NIR Spectroscopy for Real-Time Biodiesel Blending Control
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Solution Overview
Problem
Current methods for determining biodiesel content in conventional diesel are inefficient and lack the ability to handle multiple sources of biodiesel and diesel in real-time, particularly in blending processes, requiring rapid and non-destructive analytical techniques.
Innovation Solution
The use of Near Infrared (NIR) spectroscopy to measure absorption in the 800-2500 nm range, combined with multivariate regression analysis, such as Partial Least Squares (PLS), to predict biodiesel content, allowing for real-time monitoring and control of blending processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional analytical methods (gas chromatography) are used to determine biodiesel content, then measurement accuracy is maintained, but analysis time is excessive and real-time monitoring is not achieved
Solution Approach 1:
The patent replaces traditional mechanical/chemical analytical methods (gas chromatography) with optical spectroscopy (NIR spectroscopy). The NIR spectrometer measures absorbance spectra of the fuel sample, and multivariate regression models predict biodiesel content from these spectral data, achieving rapid analysis without the time-consuming steps of traditional chromatographic separation and detection
Solution Approach 2:
The patent transforms the analytical approach by changing from direct chemical analysis to optical property measurement. By measuring NIR absorbance spectra (optical parameters) and using mathematical models to correlate these with biodiesel content, the system achieves rapid determination while maintaining accuracy through calibration with known standards
2Adaptability or versatility
If multiple sources of biodiesel and conventional diesel are used in blending, then fuel supply flexibility is improved, but measurement complexity increases and single-model prediction becomes difficult
Solution Approach 1:
The patent develops a universal NIR spectroscopy-based regression model that can predict biodiesel content across multiple biodiesel sources (soy, animal fat, vegetable oil, restaurant oil waste) and multiple conventional diesel sources simultaneously. The multivariate calibration approach captures the spectral variations from different sources, creating a single robust model that handles diversity without requiring source-specific calibration
Solution Approach 2:
The patent creates a composite predictive model that integrates spectral information from multiple sources and conditions. By using multivariate regression analysis on NIR spectra collected from blends of various biodiesel and diesel sources, the model synthesizes a unified prediction capability that accounts for the complexity of multiple components and variations
3Productivity
If manual blending processes are used, then operational simplicity is maintained, but process efficiency is low and precision is poor
Solution Approach 1:
The patent implements a feedback control system where NIR spectroscopy continuously or periodically measures the actual biodiesel content in the blending stream, and this measurement feedback is used to adjust the blending process. The system compares predicted biodiesel content with target specifications and automatically adjusts blending parameters to maintain precision, enabling both high productivity and accurate control
Solution Approach 2:
The NIR spectroscopy system enables the blending process to self-monitor and self-adjust. The automated regression model continuously predicts biodiesel content from spectral measurements, and the system uses this information to maintain optimal blending without requiring constant manual intervention, thereby improving both efficiency and precision
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and efficient determination of biodiesel concentration in complex mixtures, facilitating automated blending and optimizing biodiesel content in fuel products, improving process efficiency and reducing waste.
Implementation Method 1
measuring the near infrared absorption in a portion of the range of 800-2500 nm; in particular 1100-2500 nm used to quantify the biodiesel content
Data Source
AI summary
A process and system for the analysis and/or control of a mixture of liquid hydrocarbons and biodiesel to determine biodiesel concentration includes a) measuring the near infrared absorption in at least two of the bands of two absorption bands from a portion of the range of 800-2500 nm; in particular 1100-2500 nm which are used to quantify the biodiesel content. b) taking each of the absorbances measured, or a mathematical function thereof, c) performing at least one mathematical computing or statistical treatment using the above absorbances or functions as individual independent variables, d) assigning and applying weighting constants or their equivalents to the independent variables, and, optionally e) applying the above steps using known compositions to calibrate the instrument and determine the weighting constants or equivalents, and further optionally f) outputting a signal indicative of the biodiesel concentration in the mixture, based on the absorbances or functions.