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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
Published on: September 7, 2019
Uncertainty determination methodology, sampling maps generation and trend studies with biomass thermogravimetric
Jose A Pazó1, Enrique Granada, Angeles Saavedra
1ETS Ingenieros Industriales, University of Vigo, Lagoas-Marcosende s/n 36200-Vigo, Spain; E-Mails: jpazo@uvigo.es (J.A.P.); peguia@uvigo.es (P.E.).
International Journal of Molecular Sciences
|December 15, 2010
Summary
This study quantifies sampling errors in thermogravimetric analysis (TG analysis) for lignocellulosic biomass, finding TG analysis reliably represents fuel composition. Results are crucial for optimizing biomass energy applications.
Area of Science:
- Biomass energy
- Thermochemical conversion
- Materials science
Background:
- Accurate characterization of lignocellulosic materials is vital for biomass energy applications.
- Previous research by the authors established foundational work in this area.
- Understanding thermal properties is key to efficient energy conversion.
Purpose of the Study:
- To determine maximum sampling error and confidence intervals for thermal properties using thermogravimetric analysis (TG analysis).
- To compare TG analysis results with prompt analysis for lignocellulosic materials.
- To assess the reliability and correlation of TG analysis data for biomass characterization.
Main Methods:
- Thermogravimetric analysis (TG analysis) was performed on ground olive stone, almond shell, pine pellets, and oak pellets.
- A comparative analysis was conducted between TG analysis and prompt analysis.
- Statistical methods were employed to determine sampling errors and confidence intervals.
Main Results:
- Maximum sampling errors and confidence intervals for thermal properties were successfully determined.
- TG analysis results were found to be representative of the overall fuel composition.
- No significant correlation was observed between prompt analysis and TG analysis results.
- Trends and time correlations in the data were identified.
Conclusions:
- Thermogravimetric analysis provides reliable data for the thermal properties of lignocellulosic biomass.
- The method developed is valuable for assessing the accuracy of thermal property measurements.
- Findings support the use of TG analysis in optimizing biomass energy applications.
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