FTIR-PAS coupled to partial least squares for prediction of ash content, volatile matter, fixed carbon and calorific value of coal
| Autor: | Jáder Guerrero, Yesid Román Gómez, Enrique Mejía-Ospino, Rafael Cabanzo Hernández |
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| Rok vydání: | 2018 |
| Předmět: |
Fixed carbon
General Chemical Engineering 010401 analytical chemistry Organic Chemistry Energy value of coal Analytical chemistry Energy Engineering and Power Technology 02 engineering and technology 01 natural sciences 0104 chemical sciences symbols.namesake Fuel Technology Standard error Fourier transform 020401 chemical engineering Content (measure theory) Partial least squares regression symbols Heat of combustion 0204 chemical engineering Photoacoustic spectroscopy Mathematics |
| Zdroj: | Fuel. 226:536-544 |
| ISSN: | 0016-2361 |
| DOI: | 10.1016/j.fuel.2018.04.040 |
| Popis: | Fourier Transform Infrared Photoacoustic Spectroscopy (FT-IR PAS) and multivariate calibration using partial least squares (PLS) has been coupled for the development of predictive models of ash content, volatile matter, fixed carbon and calorific value of coal samples from several mines of Colombia. In the chemometric approach, a novel alternative is proposed to define the complexity and the selection of the models. According to tests and statistical criteria, at a 95% confidence level, the selected models demonstrate their linear character and a true correlation between the reference values and the predicted values. Results provide standard error of cross-validation (SECV) of 1.22 wt%, 0.78 wt%, 1.08 wt% and 0.75 MJ kg−1 predicting ash, volatile matter (VM), fixed carbon (FC) and calorific value, respectively. |
| Databáze: | OpenAIRE |
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