1:
The system creates a virtual replica of the entire material flow process that can be monitored and optimized without adding complex physical monitoring infrastructure to every process step. The virtual model receives data from key points and simulates the complete material flow, allowing comprehensive online monitoring and optimization through the virtual representation rather than requiring physical sensors at every location.
Solution Approach 2:
The virtual material flow digital twin serves multiple functions simultaneously: it tracks material attributes, monitors energy consumption, calculates CO2 emissions, enables process optimization, and provides a basis for what-if analysis. This single virtual modeling approach replaces what would otherwise require multiple separate physical monitoring and control systems, reducing overall device complexity while maintaining comprehensive monitoring capabilities.
3Measurement precision
If virtual material flow digital twin and soft-sensor are used to measure and optimize energy and CO2 consumption, then measurement precision and optimization capability improve, but device complexity increases
Solution Approach 1:
The patent creates virtual copies of materials, energy flows, and resource consumption that can be precisely tracked through the digital twin model. These virtual representations allow for accurate measurement of energy consumption and CO2 emissions by following the virtual material flow through all process steps, applying appropriate conversion factors and calculations at each stage, without requiring direct physical measurement of every energy and emission parameter.
Solution Approach 2:
The patent replaces physical measurement mechanisms (sensors, meters, monitoring devices) with a virtual modeling and calculation system. Instead of using mechanical or electronic sensors to directly measure energy consumption and CO2 emissions at various process points, the system uses computational models that calculate these parameters based on virtual material flow data, process parameters, and embedded conversion relationships. This substitutes a software-based measurement approach for hardware-based measurement.
Data Source
AI summary
A method and a system of producing a paper product by processing a continuously flowing material is described. The method incudes virtually discretizing the material into a plurality of material portions; generating material portion representors associated with the material portions, wherein generating the material portion representors includes generating respective attributes of each of the material portion representors; for at least some of the process steps of the process, modifying the material portion representors by a respective virtual process step function. The method further includes a splitting process stage including splitting a portion of a downstream material portion representor into a split resource material portion representor and a remaining material portion representor. The method further incudes a merging process stage including merging with an upstream material portion representor a mergeable resource material portion representor.


