Bio-crude Simulation Complexity Reduction via Compound Segmentation
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Solution Overview
Problem
Current methods for simulating thermochemical conversion of biomass, such as pyrolysis, face challenges in accurately representing complex bio-crudes with hundreds of compounds, leading to inaccurate process simulations due to the high number of constituent compounds and incomplete utilization of experimental data.
Innovation Solution
A method that uses experimental data from GC-MS analysis to group and select representative compounds, reducing the number of constituents while maintaining accurate physical, chemical, and thermodynamic properties, enabling efficient and accurate bio-crude process simulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the complete composition of bio-crudes containing hundreds of compounds is used for process simulation, then the accuracy of physical and chemical properties is improved, but the complexity of the simulation system increases and computational efficiency deteriorates
Solution Approach 1:
The patent segments the complex bio-crude mixture into multiple fractions based on boiling point ranges (e.g., light fraction, middle fraction, heavy fraction). Each fraction is then represented by a smaller number of representative compounds rather than including all hundreds of individual compounds. This segmentation approach maintains the overall compositional accuracy while significantly reducing simulation complexity.
Solution Approach 2:
The patent creates simplified copies of the actual bio-crude composition by selecting representative compounds that mimic the properties of larger groups of similar compounds. Instead of simulating every actual compound present, representative compounds are used as proxies, preserving the essential physical and chemical behavior while reducing the number of components in the simulation model.
2Productivity
If the number of constituent compounds in bio-crude is reduced for efficient simulation, then the computational efficiency is improved, but the accuracy of representing the original complex mixture deteriorates
Solution Approach 1:
The patent changes the parameters used to represent compound groups by selecting key characteristics (such as average molecular weight, boiling point, and compositional ratios) that define representative compounds for each fraction. By carefully choosing and adjusting these parameters, the simulation maintains accurate representation of the original mixture's behavior despite using fewer compounds.
Solution Approach 2:
The patent applies different levels of detail to different portions of the mixture. Each boiling point fraction is represented with compounds that have locally optimized properties matching that specific fraction's characteristics. This local quality approach ensures that each reduced group accurately represents its specific portion of the original mixture, maintaining overall accuracy while reducing total complexity.
3Loss of time
If manual mixing and matching of pseudocomponents is performed to adjust mixture properties, then the time required to constitute the reduced mixture is reduced, but the accuracy of the reduced mixture properties deteriorates
Solution Approach 1:
The patent performs preliminary classification of compounds into fractions based on boiling point ranges before selecting representative compounds. This preliminary organization of data by physical properties allows for systematic and automated selection of representatives that accurately reflect each fraction's characteristics, eliminating the need for time-consuming manual mixing while preserving accuracy through methodical, property-based selection.
Data Source
AI summary
The present invention relates to a method for reducing the complexity of bio-crudes. The method includes (a) obtaining experimental data of quantitative and qualitative analyses for the bio-crudes, (b) grouping compounds contained in the bio-crudes according to a predetermined basis based on the experimental data, (c) selecting representative compounds from among the compounds belonging to the same group, and (d) reconstituting the bio-crudes as a mixture of the representative compounds.